Meta released a new study detailing its Llama 3 405B model training, which took 54 days with the 16,384 NVIDIA H100 AI GPU cluster. During that time, 419 unexpected component failures occurred, with ...

Timing technology aims to improve synchronization across AI GPU clusters, reducing drift & wait cycles to improve utilization ...

Decentralized artificial intelligence has a lot of ground to make up if it wants to compete with centralized AI providers such as OpenAI Group PBC and Google Cloud, but it’s getting a big boost today ...

Alpha Compute Corp. (NASDAQ: ALP) , a pioneering technology leader in AI GPU-as-a-service (GPUaaS) and AI Confidential Compute, today provided an update on the deployment status of its NVIDIA ...

Google Cloud is updating its AI Hypercomputer stack for artificial intelligence workloads, announcing the availability of a host of new processors and infrastructure software offerings. Today it ...

The race to create the world's most powerful artificial intelligence system has certainly heated up, and by the looks of things, it isn't stopping anytime soon, with multiple tech companies flocking ...

Enterprise GPU fleets average 5% utilization — not from misconfiguration, but a procurement loop where the shortage driving ...

AMSTERDAM--(BUSINESS WIRE)-- Nebius Group N.V. (“Nebius Group”, “Nebius” or the “Company”; NASDAQ:NBIS), a leading AI infrastructure company, today announced the launch of its first GPU cluster in the ...

Enabling Concurrent Multi-Tenancy in NVIDIA Cloud Partners and AI Factories New capability unifies EVPN/VXLAN control planes across Ethernet switches and NVIDIA BlueField DPUs. GPU cloud operators can ...

Partner Content The cost of training today’s large-scale foundation models is often reduced to a single number: the price of ...

Stop overpaying for idle GPUs by splitting your LLM workload into prompt and generation pools. It’s like giving your AI its ...