The NVIDIA Tesla K80 is a high-performance GPU accelerator designed for data centers, scientific computing, and machine learning applications. Featuring 24GB of GDDR5 memory, it provides substantial computational power and memory bandwidth to handle large-scale data processing tasks.
Key Features:
Dual-GPU Architecture: The Tesla K80 incorporates two Kepler-based GPUs (GK210), delivering up to 8,985 CUDA cores in total, enabling simultaneous processing for more efficient parallel computation.
Memory: Equipped with 24GB of GDDR5 memory (12GB per GPU), the K80 offers high memory bandwidth and capacity to manage large datasets, ideal for memory-intensive workloads like deep learning, simulation, and big data analytics.
High Throughput: With a memory bandwidth of up to 480 GB/s, the K80 delivers exceptional performance for computationally demanding applications such as scientific research, high-performance computing (HPC), and machine learning.
CUDA Cores & Performance: The Tesla K80 supports NVIDIA CUDA for accelerated computing tasks. It provides double-precision floating-point (FP64) performance of 2.91 teraflops, making it suitable for highly parallel computations such as simulations and scientific calculations.
Power Efficiency: The K80 utilizes NVIDIA’s GPU Boost technology to automatically adjust power and performance for optimal efficiency, reducing energy consumption during less-demanding workloads.
GPU Direct & ECC Memory: With GPU Direct support, the K80 enables high-bandwidth, low-latency communication between GPUs and other hardware, while Error-Correcting Code (ECC) memory ensures data integrity during computation-intensive tasks.
Use Cases:
Machine Learning & Deep Learning: Ideal for training deep neural networks and running large-scale AI models, thanks to its large memory capacity and high computational throughput.
High-Performance Computing (HPC): Widely used in scientific simulations, weather forecasting, and research environments that require massive parallel processing.
Data Analytics: The K80 is suitable for handling big data workloads, such as data mining and real-time analytics, where quick processing of large datasets is crucial.
Specifications:
GPU Architecture: Kepler (GK210)
CUDA Cores: 4,992 (per GPU)
Memory: 24GB GDDR5 (12GB per GPU)
Memory Bandwidth: 480 GB/s
Double Precision (FP64): 2.91 TFLOPS
Single Precision (FP32): 8.74 TFLOPS
Peak Performance: 8.74 TFLOPS (single precision)
Overall, the NVIDIA Tesla K80 24GB offers a potent blend of performance, memory capacity, and power efficiency, making it an ideal solution for demanding computational tasks in enterprise and research environments.
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