Gpu

• Nvidia delivers first Vera Rubin AI GPU samples to customers - 88-core Vera CPU paired with Rubin GPUs with 288 GB of HBM4 memory apiece On track for 2H 2026 • Get Tom’s Hardware

• We are open-sourcing the initial version of RCCLX - an enhanced version of RCCL that we developed and tested on Meta’s internal workloads. • RCCLX is fully integrated with Torchc

• Tiny-gpu-compiler: An educational MLIR-based compiler targeting open-source GPU hardware I built an open-source compiler that uses MLIR to compile a C-like GPU kernellanguage dow

• Prefill/decode disaggregation improves latency-throughput tradeoff for large language model serving. • Energy consumption remains high; autoscaling is too coarse-grained for rapi

• GPRat library extended to a fully GPU-resident Gaussian Process prediction pipeline. • Combines HPX task‑based parallelism with an intuitive Python API for seamless integration.

• GPUs dominate HPC/ML workloads, yet inter‑GPU communication remains a scalability bottleneck. • Traditional CPU‑centric communication is being challenged by GPU‑centric models th

• ucTrace delivers fine‑grained UCX communication traces, filling gaps left by existing MPI profilers. • It maps UCX operations back to originating MPI calls, linking host‑to‑devic

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 19 Feb 2026] Title:GPU Memory and Utilization Estimation for Training-Aware Resource Management: Opp

• AI craze leaves only one Nvidia RTX 50-series GPU at MSRP - RTX 5060 Ti 8GB makes the final stand, as even the RTX 5050 falls Get Tom’s Hardware’s best news and in-depth reviews,

• Intel Hiring More Linux Developers - Including For GPU Drivers / Linux Gaming Stack As some good news out of Intel today on the Linux/open-source side following last year’s layof

• The great Bench GPU retest begins - how we’re testing for our GPU Hierarchy in 2026, and why upscaling and framegen are still out It’s time to test. • Here’s how the sausage is m

• NVIDIA flagship data center GPUs in the NVIDIA Ampere, NVIDIA Hopper, and NVIDIA Blackwell families all feature non-uniform memory access (NUMA) behaviors, but expose a single me

• By Jason Peng and Hemasumanth Rasineni Production-grade LLM inference demands more than just access to GPUs; it requires deep optimization across the entire serving stack, from q

• Expanding our Agentic Inference Cloud: Introducing GPU Droplets Powered by AMD Instinct™ MI350X GPUs ByWaverly Swinton Published:February 19, 2026 2 min read As our Agentic Infer

• As AI workloads scale, achieving high throughput, efficient resource usage, and predictable latency becomes essential. • NVIDIA Run:ai addresses these challenges through intellig

• Topping the GPU MODE Kernel Leaderboard with NVIDIA cuda.compute The leaderboard scores how fast users’ custom GPU kernels solve a set of standard problems like vector addition,

• Antenna design often seen as black art, but brute-force GPU approach explored. • Janne, novice, used VNA and GPU-based FDTD to simulate and optimize antennas. • Leveraged LLMs to

• Warnings in GPU to NVVM pipeline Hi, I’m currently in the process of trying to understand the conversion from the GPU dialect to LLVM via the NVVM dialect and GPU code-generation

• Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization Author

• Kimi K2.5 is a multimodal vision‑language model trained with Megatron‑LM. • It contains 1 trillion parameters, 384 experts, a single dense layer, and 3.2% activation per token. •

• NVIDIA CUDA Tile is a GPU-based programming model that targets portability for NVIDIA Tensor Cores, unlocking peak GPU performance. • One of the great things about CUDA Tile is t

• NVIDIA Run:ai v2.24 introduces time-based fairshare scheduling for Kubernetes GPU clusters. • Scheduler tracks historical GPU usage, adjusting queue scores to balance long-term r

• Amazon EC2 G7e instances GA, NVIDIA RTX PRO 6000 Blackwell GPUs, 2.3× better inference than G6e. • G7e offers up to 8 GPUs, 768GB total GPU memory, supports FP8 precision, ideal

• Amazon EC2 G7e instances launched, powered by NVIDIA RTX PRO 6000 Blackwell GPUs. • Deliver up to 2.3× inference performance over G6e, ideal for generative AI and graphics worklo

• Author: Cedric Blondeau TL;DR We migrated Reddit’s Home Feed Ranker from CPU to GPU to unlock scalability, efficiency, and enable further growth with new architectures like Trans

• Hack Week 2025: How these engineers liquid-cooled a GPU server Hack Week 2025 at Dropbox centered on the theme ‘Keep It Simple,’ offering opportunities for innovation, experiment

• Hack Week 2025: How these engineers liquid-cooled a GPU server Hack Week 2025 at Dropbox centered on the theme ‘Keep It Simple,’ offering opportunities for innovation, experiment

• Arm launches 2024 Client Compute Subsystem (CSS) featuring 3nm process and new Cortex cores. • Cortex-X925 delivers highest single‑thread performance for demanding workloads. • C

• Arm unveils Cortex‑X925, 5th‑gen flagship core, boosting performance and power efficiency. • Core part of 2024 Client Compute Subsystems, paired with DSU‑120 and Immortalis‑G925

• PayPal runs hundreds of thousands of Spark jobs hourly, processing petabytes of data. • Upgrading to Spark 3 and adopting NVIDIA RAPIDS GPUs cuts cloud costs up to 70%. • GPUs of