NVIDIA RTX 5090
21,760
CUDA Cores
32GB
VRAM
1152
GB/s
Technical Specifications
21,760
CUDA Cores
1300
Base MHz
2600
Boost MHz
32GB GDDR7
384-bit bus
Performance
55
FP32 TFLOPS
110
FP16 TFLOPS
575W
TDP
Cloud Availability
2
Available Instances
$0.27/hr
Starting Price
Detailed Specifications
| Architecture | Blackwell (Unknown) |
| Release Date | 2022-10-12 |
| Launch Price | $1,999.00 |
| Process | 4nm |
| Transistors | 100B |
AI Features
Gen 5
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
Physical Specifications
Dimensions
11in
Length
4.5in
Width
3-slot
Height
About RTX 5090 GPU
The NVIDIA RTX 5090 is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 32GB of VRAM and 21,760 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2022, the RTX 5090 features Blackwell 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 5090, pricing starts at $0.27/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 1152 GB/s enabling fast data transfer for large datasets.
The RTX 5090 supports the latest CUDA compute capabilities and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 4nm 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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