GPUs are specialized microprocessors used to train and run artificial intelligence models efficiently. Truncated covers hardware supply chains, production capacities, allocation strategies and industry demand.
NVIDIA Technical Blog — When deploying diffusion models in design tools, image editors, and visual production workflows, developers must account for inference latency. Generating an image requires multiple sequential passes…
Wccftech — Taiwanese kitchen drawer slide manufacturer King Slide controls up to 90 percent of high end AI server rails, capturing massive 87.4 percent gross margins
XDA — My local LLM replaces yet another subscription for effectively $0
Unite.AI — Amazon Web Services (AWS) announced NVIDIA Multi-Instance GPU support for Amazon SageMaker Inference on November 6, 2026, letting multiple hardware-isolated models share one accelerator on real-time endpoints instead of...
semafor.com — According to a PowerPoint presentation reviewed by Semafor, former Intel CEO Pat Gelsinger said the industry is failing to innovate on new technologies that could create exponential performance gains.
Investing.com — Oracle falls 4% as Microsoft reportedly winds down AI cloud capacity deal
datacenterdynamics.com — What happens when a neocloud loses several hours of compute capacity, but its next debt payment is still due in full?
Wccftech — Authorities in California are investigating an elaborate freight heist after six pallets of NVIDIA silicon worth $11.4 million dollars vanished during transit to Texas
Investing.com — TSMC rises on report of potential push into advanced memory for Nvidia
semafor.com — Exchange operators are racing to make GPU compute a tradable commodity like oil or wheat, but the Trump administration’s national security concerns could complicate the effort.
XDA — One Llama.cpp command can turn your PC into an AI server, and it really is that easy
CNBC — Following a dramatic plunge in its stock price, IREN said some revenue is being delayed from 2026 until early next year.
Wccftech — NVIDIA next generation Kyber Rubin Ultra NVL576 rack demands an unprecedented 600kW of continuous power, forcing data centers to completely rethink infrastructure
ROCm Blogs — Profile an eight-layer training proxy derived from the DeepSeek-V4-Flash Primus configuration on eight MI350X GPUs with madengine and TraceLens, then turn operator-to-kernel insights into faster runs.
NVIDIA Technical Blog — One underperforming GPU can slow an entire distributed training job. The node may pass basic health checks and show normal utilization, leaving operators to discover the problem only after the…
AIStockWire — About 600,000 Nvidia (NVDA) H200 chips sit in Hong Kong without Beijing's import approval, while Moonshot AI has sought to rent Blackwell clusters in Europe.
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