NVIDIA A6000
10,752
CUDA Cores
48GB
VRAM
768
GB/s
Technical Specifications
10,752
CUDA Cores
1410
Base MHz
1800
Boost MHz
48GB GDDR6
384-bit bus
Performance
38.7
FP32 TFLOPS
77.4
FP16 TFLOPS
300W
TDP
Cloud Availability
4
Available Instances
$0.47/hr
Starting Price
Detailed Specifications
| Architecture | Ampere (Unknown) |
| Release Date | 2021-03-01 |
| Launch Price | $4,650.00 |
| Process | 8nm |
| Transistors | 28.3B |
AI Features
Gen 3
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
Physical Specifications
Dimensions
10.5in
Length
4.4in
Width
2-slot
Height
About A6000 GPU
The NVIDIA A6000 is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 48GB of VRAM and 10,752 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2021, the A6000 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 A6000, pricing starts at $0.47/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 768 GB/s enabling fast data transfer for large datasets.
The A6000 features CUDA compute capability the latest and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 8nm manufacturing process ensures efficient power consumption relative to performance output.
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External Resources
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
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 |
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