Yes, that simple question is, in the modern Nvidia world that has come to dominate AI training and to a certain extent HPC simulation and modeling, heretical. But given that CPUs are in many cases ...

Intel and AMD have jointly announced ACE, a new x86 instruction set extension that brings dedicated AI acceleration to CPUs, ...

AMD and Intel have teamed up to create a shared AI computing standard that could make future PCs and laptops faster at ...

The specification, called Advanced Compute Extensions, or ACE, lays out a way to handle AI operations more efficiently on x86 processors. It is not aimed at ...

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

Running AI models on x86 CPUs is becoming easier and faster ...

Microsoft's Copilot+ program for NPU notebooks launched in 2024. Now, GPUs are also allowed, deviating from the initial path.

Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.

Nvidia challenger D-Matrix is entering full production of an AI chip it says is 10 times faster than a GPU and bypasses the memory shortage.

There's a new challenger to Nvidia that says its chip can run AI inference at ten times the speed of a standalone GPU. The new chip from D-Matrix is called Corsair, and it's now in volume production ...

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) on GPU is critical to applications ranging from scientific simulations to Graph Neural Networks (GNNs) and Deep Neural Networks (DNNs). Modern GPUs ...