NVIDIA Tesla K80 24GB GDDR5 GPU Accelerator Graphics Card 490-BCKM 900-22080-000 For Sale
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NVIDIA Tesla K80 24GB GDDR5 GPU Accelerator Graphics Card 490-BCKM 900-22080-000:
$43.49
NVIDIA Tesla Referral K80 24GB GDDR5 GPU Accelerator Graphics Card - 490-BCKMExperience 10x faster application performance:Accelerate your most demanding single and double precision workloads in scientificcomputing, seismic processing, and data analytics applications by upgrading to the NVIDIATesla Referral K80 dual-GPU accelerator. It delivers up to 2.2x faster performance than the Tesla Referral K20X,up to 2.5x faster performance than the Tesla Referral K10, and up to 10x faster performance than CPUson real-world applications.The Tesla Referral K80 features:> Up to 2.91 Teraflops of double precision performance with NVIDIA GPU Boost™> Up to 8.74 Teraflops of single precision performance with NVIDIA GPU Boost> 24 GB of GDDR5 memory (12 GB per GPU)> 480 GB/sec memory bandwidth per board> 2x application throughput with the two onboard GPUsAs the latest addition to the Tesla Referral Accelerated Computing Platform, the Tesla Referral K80 leverages arich software, hardware, and support eco-system to accelerate the most demanding workloadsin the datacenter.The Tesla Referral K80 accelerator delivers more than 2x application speed-up compared to the previous generation of accelerators, and up to 10x faster performance compared to CPUs. With exclusive features like 24 GB of GDDR5 memory, 480 GB/s memory bandwidth, and improved GPU Boost technology, the Tesla Referral K80 delivers the computational horsepower that allows you to crunch through petabytes of data and run simulations faster than ever before.Brand:NVIDIAPart Number: 900-22080-0000-000-withoutbracketMPN: 900-22080-0000-000, S26361-F2222-L81Type:Graphics CardChipset Manufacturer: NVIDIAChipset/GPU Model: NVIDIA Tesla Referral K80Memory Size: 24 GBMemory Type: GDDR5Boost Clock Speed: 875 MHzBase Clock Speed:560 MHzMemory Speed:10 GHz (Effective)Memory Interface Width: 384-BitMemory Bandwidth: 480 GB/sAPIs:CUDA, DirectX 12, Direct3D, Vulkan, MantleFeatures:Multiple Monitor Support, G-SYNC/FreeSync Compatible, SLI/CrossFire ReadyConnectors: Component, DVI, Composite (RCA), DisplayPort, D-SubMax Power Consumption: 300 WCompatible Slot:PCI Express 3.0 x16PCI Power Connectors:1 x 8-PinStream Processors:4992 CUDA CoresK80 Features:GPU Boost:Dynamically scales clocks, based on characteristics of the workload, for maximum application performance. This ensures that each application runs at the highest clocks while remaining within the power and thermal envelope.Double shared memory and register file:Increase effective bandwidth with 2x shared memory and 2x register file compared to the Tesla Referral K20X and K10Zero-power Idle:Increase data center energy efficiency by powering down idle GPUs when running legacy non-accelerated workloadsMulti-GPU Hyper-Q:Efficiently and easily schedule MPI ranks across GPUs, increasing GPU utilization and ease of programming.System Monitoring:Manage GPU processors in computing systems with widely used cluster/Grid solutionsMemory Protection:Error Correcting Codes (ECC) memory protection for both internal memories and external GDDR5 DRAM meets a critical requirement for computing accuracy and reliability in supercomputing and data centers. Item will be shipped exactly as shown in picture. NVIDIA Tesla Referral K80 24GB GDDR5 GPU Accelerator Graphics Card - 490-BCKMExperience 10x faster application performance:Accelerate your most demanding single and double precision workloads in scientificcomputing, seismic processing, and data analytics applications by upgrading to the NVIDIATesla Referral K80 dual-GPU accelerator. It delivers up to 2.2x faster performance than the Tesla Referral K20X,up to 2.5x faster performance than the Tesla Referral K10, and up to 10x faster performance than CPUson real-world applications.
The Tesla Referral K80 features:> Up to 2.91 Teraflops of double precision performance with NVIDIA GPU Boost™> Up to 8.74 Teraflops of single precision performance with NVIDIA GPU Boost> 24 GB of GDDR5 memory (12 GB per GPU)> 480 GB/sec memory bandwidth per board> 2x application throughput with the two onboard GPUs
As the latest addition to the Tesla Referral Accelerated Computing Platform, the Tesla Referral K80 leverages arich software, hardware, and support eco-system to accelerate the most demanding workloadsin the datacenter.
The Tesla Referral K80 accelerator delivers more than 2x application speed-up compared to the previous generation of accelerators, and up to 10x faster performance compared to CPUs. With exclusive features like 24 GB of GDDR5 memory, 480 GB/s memory bandwidth, and improved GPU Boost technology, the Tesla Referral K80 delivers the computational horsepower that allows you to crunch through petabytes of data and run simulations faster than ever before.
Brand:NVIDIAPart Number: 900-22080-0000-000-withoutbracketMPN: 900-22080-0000-000, S26361-F2222-L81Type:Graphics CardChipset Manufacturer: NVIDIAChipset/GPU Model: NVIDIA Tesla Referral K80Memory Size: 24 GBMemory Type: GDDR5Boost Clock Speed: 875 MHzBase Clock Speed:560 MHzMemory Speed:10 GHz (Effective)Memory Interface Width: 384-BitMemory Bandwidth: 480 GB/sAPIs:CUDA, DirectX 12, Direct3D, Vulkan, MantleFeatures:Multiple Monitor Support, G-SYNC/FreeSync Compatible, SLI/CrossFire ReadyConnectors: Component, DVI, Composite (RCA), DisplayPort, D-SubMax Power Consumption: 300 WCompatible Slot:PCI Express 3.0 x16PCI Power Connectors:1 x 8-PinStream Processors:4992 CUDA Cores
K80 Features:GPU Boost:Dynamically scales clocks, based on characteristics of the workload, for maximum application performance. This ensures that each application runs at the highest clocks while remaining within the power and thermal envelope.
Double shared memory and register file:Increase effective bandwidth with 2x shared memory and 2x register file compared to the Tesla Referral K20X and K10
Zero-power Idle:Increase data center energy efficiency by powering down idle GPUs when running legacy non-accelerated workloads
Multi-GPU Hyper-Q:Efficiently and easily schedule MPI ranks across GPUs, increasing GPU utilization and ease of programming.
System Monitoring:Manage GPU processors in computing systems with widely used cluster/Grid solutions
Memory Protection:Error Correcting Codes (ECC) memory protection for both internal memories and external GDDR5 DRAM meets a critical requirement for computing accuracy and reliability in supercomputing and data centers. Item will be shipped exactly as shown in picture.
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