CUDA Cores
VRAM
GB/s
0
CUDA Cores
1410
Base MHz
1410
Boost MHz
40GB HBM2
5120-bit bus
40
FP32 TFLOPS
80
FP16 TFLOPS
240W
TDP
0
Available Instances
$0.00/hr
Starting Price
| Architecture | Ampere (Unknown) |
| Release Date | 2022-08-01 |
| Launch Price | $8,000.00 |
| Process | 7nm |
| Transistors | 54.2 Billion |
Gen 3
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
dual-slot
Form Factor
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.
Learn more about GPUs from these authoritative sources:
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
| 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.