The researchers’ findings point to significant opportunities for GSI Technology as customers increasingly require performance-per-watt gains across various industries, including Edge AI for ...
A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
Memory startup d-Matrix is claiming its 3D stacked memory will be up to 10x faster and run at up to 10x greater speeds than HBM. d-Matrix's 3D digital in-memory compute (3DIMC) technology is the ...
The Register on MSN
How agentic AI can strain modern memory hierarchies
You can’t cheaply recompute without re-running the whole model – so KV cache starts piling up Feature Large language model ...
CEO Jensen Huang said during a visit to Taiwan that surging AI demand is rapidly increasing the need for advanced memory. AI's Next Bottleneck Is Memory, Not Just Compute Huang said the future of ...
Another day, and another artificial intelligence chipmaker is raking in millions of dollars in funding. Today it’s a startup ...
Why GPU memorymatters for CAD,viz and AI. Even the fastest GPU can stall if it runs out of memory. CAD, BIM visualisation, and AI workflows often demand more than you think, and it all adds up when ...
Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...
Micron plans a $24 billion memory chip fab in Singapore, with NAND production slated for late 2028 and HBM packaging starting ...
A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...
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