Hardware Root of Trust in the Quantum Computing Era: How PUF-PQC Solves PPA Challenges for SoCs ...
Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.
Calling it the highest performance chip of any custom cloud accelerator, the company says Maia is optimized for AI inference on multiple models.
Built with TSMC's 3nm process, Microsoft's new Maia 200 AI accelerator will reportedly 'dramatically improve the economics of ...
The Ryzen 7 9850X3D mostly does what it says it does: It’s a mild speed bump to AMD’s best gaming processor that, in most ...
Today, we’re proud to introduce Maia 200, a breakthrough inference accelerator engineered to dramatically improve the ...
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Moore's law: The famous rule of computing has reached the end of the road, so what comes next?
For half a century, computing advanced in a reassuring, predictable way. Transistors—devices used to switch electrical ...
Tech Xplore on MSN
Powering AI from space, at scale, with a passive tether design
Penn Engineers have developed a novel design for solar-powered data centers that will orbit Earth and could realistically scale to meet the growing demand for AI computing while reducing the ...
Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...
Traditional technical debt metaphors suggest something that can be paid down incrementally. Over-engineering does not behave ...
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