Accelerated Computing stories
NVIDIA has released AI Launchpad, an end-to-end hardware and software stack giving enterprises immediate access to NVIDIA-powered infrastructure and software.
NVIDIA has announced its new cloud-hosted development hub that enables companies to quickly shift AI projects from prototypes to production.
The Cloudera Data Platform will integrate the RAPIDS Accelerator for Apache Spark 3.0, deployed on NVIDIA's computing platforms.
The company will become part of an effort to create the 'largest and most powerful' supercomputer in the Netherlands - a project worth €20 million.
The EC2 P4d, designed for machine learning and high-performance computing environment, features eight A100 GPUs and 400 Gbps of network bandwidth.
Avaya's cloud collaboration and communication suite Avaya Spaces now has an added touch of NVIDIA's cloud artificial intelligence (AI) solutions.
NVIDIA and VMware team up to democratise AI and bring powerful technologies to every enterprise. Partnership aims to accelerate AI adoption.
Supermicro launches GPU systems with NVIDIA A100 for AI, boosting performance in deployments from 1U to 10U. CEO Charles Liang touts 5 PetaFLOPS of AI power.
The NVIDIA A100 GPU boasts up to 20 times more power than its predecessors, boosting throughput for data centres as demand for data surges.
The Clara platform fuses AI and accelerated computing to assist hospitals, healthcare researchers, and technology providers fight back against the pandemic.
NVIDIA launches Mellanox SmartNIC, ConnectX-6 Lx, for modern data centres, delivering up to 50Gb/s and boosting security, accelerating workflows.
NVIDIA's Turing GPUs and Xavier SoCs top all five MLPerf AI inference benchmarks, showcasing unmatched performance from data centres to edge computing.
VMware and NVIDIA partner to enhance GPU services for high-performance computing on VMware Cloud, aiming to boost AI and data science applications.
NVIDIA has integrated CUDA support for Arm CPUs, paving the way for exascale supercomputers that are both energy-efficient and AI-enabled, enhancing HPC reach.
NVIDIA launches new platform to enable low-latency AI at the edge, allowing companies to process real-time streaming data.
This collaboration comes at a time when enterprises are relying on AI and data science to turn their vast amounts of data into actionable intelligence.
Red Hat and NVIDIA have deepened their alliance to streamline AI and machine learning, focusing on GPU-accelerated workloads across hybrid cloud environments.
NVIDIA partners with top OEMs to launch high-performance workstations, enhancing capabilities for data scientists with dual Quadro RTX GPUs and CUDA-X AI.
NVIDIA partners with major server manufacturers to provide highly efficient platforms for data analytics and other workloads.
The announcement of NVIDIA's largest ever acquisition follows months of speculation involving other potential bids from the likes of Microsoft and Intel.
