Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten ...
Morning Overview on MSN
Nvidia’s Rubin platform treats memory like the main event
Nvidia’s Rubin platform arrives at a moment when artificial intelligence is running headlong into a memory wall. As models ...
As GPU’s become a bigger part of data center spend, the companies that provide the HBM memory needed to make them sing are benefitting tremendously. AI system performance is highly dependent on memory ...
MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Enfabrica Corporation, an industry leader in high-performance networking silicon for artificial intelligence (AI) and accelerated computing, today announced the ...
The debut of DeepSeek R1 sent ripples through the AI community, not just for its capabilities, but also for the sheer scale of its development. The 671-billion-parameter, open-source language model’s ...
Memory bandwidth is crucial for GPU performance, impacting rendering resolutions, texture quality, and parallel processing.
A technical paper titled “HMComp: Extending Near-Memory Capacity using Compression in Hybrid Memory” was published by researchers at Chalmers University of Technology and ZeroPoint Technologies.
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