#128gb-vram
#128gb-vram
[ follow ]
#nvidia #ai-infrastructure #ai #amd #data-center #intel #gpus #gaming #technology #laptops #nvidia-earnings #apple #ai-chips
#ai-infrastructure
DevOps
fromMedium
1 day agoThe AI Infrastructure Stack in 2026: Companies Building the Future of AI
AI infrastructure companies are transforming the deployment and scaling of artificial intelligence into full production systems with essential governance and observability.
fromTechCrunch
1 month agoVenture
Thinking Machines Lab inks massive compute deal with Nvidia | TechCrunch
Mira Murati's Thinking Machines Lab signed a multi-year strategic partnership with Nvidia involving at least one gigawatt of Vera Rubin systems deployment starting in 2027, with Nvidia also making a strategic investment in the $12 billion-valued AI research company.
fromTechRepublic
1 month agoArtificial intelligence
Nvidia's Vera Rubin Promises 10x Efficiency as AI Power Demands Surge
Nvidia's Vera Rubin system prioritizes energy efficiency and modularity over raw speed, delivering 10 times more performance per watt than Grace Blackwell to address data center power constraints and scaling challenges.
Venture
fromTechCrunch
1 month agoThinking Machines Lab inks massive compute deal with Nvidia | TechCrunch
Mira Murati's Thinking Machines Lab signed a multi-year strategic partnership with Nvidia involving at least one gigawatt of Vera Rubin systems deployment starting in 2027, with Nvidia also making a strategic investment in the $12 billion-valued AI research company.
Artificial intelligence
fromTechRepublic
1 month agoNvidia's Vera Rubin Promises 10x Efficiency as AI Power Demands Surge
Nvidia's Vera Rubin system prioritizes energy efficiency and modularity over raw speed, delivering 10 times more performance per watt than Grace Blackwell to address data center power constraints and scaling challenges.
#google
Tech industry
fromTNW | Artificial-Intelligence
2 days agoGoogle in talks with Marvell Technology to build new AI inference chips alongside Broadcom TPU programme
Google is collaborating with Marvell Technology to develop new AI chips, enhancing its custom silicon supply chain for inference processing.
fromEngadget
2 days agoThe next Mac Studio and MacBook Pro releases could be postponed by several months
At least two of the company's upcoming machines could debut a little later than the company initially planned, referencing the refreshes to Apple's desktop and its laptop that's expected to get a touchscreen.
Apple
Artificial intelligence
fromTechCrunch
1 month agoNiv-AI exits stealth to wring more power performance out of GPUs | TechCrunch
AI data centers waste significant power due to GPU demand surges, forcing operators to throttle performance by up to 30%, prompting startups like Niv-AI to develop precision power management solutions.
Gadgets
fromArs Technica
1 month agoAMD will bring its "Ryzen AI" processors to standard desktop PCs for the first time
AMD's Ryzen AI 400-series desktop processors are repackaged laptop chips with up to 8 CPU cores and Radeon 860M GPUs, targeting business desktops rather than gaming due to high DDR5 memory costs.
Artificial intelligence
from24/7 Wall St.
1 month agoNVIDIA Cements Its Role as the Backbone of AI Infrastructure
NVIDIA's networking revenue grew 162% year-over-year to $8.2 billion, nearly tripling GPU growth, signaling a shift from chip seller to integrated infrastructure provider selling complete AI data center systems.
fromTheregister
2 months agoPositron opts for laptop RAM over HBM to take on Nvidia
On paper, Positron's next-gen Asimov accelerators, no doubt named for the beloved science fiction author, don't look like much of a match for Nvidia's Rubin GPUs. Yet, the Arm-backed AI startup boasts its inference chip will churn out five times as many tokens per dollar while using one-fifth the power of Nvidia's latest accelerators to do it. Those are certainly some bold claims, which the company contends are possible because the chip was designed to support large-scale inference workloads.
Artificial intelligence
[ Load more ]