SA329 & 387 (134.4 ov)
AUS429
BAN272 & 79/6 (29 ov)
WI245
COR0
MIR0
UAE
NED
PAK
SL
Chennaiyin
Kerala
Chelsea
Man Utd
Levante
Atlético
Al Taawoun
Al Ettifaq
Bologna
Monza
Mohun Bagan
Punjab FC
LILL1
RCL0
VIL0
ESP1
ELV4
M051
HAC1
PSG5
ND
AUCK
WELL
CANT
MOW0/0 (0.1/20 ov)
TOK
SOA154 & 182/1 (48 ov, target 422)
WA406/5d & 169
TAS335/5 (96 ov)
NSW
NZ-A
IND-A38/1 (14 ov)
NZ
IND
NAM
IRE
AS-W
MS-W
PS-W
MR-W
ST-W
BH-W
SS-W
HH-W
AFG221/7
ZIM202/5 (20 ov, target 222)
BRB186/9 (20 ov, target 200)
VAG199/6
ENG121/0 (6 ov, target 160)
VT2
SYR1
AAE0
GLP2
HUR0
TIG0
COL5
UdeC0
COQ0
ULC0
RPO0
CIP0
UVA0
PITT0
NJIT0
BRY2
ARMY1
L-MD0
LEH1
COLG0
UNH0
UML0
Leverkusen
Stuttgart
Gladbach
Paderborn
NICE5
REN2
SHA6
AHL1
NVIDIA is getting ready for the anticipated GTC 2024 Conference, scheduled to happen in a few days. This event is a moment for the company as it reveals its next-generation Blackwell AI GPUs giving developers a glimpse into the future of AI technology.
More About NVIDIA Blackwell AI GPUs
The industry is keenly observing NVIDIAs moves in the AI landscape and GTC 2024 is expected to be a moment for the company. This year’s conference is making a return as an in-person gathering with an attendance of 16,000 participants showing growth compared to GTC events. As reported by Reuters, NVIDIA has shared insights with developers about what they can look to focusing on the Blackwell AI GPUs and the notable advancements in the company’s CUDA platform.
The Blackwell GPUs are positioned as an innovation in the AI industry possibly surpassing the popularity of the H100 model. Though specific specifications have yet to be confirmed rumors suggest that these GPUs might feature a chipset (MCM) design or continue with a design for now potentially transitioning to a package solution in future updates.
Moreover, these accelerators are expected to boast HBM3e memory with increased capacities and enhanced specs potentially incorporating 16 Hi stacks. Dell’s Senior Vice President recently stressed the importance of cooling solutions of handle up to 1000W of power for these chips highlighting their substantial computing capabilities.
Alongside advancements in AI hardware NVIDIA is expected to introduce enhancements within the CUDA platform for improving AI performance. While details about these upgrades remain uncertain at this point they are poised to enhance the NVIDIA ecosystem and maintain its position in the market.
NVIDIA has everyone’s attention as they prepare for GTC 2024 on March 18th setting the stage for the future of AI technology. The company’s move post-conference is expected to have an impact, on its market position and financial outlook in the coming days.
