NVIDIA GeForce RTX 3090 VS NVIDIA GeForce RTX 4090
Choosing between **RTX 3090** and **RTX 4090** depends on your specific AI workload requirements. Currently, you can rent these GPUs starting from **$0.11/h** and **$0.18/h** respectively across 17 providers.
RTX 3090
RTX 4090
📊 Detailed Specifications Comparison
| Specification | RTX 3090 | RTX 4090 | Difference |
|---|---|---|---|
| Architecture & Design | |||
| Architecture | Ampere | Ada Lovelace | - |
| Process Node | 8nm | 4nm | - |
| Target Market | consumer | consumer | - |
| Form Factor | 3-slot PCIe | 3-slot PCIe | - |
| Memory & Bandwidth | |||
| VRAM Capacity | 24GB | 24GB | |
| Memory Type | GDDR6X | GDDR6X | - |
| Memory Bandwidth | 936 GB/s | 1.01 TB/s | -7% |
| Memory Bus Width | 384-bit | 384-bit | - |
| Compute Infrastructure | |||
| CUDA Cores | 10,496 | 16,384 | -36% |
| Tensor Cores (AI) | 328 | 512 | -36% |
| RT Cores (Ray Tracing) | 82 | 128 | -36% |
| AI & Compute Performance (TFLOPS) | |||
| FP32 (Single Precision) | 35.58 TFLOPS | 82.58 TFLOPS | -57% |
| FP16 (Half Precision) | 71 TFLOPS | 165.15 TFLOPS | -57% |
| Power & Efficiency | |||
| TDP (Thermal Design Power) | 350W | 450W | -22% |
| PCIe Interface | PCIe 4.0 x16 | PCIe 4.0 x16 | - |
🎯 Use Case Recommendations
LLM & Large Model Training
NVIDIA GeForce RTX 4090
Higher VRAM capacity and memory bandwidth are critical for training large language models. The RTX 4090 offers 24GB compared to 24GB.
AI Inference
NVIDIA GeForce RTX 4090
For inference workloads, performance per watt matters most. Consider the balance between FP16/INT8 throughput and power consumption.
Budget-Conscious Choice
NVIDIA GeForce RTX 3090
Based on current cloud pricing, the RTX 3090 starts at a lower hourly rate.
Technical Deep Dive: RTX 3090 vs RTX 4090
Generational Improvements
The RTX 4090 delivers significantly more throughput than the 3090, thanks to the Ada Lovelace architecture and the introduction of 4th Gen Tensor Cores. While both share 24GB of VRAM, the 4090 is about 70-100% faster in core compute tasks like Stable Diffusion and video rendering.
The VRAM Factor
Because both cards have 24GB, the 3090 remains a highly competitive budget option. Many cloud providers offer 3090s at a fraction of the cost ($0.30 - $0.50/hr), making them ideal for memory-intensive but slightly less compute-heavy tasks.
NVIDIA GeForce RTX 3090 is Best For:
- Affordable AI development
- Enterprise availability
NVIDIA GeForce RTX 4090 is Best For:
- Image generation
- AI development
- Enterprise production
Frequently Asked Questions
Which GPU is better for AI training: RTX 3090 or RTX 4090?
For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The RTX 3090 offers 24GB of GDDR6X memory with 936 GB/s bandwidth, while the RTX 4090 provides 24GB of GDDR6X with 1.01 TB/s bandwidth. Both GPUs have similar VRAM capacity, so performance characteristics become the deciding factor.
What is the price difference between RTX 3090 and RTX 4090 in the cloud?
Cloud GPU rental prices vary by provider and region. Based on our data, RTX 3090 starts at $0.11/hour while RTX 4090 starts at $0.18/hour. This represents a 39% price difference.
Can I use RTX 4090 instead of RTX 3090 for my workload?
It depends on your specific requirements. If your model fits within 24GB of VRAM and you don't need the additional throughput of the RTX 3090, the RTX 4090 can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the RTX 3090's architecture may be essential.
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