Cisco UCSX-GPUA100-80-D Price & Datasheet

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Product Model: UCSX-GPUA100-80-D

Retail Price: US$30,954.00

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Cisco UCSX-GPUA100-80-D is a high-performance graphics processing unit (GPU) designed for intensive computational tasks. Featuring the TESLA A100, this passive GPU with 80GB memory and a 300W power supply is ideal for AI training, high-performance computing (HPC), and data analytics. Engineers and data scientists will find it invaluable for enhancing computational capabilities and speeding up workloads.

Cisco UCSX-GPUA100-80-D Product Overview

  • ● High-performance TESLA A100 GPU
  • ● 80GB massive memory
  • ● 300W passive cooling
  • ● Optimized for AI and HPC
  • ● Ideal for data analytics

Product Comparison

Model GPU Memory Power Cooling Best For
Cisco UCSX-GPUA100-80-D TESLA A100 80GB 300W Passive AI, HPC
Nvidia A100 Ampere 40GB 250W Passive Data Analytics
AMD MI100 CDNA 32GB 300W Active Deep Learning
Cisco UCSX-GPU-2250 TESLA V100 32GB 250W Passive Big Data
Nvidia T4 Turing 16GB 70W Passive Inference
Intel PAC D5005 Arria 10 16GB 150W Active FPGA Workloads

Cisco UCSX-GPUA100-80-D Product Application Scenarios

  • ● AI Model Training
  • ● High-Performance Data Analytics
  • ● Scientific Computing Projects

Optional Add-ons

Model Description
Cisco UCSX-PWR-CAB Power Cable for UCSX-GPUA100-80-D
Cisco UCSX-FAN-001 Cooling Fan for Extended Usage
Cisco UCSX-RMC-01 Rack Mount Kit for UCS Server

Get More Information

Discover unbeatable prices and fast shipping for the Cisco UCSX-GPUA100-80-D. Access the detailed UCSX-GPUA100-80-D datasheet and ensure you’re getting the best deal with our reliable delivery service. Need assistance? Our free live chat support is here to help. For more information about the product and pricing, contact us via live chat or email us at [email protected].

Specification

UCSX-GPUA100-80-D Datasheet

UCSX-GPUA100-80-D Manual

Brand Cisco
Model UCSX-GPUA100-80-D
GPU Tesla A100
Cooling Type Passive
Power Consumption 300W
Memory 80GB
Power Cable wPWR CBL
Memory Type HBM2
Memory Bandwidth 2.0 TB/s
Interface PCI Express 4.0
Number of CUDA Cores 6,912
Tensor Cores 432
Precision Types Supported TF32, FP16, INT8, INT4
Form Factor Full Height/Full Length
Maximum Temperature 85??C
Reliability Features ECC Memory
Compute Compatibility Compute Capability 8.0
Max Power Limit 400W
Peak FP64 (double precision) Performance 9.7 TFLOPS
Peak FP32 (single precision) Performance 19.5 TFLOPS

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