NVIDIA RTX 3090
10,496
CUDA Cores
24GB
VRAM
936
GB/s
Technical Specifications
10,496
CUDA Cores
1395
Base MHz
1695
Boost MHz
24GB GDDR6X
384-bit bus
Performance
35.6
FP32 TFLOPS
71.2
FP16 TFLOPS
350W
TDP
Cloud Availability
5
Available Instances
$0.10/hr
Starting Price
Detailed Specifications
| Architecture | Ampere (Unknown) |
| Release Date | 2020-09-24 |
| Launch Price | $1,499.00 |
| Process | 8nm |
| Transistors | 28.3B |
AI Features
Gen 3
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
Physical Specifications
Dimensions
12.3in
Length
5.4in
Width
3-slot
Height
About RTX 3090 GPU
The NVIDIA RTX 3090 is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 24GB of VRAM and 10,496 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2020, the RTX 3090 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 RTX 3090, pricing starts at $0.10/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 936 GB/s enabling fast data transfer for large datasets.
The RTX 3090 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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