Exhibit 99.1

Australia ’ s Leading Neocloud Investor Presentation 01

Disclaimer 02 c o p y ri g h t s . Th is p r e s e nta t ion (th is “P r e s e nt at io n” ) is p r o vi de d sol e ly f or i n f or mat ion pu r p os e s o n ly an d d o e s n ot c o nst i tu t e an o f f e r t o s e ll, a soli c i t at ion of a n o f f e r t o bu y , or a r e c o mmendati on t o pu r cha se a n y equit y or de b t . O n Janua r y 28 , 2025 , S ha r o n AI Inc ., a Del a wa r e c or p o r a ti on (“ S ha r o n ” or “ S H A RO NA I”) , an d R o t h C H A cqui si ti on C o., a C a yma n Island s e x em pt e d c o mpa n y (“R O T H CH”) , e nt e r ed i nt o a B u si ne ss Co mb i n a t ion Ag r ee m e n t (a s i t m a y b e f u r the r amended , s upp l eme nt e d or o the r wise m o d ifi e d f r om t i m e t o t i me , th e “Me rg e r A g r eeme n t ”) r e g a r d i n g a p r o p os e d bu si ne ss c o mb i nat ion an d r e l at e d t r an s act io n s (th e “P r o p os e d B u si ne ss C o mb i nat io n”). Th e i n f or mat ion c o nt a i ne d he r e in d o e s n ot pu r p ort t o b e a ll - i nc l u si ve . Th e da t a c o nt a i ne d he r e in is de ri ve d f r om v a rio u s i nt e r na l an d e x t e r na l so u r ce s. No r ep r e s e nta t ion is mad e a s t o th e r ea so nab l ene ss of th e a ss um p t io n s made wi th in or th e accu r ac y or c o mp l et ene ss of a n y p r o ject io n s or m o de li n g or a n y o the r i n f or mat ion c o nt a i ne d he r e i n . A n y da t a on pas t pe r f or manc e or m o de li n g c o nt a i ne d he r e in is n ot a n i nd i ca t ion a s t o f utu r e pe r f or mance . S ha r on an d R O T H C H a ss um e n o o b li g at ion t o upda t e th e i n f or mat ion in th is P r e s e nta t io n , e x ce p t a s r equ i r e d b y l a w . No Of f er of Solici tat ion Thi s P r ese nta tio n doe s no t c o ns tit u t e a p ro xy s tat e m e n t or soli c i ta t ion of a p ro x y , c o nse n t , v o t e o r authori z a tio n with r e s p e c t t o a n y se cu r itie s or in r e s p e c t of t h e P r o p osed B u si ne ss C o mb i n a t ion a n d s h all n ot c o ns tit u t e an o f f e r t o sell or e x chan g e , or a soli c i t ati on of a n o f f e r t o bu y or e x chan g e a n y s ecu ri t i e s, n or s ha ll the r e b e a n y s a l e , iss uanc e or t r ans f e r of a n y s uc h s ecu ri t i e s in a n y s t a t e or ju ris d i ct ion in w h i c h s uc h o f f e r , soli c i t at ion or s a le w o u ld b e un l a wf u l p rior t o r eg i st r a t ion or qua lifi c at ion unde r th e s ecu ri t i e s l a w s of s uc h s t a t e or ju ris d i ct io n . No o f f e r of s ecu ri t i e s s ha ll b e mad e e x ce p t b y mean s of a p r os pectu s me e tin g th e r equi r eme n t s of Secti on 1 0 of th e Securitie s A c t of 1933 , as amended , or a n e x em p t ion the r e f r o m. I N V E ST M E NT I N ANY S E CU R I T I E S D E S C R I B E D H E R EI N HAS N O T B EE N A PPR O VE D O R D IS A PPR O VE D B Y THE S E C O R ANY O T HER R E GUL A T O R Y A U THORITY NOR HAS ANY A U THOR IT Y P A SSE D UPO N O R E N DO R S E D TH E ME R I T S O F THE O FF E R I NG O R THE ACCU R AC Y O R AD E Q U AC Y O F THE I N FO RM A TIO N C O N T A I N E D H E R EI N. ANY R EP R E S E N TA T IO N T O TH E C O N T RA R Y I S A C R IMI NAL O FF E NS E. N o R e p r ese n t a t i o n o r W a r r a n t i es A l l i n f o r m a ti o n i s p r o v i d e d “ A S I S ” a n d n o r e p r e s e n t a ti o n s o r w a r r a n ti e s , o f an y k i n d , ex p r e s s o r i m p li e d a r e g i v e n i n , o r i n r e s p e c t o f , t h i s P r e s e n t a ti o n . T o t h e f u ll e s t ex t e n t p e r m i t t e d b y l a w i n n o c i r c u m s t a n c e s w il l S h a r o n , R O T H C H o r a n y o f t h e i r r e s p e c ti v e s u b s i d i a ri e s , s t o ck h o l d e r s , a f fili a t e s , r e p r e s e n t a ti v e s , p a rt n e r s , d i r e c t o r s , o f fi c e r s , e m p l o y e es , a d v i s e r s o r a g e n t s b e r e s p o n s i b l e o r li a b l e f o r an y d i r e c t , i n d i r e c t o r c o n s e q u e n ti a l l o s s o r l o s s o f p r o fi t a ri s i n g f r o m t h e u s e o f t h i s P r e s e n t a ti o n , its c o n t e n t s , it s o m i ss i o n s , r e li a n c e o n t h e i n f o r m a ti o n c o n t a i n e d w it h i n it , o r o n o p i n i o n s c o m m un i c a t e d i n r e l a ti o n t h e r e t o o r o t h e r w i s e a ri s i n g i n c o nn e c ti o n t h e r ew it h . I n d u s t r y a n d m a r k e t d a t a u s e d i n t h is P r e s e n t a ti o n h av e b ee n o b t a i n e d f r o m t h i r d - p a rt y i n d u s t r y p u b li c a ti o n s a n d s o u r c e s a s w e l l a s f r o m r e s ea r c h r e p o rt s p r e p a r e d f o r o t h e r p u r p o s e s . N e it h e r S h a r o n n o r R O T H C H h a s i n d e p e n d e n tly v e rifi e d t h e d a t a o b t a i n e d f r o m t h es e s o u r c e s a n d ca nn o t ass u r e y o u o f t h e d a t a ’ s a cc u r a c y o r c o m p l e t e n e ss . T h i s d a t a i s s u b j e c t t o c h a n g e . I n a dd iti o n , t h i s P r e s e n t a ti o n do e s n o t p u r p o r t t o b e a ll - i n c l u s i v e o r t o c o n t a i n a l l o f t h e i n f o r m a ti o n t h a t m a y b e r e q u i r e d t o m a k e a f u l l a n a l ys i s o f S h a r o n o r t h e P r o p o s e d B u s i n es s C o m b i n a ti o n . V i e w e r s o f t h i s P r ese n t a ti o n s h o u l d ea c h m a k e t h e i r o w n e v a l u a ti o n o f t h e c o m p an y a n d o f t h e r e l e v a n c e a n d a d e q u ac y o f t h e i n f o r m a ti o n a n d s h o u l d m a k e s u c h o t h e r i n v e s ti g a ti o n s a s t h e y d ee m n e c e ss a r y. I n d u s t r y a n d M a r ke t D a t a I n t h i s P r e s e n t a ti o n , w e r e l y o n a n d r e f e r t o i n f o r m a ti o n a n d s t a ti s ti c s r e g a r d i n g m a r k e t p a rti c i p a n t s in t h e s e c t o r s i n w h i c h S h a r o n c o m p e t e s a n d o t h e r i n d u s t r y d a t a . W e o b t a i n e d t h i s i n f o r m a ti o n a n d s t a ti s ti c s f r o m t h i r d - p a rt y s o u r c e s , i n c l u d i n g r e p o rt s b y m a r k e t r e s ea r c h fir m s a n d c o m p an y fili n g s . T r a d e m a r k s T h i s P r ese n t a ti o n m a y c o n t a i n t r a d e m a r ks , se r v i c e m a r ks , t r a d e n a m e s a n d c o p y ri g h t s o f o t h e r c o m p a n i es , w h i c h a r e t h e p r o p e r t y o f t h e i r r es p e c ti v e o w n e r s . S o l e l y f o r c o n v e n i e n c e , s o m e o f t h e t r a d e m a r ks , se r v i c e m a r ks , t r a d e n a m e s a n d c o p y ri g h t s r e f e r r e d t o i n t h i s P r ese n t a ti o n m a y b e li s t e d w it h o u t t h e T M , S M © o r ® s y m b o l s , b u t S h a r o n w il l a ss e rt , t o t h e f u ll e s t ex t e n t un d e r a pp li ca b l e l a w , t h e ri g h t s o f t h e a pp li ca b l e o w n e r s , i f an y, t o t h es e t r a d e m a r ks , se r v i c e m a r ks , t r a d e n a m e s a n d P A R T 1/3

Use of P r ojections Th is P r e s e nta t ion c o nt a i n s p r o jec t e d fi nanc i a l i n f or mat ion wi t h r e s pec t t o S ha r on an d R O T H CH . S uc h p r o jec t e d fi nanc ial i n f or m a t ion c o ns tit u t e s f o r w a r d - looki n g i n f or m a t ion a n d is f or ill ust r a ti v e pu r p oses o n ly a n d s h o u ld n ot b e r e li e d up on a s nece ss a rily be i n g i nd i ca t i v e of f utu r e r e s u l t s. Th e a ss um p t io n s an d estima t e s unde rl y i n g s uc h fi nanc i al f o r e c as t i n f or mat ion a r e i nhe r e n t ly unce r t a in an d a r e s ubjec t t o a wi d e v a ri e t y of si gn ifi c a n t bu si ne ss, e c o n o m i c , c o mp e t i t i v e an d o the r ris k s an d unce r t a i n t i e s. S e e “ F o r wa r d - L oo k i n g S t a t eme n t s” be lo w . A ctua l r e s u l t s m a y d i f f er ma t e ri a lly f r om th e r e s u l t s c o nt empla t e d b y th e fi nanc i a l f o r e c as t i n f or mat ion c o nt a i ne d in th is P r e s e nta t io n , an d the i nc l u sion of s uc h i n f or mat ion in th is P r e s e nta t ion s h o u ld n ot b e r e g a r de d a s a r ep r e s e nta t ion b y a n y pe r son tha t the r esult s r e flec t e d i n suc h f o r e c ast s wil l b e achi e ved. 3 Impor t a n t I n f orm a tion About the P r oposed Business Combin a tion and Whe r e t o Find It I n c o nnect ion wi t h th e P r o p os e d B u si ne ss C o mb i nat io n , R o t h C H H ol d i ng s, Inc ., a De l a wa r e c or p o r at ion an d a w h olly - ow n ed s u b si d ia r y of R O TH CH ( “Hol d i n gs”) ha s filed with t h e S E C a p r eli m i n a r y r e gi s t r a tion s tat e m e n t on F orm S - 4 on M a y 14 , 2025 , w hic h include s a d e finitiv e p ro xy s tat eme n t of R O T H C H a n d a p r os pectu s of H o lding s f or the r e gi s t r a tion of Hol d i n gs se cu r itie s (a s a m e nde d f r om ti m e t o ti me , t h e “ R egi s t r a t ion S tat e m e n t ” ) . A f ul l de s c ri p t ion of t h e t e r m s of t h e P r o p osed B u si ne ss Co mb i n a t ion i s p r o vi d ed i n th e R egist r a tio n S tat eme n t . R O T H C H u r g e s i n ves t o r s, s t o ckh ol de r s an d o the r i nt e r es t e d pe r so n s t o r ea d th e R eg i st r a t ion S t a t eme n t an d th e d e fi n i t i v e p ro xy s tat e m e n t/ p r os p e c t us , as wel l as othe r d o cum e n ts fil ed wit h th e S E C be c au se th ese d o cum e n t s will c o nt ain i mp or t a n t i n f or m a t ion a b o u t S h a r o n , R O TH CH, Hol d i n gs a n d t h e P r o p osed B u si ne ss Co mb i n a t io n . Af t e r t h e R egist r a tio n S tat eme n t ha s bee n decla r e d e f f ecti v e b y t h e S EC , th e d e fi n i t i v e p ro xy s t a t eme n t/p r os pectu s an d o ther r e l e v a n t d o cum e n ts will b e ma iled t o s t o c k h ol de r s of R O TH CH as of a r e c o r d d at e e s t ab lis he d f or v oti n g on t h e P r o p osed B u si ne ss Co mb i n a t io n . S t o c k h ol de r s a n d ot he r i nt e r es t ed pe r so n s will also b e a b le t o o bt a in a c o p y of t h e p ro xy s tat eme n t , wi th o u t cha r g e , b y di r ectin g a r eques t t o: R o t h C H A cqui si ti on C o., 88 8 S a n Cleme nt e D r ive , S ui t e 400 , N e w p ort B each , C A 92660 . Th e d e finitiv e p ro xy s tat eme n t/p r o spectus , c a n als o b e o bt ained , wi th o u t cha r g e , a t th e S E C 's we b si t e ( ww w .s ec . g o v ) . Th e i n f or mat ion c o nt a i ne d o n , or tha t m a y b e acce ss e d th r o ugh , th e we b si t es r e f e r ence d in th is P r e s e nta t ion is n ot i n c or p o r a t e d b y r e f e r enc e i nt o , an d is n ot a pa rt o f , th is P r e s e nta t io n . P articip ant s in the Solici ta tion S ha r o n , R O T H C H an d the ir r e s pect i v e d i r ec t o r s an d e x ecutiv e o f fi ce r s m a y b e deeme d t o b e pa r t i c i pa n t s in the pa rti c i p a n ts in t h e soli c i ta t ion of p ro xies f r om s t o c k h ol de r s in c o nnect ion with t h e P r o p osed B u si ne ss Co mb i n a t ion C o mb i nat ion de s c ri be d he r e in unde r th e r u l e s of th e S E C . I n f or mat ion ab o u t s uc h pe r so n s an d a de s c ri p t ion of the ir de s c ri p t ion of the ir i nt e r est s a r e i nc l ude d in th e R eg i st r a t ion S t a t eme n t fil e d wi t h th e S E C . The se d o cume n t s c a n be d o cume n t s c a n b e o bt a i ne d f r e e of cha r g e f r om th e so u r ce s i nd i cat e d above. Cautionar y S tatem e nt s R e g a r d i ng F o r w a r d Looking S tat e ment s Th is P r e s e nta t ion c o nt a i n s f o r wa r d - loo k i n g s t a t eme n t s i nc l ud i n g , bu t n ot li m i t e d t o , S ha r o n ’ s an d R O T H CH ’ s R O T H CH ’ s e x pec t at io n s or p r ed i ct io n s of f utu r e fi nanc i a l or bu si ne ss pe r f or manc e or c o nd i t io n s. F o r wa r d - loo k i n g F o r wa r d - loo k i n g s t a t eme n t s a r e i nhe r e n t ly s ubjec t t o ris k s, unce r t a i n t i e s an d a ss um p t io n s. G ene r a ll y , s t a t eme n t s that s t a t eme n t s tha t a r e n ot h i s t ori c a l f act s, i nc l ud i n g s t a t eme n t s c o nce r n i n g p ossi b le or a ss ume d f utu r e act io n s, bu si ne ss a c tio n s, bu si n ess st r at e gies, e v e n ts or r e s ult s of o p e r a tion s, a r e f o r w a r d - lookin g s ta teme n ts . Thes e s tat eme n t s m a y s t a t eme n t s m a y b e p r ecede d b y , f ollo we d b y or i nc l ud e th e w o r d s “ b eli e ve s , ” “ est i m at es , ” “ e x pect s , ” “ p r o ject s , ” “ e x p e c ts , ” “ p r oje ct s , ” “ f o r e c a s ts , ” “ m a y, ” “will , ” “ s h o u l d , ” “ see k s , ” “ p la n s , ” “ s chedu le d , ” “ a n t i c i p at es , ” “i nt e nd s , ” or “ s cheduled , ” “ a n t i c i pa t e s , ” “ i nt end s , ” or si m il a r e x p r e ssio n s. S uc h f o r wa r d - loo k i n g s t a t eme n t s i n v ol v e ris k s and i n v ol v e ris k s an d unce r t a i n t i e s tha t m a y c au se actua l e ve n t s, r e s u l t s or pe r f or manc e t o d i f f e r ma t e ri a lly f r om th ose f r om th ose i nd i cat e d b y s uc h s t a t eme n t s. Ce r t a in of the se ris k s a r e i de n t ifi e d an d d is cu ss e d in th e R eg i st r a t ion R egi s t r a tio n S tat eme n t unde r th e headin g “ R is k F ac t o r s . ” Thes e risk f ac t o r s will b e impor t a n t t o c o nside r in c o n si d er in d et e r m i n i n g f u t u r e r e s ult s a n d s h o u ld b e r e vi e we d in t h eir e n ti r e t y . T h ese f o r w a r d - looki n g s tat e m e n ts a r e s t a t eme n t s a r e e x p r e ss e d in g ood f a i th , an d R O T H C H an d S ha r on be li e v e the r e is a r ea so nab le ba sis f or them. f or them . How e ve r , the r e c a n b e n o assu r anc e th a t th e e ve n ts , r esult s o r t r ends ide n tif ied i n thes e f o r wa r d - looking f o r wa r d - lookin g s tat eme n t s will occu r o r b e achi e ved . F o r wa r d - lookin g s tat eme n t s spea k onl y a s o f th e d at e th e y a r e th e da t e th e y a r e made , an d ne i the r R O T H C H n or S ha r on is unde r a n y o b li g at io n , an d e x p r e ssly d is c l a im a n y d is c l a im a n y o b li g at io n , t o upda t e , a l t e r or o the r wise r e vise a n y f o r wa r d - loo k i n g s t a t eme n t , w h e the r a s a r e s u lt of a r e s u lt of n e w i n f or mat io n , f utu r e e ve n t s or o the r wis e , e x ce p t a s r equ i r e d b y l a w . P A R T 2/3

P A R T 3/3 4 I n add i t ion t o f ac t o r s p r e vio u sly d is c los e d in R O T H CH ’ s r ep or t s fil e d wi t h th e S E C an d th ose i de n t ifi e d e ls e w he r e in th is P r e s e nta t io n , th e f ollo w i n g f ac t o r s, am o n g o the r s, c o u ld c au se actua l r e s u l t s t o d i f f e r ma t e ri a lly f r om f o r wa r d - loo k i n g s t a t eme n t s or h i s t ori c a l pe r f or mance : ( i) e x pec t at io n s r e g a r d i n g S ha r o n ’ s st r at eg i e s an d f utu r e fi nanc i al pe r f or mance , i nc l ud i n g i t s f utu r e bu si ne ss p l an s or o bj e ct i ve s, p r os pect i v e pe r f or manc e an d o pp or tun i t i e s and c o mp e t i t o r s, r e venue s, p r o duct s an d s e r vi ce s, p ri c i n g , o pe r at i n g e x pen s e s, ma r k e t t r end s, li qu i d i t y , c a sh flo w s and use s o f c ash , c api t a l e x penditu r es , an d Sha r on ’ s abilit y t o i n ves t i n g r owt h initi a ti v e s an d pu r su e acquisition o pp or tun i t i e s; ( ii) th e o ccu r r enc e of a n y e ve n t , chan g e or o the r c i r cums t ance s tha t c o u ld g i v e rise t o th e t e r m i nat ion o f t h e Me r g er Ag r ee m e n t; (iii ) t h e o u tc o m e o f a n y le g a l p r o c ee din gs t h a t m a y b e institu t ed a g ai ns t Sh a r on o r R O TH C H f ollo w i n g ann o unceme n t of th e P r o p os e d B u si ne ss C o mb i nat ion an d th e t r an s act io n s c o nt empla t e d the r e b y ; ( iv) t h e i n a bilit y t o c o mp l et e t h e P r o p osed B u si ne ss Co mb i n a t ion du e t o , a m o n g ot he r t h i n gs, t h e f a il u r e t o o bt a in R O TH C H s t o ckh ol de r app r o v a l on th e e x pec t e d t e r m s an d s chedule , a s we ll a s th e risk tha t r egu l at o r y app r o v a ls r equ i r e d f or t h e P r o p osed B u si ne ss C o mb i n a t ion a r e no t o bt aine d o r a r e o bt aine d s ubjec t t o c o nd i t io n s tha t a r e n ot a n t i c i pa t ed ; ( v) th e f a il u r e t o c o mp l et e th e p l anne d PIP E fi nanc i ng ; ( vi) th e risk tha t th e ann o unceme n t and c o n s umm a tion of t h e P r o p osed B u si ne ss Co mb i n a t ion d isr u p ts S h a r o n ’ s cu r r e n t o p e r a t io n s a n d f u t u r e p la n s; ( vii) t h e a bilit y t o r e c og n i z e t h e a n ti c i p at e d ben e fits of t h e P r o p osed B u si ne ss Co mb i n a t io n ; ( viii) un e x p e c t e d c o st s r e l at e d t o t h e P r o p osed B u si ne ss Co mb i n a t io n ; ( ix) li m i t ed li qu i d ity a n d t r a d i n g of R O TH CH ’ s se cu r ities ; ( x) g e o p oliti c al risk a n d chan g es in a pp li c a bl e l a w s or r e g u l a tio n s; ( xiv) t h e p ossi bilit y t h a t R O TH CH a nd / or S h a r on m a y b e a dve r sely a f f ec t ed b y o the r e c o n o m i c , bu si ne ss, and / or c o mp e t i t i v e f ac t o r s; ( xi) o pe r at io na l ris k ; ( xii) risk tha t th e CO VID - 1 9 pandem i c, an d lo c a l, s t a t e , an d f ede r a l r e s p o n s e s t o add r e ssi n g th e pandem ic m a y h a v e a n adve r se e f f ec t on o u r bu si ne ss o p e r a t io n s, as wel l as o u r fi nanc ial c o nd ition a n d r e s ult s of o p e r a t io n s; ( xiii) t h e ris k s t h a t t h e c o n s umm a tion of t h e P r opose d Busines s Combin a tio n i s su b s t a n tiall y del a y e d o r doe s no t occur ; (xiv ) th e ris k t h a t Sha r o n wil l b e unabl e t o c o mpl et e t h e Supe r clus t er; a n d ( xv) t h e risk t h a t Sh a r o n will b e unab le t o c o mpl et e t h e T ex a s Criti c al D at a Ce nt er d e ve lo pme n t p r o ject. A n y fi nanc i a l p r o ject io n s in th is P r e s e nta t ion a r e f o r wa r d - lookin g s tat eme n t s th a t a r e b ased on ass um p tio n s t h a t a r e i nhe r e n t ly s ubjec t t o si gn ifi c a n t unce r t a i n t i e s an d c o n t i n g enc i e s, ma n y of w h i c h a r e b e y o n d S ha r o n ’ s an d R O T H CH ’ s c o n t r o l . W hil e all p r oje c tio n s a r e nece ssarily s p e cu l a t i v e, S h a r on a n d R O TH CH be li e v e t h a t t h e p r e p a r a t ion of p r os pect i v e fi nanc i a l i n f or mat ion i n v ol ve s i nc r ea si ng ly h i ghe r l e ve ls of unce r t a i n t y th e f u r the r o u t th e p r o ject ion e x t end s f r om th e da t e of p r epa r at io n . Th e a ss um p t io n s an d estima t e s unde rl y i n g th e p r o jec t e d r e s u l t s a r e i nhe r e n t ly unce r t a in an d a r e s ubjec t t o a wi d e v a ri e t y of si gn ifi c a n t bu si ne ss, e c o n o m ic an d c o mp e t i t i v e ris k s an d unce r t a i n t i e s tha t c o u ld c au se actua l r e s u l t s t o d i f f e r ma t e ri a lly f r om th ose c o nt a i ne d in the p r o ject io n s. Th e i nc l u sion of p r o ject io n s in th is P r e s e nta t ion s h o u ld n ot b e r e g a r de d a s a n i nd i ca t ion tha t S ha r on and R O T H CH , o r thei r r ep r ese nta ti v es , c o nsi d e r e d o r c o nside r th e p r ojection s t o b e a r eliabl e p r edictio n o f futu r e e ve n ts. Annuali z ed , p r o f o rma , p r ojec t e d an d estim at e d numbe r s a r e use d f or illust r a ti v e purpos e onl y , a r e no t f o r e c ast s and m a y n ot r e fl ec t actua l r e s u l t s. Th e f o r e g oi n g li s t of f ac t o r s is n ot i nt ende d t o b e a ll - i nc l u si v e or t o c o nt a in a ll the i n f or m a t ion t h a t a pe r son m a y de si r e in c o n si d eri n g an i n vestme n t in R O T H C H an d is n ot i nt ende d t o f orm th e ba sis of a n i n vestme n t dec ision in R O T H CH . R eade r s s h o u ld c a r e f u lly r e vi e w th e f o r e g oi n g f ac t o r s an d o the r ris k s and uncer t ai n tie s describe d i n th e “ R is k F ac t o r s ” sectio n o f th e r e ports , whic h R O T H C H ha s fil e d o r will fil e f r o m time t o tim e wit h th e S E C . The r e m a y b e additiona l ris k s th a t nei t he r S ha r on n or R O T H C H p r e s e n t ly kn o w , or tha t S ha r on and R O T H C H cu r r e n t ly be li e v e a r e i mma t e ri a l, tha t c o u ld c au se actua l r e s u l t s t o d i f f e r f r om th ose c o nt a i ne d in f o r wa r d loo k i n g s t a t eme n t s. F or the se r ea so n s, am o n g o the r s, i n ves t o r s an d o the r i nt e r es t e d pe r so n s a r e c aut io ne d n ot t o p l ace undu e r e li anc e up on a n y f o r wa r d - loo k i n g s t a t eme n t s in th is P r e s e nta t io n . All s u b s eque n t wri t t e n an d o r a l f o r wa r d - loo k i n g s t a t eme n t s c o nce r n i n g S ha r on an d R O T H CH , th e P r o p os e d B u si ne ss C o mb i nat ion or o the r ma t t e r s and a t t ri bu t ab le t o S ha r on an d R O T H C H or a n y pe r son act i n g on the ir beha lf a r e e x p r e ssly qua lifi e d in the ir e n t i r e t y b y the c autiona r y s tat eme n t s abo v e.

05 Exponentia l AI/HP C Growth Fuels SHARO N AI SHARO N A I Studio Specialized AI/HPC tooling, including one - click deplo y ments with a focus on customer requirement s. AI/HPC workloads are in high demand, GPU and energy infrast r u ct ure may not be su f ficient to meet future demand - S HARON AI pro vides so vereign, scalable, energ y - e f f icient infrastruc t ure SHARO N A I Cloud Enterprise grade AI Cloud, first mo ver ad v antage in Australia. SHARO N A I Supercluster NVIDIA Certified Cloud Partne r , multiple operating GPU Clusters, building on NVIDIA Reference Architec t ure. 1 G W Dat a Center Developmen t Projec t i n T exas H ybrid model with AI Data Center De v elopment in T e x as + Enterprise grade co - loca t ion AI Cloud in Australia.

Thi s deman d surg e i s fuele d b y many factor s including: 06 - The rise of AI Cloud and GPU accelerated computing applications. - The increasing demand for automation and robotics. - The integration of AI into enterprise, government and enterprise workflows. - B reakthroughs in AI models and demand for training and inference. 250 200 150 100 50 0 2023 2030 Other w o r k load Generat ive A l w o r k load +22% CAGR +39% CAGR +16% CAGR Estimated global data center capacity demand, gigawatts 100 80 60 40 20 0 2023 2030 +33% CAGR Demand for ad v anced - AI capacity % of total data center capacity demand Midrang e scenari o i s base d o n anal y s i s o f A l adoptio n trends ; gro wt h i n shipment s o f differen t t y pe s o f chip s (application - spe c ifi c integrated circuits , graphic s processin g units , etc ) an d associate d po w e r consumption ; an d th e t y pica l compute , storage , an d net w or k need s o f Al w o r kloads . De m an d i s m easu r e d b y po w e r consu m ptio n t o r eflec t th e nu m be r o f se rv e r s a facilit y ca n house . M cKinse y Dat a Center Deman d model “A I po w er : Expandin g dat a cente r capacit y t o mee t growin g demand ” McKins e y & Compan y Oc t 2024. Acceleratin g Deman d for AI/HPC & Energ y Infrastructure

Accelerating Demand for AI/HPC & Energy Infrastructure 5B/default.a sp x 07 OpenAI Announce s $500 B Stargat e Project to Fuel A I Inno v ation http s://openai. c om / i n d e x/ an n o u n c i n g - t h e - s t argate - proje c t/ O penAI an d NV I DIA Announc e St ra t egi c Partnership to Deplo y 1 0 G iga watts of NV I DIA S y ste m s https://n v i di a n e ws.n v i d ia. c o m /ne ws/open ai - and - n v i d i a - ann o u n ce - s t ra t egic - p ar tne r shi p - t o - deplo y - 10gw - of - nvidia - s y s t e m s Facebook - parent Meta to In v est $1 0 Billion i n Louisiana Dat a Center http s ://w w w . r eu t er s . co m /te c h n o l og y /m eta - inve s t - 10 - billi o n - l o ui si a n a - d a ta - c e n t er - 2 0 2 4 - 12 - 04/ Elon Musk's x A I targets one million GPUs for Colossus supercomputer in Memphis http s ://w w w . da t a c en t er d yn a mi c s . com / e n /n ew s/ x ai - elon - mu sk - m e m p h i s - c olo ss u s - g p u/ Lambda Raises $480M to E x pand AI Cloud Platform an d Infrastructure http s ://w w w . bu s i n e s sw i r e. c o m / n e ws / ho m e / 20 25021904288 7 / en/ L a m b d a - R a i ses - 4 80 M - to - E x pand - AI - Clo u d - Pla t f orm Nebiu s signs $17. 4 bill i on AI infrastructure deal w ith M icrosoft, shares ju m p http s ://w w w . r eu t er s . co m / b usine s s /f in a n c e / ma cquarie - inve s t - up - 5 - bln - a ppl i e d - d igital - d a ta - center s - wsj - report s - 2025 - 01 - 1 4 / Or acle, O penAI Sign $300 Billion Cloud Deal http s ://w w w . wsj . c om / bu si ne s s / o p e n ai - ora cl e - sign - 300 - billion - c o m pu t in g - d eal - a mo n g - bigge s t - in - hi s to r y - f f 27 c 8 fe CoreWea v e E x pand s Agreement w ith OpenAI by up to $6.5B https://investors.core w e ave.co m / n e ws / n e ws - detail s /2025/CoreWeave - E x p a n ds - Agreement - w it h - Op e n AI - b y - up - to - 6 -

SHARO N A I - AI/HPC Strategi c Partners SHARO N A I ha s partnere d with Leno v o, u t ilizing t heir T r uscale Program an d sale s g o to market. NVIDI A Certifie d Clou d Partne r , multiple operating GPU Clusters, building on NVIDIA Reference Architecture. SHARO N A I ha s partnere d with NEXTDC t o build Aus tr alia's So v ereign Hig h Performance AI Infrastructure. NEXTDC ha s 17 Dat a Centers , 244MW of con t rac t ed u t iliza t ion and a 3 G W De v elopment Pipeline. SHARON AI ha s signed a MOU for Strategi c Partnershi p for Managed Enterprise Clou d AI Solutions to accelerate and e x pand SHARON AI ’ s g o to marke t opportunities. SHARON AI ha s partnere d wit h V AST Dat a an d ha s integrate d wit h V AST ’ s A I Operating S y stem , whic h unifies storage , database , an d runtime, bringin g together al l the ser v ices neede d to run a i pipeline s a t scale. SHARO N A I ha s partnere d with Megapor t to enabl e ad v anced connecti v ity to Cloud , Enterprise and Research Customers Globally i n o v e r 100 0 dat a centers acros s 26 countries to pri v atel y connect to the SHARON AI Cloud. 08 I n f o rm a t io n cu rr en t a s a t Oct ob e r 2025

Buil di ng Austral i a ' s So v e re ig n High Performance AI Infrastructure 09 Active colla b o rat io n on e x pand e d capac i ty to further grow Australi a' s AI footprint NE X TDC has 17 Data Centers, 244MW of contracted utilizat i on and a 3GW De v el opment Pipe li ne David Dzienciol Chief Commercial O f fice r , NE X TDC Limited SHARO N A I + NEXTD C - Buildin g Australia' s Sovereign A I Infrastructure SHARON AI Supercluster Li v e at NE X TDC T ier IV M3 Data Center "As AI - driven inno v at i on accel e rat e s, NEXTDC is excited to be supporti n g the ongo i ng devel o pme nt of SHARON AI's product range as one of Austral i a ' s most advan ce d GPU - as - a - Serv i c e (GPUa aS) platforms that empow e rs organi sation s w i th scal a b le, high - p e rforma n ce computin g ."

SHARO N A I + Cisc o - S trategic Partnership fo r Manage d Enterpris e Clou d A I Solutions Cisco Secure AI Factory with NVIDIA Acceler a ted g o - to - mark et sales opportun i tie s SHARON AI branded AI - ready Cloud ser v i c e s that le v e ra g e Cisco pro du cts and techno l o gi es Desig n, market and del i ver archite c ted e n ter pris e - r e a d y Cloud and AI soluti on s Harsha He wapathirane Managing Directo r , Enterprise Commercial & Service Provider Sales at Cisco Australia "Cisco is thrill e d to partner w ith Sharon AI, combin i ng our AI infrastruct u re w ith their GPU - as - a - Serv ic e to pow er Austral i a ' s Neo cloud busi n e s s a n d accel e rate AI inno v at io n. " 10

The SHARO N A I Supercluster 11 SHARON AI has built multiple GPU clusters and has deployed network architecture for a new NVIDIA Reference Architecture 1K cluster in NE X TDC ’ s T ier IV Data Center in Melbourne, Australia, supporting NVIDIA H200 and B200 GPU ’ s “ T ogethe r , Sharon AI and the V AST InsightEngi n e orchestrate event triggers and function, connected to data pipelines that scale complex multistep retrieval and reasoning workflows within a sovereign environment,” - O fir Zan, AI Solutions & Enterprise Lead, V AST Data New cluster integrates NVIDIA GPU ’ s and V AST Data ’ s Insight Engine: SHARON AI collaborates with The University of New South W ales on the cluster for advanced reasoning focused AI - research including both small and large LLM ’ s, weather forecasting prediction models and other science. Sudarshan Ramachandran Country Manager Enterprise, ANZ at NVIDI A 1 “AI and accelerated computing provide the backbone for industries across Australia to advance and scale their work with unprecedented efficienc y . W ith NVIDIA H200 GPUs and NVIDIA Quantum - 2 Infiniband. SHARON AI is building a world - class GPUaaS platform that can drive innovation and empower Australian businesses and researchers to tackle the most complex AI challeng es.” Sharo n A I Launche s So v ere i g n G P U S uper C luster to Po w e r S ecure A I for A ustra li a n Enterpr i ses , G o v ernmen t & Research http s ://w w w . lo r e m ip s u m dolor s i t amet, con s e c tetur ( 1 ) : “ Sha r o n A I t o Fo r g e Au s t r alia' s A I Futur e w it h Gr oundb r ea k in g G PUaa S Super c o m puter Featurin g NVIDI A A cc ele r ate d Co m putin g an d Soft w a r e ” Bu s ine ss w i r e , M a rc h 11 , 2025.

Illustrative Uni t Economics for 101 6 x B20 0 GPU (1K ) cluster Assumptions include: 1016 x Nvidia B200 GPUs generating $3.40/hr/GPU with 90% utilization Capex fully funded, payback 2.3yrs, expected useful life of 6+ years Gross Profit = Revenue minus Direct Costs (Powe r , Data Cente r , Connectivity) 12 Al l assu m p t ion s an d p r ojec t ion s a re illus tr a t iv e onl y an d ac t ua l r esul ts w il l va r y . T he re ca n b e n o assu r ance s t ha t al l t h e as s ume d cape x can b e r aised , G PU s ca n b e deplo y e d unde r e x is t in g coloca t io n con tr ac t s , assu m e d u t iliza t io n m e tr ic s w il l b e m e t o r t ha t assu m e d GPU hourly r a t e s w il l b e achieved . Ma rk e t in f o rm a t io n a s o f Oct obe r 2025. Capex Annual Operation $48,688,000 GPU/Ser v er/Network $27,234,489 Re v enue $300,000 Colo Se t up ($5,582,996) C OGS $48,988,000 T o t al $21,651,493 GP 80% GP%

$ 4,730,400 $ 5,518,800 $ 6,307,200 500 $ 7,884,000 $ 9,855,000 $ 1 1,826,000 $ 13,797,000 $ 15,768,000 750 $ 1 1,826,000 $ 14,782,500 $ 17,739,000 $ 20,695,500 $ 23,652,000 1000 $ 15,768,000 $ 19,710,000 $ 23,652,000 $ 27,594,000 $ 31,536,000 2000 $ 31,536,000 $ 39,420,000 $ 47,304,000 $ 55,188,000 $ 63,072,000 3,000 $ 47,304,000 $ 59,130,000 $ 70,956,000 $ 82,782,000 $ 94,608,000 Al l a ss u m ption s an d p r o j e c tion s a re illu s t r ativ e onl y an d a c tua l r e s ult s w il l va r y . T he re c a n b e n o a ss u r an c e s tha t al l th e a ss u m e d c ape x c a n b e r ai s ed , G PU s c a n b e deplo y e d under e x i s tin g c olo c atio n c ont r a c ts , a ss u m e d utili z atio n m et r i cs w il l b e m e t o r tha t a ss u m e d G P U hou r l y r ate s w il l b e a c hieved . Ma r k et in f o r m atio n a s o f Oc tobe r 2025. TB1 TB2 Illustrativ e GP U Annual Revenu e Analysis Illustrative GPU Annual Revenue equals stated number of GPUs times stated GPU Rate per Hour times 8,760 hours times 90% assumed utilizati on. GPU Rate per Hour $ 2.50 $ 3.00 $ 2.00 $ 3.50 $ 4.00 200 $ 3,153,600 $ 3,942,000 13

The SHARON AI Board and management team have significant e x perience in US energy and infrastructure markets having built over 100 Modular Data Centers across 200MW of energy in T e x as, Georgia & Penns y lvania in their prior roles. SHARON AI and New Era Energy and Digital Inc (NASDAQ:NUA I ) 50/50 Joint V enture - T e x as Critical Data Centers LLC (TCDC) - Up T o 1 GW Data Center Campus Development in the Permian Basin Proposed Data Center Campus 1 G W A I Dat a Cente r Campu s Developmen t i n T exas Permia n Basin Significant Progres s Achieve d T o Date Large Scale Data Center Campus Development – 235 acres secured. Strategic Location: Ector Count y , T e x as (Permian Basin). • F iber optic cable for high - speed connectivit y . • Natural gas transmission lines for behind the meter energy suppl y . • Pro x imity to cities of Odessa & Midland, over 350,000 inhabitants. • Ad j acent to I - 20, facilitating road transportation of equipment and personnel during construction. • Close to several new large data center developments in W est T e x as. • Phase 1 engineering complete including environmental and feasibility assessments and initial site improvements, large load grid interconnection application to be submitted to ERCO T . - • Phase 2 engineering has now begun, focusing on detailed site planning, site clearing, and infrastructure Integration for the data center campus. • Acquired 235 acres + e x clusive non - binding LOI on an additional contiguous 203 acres for a total of 438 acres, ideally suited for large - scale Data Center Campus. • Non - binding letter agreement w ith Thunderh e ad Energy Solutions LLC for the financing, construction and operation of up to 1 GW behind the meter gas - fired power generation. TB1 14

SHARO N A I – Accelerate d Computin g Infrastructure Platform 15 Cloud infrastructure and expert AI/ML/HPC technicia ns, delivering customer objectives on SHARON AI Cloud. T enan t 1 - ABC En cr y ptio n Gr oup T enan t 2 - X Y Z T enan t 3 - X Y Z Addressable Customer Use Cases Banking Insuranc e Resource s Healthcare Higher Education Research Defence VFX Platform as a Ser v ice Inference LLM s F in e T uning NIMs Ser v ices AI Ops Networking Solutions Architects S y stem s Integra t ion Dat a Management GPU a s a Ser v ice Ba r e M e t al V i rt ualisa t ion Docker Kubernete s Clusters V i rtua l Desktop Linux W i ndows Apptainer Proprietary Orchestration Ser v er Agent Anal y t ics Load Balancing Core Infrastructure GPU Compute Low Latenc y Netw ork F il e S y stem Dat a Storage

Capability SHARON A I (Neocloud) AI - first, purpose - bui l t inf ra s t r ucture V ertical integr at ion w i th latest AI acceler a tors (H10 0, Blackwell) Optimized tensor cores, memory ban dw i dth, and ener g y e f ficiency Fi rs t - mov e r ad v antag e w it h cu tting - edg e A I inf ra s t r ucture H igh - speed , lo w - latenc y Infiniban d fo r A I work loads AI - optimi z e d s to rag e w it h reduce d laten cy Preferenti al access to hard war e, no markup c o sts Purpose - b u i l t AI frame w orks (CUD A, T enso r R T , cuDNN ) AI - focuse d SDKs , APIs , and speci al i s e d too l k i ts Faster depl o y ment of l atest AI capa b i l ities D ee p lea r ning, infe rence , recommendatio n s y s tems AI lifec y cle manag e m ent and spec ia lis e d co n s u l tin g Gener a l - p ur p o se c o m p utin g w i th AI add - o n s T r aditional H y perscalers A rchi t ec t u r e Focus Gener a l - p ur p o se CP Us + third - p a rty AI hard ware Ha rd wa re Opt i m i zat i on Standard p e rfo r m an ce acro ss d i v e rse workloa d s Per fo rman ce Slower adoption of speci ali sed AI hard w a r e Inno v a t io n Spe e d Standard vi rt u al networks, not AI - optimised Net working Gener a l - p ur p o se o bje ct and block storage Storage M arket pr i c i ng f or AI - spec ifi c c o m p o nents Cost E f fi ciency Adapted gener al - pu r po se tools Soft w ar e Stack Broad but less spec i a l i z e d de v e l op m ent tools Deve lo p e r Sup port Long e r le a d times for speci alis e d AI features Depl o y ment T i me Gener al cloud s er vice s w i th AI cap a b i liti e s W o rk loa d Specialization Gener al cloud c on s u l tin g w i th limite d AI depth Cons u l ting & Supp ort A I Nativ e Clou d (Neocloud ) v s General Purpos e (Hyperscaler ) Cloud TB1 16

W e are a highly experienced group of engineers and entrepreneurs. Our team members have held key roles at Equinix, Goldman Sachs, Digital Pacific, JP Morgan, Hostopia, Macquarie Bank and Australian Government, bringing deep expertise in Energy Infrastruc t ure, AI and Cloud Computing. 17 Ou r T eam W olf Schubert CEO Financial Markets and Risk Kiera n Habojan Head of Sales Enterprise Sales, Cloud Infrastructure Nathanial Marsh Data Center Operations Manager Cloud Infrastructure Andre w Leece Co - founder & COO Cloud Infrastructure Daniel Mons C T O Cloud Infrastructure Scott Donnelly AI Systems Administrator Cloud Infrastructure T i m Broadfoot CFO Finance and Operations Nic k Hughes - Jones Co - founder / BDM Financial Markets & Infrastructure Steven Grosvenor Senior Software Engineer Cloud Infrastructure

Jame s Manning Co - founder & Non - e x ecutive Chairman V ertua Property Inc James is the Chairman of Sharon AI. His career has spanned over 22 years across technolog y , finance, property development and funds management. James was the CEO and Founder of Mawson Infrastructure Group, where he built over 100 Modular Data Centers across 200MW of energy in the USA. James has completed a Master of Business (Finance) and a Masters in Property Development from the University of T echnology Sydney as well as a Bachelor of Accounting from ACU. He is a Fellow of the Institute of Company Directors ( F AICD), and a member of Institute of Public Accountants (I P A ). 18 W olf Schubert CEO E x - Goldman Sachs, JP Morgan, V i sta Equity Partners W o lf Schubert is the CEO of Sharon AI. His career has spanned over 25 y ears across technolog y , capital markets and risk management. Most recently he ran part of the institutional business at BlockF i. Before that he held senior roles at V i sta Equity Partners and Strategic V alue Partners, where he w a s Chief Risk O f fice r . W o lf began his career at Oliver Wy man before spending several y ears as an investment banker at Goldman Sachs, JP Morgan and Merrill L y nch. Born and raised in German y , he holds undergraduate degrees from the University of Michigan, Ann Arbo r , in Aerospace Engineering and Mechanical Engineering and a Master degree from Princeton University in Mechanical and Aerospace Engineering. Boar d o f Directors The SHARON AI Board of Directors has extensive experience across US energy infrastructure, technology & financial markets. P A R T 1 / 2

Pete r W oodward Post Business Combination Close Appointee 19 M r . W oodward is the founder of MHW Capital Management, LLC, a position he has held since September 2005. From 1996 to 2005, M r . W oodward was the Managing Director for Regan Fund Management, LLC. He served as the President and Chief E x ecutive O f ficer and Director of Cartesian, Inc. from June 2015 to July 2018, and currently serves as Chairman of the Board and Chairman of the Audit Committee for TSS, Inc., as Chairman of the Board and Chairman of the Audit Committee for Precision Optics Corporation, and as the CEO of Innovative Powe r , LLC. Prior to founding MHW Capital Management, M r . W oodward served as an economist for the Council of Economic Advisors at the White House. M r . W oodward holds a BA in economics from Colgate University and a Masters of International A f fairs w ith a concentration in international economics and finance from Columbia Universit y . He is also a Chartered Financial Anal y st. Alastair Cairns Non - e x ecutive director E x - Credit Suisse, Addepar Alastair Cairns' three - decade career spans technolog y , asset & wealth management, and consulting. Alastair is currently the Head of Asset Management, North America at Linedata, based in New Y ork. He spent five y ears at Addepa r , a provider of reporting and anal y t ics soft ware to wealth managers, where he was head of marketplace and president of Acervus Securities. He j oined Addepar from Credit Suisse, where he held e x ecutive positions for nearly a decade in strateg y , product, and M&A roles.. Before that he was head of business development at Silver Point Capital, a credit hedge fund. Alastair began his career at McKinsey & Compan y , where he rose to partner in the financial services practice. Born and raised in Canada, he holds degrees in Ph y sics and Economics from Queen ’ s University in Canada and an MA in Economics from the University of Chicago. Brent Lanier Non - e x ecutive director E x - V ista Equity Partners, Bain Capital, Cambridge Associates Bren t Lanie r i s a n experience d senio r technolog y and operation s executi v e . He i s a n exper t i n business transformation, technolog y strateg y an d merger s & acquisitions . Most recentl y , h e wa s the Global Chief Information O f ficer a t V i st a Equit y Partners , on e o f the larges t technolog y - f o c use d globa l pri v at e equit y firms, w ith $100B N i n funds unde r management an d o v er 600 + pri v at e equit y transactions . Prio r to V ista , he hel d position s a t Bosto n Consultin g Group, Bain Capita l an d Cambridg e Associates . Bren t bega n his caree r a t Anderse n Consultin g an d hold s an undergraduat e degre e i n Computer Scienc e from Georgia T ec h an d a n AL M i n T echnolog y Management from Har v ard. Boar d o f Directors The SHARON AI Board of Directors has extensive experience across US energy infrastructure, technology & financial markets. P A R T 2 / 2

Our Advisor y Board 20 The SHARON AI advisory Board is made up of academic, AI/HPC research and technology industry executives. Professor Michael E. Mueller Advisory Board Assoc ia te Chair and Professo r , Department of Mechan i c al a n d Aerosp a ce Engin e er in g. Directo r , Graduate Certific a te in Computati o n al Scien c e and Engin e erin g. Assoc ia ted Facult y , Princet o n Institute for Computati o n al Scien c e and Engi n e er i n g. Assoc i at e d Facu l t y , Andli n g er Center for Energy and the Env i ronme nt Princet o n Univ e rs i t y . Facu l ty Researc he r , High Performance A lg or i thms and Complex Flui d s Group, Computatio nal S ci e n ce Cente r , Natio n al Rene w ab l e Energy Laborat or y . Lu c Betbeder - Matibet Advisory Board Luc Betbeder - Mati b et is a nation all y recogn is ed subje ct matter e x pert in High - Performance Research Computin g, Resear c h Data practices and shared Resear c h Infrastructure ser v ic e s. He is Presid e nt of AeRo (Austral ia's eResear c h Organis a tio n), co - chair of the eRese arc h Austral a s ia n p e ak Annual Conferen c e and is a member of the Australian Research Data Commons ( A RDC ) Researc h & T e chnolog y Ad v isory Committee. He is an Adjun ct Seni or Lecturer in UNSW Faculty of Medic i ne Centre for Big Data and has been a V isitin g Scient is t with the Data61 V isu al Anal y tics T eam in Austral ia' s N ation al Scien c e Agency CSIRO. He has held director - l ev el roles for 15 y ears in high e r - ed ICT and eRes e ar c h. Luc is currently the E x ecutive Director Resear c h T ech n o lo gy Ser v ice s at UNS W , a shared ser v i c e s fun ct i on that he estab li s he d w hich is respon si b l e for pro v idi ng Research Computing and Research Data to 5000+ research e rs.

Market Advantage Expert Support End - to - En d Solution 21 data center Professional Services Solutions Architects T raining Programs Ongoing Platform Development Complete Service Stack including NVIDIA AI Enterprise software Integrated AI/HPC T ools Unified Management Comprehensive Support Consultin g Services T echnical Architecture Use Case Identificatio n Integration Support Go - to - Market Partnerships Project Implementation POC Development Pilot Programs Production Scaling Deployment SHARO N A I – Accelerate d Computin g Infrastructure Platfor m Capabilities NVIDIA Cloud Partne r , first mover advantage in Australia Platform Readiness Partnership Ecosystem Existing Supply Chain Relationships T rust & Security Locally Hosted Infrastructure Data Sovereignty Compliance Support Secure Environments NE X TDC T ier IV certified co - location

Illustrative T er m Custome r Contract Initial custome r prepa y ment PO subm i tte d fo r G PU + networ k infrastructure Pa y men t fo r GP U + network infrastructur e a t deli v ery Example T e rm Contract Lifecycle During contract GPU + net w o r k infra s t r ucture life 3 - 5 y rs Post contract GPU + net w ork infrastruc t ure life 2 y rs+ 2 - 4 wk installation Monthl y pa y ments Initial deposit GP U + network infrastructur e deli v ery Contract description is not e x haustive, and individual contracts may di f f er from the above. Contract signing A l/HPC Cloud Operational GPU + net w ork Infra s tru c tu r e purchase & installation Month 1 Month 3 M onth 3 - 4 M onth 5 - 30 Month 30 - 54 Re v enu e recognize d monthly New multi - y ear contract A nd/or On - demand consumption TB1 22

Please c o nt ac t us f or mo r e in f orm a t io n a t: 23 S H A R O N A I info@sha r onai.com ww w .sha r onai.com @sha r on ai S h a r o n A I I n c 74 5 F i f t h A v e nu e , S u i t e 500 N e w Y o r k , N Y 10151