Nvidia Tesla K80 Parallel Computing Platform Card - 24GB GDDR5 - 4992 CUDA Core

  • Accelerate your most demanding single and double precision workloads in scientific computing
  • seismic processing
  • and data analytics applications by upgrading to the NVIDIA Tesla K80 dual-GPU accelera
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Stock Code: GX-049-PN

EAN: 3536403344344


Manufacturer: PNY

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Product information:

Nvidia Tesla K80 Parallel Computing Platform Card - 24GB GDDR5 - 4992 CUDA Core

The Tesla 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 K80 delivers the computational horsepower that allows you to crunch through petabytes of data and run simulations faster than ever before.

Product Specifications

Memory Size 24GB GDDR5 (12 GB per GPU)
Memory Interface 384-bit
Memory Bandwidth (ECC off)) 480GB/s (per board)
240 GB/s (per GPU)
CUDA Cores 4992
System Interface PCI Express 3.0 x16
Processor core clock Base clock: 560 MHz
Boost clock: 562 - 875 MHz
Memory clock 2.5 GHz
Cache L1 and L2
Max. Consumption 300 W
Number of GPUs 2 × GK210
Energy Star Enabling Yes
Conformité Européenne (CE) Yes
Thermic Solution Passive
Format 111.150 mm (H) × 267 mm (L) - Dual Slot, Full-Height
Connectors 1 × 8-pin CPU power connectors
(2 x 8-pin PCIe to single 8-pin CPU adapter included)
Dynamic Parallelism Yes
Hyper-Q Yes
GPU Computing Applications Reservoir simulation
CAE (structural analysis)
Molecular dynamics, Numerical analytics
Computational visualization (ray tracing)
Peak double precision floating point performance 2.91 Tflops (GPU Boost Clocks)
1.87 Tflops (Base Clocks)
Peak single precision floating point performance 8.74 Tflops (GPU Boost Clocks)
5.6 Tflops (Base Clocks)
System Servers
Compatible with Windows 64-bit
Linux 64-bit
PNY Part Number TCSK80M-PB
Available extender brackets
Long Extender with Offset
Short Extender with Offset

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