Nvidia Tesla K80 24GB GDDR5 Server Graphics Card HP J0G95A 699-22080-0200-531 in BLACK-BRACKT

Overview: The NVIDIA Tesla K80 is a powerful server-grade GPU designed to accelerate the most demanding computational tasks in high-performance computing (HPC), deep learning, scientific simulations, and data analytics. With dual GK210 GPUs, each equipped with 12GB of GDDR5 memory for a total of 24GB, the K80 delivers exceptional performance, making it an ideal solution for data scientists, engineers, and researchers.

Key Features:

Dual GK210 GPUs: The K80 features two GK210 GPUs, each delivering incredible performance for parallel computing. With 2496 CUDA cores per GPU, the K80 offers 4992 CUDA cores in total, making it ideal for applications that require immense processing power.

Total Memory: Equipped with 24GB GDDR5 memory (12GB per GPU), the K80 ensures high-speed data access and bandwidth, enabling rapid processing of large datasets.

GPU Boost Technology: The Tesla K80 introduces dynamic GPU boost, allowing the GPUs to automatically adjust their clocks based on the thermal and power constraints, ensuring the highest performance while maximizing energy efficiency.

High Throughput for HPC: With 10x faster processing than CPUs, the Tesla K80 is designed for workloads in HPC clusters, deep learning models, data centers, and scientific simulations. The card accelerates embarrassingly parallel tasks and large-scale calculations, providing an effective solution for researchers and enterprises.

Efficient Data Transfer: The K80 uses GPU Direct RDMA for low-latency, high-bandwidth data transfer, enabling direct communication between GPUs and network adapters without involving the CPU, reducing data transfer overhead and increasing overall throughput.

CUDA and OpenACC Support: The Tesla K80 supports NVIDIA CUDA and OpenACC, enabling developers to take full advantage of parallel computing capabilities in various scientific and enterprise applications.

TDP: The K80 operates within a 300W power envelope, ensuring it delivers high performance while maintaining efficiency in server and data center environments.

Applications:

Machine Learning & AI: Ideal for training deep learning models and running machine learning algorithms.

Scientific Simulations: Accelerates simulations in fields like physics, chemistry, and bioinformatics.

Big Data & Analytics: Speeds up data analysis, especially in petabyte-scale datasets, providing insights faster than traditional CPU-based systems.

Energy Exploration: Optimized for the heavy computational tasks involved in energy simulations, exploration, and modeling.

Specifications

:

GPU Architecture: Kepler GK210

CUDA Cores: 4992 (2496 per GPU)

Memory: 24GB GDDR5 (12GB per GPU)

Memory Interface: 384-bit per GPU

Core Clock: 875 MHz

Boost Clock: Dynamic GPU Boost

Interface: PCIe 3.0 x16

Form Factor: Full-Height, Dual-Slot

TDP: 300W

Conclusion: The NVIDIA Tesla K80 is engineered for high-performance computing environments, offering unmatched power and efficiency for tasks that require massive parallel processing. With its dual GPUs, large memory, and support for cutting-edge technologies, the Tesla K80 is a cornerstone for building scalable, high-performance systems, ideal for scientific research, machine learning, and enterprise computing.