Tensor Cores
PulseAugur coverage of Tensor Cores — every cluster mentioning Tensor Cores across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New im2win convolution method boosts GPU performance and memory efficiency
Researchers have developed an enhanced version of the im2win convolution method, designed for greater memory efficiency and performance on GPUs. This updated method supports full precision on CUDA cores and half precisi…
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Pre-modded 22GB RTX 2080 Ti GPUs surface on eBay for AI tasks
A Hong Kong-based seller is offering pre-modded NVIDIA RTX 2080 Ti graphics cards with 22GB of VRAM on eBay for $499. These older GPUs are being repurposed for AI tasks, particularly large language models and diffusion …
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NVIDIA AI Infrastructure Certification Program Launched with Training Resources
A training program and associated resources are available for the NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO) certification. The program includes recorded sessions, an exam guide, and practic…
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AMD challenges Nvidia with new Helios AI system and GPUs · 4 sources tracked
AMD is challenging Nvidia's dominance in AI computing with its new Helios rack-scale system, featuring 72 Instinct MI455X GPUs and next-generation EPYC processors. This integrated solution aims to provide a complete, re…
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LLM inference speed limited by hardware physics, not model complexity
An article explores the performance bottlenecks in Large Language Model (LLM) inference, arguing that the primary limitation is not the model itself but rather the underlying physics of hardware, specifically memory ban…
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GPU Matmul Optimization Techniques Detailed
This article delves into advanced techniques for optimizing matrix multiplication (matmul) on modern GPUs. It covers specialized hardware features like Tensor Cores and memory transfer accelerators (TMA), alongside stra…
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Together AI releases FlashAttention-3 and -4 for faster LLM processing
Together AI has released FlashAttention-3 and FlashAttention-4, significant upgrades to their GPU-accelerated attention mechanism for large language models. FlashAttention-3, designed for Hopper GPUs, achieves up to 75%…
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Sakana AI, NVIDIA unveil TwELL for faster LLM training and inference
Researchers from Sakana AI and NVIDIA have developed TwELL, a novel method that significantly speeds up large language model (LLM) operations. By targeting the feedforward layers, which are computationally intensive, Tw…