Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

Nvidia's BlueField-4 STX reference architecture inserts a dedicated context memory layer between GPUs and traditional storage, claiming 5x token throughput and 4x energy efficiency for agentic AI ...

Meet the Kioxia GP Series SSD designed to expand GPU memory and tackle trillion-parameter AI models ...

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...

Know how GPU mining works. Learn why graphics cards are ideal for cryptocurrency validation, their advantages over CPUs, and the future of digital asset mining.

Seismic workloads are limited by memory, causing GPU compute units to stay idle. Dataflow computing enhances utilization and efficiency for seismic HPC workloads. Maverick-2 enables seismic ...

New TorchPass solution addresses a multi-million dollar challenge with AI infrastructure; uses Live GPU Migration to keep ...

Nvidia's next-but-one AI accelerator Feynman will be much smaller. Instead of side-by-side chips, they will be stacked from 2028.

The memory shortage risks becoming a broader supply-chain problem. Unlike the pandemic-era chip crunch, which was driven ...

The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory Sparse Attention mechanism, Document-wise RoPE for extreme context ...

UPDATE: Stormforce have got in touch and issued a statement in response to our video, apologising for the errors and ...

Nvidia dominates 94% of desktop GPU sales in 2025 while AMD Radeon crashes to historic 5% low, squeezing gamers with fewer ...