South Korean chip startup Xcena is betting that AI's real bottleneck is not compute, but memory.
Samsung Electronics begins mass production of HBM4 AI memory chips with 40% faster speeds, signs strategic supply deal with ...
Agentic systems introduce additional complexity because they often involve long-running, multi-step processes spanning ...
Tensormesh Inc. has hit upon a way to make artificial intelligence inference more efficient by eliminating the need for ...
In turn, Arcuri expects Micron to lock-in attractive prices for its chips under long-term supply agreements with its ...
Cerebras stock soared out of the gate following its May 14 IPO, but how much of the AI processor market could its wafer-scale ...
AI-fueled delusions can happen when chatbots respond to grandiose, paranoid or imaginary ideas with affirmation or ...
Learn more Another legacy computer and enterprise technology company has officially cemented itself as a big player in the ...
OpenBMB's 1B-parameter model MiniCMP 5 brings MCP support and agentic tool use to on-device AI—but it has trouble with logic ...
XDA Developers on MSN
High-VRAM GPUs aren't the future of local AI — unified memory and mixture of experts models are
GPUs are fast, but they have limited RAM. Unified memory machines are big, but they have less bandwidth.
Building or buying a PC in 2026 just keeps getting more expensive, with memory and storage prices surging. I've been building ...
A startup specializing in AI inference pulled in $20 million in funding from investors including AMD, Nvidia, and neocloud ...
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