Chinese memory chipmaker ChangXin Memory Technologies has signed a long-term supply agreement with Tencent Holdings worth ...
For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...
The technology uses predictive algorithms to identify frequently accessed data and move it between flash storage and high-speed memory in real time, reducing the amount of expensive DRAM a data center ...
Expanding beyond traditional block-based SSD access with new command sets, broader media support, and improved transport ...
NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...
Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.
Nvidia challenger D-Matrix is entering full production of an AI chip it says is 10 times faster than a GPU and bypasses the memory shortage.
Before the past year, many of us took computer memory for granted. It was one of the lower-cost parts of a PC build and was ...
The consensus view was that the war in Iran would be over by now, easing the increase in inflation caused by soaring energy prices, but that is clearly not the case. The bombing resumed after Iran ...
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Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc) - gpu_pdfs/A Trip Through The Graphics Pipeline - All (Short Version).pdf at master · veeYceeY/gpu_pdfs ...
Top-K sparse matrix–vector multiplication is the computational backbone of modern recommendation systems and graph neural networks (GNNs). While shifting these workloads to the edge offers the ...
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