The ultimate consumer GPU for AI inference and creative workloads. Deploy cutting-edge performance in seconds.
SHA-256-C7E8976BBAF2Save 5%Perfect for inference and medium-scale training with excellent price-performance ratio.
Unmatched performance for creative workloads and real-time rendering.
Accelerate scientific computing and research applications.
| Specification | RTX 4090 | RTX 3090 | RTX 4080 |
|---|---|---|---|
| Memory | 24 GB GDDR6X | 24 GB GDDR6X | 16 GB GDDR6X |
| Memory Bandwidth | 1,008 GB/s | 936 GB/s | 717 GB/s |
| CUDA Cores | 16,384 | 10,496 | 9,728 |
| FP32 Performance | 82.6 TFLOPS | 35.6 TFLOPS | 48.7 TFLOPS |
| Architecture | Ada Lovelace | Ampere | Ada Lovelace |
| Price/Hour | From $0.74 | From $0.59 | From $0.69 |
The RTX 4090 is ideal for AI inference, deep learning training on medium-sized models, computer vision tasks, video rendering, and real-time ray tracing applications. Its 24GB VRAM makes it suitable for running large language models like Llama 2 70B in 4-bit quantization.
While the A100 offers superior memory bandwidth and capacity for large-scale training, the RTX 4090 provides excellent price-performance for inference and smaller training tasks. The RTX 4090 excels in mixed precision workloads and offers better single-precision performance.
Yes, you can deploy multi-GPU configurations with 2x, 4x, or 8x RTX 4090s. These configurations support NVLink for high-speed GPU-to-GPU communication, ideal for distributed training and parallel processing.
Our RTX 4090 instances come with CUDA 12.1+, PyTorch 2.0+, TensorFlow 2.13+, JAX, and other popular ML frameworks pre-installed. Custom Docker images are also supported for specific requirements.
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