NVIDIA A800 40GB Active

0

CUDA Cores

40GB

VRAM

1555

GB/s

Workstation
Updated April 21, 2026 • 2026 Edition
A800 40GB Active GPU Specifications

Technical Specifications

0

CUDA Cores

1410

Base MHz

1410

Boost MHz

40GB HBM2

5120-bit bus

Performance

40

FP32 TFLOPS

80

FP16 TFLOPS

240W

TDP

Cloud Availability

0

Available Instances

$0.00/hr

Starting Price

Detailed Specifications

Architecture Ampere (Unknown)
Release Date 2022-08-01
Launch Price $8,000.00
Process 7nm
Transistors 54.2 Billion

AI Features

Gen 3

Tensor Cores

Disabled

Transformer Engine

Not Supported

Flash Attention

Physical Specifications

Additional Specifications

dual-slot

Form Factor

About A800 40GB Active GPU

The NVIDIA A800 40GB Active is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 40GB of VRAM and 0 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.

Released in 2022, the A800 40GB Active features Ampere architecture with advanced AI accelerators including Tensor Cores and Transformer Engine support. This makes it ideal for large language models, computer vision tasks, and generative AI applications.

When considering cloud rental options for the A800 40GB Active, pricing starts at $0.00/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 1555 GB/s enabling fast data transfer for large datasets.

The A800 40GB Active supports the latest CUDA compute capabilities and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 7nm manufacturing process ensures efficient power consumption relative to performance output.

External Resources

Learn more about GPUs from these authoritative sources:

NVIDIA CUDA Documentation →

Official CUDA programming guide

NVIDIA GPU Specifications →

Official NVIDIA GPU specs

TechPowerUp GPU Database →

Comprehensive GPU specifications

CUDA Compute Capability Guide →

GPU compute capability reference

Top GPUs for Training and Inference

Category Rank 1 Rank 2 Rank 3
Best for Training NVIDIA H200 NVIDIA H100 NVIDIA B200
Best for Inference NVIDIA A40 NVIDIA A100 NVIDIA A10

Compare GPU specifications and cloud instances to find the best GPU for your workload.