Specifications Compared
| Spec | RTX-3090 | RTX-4070 |
|---|---|---|
| TDP | 350W | 200W |
| VRAM | 24 GB | 12 GB |
| CUDA Cores | 10,496 | 5,888 |
| Memory Type | GDDR6X | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 328 | 184 |
| FP16 Performance | 35.6 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 35.6 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 936 GB/s | 504 GB/s |
Performance Analysis
Compute capabilities show minimal difference: the RTX 3090 achieves 35.6 TFLOPS in FP16 and FP32, nearly matching the RTX 4070 SUPER's 35.5 TFLOPS. This equivalence translates to comparable training throughput and inference speeds for models fitting within memory constraints.
VRAM disparity proves critical: 24 GB on the RTX 3090 accommodates larger models and batch sizes than 12 GB on the RTX 4070 SUPER, reducing swapping in LLM training. Memory bandwidth reinforces this: 936 GB/s on the RTX 3090 accelerates data transfers over 504 GB/s, enhancing performance in bandwidth-limited scenarios like fine-tuning or diffusion models.
Power draw differs significantly: the RTX 4070 SUPER's 220W TDP yields superior efficiency versus 350W, lowering operational costs in prolonged cloud sessions. Ada Lovelace tensor core optimizations further boost inference efficiency compared to Ampere.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Wilmington, Delaware | $0.20/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.21/GPU/hr | Available | ||
 Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 403GB RAM 153GB Storage | Iceland | $0.25/GPU/hr $1.01/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1440GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
 LeaderGPU | 8×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.29/GPU/hr $2.29/hr total (8×) | Available |
RTX 4070 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the RTX 3090
Select the RTX 3090 for memory-intensive applications such as training large language models exceeding 12 GB VRAM requirements. Its 24 GB capacity and 936 GB/s bandwidth support bigger batches and faster iterations. NVLink enables scalable multi-GPU setups unavailable on the RTX 4070 SUPER, with cloud pricing from $0.08 per hour providing value.
When to Choose the RTX 4070 SUPER
Choose the RTX 4070 SUPER for power-sensitive deployments where 220W TDP matters over 350W. Its Ada Lovelace architecture delivers efficiency gains in inference for models under 12 GB. Lower heat output suits dense cloud instances, despite absent live pricing offers.
Use Cases
RTX 3090's 24 GB VRAM supports larger models and batches than 12 GB on RTX 4070 SUPER. Higher 936 GB/s bandwidth reduces bottlenecks.
Both deliver 35.6 TFLOPS and 35.5 TFLOPS FP16/FP32 performance. Select based on model memory needs and power efficiency.
24 GB VRAM fits bigger datasets during updates. NVLink aids multi-GPU fine-tuning.
Ada Lovelace excels in generative rendering with tensor optimizations. 220W TDP suits iterative generation.
936 GB/s bandwidth accelerates simulations. NVLink scales across GPUs for complex computations.
Frequently Asked Questions
Which GPU has more VRAM?▾
RTX 3090 provides 24 GB GDDR6X VRAM. RTX 4070 SUPER offers 12 GB GDDR6X VRAM.
What are the FP32 performance figures?▾
RTX 3090 delivers 35.6 TFLOPS FP32. RTX 4070 SUPER achieves 35.5 TFLOPS FP32.
How do memory bandwidths compare?▾
RTX 3090 has 936 GB/s bandwidth. RTX 4070 SUPER provides 504 GB/s bandwidth.
Which has lower TDP?▾
RTX 4070 SUPER consumes 220W TDP. RTX 3090 requires 350W TDP.
What cloud pricing is available?▾
RTX 3090 starts at $0.08 per hour, averaging $0.43 per hour over 46 offers. No live offers exist for RTX 4070 SUPER.
Does RTX 4070 SUPER support NVLink?▾
RTX 4070 SUPER does not support NVLink and uses PCIe. RTX 3090 includes NVLink for multi-GPU links.
Which is cheaper to rent, the RTX 3090 or the RTX 4070?▾
Cloud rental prices for both the RTX 3090 and RTX 4070 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the RTX 3090 have compared to the RTX 4070?▾
The RTX 3090 has 24 GB of GDDR6X memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find RTX 3090 and RTX 4070 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the RTX 3090 and the RTX 4070?▾
The RTX 3090 uses the Ampere architecture (2020) while the RTX 4070 uses Ada Lovelace (2023). The RTX 3090 delivers 1.2x the FP16 throughput and 1.9x the memory bandwidth of the RTX 4070.