Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...

The biggest challenge posed by AI training is in moving the massive datasets between the memory and processor.

And now, the Graviton 4 processors are getting a memory boost, which in turn will allow them to take on more jobs that are bound by memory capacity and memory bandwidth. The Graviton 4 processors were ...

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 ...

There are lots of ways that we might build out the memory capacity and memory bandwidth of compute engines to drive AI and HPC workloads better than we have been able to do thus far. But, as we were ...

The MarketWatch News Department was not involved in the creation of this content. SUNNYVALE, Calif., Oct. 20, 2025 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), the inventor of the ...

Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...

Walk into any modern AI lab, data center, or autonomous vehicle development environment, and you’ll hear engineers talk endlessly about FLOPS, TOPS, sparsity, quantization, and model scaling laws.

Google's TPUs might not be on Altman's menu just yet, but he's never been all that picky about hardware Analysis No longer bound to Microsoft's infrastructure, OpenAI is looking to expand its network ...