594 summarised stories about GPU Infrastructure, each linking back to the original source. Browse all topics →
TechCrunch 2 months ago 15
Kog, a French startup, says it can accelerate large language model inference on conventional data-center GPUs via its Kog Inference Engine. It reported 3,000 tokens per second on a demo using Laneformer 2B, and CEO Gaël Delalleau expects its first major model to reach 10x speed by September. Kog is shifting from demos toward implementing larger models and using early customer traction to raise its Series A.
SiliconANGLE 2 months ago 51
The article argues that the AI funding “bubble” is unlikely to burst soon because AI factory bottlenecks in areas like memory, packaging, networking, power, and site readiness keep tightening. It says these constraints won’t ease before at least 2028. As a result, deployment slows, price discovery gets delayed, and the market’s ability to judge whether overbuilding happened is postponed.
TheSequence 2 months ago 51
Inference systems turn a trained model into a streaming service that handles asynchronous user traffic, varying prompt sizes, and GPU scheduling for transformer computation. A described example uses a 4,000-token prompt requesting a 300-token answer. The shift is that “inference” is treated as a full request/token pipeline (tokenization, context assembly, routing, memory management, sampling, and streaming) rather than a single forward pass.
Tech Funding News 2 months ago 42
AMD began a four-part bond sale to fund AI and data center expansion, according to Bloomberg and Reuters. The offering is for $4 billion to $5 billion, with options at 3, 5, 7, and 10 years and pricing talks around 70 to 115 basis points over US Treasuries. If it raises the proceeds, AMD can invest in foundry capacity, packaging, and data center partnerships while also planning to repay $875 million of bonds due September 2026, shifting its funding approach toward capital markets.
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TLDRocket
25 October 2026
The biggest throughline today is how fast AI geopolitics is turning into procurement. Kazakhstan is trying to keep daylight between rival blocs—signing up for China’s World AI Cooperation Organization while still engaging the U.S. on supply-chain questions—then following through with an investment deal worth up to $10 billion with Nvidia for a “data center valley” after a June Washington trip and before Shanghai’s. The message is clear: when chip access and open-source ecosystems are split by policy, middle states hedge with hardware buys, not speeches.
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