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Workstation Graphics and HPC Solutions  

Exxact Corp - Professional Graphics, Consumer Graphics, GPU Computing, Visual Computing, Other Products


Accelerate your most demanding HPC and hyperscale data center workloads with NVIDIA® Tesla® GPU accelerators. Data scientists and researchers can now crunch through petabytes of data in order of magnitude faster than with traditional CPUs in applications ranging from energy exploration to deep learning. Plus, Tesla accelerators deliver the horsepower needed to run bigger simulations faster than ever before. For enterprises deploying VDI, Tesla accelerators are perfect for accelerating virtual desktops to any user, anywhere.


New GPU Architecture

Humanity's greatest challenges will require the most powerful computing engine for both computational and data science. With over 21 billion transistors, Volta is the most powerful GPU architecture the world has ever seen. It pairs NVIDIA® CUDA® and Tensor Cores to deliver the performance of an AI supercomputer in a GPU.

640 Tensor Cores

Every industry needs AI, and with this massive leap forward in speed, AI can now be applied to every industry. Equipped with 640 Tensor Cores, Volta delivers over 100 Teraflops per second (TFLOPS) of deep learning performance, over a 5X increase compared to prior generation NVIDIA Pascal™ architecture.

Volta-Optimized Software

Data scientists are often forced to make trade-offs between model accuracy and longer run-times. With Volta-optimized CUDA and NVIDIA Deep Learning SDK libraries like cuDNN, NCCL, and TensorRT, the industry's top frameworks and applications can easily tap into the power of Volta, propelling scientists and researchers towards discoveries faster than before.

Next Generation NVLINK

Volta uses next generation revolutionary NVIDIA NVLink™ high-speed interconnect technology. This delivers 2X the throughput, compared to the previous generation of NVLink. This enables more advanced model and data parallel approaches for strong scaling to achieve the absolute highest application performance.

TESLA Advantages
nvidia tesla deep learning performance
High Performance Computing
NVIDIA Tesla GPUs are the engine of the modern HPC data center, delivering breakthrough performance with fewer servers resulting in faster insights and dramatically lower costs.
AI-Accelerated Analytics
GPU-accelerated analytics and interactive visualization solutions, powered by NVIDIA DGX-1™, provide deeper insights, enable dynamic correlation, and deliver predictive outcomes with superhuman knowledge.
Virtual Desktop
NVIDIA GRID™ brings the power of NVIDIA GPUs to virtual desktops, applications, and workstations. GRID offers an immersive, high-quality user experience for everyone, from office workers to mobile professionals to designers.
Deep Learning / AI
Preventing disease. Building smart cities. Revolutionizing analytics. These are just a few things happening today with AI and, specifically, deep learning. Deep learning was only a theory until recently when teams around the world started using NVIDIA GPUs. Organizations are already using deep learning to transform moonshots into real results.
AI-Enabled Cloud
Optimized for the Demands of Deep Learning. NVIDIA GPU Cloud is an accelerated cloud platform that gives you access to a catalog of integrated and optimized containers for deep learning frameworks. You can also choose from one of the leading cloud service providers for access to high-performance GPU cloud computing.
Computational Chemistry
Compared to CPUs, GPUs run common molecular dynamics, quantum chemistry, visualization, and docking applications more than 5 times faster. Applications such as AMBER MD, Schrodinger MD, and GROMACS have already adopted GPUs for accelerated computing.
  Number of GPUs Number of CUDA Cores Memory Size (GDDR5) Memory Bandwidth (ECC off) Architecture Features Peak Double precision Floating Point Peak Single Precision Floating Point System
NVIDIA Tesla P100 for PCIe 1x GP100 3584 12GB or 16GB 540 or 720 GBytes/sec Extreme performance, NVLink (SXM2 only), HBM2, Unified Memory and Compute Preemption, 16nm FinFET 4.7 teraflops 9.3 teraflops Servers and Workstations
NVIDIA Tesla P100 for SXM2 1x GP100 3584 16GB 720 GBytes/sec 5.3 teraflops 10.6 teraflops Servers
NVIDIA Tesla P40 1 x GP102 3840 24GB 346 GBytes/sec Real-Time Inference, 47 TOP/s of INT8 47 TOPs of INT8 performance 12 teraflops Servers
NVIDIA Tesla P4 1 x GP104 2560 8GB 192 GBytes/sec Real-Time Inference, 22 TOP/s of INT8 22 TOPs of INT8 performance 5.5 teraflops Servers
NVIDIA Tesla M60 2 x GM205 4096 16GB 320 GBytes/sec SMX, Dynamic Parallelism, Hyper-Q 0.3 teraflops 9.7 teraflops Servers
NVIDIA Tesla M40 1 x GM200 3072 12GB / 24GB 288 GBytes/sec SMM, Dynamic Parallelism 0.21 teraflops 7.0 teraflops Servers and Workstations
NVIDIA Tesla M4 1 x GM206 1024 4GB 88 GBytes/sec 0.07 teraflops 2.20 teraflops Servers and Workstation
NVIDIA Tesla K80 2 x GK210 4992 24GB 480 Gbytes/sec SMX, Dynamic
1.87 teraflops 5.60 teraflops Servers
NVIDIA Tesla K40 1 x GK110B 2800 12GB 288 Gbytes/sec 1.43 teraflops 4.29 teraflops Servers and Workstations
NVIDIA Tesla K20X 1 x GK110 2688 6GB 250 GBytes/sec 1.31 teraflops 3.95 teraflops Servers only
NVIDIA Tesla K20 1 x GK110 2496 5GB 208 GBytes/sec 1.17 teraflops 3.52 teraflops Servers and Workstations
NVIDIA Tesla K10 2 x GK104s 2x 1536 8GB 320 GBytes/sec SMX 0.19 teraflops 3.95 teraflops Servers