Matrix multiplication is one of the most basic algebraic operations. Since Strassen's surprising breakthrough algorithm from 1969, which showed that matrices can be multiplied faster than the most ...
Compared to training, inference is a much more diverse workload, which presents an opportunity for chip startups to carve out ...
Stop overpaying for idle GPUs by splitting your LLM workload into prompt and generation pools. It’s like giving your AI its own dedicated fast and slow lanes.
IEEE Spectrum on MSN
Better hardware could turn zeros into AI heroes
Sparse computing enables leaner, faster AI ...
Dr. Xianxin Guo, CEO and Co-Founder of Lumai, is a physicist and deep-tech entrepreneur specializing in optical computing and AI hardware, with a PhD in quantum physics and nonlinear optics from the ...
Advanced Micro Devices, Inc. benefits from AI data center growth and hyperscaler deals but faces Nvidia and rich valuation.
Here is how you know that GenAI training and GenAI inference are very different computing and networking beasts, and diverging more with each passing day: Google has just forked its Tensor Processing ...
SEMIFIVE, a leading global provider of custom AI semiconductor (ASIC) solutions, and ICY Tech, a Chinese AI semiconductor company, today announced the successful tape-out of next-generation Edge ...
Google wasn't caught off guard by the AI revolution; its custom-built TPUs, developed since 2016, are now a formidable force.
The Blackwell architecture is the latest design for NVIDIA’s AI chips. It’s built to be much faster and more efficient than ...
The first major fruits of the x86 Ecosystem Advisory Group (EAG) have come in the form of ACE, a new set of matrix ...
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