594 summarised stories about GPU Infrastructure, each linking back to the original source. Browse all topics →
SiliconANGLE 2 months ago 17 ● 2 sources
Groq announced it raised an additional $350 million in funding, with Series A leadership from Disruptive and Nvidia planning to join later. The company said it will expand GroqCloud capacity from 57 megawatts to over 200 megawatts next year. GroqCloud will grow in capacity as a result, letting customers run more AI inference workloads on its public cloud infrastructure.
Hugging Face 2 months ago 30
A constraint-aware GPU allocator was benchmarked against a FIFO scheduler on identical hardware and workloads, and it produced higher GPU utilization and priority-weighted output by changing only the order of allocation decisions. In the training-heavy case on 8 GPUs, utilization rose from 53.6% to 87.0% (+33.4 points), with priority-weighted value increasing by 105.1%. The results show that scheduling that treats real-time demand as a curve and assigns GPU placements by priority across the full horizon improves utilization and value without tradeoffs across the tested scenarios, rather than simply keeping GPUs busy with FIFO ordering.
Amazon Web Services 2 months ago 33
NVIDIA Nemotron 3.5 Lightning was added to Amazon SageMaker JumpStart, letting users deploy the open model without manually configuring the serving infrastructure. The launch reports up to 4x higher throughput and up to 30% faster task completion for high-volume agentic workloads. Users can now pick the BF16 or NVFP4 model variants in JumpStart and create SageMaker AI endpoints, changing deployment from custom setup to one-click provisioning.
TechCrunch 2 months ago 26 ● 2 sources
Groq raised $350 million to continue shifting from an AI chipmaker into a “neocloud” provider of GPU-based AI infrastructure. The round values the company at $3.5 billion, down from $6.9 billion in September. Groq plans to expand capacity from 54 megawatts to more than 200 megawatts by 2027 and operate Nvidia-based systems as an infrastructure provider within Nvidia’s ecosystem.
TechCrunch 2 months ago 4 ● 7 sources
Nvidia agreed to invest $1.5 billion in SB Energy, a SoftBank-linked data center developer tied to OpenAI’s Ports-Pike site near Cincinnati. Nvidia also plans to provide up to $105 billion in credit and the facility is projected to scale from 4.25 gigawatts to 8 gigawatts. The deal makes Nvidia the sole compute infrastructure supplier for the data center and ties the buildout to a 9.2 gigawatt natural gas power plant expected to cost $33 billion.
NVIDIA 2 months ago 41 ● 7 sources
NVIDIA is partnering with SB Energy to secure LPS capacity at the PORTS-Pike Technology Campus in Portsmouth, Ohio for OpenAI’s NVIDIA compute.
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TLDRocket
25 October 2026
The biggest AI story today isn’t a model release—it’s the map. As the US and China harden into rival AI blocs, “swing countries” are trying to keep options open, and Kazakhstan’s moves show how fast the chessboard is shifting. After trips and talks on both sides, it signed an investment deal worth up to $10 billion with Nvidia for a “data center valley,” while still engaging with Chinese frameworks via initiatives like China’s World AI Cooperation Organization. The underlying point is blunt: when chip access, open-source choices, and procurement rules tighten, governments can’t play both sides indefinitely—and they’re already rebalancing around what they can plausibly run.
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