Cloud computing, CUDA, Scalable Link Interface, GPGPU, ATI Technologies, Stream processing
Accelerating Data Center AI with the NVIDIA Converged Accelerator Developer Kit
Introducing the first GPU+DPU in a single package.
Accelerating Data Center AI with the NVIDIA Converged Accelerator Developer Kit
Introducing the first GPU+DPU in a single package.
We are sorry, we could not find the related article
Subscribe to AI Essentials - Research
GTC 2021 - NVIDIA didn't miss a beat during pandemic chaos
NVIDIA didn’t disappoint with its virtual GTC 2021 event, where it outlined some of the latest technologies that are helping to reshape industry and society.
Everything announced at Nvidia's GTC 2021: A data center CPU, SDK for quantum simulations and more
"Nvidia is now a three-chip company," CEO Jensen Huang said, referring to the new "Grace" CPU for giant-scale AI and HPC workloads.
Apache Spark + RAPIDS: The Future of Enterprise Data Science with Native GPU Acceleration.
By: Clement Farabet and Matei Zaharia
Nvidia adds DPUs to GPU lineup for artificial intelligence apps
Nvidia broadened its ambitions in the AI market with a new chip technology to supplement its GPU and CPU offerings from Arm to run AI-based applications faster. The new data processing ...
Enterprise Servers for Accelerated Workloads
T4 enterprise servers excel across the full range of accelerated workloads.
NVIDIA Is A Data Center Company Now
NVIDIA’s announcement that it would spend $6.9B to buy the data center networking company Mellanox surprised many people, including long-time NVIDIA watchers. This is the latest step in the ...
Nvidia spans AI from $59 Jetson Nano robots to massive datacenters on a chip
Nvidia CEO Jensen Huang announced products ranging from a $59 Jetson Nano robot brain to massive data processing units for the enterprise.
NVIDIA CEO Introduces Software, Silicon, Supercomputers ‘for the Da Vincis of Our Time’
Kicking off NVIDIA’s GTC tech conference, NVIDIA CEO Jensen Huang weaves latest advancements in AI, automotive, robotics, 5G, real-time graphics, collaboration and data centers into a ...
Highflying Nvidia widens its reach into enterprise data centers
Acquisitions bolster Nvidia's position in the data center and set the stage for more widespread use of GPUs for AI and machine-learning workloads.
NVIDIA’s RAPIDS joins our set of Deep Learning VM images for faster data science
Learn how you can set up a Deep Learning VM on Compute Engine to GPU accelerate your data science tasks with NVIDIA RAPIDS.
Nvidia debuts Grace, its first data center CPU for advanced AI workloads
Nvidia debuts Grace, its first data center CPU for advanced AI workloads - SiliconANGLE
Why The DPU Is More Important Than The CPU For Nvidia
If you are fairly new to the IT racket, you might be under the impression that the waves of integration and disaggregation in compute, networking, and
NVIDIA GPU Acceleration for Apache Spark™ in Azure Synapse Analytics
Azure recently announced support for NVIDIA’s T4 Tensor Core Graphics Processing Units (GPUs) which are ideal for deploying machine learning inferencing or analytical workloads in a ...
NVIDIA Rolls out TensorRT Hyperscale Platform and New T4 GPU for Ai Datacenters
This morning at GTC Japan, NVIDIA CEO Jensen Huang announced a set new products centered around Ai and accelerated computing. Targeting Hyperscale datacenters looking to run Ai workloads, ...
NVIDIA Jetson AGX Xavier Delivers 32 TeraOps for New Era of AI in Robotics
NVIDIA Jetson AGX Xavier Energy-Efficient Embedded Module Delivers 32 TeraOPS for robotics, autonomous vehicles, and remote inferencing
Nvidia Wants To Bring New BlueField DPUs To ‘Every Server’
Nvidia revealed its new family of BlueField DPUs at GTC 2020 that can offload hypervisor functionality from the CPU and enable new security and management capabilities.
CPU vs GPU in Machine Learning
Data scientist and analyst Gino Baltazar goes over the difference between CPUs, GPUs, and ASICS, and what to consider when choosing among these.
From AI to 5G, How Global Trends Will Transform Data Centers in 2021
After COVID-related slowdown in investments, data centers poised to undergo rapid change as businesses adjust to accelerated digitization of information