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90Y2338 IBM nVidia Tesla K10 8GB GDDR5 Computing Accelerator GK104 Kepler GPUs

SKU:

90Y2338

Weight: 3.00 lbs
Condition: Refurbished
  • Dual GK104 Kepler GPUs on a single board
  • 8GB GDDR5 memory for high-speed data processing
  • Designed for compute-intensive applications and parallel processing
  • Optimized for scientific simulations, financial modeling, and machine learning
In stock

$1,472.00
Product Overview

The IBM nVidia Tesla K10 combines two Kepler-based GPUs on a single accelerator card to tackle demanding compute tasks. It fits well into high-performance computing setups where parallel processing power is required for scientific calculations, simulations, and analytics.

General Information
Brand IBM
Part Number 90Y2338
Alternate Part Number 90Y2338-03-CT
Technical Information
Chipset Nvidia
GPU Clock 745 MHz
Bus Interface PCI Express 3.0 x16
Supported APIs DirectX 11, OpenGL: 4.5, OpenCL, CUDA, Shader Model: 5.1, DirectCompute
Output Interface None (compute accelerator, no display outputs)
Suggested PSU 600W
Power Connectors 2 x 6-pin PCIe
Memory
Memory Size 8GB
Interface GDDR5
Memory Bus 256-bit (per GPU)
Physical Characteristics
Slot Width Dual-slot
Weight 3.00
Condition Refurbished
Miscellaneous
Assembly Required Yes
Eco Friendly Yes
Compliance Standards WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL


Product Description

The IBM nVidia Tesla K10 is a powerful computing accelerator built for handling large-scale parallel workloads. It often finds its place in high-performance computing environments where rapid calculations and efficient processing are critical.

Commonly used in research labs, data centers, and engineering firms, this card benefits users who rely on GPU acceleration to speed up simulations, data analysis, and rendering tasks.

Key Features

  • Equipped with two GK104 Kepler GPUs to deliver strong parallel processing capabilities
  • 8GB of high-speed GDDR5 memory to manage large datasets efficiently
  • Supports CUDA for customizable and flexible compute solutions
  • Designed to reduce bottlenecks in compute-heavy applications
  • Compatible with a range of scientific and engineering software

These accelerators are typically deployed in clusters or workstations where massive computational throughput is necessary. They play a crucial role in accelerating workflows that would otherwise take much longer on traditional CPUs.


Use Cases

The 90Y2338 IBM nVidia Tesla K10 accelerator is suited for various high-demand computing scenarios where GPU acceleration significantly enhances performance.

How It's Used:

  • Accelerating scientific simulations and modeling tasks
  • Enhancing data analytics and machine learning workflows
  • Supporting high-throughput video rendering and processing
  • Boosting performance in financial risk modeling and analysis
  • Driving computational workloads in engineering and research applications

This accelerator is a key asset for professionals seeking to improve computational efficiency and throughput in demanding GPU-intensive tasks.


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90Y2338 IBM nVidia Tesla K10 8GB GDDR5 Computing Accelerator GK104 Kepler GPUs
90Y2338 IBM nVidia Tesla K10 8GB GDDR5 Computing Accelerator GK104 Kepler GPUs
$1,472.00