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NVIDIA Tesla K80 2 x Kepler GK210 900-22080-0000-000 24GB (12GB per GPU) 384-bit GDDR5 PCI Express 3.0 x16 GPU Accelerators for Servers
TESLA K80
4992 CUDA Cores
24GB GDDR5
PCI Express 3.0 x16
Brand
NVIDIA
Series
Tesla K80
Model
900-22080-0000-000
Interface
Interface
PCI Express 3.0 x16
Chipset
Chipset Manufacturer
NVIDIA
GPU
2 x Kepler GK210
Core Clock
560MHz Core - Boostable to 876MHz
CUDA Cores
4992 (2496 per GPU)
Memory
Memory Clock
10 GHz
Memory Size
24GB (12GB per GPU)
Memory Interface
384-bit
Memory Type
GDDR5
Details
Cooler
Passive Heatsink Cooling
Features
Features
Accelerate your most demanding data analytics and scientific computing applications with NVIDIA Tesla GPU Accelerators. Based on the NVIDIA Kepler Architecture, Tesla accelerators are designed to deliver faster, more efficient compute performance.
From energy exploration to machine learning, data scientists can crunch through petabytes of data with Tesla accelerators, up to 10x faster than with CPUs. For computational scientists, Tesla accelerators deliver the horsepower needed to run bigger simulations faster than ever.
Tesla K80 GPU Accelerator
A dual GPU board that combines 24 GB of memory with blazing fast memory bandwidth and up to 2.91 Tflops double precision performance with NVIDIA GPU Boost, the Tesla K80 GPU is designed for the most demanding computational tasks. It's ideal for single and double precision workloads that not only require leading compute performance but also demands high data throughput.
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)
Memory bandwidth (ECC off)**: 480 GB/sec (240 GB/sec per GPU)
**With ECC on, 6.25% of the GPU memory is used for ECC bits. For example, 6 GB total memory yields 5.25 GB of user available memory with ECC on.
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