Name: Nvidia Vgx K2
Brand: IBM
Price: 649.95 USD
Availability: InStock

IBM 00J6161 Nvidia Vgx K2

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$649.95

Ships from outside of the USA. Please allow up to 2 weeks for delivery.

In Stock: 28
Manufacturer: IBM
Model or Part: 00J6161
Condition: New
Weight: 2.20lb
Dimensions: 5.91in x 3.94in x 1.97in

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Description

Overview

The IBM 00J6161 Nvidia Vgx K2 is a high-performance accelerator card designed for demanding compute and graphics workloads in enterprise environments. Built on the latest Nvidia architecture, this module delivers exceptional throughput for AI inference, deep learning training, scientific simulation, and real-time rendering. Its compact form factor integrates seamlessly into IBM Power Systems and compatible server platforms, providing a powerful boost without sacrificing reliability.

Key Features

Advanced Nvidia GPU cores optimized for parallel processing
High memory bandwidth with GDDR6X technology
Supports PCIe Gen4 x16 interface for maximum data transfer rates
Integrated tensor cores accelerate AI and machine learning tasks
Enterprise-grade thermal management with dynamic fan control
Compatible with IBM Power9 and later server architectures

Technical Specifications

Model / Part Number: 00J6161
GPU Architecture: Nvidia Ampere based Vgx K2
CUDA Cores: 10752
Tensor Cores: 336
Graphics Memory: 24 GB GDDR6X
Memory Interface: 384-bit
Peak FP32 Performance: 35 TFLOPS
Peak Tensor Performance: 140 TFLOPS (FP16)
PCI Express: Gen4 x16
Power Consumption: 300 W typical
Operating Temperature Range: 0 to 85 degrees Celsius

Applications

Artificial intelligence inference and training workloads
High-performance computing (HPC) simulations and modelling
Real-time ray tracing and visual effects rendering
Data analytics platforms requiring accelerated matrix operations
Virtual desktop infrastructure (VDI) with GPU intensive sessions
Scientific research applications such as genomics, climate modeling, and fluid dynamics

The Nvidia Vgx K2 from IBM combines cutting edge graphics processing power with the reliability of IBM server ecosystems, making it an ideal choice for organizations that need to scale compute performance while maintaining operational stability.