591 summarised stories about GPU Infrastructure, each linking back to the original source. Browse all topics →
TechCrunch 1 month ago 17 ● 3 sources
Crusoe raised $3.9 billion in a Series F to support large data center projects and smaller, truck-transportable modular “AI factories” it calls Spark. The round increases Crusoe’s valuation to $30.9 billion. It plans to finance existing sites used for OpenAI compute and expand modular deployments to reduce construction labor needs and local community backlash.
BBC News 1 month ago 4
Freddo the robot was trained in a virtual simulation to walk, recognize a bottle, and grasp it in just minutes and then ran the resulting policy on its hardware.
MarkTechPost 1 month ago 32
Microsoft open-sourced TauGrid, a Kubernetes-native platform that bundles queueing, Ray orchestration, GPU health monitoring, and observability for AI workloads into a single Helm install. It was released on August 28, 2026, under the MIT license with version 0.4.2 available via a Helm chart from Microsoft Container Registry. Platform teams now deploy AI job submission and execution through one install and use Tau evidence records to make runs more reproducible and auditable, with telemetry disabled by default but Azure Data Explorer observability still Azure-specific.
The New Stack 1 month ago 11
Intel researchers introduced BITCOS to compress ternary LLM weights by storing zero locations separately, without retraining or changing model outputs. BITCOS reduced storage to 1.485 bits per weight and increased decoding throughput by up to 18% on CPUs and 27% on GPUs. The smaller format speeds token decoding on many Intel platforms but does not help on bandwidth-rich CPUs like Lunar Lake where a fixed 2-bit kernel stays faster.
TechCrunch 1 month ago 46
Huawei moved its Ascend 960DT AI chip launch from Q3 2027 to Q1 2027 at Huawei Connect, aiming to better compete with Nvidia.
TheSequence 1 month ago 50
The Sequence Opinion (Issue 935) argues that Chinese frontier labs emphasize algorithmic efficiency while American labs pursue scaling via major infrastructure plans like OpenAI’s Stargate, and that this is often misframed as “cleverness vs purchasing power.” Issue 935 is the specific edition cited. The focus shifts to how each side decides whether to spend the next dollar on more computation or on making existing compute more productive, which can change model design and what training runs are worth attempting.
TLDR 1 month ago 35 ● 3 sources
Apple is working on an AI server powered by its M-series Ultra chips. The server is expected to be released in 2029 with two or four M8 Ultra chips. As a result, Apple would be moving deeper into enterprise AI compute with a dedicated, chip-packed server offering.
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24 October 2026
Local deployment took the spotlight today, with NVIDIA making small enough models feel practical again. Its Nemotron 3.5 Bolt E4B targets a 4GB VRAM sweet spot for on-device voice agents, game NPCs, and robot interfaces, packing 8B parameters on paper (4B effective) and a 64K context window. The twist isn’t just the size; it’s the packaging. NVIDIA is offering an open-weight 4GB-environment build in Q4_K_M, alongside API and integration paths aimed at tool-calling agent behavior—meaning developers can stitch together speech, actions, and domain tools without needing a data center’s worth of compute.
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