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 Data Sheet 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 Single Precision Performance 7.1 Tflops
Number Of Accelerators Per Card 1
Cores 2304
Memory Size Per Board 8 Gb Gddr6
Memory Bandwidth For Board 416 Gb/s
Architecture Features Real-time Ray Tracing Accelerated By Up To 25x That Of The Previous P6000. Features Tensor Cores That Accelerate Dl Training And Inferencing. Faster Simulation And Rasterization With Turing Streaming Multiprocessor.
System Compatible With HPE Proliant Dl360 Gen10, Dl380 Gen10 And Ml350 Gen10 Servers
Product Dimensions (metric) 3.48 X 26.7 X 11.1 Cm
Weight 1.41 Kg
Condition : Brand New.
Availability : Call.
Lead Time : Eta 2-3 Weeks - No Cancel No Return (ncnr)
Our Warranty : 90 Days
