Nvidia Tesla K80 GPU

Overview

The Nvidia Tesla K80 is a high-performance GPU designed for large-scale computational tasks, including machine learning, scientific computing, and data analytics. Equipped with dual GK210 GPUs, the Tesla K80 is built to deliver exceptional parallel processing power, making it ideal for data centers, research institutions, and enterprises handling complex workloads.

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Key Features

1. Dual-GPU Architecture
   • Two GK210 GPUs on a single board, delivering impressive performance for parallel computing tasks.
2. High Memory Capacity
   • 24GB GDDR5 memory (12GB per GPU) with ECC support ensures reliable and error-free computations for critical applications.
3. Extreme Performance
   • Peak double-precision (DP) floating-point performance of 2.91 TFLOPS and single-precision (SP) performance of 8.73 TFLOPS.
4. PCIe 3.0 Support
   • High-speed PCI Express 3.0 interface for seamless integration into data center and workstation environments.
5. GPU Boost Technology
   • Dynamically adjusts clock speeds to deliver optimal performance based on workload.
6. ECC Memory
   • Error-correcting code memory ensures data integrity, critical for simulations, financial modeling, and scientific research.

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Specifications

Feature	Details
Model	Nvidia Tesla K80
GPU Architecture	Kepler
Number of GPUs	2 x GK210
CUDA Cores	4992 (2496 per GPU)
Memory	24GB GDDR5 (12GB per GPU)
Memory Bandwidth	480GB/s
Interface	PCI Express 3.0 x16
Double-Precision	2.91 TFLOPS
Single-Precision	8.73 TFLOPS
Power Consumption	300W
Cooling Solution	Passive (requires server airflow)
Form Factor	Dual-slot
Thermal Design Power (TDP)	300W
API Support	CUDA, OpenCL

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Applications

1. Machine Learning and AI
   • Ideal for training large-scale models and accelerating inference tasks.
2. Scientific Computing
   • Used in simulations, physics, chemistry, and molecular modeling for accurate and fast computations.
3. Data Analytics
   • Accelerates big data processing, enabling faster insights from datasets.
4. Video Encoding
   • Capable of handling high-resolution video processing and transcoding tasks efficiently.
5. Cloud Computing
   • Popular in GPU cloud servers for high-performance computing (HPC).

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Compatibility

• Compatible with most modern Linux and Windows operating systems.
• Requires a server or workstation with adequate airflow and a 300W power budget.
• Supported by Nvidia CUDA Toolkit and libraries for optimized development.

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Advantages

1. High Parallel Computing Power
   • Dual GPUs and 4992 CUDA cores ensure fast and efficient processing of massive workloads.
2. ECC Memory
   • Provides data reliability essential for mission-critical applications.
3. Scalability
   • Easily scalable in multi-GPU configurations for larger computational needs.
4. Versatility
   • Supports a wide range of scientific, AI, and data analytics applications.

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Specifications Recap

Feature	Details
Memory	24GB GDDR5
CUDA Cores	4992
Peak Performance	2.91 TFLOPS (DP), 8.73 TFLOPS (SP)
Form Factor	Dual-slot
Power Usage	300W