Name: 0575TK Dell Tesla A100 80GB HBM2E 5120-Bit GPU Accelerator
Brand: Dell
SKU: 0575TK
Price: 19550.00 USD
Availability: InStock
Rating: 4.8 (119 reviews)

Product Overview
The Dell Tesla A100 80GB HBM2E video graphics card delivers high-memory throughput and processing power tailored for AI research and high-performance computing. It fits into server and data center setups that require fast, reliable GPU acceleration for complex workloads.

General Information
Brand	Dell
Part Number	0575TK

Technical Information
Chipset	Nvidia
Bus Interface	PCIe 4.0 x16
Supported APIs	DirectX 12, OpenCL, CUDA, DirectCompute
Output Interface	None (accelerator - no display outputs)

Memory
Memory Bus	5120-bit

Physical Characteristics
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 Dell Tesla A100 80GB HBM2E graphics card is built to handle demanding computational tasks. It offers massive memory capacity and high throughput, making it well-suited for deep learning training, scientific simulations, and data analytics. IT professionals and researchers often find it essential for accelerating AI models and complex calculations. Key Features High-capacity 80GB HBM2E memory enables handling large datasets efficiently 5120-bit memory bus enhances data transfer rates for smoother processing Incorporates third-generation Tensor Cores optimized for AI workloads Supports multi-instance GPU functionality to maximize resource utilization Robust power and cooling design to maintain performance under heavy usage This card is typically deployed in data centers, research labs, and enterprise environments where intensive parallel processing is required. It plays a crucial role in shortening AI training times and supporting large-scale simulations, providing users with reliable computational power.

Use Cases
The Dell Tesla A100 80GB HBM2E GPU accelerator is primarily deployed in high-density server environments and data centers where advanced AI, machine learning, and high-performance computing tasks demand substantial memory bandwidth and processing throughput. It benefits organizations managing complex simulations, large-scale data analytics, or deep learning workloads requiring scalable GPU resources. How It's Used: Accelerating training and inference in enterprise AI research labs dealing with large neural networks. Enhancing computational fluid dynamics and molecular modeling in HPC clusters for scientific institutions. Supporting real-time data processing and analytics in cloud service providers' virtualized environments. Driving advanced video rendering and post-production pipelines within media and entertainment studios. Facilitating large-scale graph analytics and recommendation engines in e-commerce platforms' backend systems. This GPU accelerator contributes to operational efficiency by delivering consistent high throughput and memory capacity, enabling workloads to scale without bottlenecks. It integrates well into rack-mounted servers, helping IT teams optimize resource allocation while maintaining performance in demanding computational scenarios.

0575TK Dell Tesla A100 80GB HBM2E 5120-Bit GPU Accelerator

Product Overview

General Information

Technical Information

Memory

Physical Characteristics

Miscellaneous

Product Description

Use Cases