The NVIDIA A2 Tensor Core GPU enables low-power, small-footprint inference for NVIDIA AI at the edge. With a low-profile PCIe Gen4 card and a configurable thermal design power (TDP) of 40-60W, the A2 accelerates inference in any server for large-scale deployment. Up to a 20-fold increase in inference performance AI inference is used to improve …
Category: GPU
Hopper GPU Accelerates Dynamic Programming Up to 40x Using DPX Instructions
Dynamic programming, which is used in algorithms for genomics, quantum computing, route optimization, and more, can be sped up by up to 40% with new DPX instructions in the NVIDIA Hopper GPU architecture that was shown off today at GTC. An instruction set built into NVIDIA H100 GPUs called DPX will help developers write code …
H100 Transformer Engine boosts AI training performance
Training the largest AI models can take months on today’s computing platforms. For businesses, that is too slow. The complexity of AI, high-performance computing, and data analytics is increasing, with some models, such as large language models, containing trillions of parameters. The NVIDIA Hopper architecture was designed from the ground up to speed up these …
NVIDIA H100: Overview, Specs, & Release Date
The NVIDIA H100 is based on the Hopper architecture and serves as the “new engine of the world’s artificial intelligence infrastructures.” AI applications such as speech, conversation, customer service, and recommenders fundamentally reshape data center design. AI data centers process mountains of continuous data to train and refine AI models. Raw data is ingested, refined, …
Data Center GPU coupled with Ice Lake Xeon
Machine learning and data analytics are two examples of data-hungry workloads. Enterprises require accelerated servers that are optimized for high performance to handle these compute-intensive tasks. Intel’s new 3rd Gen Intel Xeon Scalable processors (code-named “Ice Lake”) are based on a new architecture that allows for a significant increase in performance and scalability. These new …
Does LSF support A100 GPU
MIG is supported in Nvidia A100 build 600061. Build 600297 is compatible with DCGM 2.1.7 and CUDA 11.2. A100 also necessitates the use of CUDA 11. LSF build 600061 and LSF build 600297 must be installed to take advantage of all the features of A100.
Deep Learning Research Could Lead to New Dinosaur Discoveries
By applying new technology to the study of ancient history, researchers hope to improve their understanding of dinosaurs through the use of a new artificial intelligence system. The work, published in Frontiers in Earth Science, scans and evaluates dinosaur fossils using high-resolution Computed Tomography (CT) imaging paired with deep learning models. The discovery is a …
A100 GPU: Accelerate Numerical Computing in C++ with a Python-like Syntax in NVIDIA MatX
It is said that you can write faster code in C++, but code faster in Python.” Because of CUDA, C and C++ programmers have been able to get the most out of NVIDIA GPUs for more than a decade. More recently, libraries like CuPy and PyTorch made it easier for people who write interpreted languages …
NVIDIA A100 MIG Cheat Sheat
MIG is only compatible with Linux distributions that support CUDA 11/R450 or higher. It’s also a good idea to use the NVIDIA Datacenter Linux driver version 450.80.02 or higher. MIG is not supported on any Windows Pro or Server OS. The new Multi-Instance GPU (MIG) functionality allows NVIDIA Ampere-based GPUs (such as the NVIDIA A100) …
NAMD v3 and NVIDIA A100 GPUs can deliver up to 9X the throughput
NVIDIA GPUs and CUDA grew substantially in performance and capabilities during the early stages of CUDA support in NAMD. One of the first CUDA-accelerated applications was NAMD, a widely used parallel molecular dynamics simulation engine. For more details, read Using Graphics Processors to Accelerate Molecular Modeling Applications and Adapting a Message-Driven Parallel Application to GPU-Accelerated …
AI being used to improve the surgical precision of an autonomous robot
For the first time ever in medicine, a robot operated on a patient during a laparoscopic procedure without the assistance of a surgeon’s hand. An article in Science Robotics describes the development of an improved Smart Tissue Autonomous Robot (STAR) that was successful in completing a difficult task on a pig’s soft tissue. An important …
Simulation of a living cell by RTX A5000 A100 GPUs
Every live cell is a bustling microcosm with thousands of components that are responsible for energy production, protein synthesis, gene transcription, and other functions. Scientists at the University of Illinois at Urbana-Champaign have created a completely dynamic model that mimics the activity of a living cell by simulating these physical and chemical features at the …
Nvidia GeForce RTX 3090 Ti price specs performance
At the Consumer Electronics Show (CES) in early January, Nvidia unveiled its RTX 3090 Ti, which features faster memory and improved performance. Nvidia has remained silent on price and a release date for the RTX 3090 Ti despite first promising more information by the end of January. This time, the corporation is refusing to reveal …
How to improve streaming quality and reduce lag
GeForce NOW games are cloud-based, which means they operate on a server in a data center rather than on your Mac, PC, or Shield. Our most recent software includes a network test that instantly evaluates your network and assists you in optimizing it for cloud gaming. When you play a game for the first time, …
nvidia-smi Cheat Sheet
NVIDIA’s Tesla, Quadro, GRID, and GeForce devices from the Fermi and higher architecture families are all monitored and managed using nvidia-smi (also known as NVSMI). Most features are supported for GeForce Titan series devices, with very little information available for the rest of the Geforce line. NVSMI is a cross-platform program that works with all …