NVIDIA® Graphic Cards

High performance computing is one of the most essential tools fueling the advancement of computational science. And the universe of scientific computing has expanded in all directions. From weather forecasting and energy exploration, to computational fluid dynamics and life sciences, researchers are fusing traditional simulations with artificial intelligence, machine learning, deep learning, big data analytics, and edge-computing to solve the mysteries of the world around us.

HPC Across Industries

NVIDIA® GPUs are optimizing over 700 applications across a broad range of industries and domains : Supercomputing, Healthcare & Life Sciences, Energy, Public Sector…

Data Center-Scale Performance

In order to handle the ever-growing demands for higher computational performance driven by increased scientific problem complexity, NVIDIA® is creating the next-generation accelerated data center platform.

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Ampere Quadro A40 Dubai AI

NVIDIA® A40 – The World’s Most Powerful Data Center GPU for Visual Computing

The NVIDIA A40 GPU is an evolutionary leap in performance and multi-workload capabilities from the data center, combining best-in-class professional graphics with powerful compute and AI acceleration to meet today’s design, creative, and scientific challenges. Driving the next generation of virtual workstations and server-based workloads, NVIDIA A40 brings state-of-the-art features for ray-traced rendering, simulation, virtual production, and more to professionals anytime, anywhere.

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Ampere Quadro A40 Dubai AI

NVIDIA A30 Tensor Core GPU

NVIDIA A30 Tensor Core GPU is the most versatile mainstream compute GPU for AI inference and mainstream enterprise workloads. Powered by NVIDIA Ampere architecture Tensor Core technology, it supports a broad range of math precisions, providing a single accelerator to speed up every workload. Built for AI inference at scale, the same compute resource can rapidly re-train AI models with TF32, as well as accelerate high-performance computing (HPC) applications using FP64 Tensor Cores. Multi-Instance GPU (MIG) and FP64 Tensor Cores combine with fast 933 gigabytes per second (GB/s) of memory bandwidth in a low 165W power envelope, all running on a PCIe card optimal for mainstream servers.

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Ampere Quadro A40 Dubai AI

NVIDIA A2 Versatile Entry-Level Inference

The NVIDIA A2 Tensor Core GPU provides entry-level inference with low power, a small footprint, and high performance for NVIDIA AI at the edge. Featuring a low-profile PCIe Gen4 card and a low 40-60 watt (W) configurable thermal design power (TDP) capability, the A2 brings adaptable inference acceleration to any server. A2’s versatility, compact size, and low power exceed the demands for edge deployments at scale, instantly upgrading existing entry level CPU servers to handle inference.

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Ampere Quadro A40 Dubai AI

NVIDIA A16 Tensor Core GPU

Take remote work to the next level with NVIDIA A16, the ideal GPU for high-density, graphics rich VDI. Based on the latest NVIDIA Ampere architecture, A16 is purpose-built to achieve the highest user density, with up to 64 concurrent users per board in a dual slot form factor. Combined with NVIDIA Virtual PC (vPC) software, it enables the power and performance to tackle any project from anywhere. Based on the NVIDIA Ampere architecture, A16 provides double the user density versus the previous generation, while ensuring the best possible user experience.

Designed to meet the demands of the next generation of remote work, NVIDIA A16 has 4x the encoder throughput versus NVIDIA T4 to provide the best user experience, and flexibly supports heterogeneous user profiles on a single board

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NVIDIA A16 Graphic Card

NVIDIA® Tesla A100

The NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale for AI, data analytics, and HPC to tackle the world’s toughest computing challenges. As the engine of the NVIDIA data center platform, A100 can efficiently scale up to thousands of GPUs or, using new Multi-Instance GPU (MIG) technology, can be partitioned into seven isolated GPU instances to accelerate workloads of all sizes. A100’s third-generation Tensor Core technology now accelerates more levels of precision for diverse workloads, speeding time to insight as well as time to market.

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Nvidia HPC TeslaA100