DEEPSEEK
IBM Achieves 100x Speedup With Quantum-GPU Hybrid Computing
IBM and partners demonstrate quantum-centric supercomputing breakthrough, combining QPUs with AMD and NVIDIA GPUs for 100x performance gains in chemistry simulations.
NVIDIA Run:ai v2.24 Tackles GPU Scheduling Fairness for AI Workloads
NVIDIA's new time-based fairshare scheduling prevents GPU resource hogging in Kubernetes clusters, addressing critical bottleneck for enterprise AI deployments.
NVIDIA ALCHEMI Toolkit-Ops Enhances AI-Driven Chemistry Simulations
NVIDIA unveils its ALCHEMI Toolkit-Ops, a GPU-accelerated solution aimed at transforming AI-driven simulations in chemistry and materials science.
NVIDIA's Sirius Breaks ClickBench Records with GPU-Acceleration
NVIDIA's Sirius, a GPU-accelerated SQL engine for DuckDB, sets new performance benchmarks on ClickBench, showcasing cost-efficiency and speed through innovative GPU-native execution.
Enhancing Financial Decisions with GPU-Accelerated Portfolio Optimization
NVIDIA introduces a GPU-accelerated solution to streamline financial portfolio optimization, overcoming the traditional speed-complexity trade-off, and enabling real-time decision-making.
NVIDIA NCCL 2.28 Revolutionizes GPU Communication with New Device API
NVIDIA's latest NCCL 2.28 release introduces a device API, enhancing communication and computation fusion for GPU networks, boosting performance and efficiency.
NVIDIA Introduces Interactive AI Agent for Enhanced Machine Learning Efficiency
NVIDIA unveils an AI agent that accelerates machine learning tasks using GPU technology, simplifying workflows and boosting efficiency through modular design and language model integration.
NVIDIA Unveils NVQLink: Bridging Quantum and GPU Computing
NVIDIA introduces NVQLink, a system architecture connecting quantum processors with GPU computing, aiming to accelerate quantum supercomputing across major scientific labs and quantum builders.
Render Network Expands with RNP-021 for Enhanced AI and GPU Capabilities
Render Network introduces RNP-021 to support enterprise-grade GPUs, enhancing AI and video rendering capabilities. The initiative aims to meet the growing demand in the GPU market.
Exploring NVIDIA's CDMM Mode for Enhanced Memory Management
NVIDIA introduces Coherent Driver-based Memory Management (CDMM) to improve GPU memory control on hardware-coherent platforms, addressing issues faced by developers and cluster administrators.