As enterprises seek alternatives to concentrated GPU markets, demonstrations of production-grade performance with diverse ...

Eight years after the first mobile NPUs, fragmented tooling and vendor lock-in raise a bigger question: are dedicated AI ...

The NVIDIA-Groq $20 billion deal announced on December 24, 2025 is a major strategic move in the AI hardware space. NVIDIA and Groq clarified that it is not a full company acquisition. The deal is ...

What if you could run trillion-parameter AI models on your desk without relying on expensive cloud infrastructure? In the video, Alex Ziskind breaks down Apple’s latest innovations in artificial ...

Want to call someone a quick-thinker? The easiest cliché for doing so is calling her a computer – in fact, “computers” was the literal job title of the “Hidden Figures” mathematicians who drove the ...

Ray's innovative disaggregated hybrid parallelism significantly enhances multimodal AI training efficiency, achieving up to 1.37x throughput improvement and overcoming memory challenges. In a ...

Nvidia earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for GPUs across large datasets, part of what the chip giant claimed was its ...

Tensor's Robocar has been custom built for Level 4 autonomy. Most people agree that full autonomy will be a big part of the future of driving. The question is when. Tesla may have been making all the ...

On page https://docs.vllm.ai/en/latest/serving/expert_parallel_deployment/#single-node-deployment it says Tensor parallel size can only be 1 but didn't mention the ...

Large Language Models (LLMs) with Mixture-of-Expert (MoE) architectures achieve superior model performance with reduced computation costs, but at the cost of high memory capacity and bandwidth ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Error: AssertionError: All-gather requires quantizable tensor for quantizer Float8BlockQuantizer If this assertion is commented out and SP (Sequence Parallelism) is disabled: Error: ValueError: When ...