It was only a few months ago when waferscale compute pioneer Cerebras Systems was bragging that a handful of its WSE-3 ...

The new AI supercomputer, named "Gefion" and built on NVIDIA DGX SuperPOD, was launched at an event in Copenhagen, where HM ...

Originally driven by Intel’s now-defunct Optane storage class memory, Parallelstore offers massive parallel file storage ...

With the rise of artificial intelligence, the requirement for higher-performance hardware accelerators that can support ...

NVIDIA's latest advancements in parallelism techniques enhance Llama 3.1 405B throughput by 1.5x, using NVIDIA H200 Tensor Core GPUs and NVLink Switch, improving AI inference performance. The rapid ...

The Symbolic Tensor Graph is a generator for Chakra Execution Trace (ET) files. This tool is designed to generate synthetic workload traces for use in parallel strategy exploration without gathering ...

The Symbolic Tensor Graph is a generator for Chakra Execution Trace (ET) files. This tool is designed to generate synthetic workload traces for use in parallel strategy exploration without gathering ...

Abstract: Sparse tensor contraction (SpTC) is an important operator in tensor networks ... index accesses and uses a bitmap to store the distribution of non-zero elements in a block to reduce the ...

The appetite for AI remains high, and Nvidia's GPUs have become the chip of choice among AI players of all sizes. "We ...

GPUs are essential for training and running AI models; they contain thousands of cores that work in parallel to quickly perform the linear algebra equations scaffolding the models. The appetite ...

With features like token-based continuous batching, XLA-optimized PagedAttention kernels, tensor parallelism, and direct integration with Hugging Face, Hex-LLM offers a powerful and cost-effective ...