CUDA Cores
VRAM
GB/s
10,240
CUDA Cores
2295
Base MHz
2550
Boost MHz
16GB GDDR6X
256-bit bus
40
FP32 TFLOPS
80
FP16 TFLOPS
320W
TDP
1
Available Instances
$0.20/hr
Starting Price
| Architecture | Ada Lovelace (Unknown) |
| Release Date | 2024-01-31 |
| Launch Price | $999.00 |
| Process | 5nm |
| Transistors | 45.9 Billion |
Gen 3
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
The NVIDIA RTX 4080 Super is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 16GB of VRAM and 10,240 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2024, the RTX 4080 Super features Ada Lovelace 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 RTX 4080 Super, pricing starts at $0.20/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 736 GB/s enabling fast data transfer for large datasets.
The RTX 4080 Super supports the latest CUDA compute capabilities and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 5nm manufacturing process ensures efficient power consumption relative to performance output.
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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 |
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