Name: Tesla K80 24GB GDDR5 384-Bit PCl-Express 3.0
Brand: NVIDIA
Price: 109.95 USD
Availability: InStock

NVIDIA 699-22080-0200-511 Tesla K80 24GB GDDR5 384-Bit PCl-Express 3.0

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$109.95

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In Stock: 7
Manufacturer: NVIDIA
Model or Part: 699-22080-0200-511
Condition: Refurbished
Weight: 3.00lb

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Item Condition

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Description

Overview

The NVIDIA Tesla K80 is a dual-GPU accelerator built for scientific computing, deep learning and large scale data analytics. Featuring two GK210 GPUs on a single board, the K80 delivers massive parallel processing power while maintaining energy efficiency through advanced power management. With 24GB of GDDR5 memory and a 384-bit memory interface, it provides ample bandwidth for complex simulations and AI training workloads.

Key Features

Dual GK210 GPUs delivering up to 8.73 teraflops of double precision performance
24GB GDDR5 memory (12GB per GPU) with a total bandwidth of 480 GB/s
384-bit memory bus for high data throughput
PCI Express 3.0 x16 interface for fast host communication
Hardware ECC support to protect data integrity in mission critical applications
Optimized drivers and libraries for CUDA, OpenCL and deep learning frameworks

Technical Specifications

Model/Part Number: 699-22080-0200-511
GPU Architecture: Kepler GK210
CUDA Cores: 4,992 (2,496 per GPU)
Memory Capacity: 24 GB GDDR5 (12 GB per GPU)
Memory Speed: 5.0 Gbps
Memory Interface Width: 384 bits
Peak Double Precision Performance: 8.73 TFLOPS
PCI Express Version: 3.0 x16
TDP: 300 watts (150 watts per GPU)
Form Factor: Full height, double slot

Applications

High performance scientific simulations such as fluid dynamics and molecular modeling
Deep learning training for neural networks using frameworks like TensorFlow and PyTorch
Big data analytics and in-memory processing workloads
Computer aided engineering (CAE) and finite element analysis
Financial modelling, risk analysis and Monte Carlo simulations
Image and video rendering pipelines that require massive parallel compute resources

The Tesla K80 combines raw computational horsepower with robust memory capacity, making it an ideal choice for researchers, data scientists and engineers who need to accelerate demanding workloads without compromising accuracy or reliability.