NVIDIA has just announced its new A2 Tensor Core, its latest entry-level Ampere-based accelerator using the GA107 GPU which packs 1280 CUDA cores, with 16GB of GDDR6 memory. The new NVIDIA A2 Tensor ...

Intel has 32 Tensor Cores on each chip, for a total of 64 Tensor Cores. Each chip features 48MB of SRAM, for a total of 96MB of SRAM per full package. The SRAM on the Intel Gaudi 3 AI accelerator ...

New computational techniques, 'HighLight' and 'Tailors and Swiftiles,' could dramatically boost the speed and performance of high-performance computing applications like graph analytics or generative ...

We have said it before, and we will say it again right here: If you can make a matrix math engine that runs the PyTorch framework and the Llama large language model, both of which are open source and ...

A technical paper titled “Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling” was published by researchers at MIT and NVIDIA. The paper won “Distinguished Artifact Award” at the ...

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.

Researchers from MIT and NVIDIA have developed two techniques that accelerate the processing of sparse tensors, a type of data structure that’s used for high-performance computing tasks. The ...