GPU
NVIDIA Launches NodeWright for Kubernetes Node Management
NVIDIA's NodeWright simplifies Kubernetes node ops, enabling GPU fleet updates without disrupting AI workloads.
NVIDIA NIM Boosts Nemotron 3 Ultra Throughput by 2.5x
NVIDIA's NIM 2.0.12 delivers 2.5x throughput on Nemotron 3 Ultra, enabling enterprises to scale concurrent AI users on GPU infrastructure.
NVIDIA's BioNeMo Inference Runtime Boosts Protein Modeling
NVIDIA's BioNeMo Inference Runtime accelerates biomolecular structure prediction, delivering 2.9x throughput gains and energy efficiency on GPUs.
NVIDIA Launches CUDA Rust for GPU Kernels, Expands Rust Ecosystem
NVIDIA introduces CUDA Rust with SIMT and Tile tracks, enabling native GPU programming in Rust. Early-stage but pivotal for Rust ecosystem growth.
NVIDIA CUDA Optimizations: Practical Guide to Faster GPU Code
Learn how NVIDIA's CUDA toolbox boosts GPU performance by 300x, crucial for AI and HPC applications driving NVIDIA's $5.4T market cap.
NVIDIA CUDA Python 1.0 Launch Brings Stability to GPU Devs
NVIDIA CUDA Python 1.0 introduces stable APIs, unifying GPU programming for Python developers and simplifying access to CUDA's full power.
NVIDIA's GPU Tool Boosts Financial Instrument Clustering
NVIDIA introduces AdaptGrow, a GPU-powered tool for high-scale financial clustering, addressing risk and portfolio management challenges.
NVIDIA’s KAI Scheduler and vCluster Enable GPU Sharing in Kubernetes
NVIDIA introduces a solution for isolated Kubernetes clusters and efficient GPU sharing, reducing infrastructure costs for AI/ML teams.
Together AI Unveils Advanced Autoscaling for LLM Inference
Together AI introduces autoscaling features tailored for large language models, optimizing GPU use and managing latency during traffic spikes.
NVIDIA, Applied Materials Accelerate Semiconductor Innovation
NVIDIA and Applied Materials collaborate to advance semiconductor design with GPU-accelerated simulations and digital twins, addressing AI-driven demand.