HPE P05470-001 NVIDIA Tesla V100 PCIe 32GB Computational Accelerator

HPE P05470-001 Nvidia Tesla V100 Pcie 32gb Computational Accelerator

Overview Do You Require Higher Performance Computation For Deep Learning, High-performance Computing (hpc) Workloads, Or Graphics? Companies Are Facing Greater Computational And Graphics Requirements As Large And Complex Computational Models Become More Commonplace. Traditional Cpu Technology Is No Longer Able To Keep Up With These Increasing Demands. Nvidia Accelerators For HPE Proliant Servers Seamlessly Integrate Gpu Computing With Select HPE Server Families. Designed For Power-efficient, High-performance Supercomputing, Nvidia Accelerators Deliver Dramatically Higher Application Acceleration Than A Cpu-only Approach For A Range Of Deep Learning, Scientific, And Commercial Applications. The Thousands Of Nvidia Cuda Cores Of Each Accelerator Allow It To Divide Large Computing Or Graphics Tasks Into Thousands Of Smaller Tasks That Can Be Run Concurrently, Thus Enabling Much Faster Simulations And Improved Graphics
fidelity For Extremely Demanding 3d Models.

Features

Increased Performance To Solve Problems Faster
The Nvidia Accelerators For HPE Proliant Servers Improve Computational Performance, Dramatically Reducing The Completion Time For Parallel Tasks, Offering Quicker Time To Solutions. Co-locating The Nvidia Quadro Or Nvidia Grid Gpus With Computational Servers, Large Data Sets Can Be Shared, Dramatically Improving Display Refresh Rates.

These Gpus Are Specifically Designed To Enable Rich Graphics In Virtualized Environments. Hewlett Packard Enterprise Can Satisfy Nvidia Grid Software Via HPE Complete.

Nvidia Accelerators Can Be Configured And Monitored By HPE Insight Cluster Management Utility (cmu). HPE Insight Cmu Monitors And Displays Gpu Health
and Temperature, As Well As Installs And Provisions The Gpu Drivers And Cuda Software.

Technical Specifications

Peak Double Precision Floating Point Performance 7 Tflops

Peak Single Precision Floating Point Performance 14 Tflops

Number Of Accelerators Per Card 1

Cores 5120

Memory Size Per Board 32 Gb Hbm2

Memory Bandwidth For Board 900 Gb/s

Accelerator Applications Deep Learning Training, Memory Capacity-bound Hpc, Compute Bound Hpc

Architecture Features Nvidia Tesla V100 32gb Doubles The Gpu Memory To Improve Performance For Ai Training, Hpc,
database, And Graphic Analytics Workloads While Reducing Costs And Complexity.

System Compatible With HPE Proliant Xl270d Gen10 Server

Condition: New Factory Sealed.
Availability: Call.
Our Warranty: 90 Days.