NVIDIA Tesla Servers | NVIDIA GPU Server

Exxact Servers Featuring NVIDIA® Tesla® GPUs

Accelerate your most demanding HPC and hyperscale data center workloads with NVIDIA Tesla GPU Servers. Data scientists and researchers can now parse petabytes of data orders of magnitude faster than they could using traditional CPUs, in applications ranging from energy exploration to deep learning. Tesla accelerators also deliver the horsepower needed to run bigger simulations faster than ever before. Plus, Tesla delivers the highest performance and user density for virtual desktops, applications, and workstations.

NVIDIA ELITE PARTNER

Exxact Corporation works closely with the NVIDIA team to ensure seamless factory development and support.

SCALABILITY

Offering a wide range of customizable options of NVIDIA Tesla Servers to meet your budget.

PLUG AND PLAY

Exxact systems are fully turnkey, built to perform right out of the box so you avoid the drudgery of configuration and setup.

HIGH PERFORMANCE

Volta Architecture comes in 16 and 32GB configurations, offering the performance of up to 100 CPUs in a single GPU.

PREINSTALLED TOOLS

Exxact can preinstall, configure, and integrate a wide variety of software tools for any NVIDIA Tesla Accelerated Workload.

ACCELERATE YOUR HPC

Have peace of mind, focus on what matters most, knowing your system is backed by a 3 year warranty and support.

NVIDIA Tesla V100

NVIDIA Tesla V100 powered by NVIDIA Volta™ architecture is the computational engine for scientific computing and artificial intelligence. It is engineered for the convergence of AI and HPC. The Tesla V100 offers a platform for HPC systems to excel at both computational science for scientific simulation and data science for finding insights in data. By pairing NVIDIA CUDA® cores and Tensor Cores within a unified architecture, a single server with Tesla V100 GPUs can replace hundreds of commodity CPU-only servers for both traditional HPC and AI workloads. Every researcher and engineer can now afford an AI supercomputer to tackle their most challenging work.

1 GPU Node Replaces Up to 54 CPU Nodes

CPU Server: Dual Xeon Gold 6140@2.30GHz, GPU Servers: same CPU server w/ 4x V100 PCIe | CUDA Version: CUDA 9.x | Dataset: NAMD (STMV), GTC (mpi#proc.in), MILC (APEX Medium), SPECFEM3D (four_material_simple_model) | To arrive at CPU node equivalence, benchmark measured with w/ up to 8 CPU nodes, the linear scaling used to scale up to 8 nodes.

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NVIDIA TESLA GPU SERVERS