Alibaba’s market share is shrinking amid fierce competition and costly AI bets. See here to know why we gave a Sell rating on ...
Abstract: Since 2017, NVIDIA GPUs have been equipped with specialized units known as Tensor Cores, which demonstrate remarkable efficiency in processing matrix multiplications (GEMMs). Beyond GEMMs, ...
[08/05] Running a High-Performance GPT-OSS-120B Inference Server with TensorRT LLM ️ link [08/01] Scaling Expert Parallelism in TensorRT LLM (Part 2: Performance Status and Optimization) ️ link [07/26 ...
Nvidia, AMD, and Intel have all made high-quality image upscaling a cornerstone feature of their new GPUs this decade. Upscaling technologies like Nvidia’s Deep Learning Super Sampling (DLSS), AMD’s ...
An AI Model Has Been Trained in Space Using an Orbiting Nvidia GPU Starcloud flew up the Nvidia H100 enterprise GPU on a test satellite on Nov. 2. Major players including SpaceX, Google, and Amazon ...
French AI startup Mistral today launched Devstral 2, a new generation of its AI model designed for coding, as the company seeks to catch up to bigger AI labs like Anthropic and other coding-focused ...
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GPComp: Using GPU and SSD-GPU Peer to Peer DMA to Accelerate LSM-Tree Compaction for Key-Value Store
Abstract: LSM-tree-based Key-value systems are widely used in many internet applications, known for their superior write performance. Compaction operations, responsible for maintaining the pyramidal ...
Amazon says customers can save 30% to 40% by using its AI chips over Nvidia's GPUs. Amazon's Trainium3 chip is the latest movement in the company's efforts to scale up its custom AI hardware offerings ...
TL;DR: NVIDIA is reducing production of its B40 AI GPU for China from 1.5-2 million to 900,000 units in 2025, as Chinese AI firms favor RTX 5090 gaming GPUs, Hopper AI chips, and local alternatives.
New AI-driven jobs like decision designer and AI Experience Officer are emerging rapidly. These roles blend AI expertise with psychology, ethics, and organizational design skills. This article is part ...
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