Specifications Compared
| Spec | RTX-2070 | RTX-3090 |
|---|---|---|
| TDP | 175W | 350W |
| VRAM | 8 GB | 24 GB |
| CUDA Cores | 2,304 | 10,496 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 288 | 328 |
| FP16 Performance | 7.5 TFLOPS | 35.6 TFLOPS |
| FP32 Performance | 7.5 TFLOPS | 35.6 TFLOPS |
| Memory Bandwidth | 448 GB/s | 936 GB/s |
Performance Analysis
Compute power differs vastly between these GPUs: the RTX 3090 reaches 35.6 TFLOPS in FP16 and FP32, over 3.9 times the RTX 2070 SUPER's 9.1 TFLOPS. In deep learning, FP16 accelerates training via mixed precision, reducing epochs by factor of 3.9x on RTX 3090; FP32 ensures precise inference similarly boosted. The RTX 2070 SUPER suits small models only. VRAM and bandwidth shape real-world use: 24 GB versus 8 GB on RTX 3090 accommodates large language models without out-of-memory errors, supporting batch sizes triple those on RTX 2070 SUPER. Its 936 GB/s bandwidth, double the 448 GB/s, minimizes stalls in data-heavy training or diffusion models, enabling 20-50% larger batches. TDP of 350 W on RTX 3090 reflects density, viable at $0.08 per hour cloud rates.
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 104GB 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 1217GB 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 |
When to Choose the RTX 2070 SUPER
The RTX 2070 SUPER fits low-demand inference or fine-tuning of tiny models under 8 GB VRAM. Its 9.1 TFLOPS handles basic tasks like lightweight computer vision without excess cost, especially in on-premises setups given no live cloud offers. Lower 215 W TDP suits power-limited environments.
When to Choose the RTX 3090
Opt for RTX 3090 in high-scale workloads needing 24 GB VRAM, such as LLM training or Stable Diffusion at high resolution. 35.6 TFLOPS and 936 GB/s bandwidth deliver 3.9x speedups with cloud access from $0.08 per hour. NVLink aids multi-GPU scaling.
Use Cases
LLM training demands over 8 GB VRAM for parameters; RTX 3090's 24 GB and 35.6 TFLOPS prevent OOM and speed convergence 3.9x over RTX 2070 SUPER.
Batch inference scales with 936 GB/s bandwidth and 35.6 TFLOPS on RTX 3090 for high throughput; 8 GB limits RTX 2070 SUPER.
Fine-tuning requires memory for gradients; 24 GB on RTX 3090 supports larger datasets than 8 GB on RTX 2070 SUPER.
High-res generation needs 24 GB VRAM; RTX 3090 handles it fluidly versus RTX 2070 SUPER constraints.
FP32 simulations benefit from 35.6 TFLOPS on RTX 3090, 3.9x RTX 2070 SUPER's 9.1 TFLOPS for faster iterations.
Frequently Asked Questions
RTX 2070 SUPER vs RTX 3090: which has more VRAM?▾
RTX 3090 offers 24 GB GDDR6X versus 8 GB GDDR6 on RTX 2070 SUPER. This enables larger models on 3090. Bandwidth reaches 936 GB/s on 3090, double the 448 GB/s.
What are the TFLOPS ratings?▾
RTX 3090 provides 35.6 TFLOPS FP16 and FP32; RTX 2070 SUPER delivers 9.1 TFLOPS each. The 3.9x gap accelerates AI tasks significantly.
Power consumption comparison?▾
RTX 2070 SUPER TDP is 215 W; RTX 3090 is 350 W. Higher TDP supports RTX 3090's performance at cloud rates from $0.08 per hour.
Cloud availability for these GPUs?▾
RTX 3090 has 42 live offers from $0.08/hr, averaging $0.45/hr. RTX 2070 SUPER has no live offers currently.
Which is better for machine learning training?▾
RTX 3090 excels with 24 GB VRAM and 35.6 TFLOPS for large batches. RTX 2070 SUPER's 8 GB limits it to small models.
Architecture differences?▾
RTX 2070 SUPER uses Turing from 2019; RTX 3090 uses Ampere from 2020. Ampere boosts efficiency and compute density.
Which is cheaper to rent, the RTX 2070 or the RTX 3090?▾
Cloud rental prices for both the RTX 2070 and RTX 3090 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 2070 have compared to the RTX 3090?▾
The RTX 2070 has 8 GB of GDDR6 memory. The RTX 3090 has 24 GB of GDDR6X memory.
Can I find RTX 2070 and RTX 3090 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 2070 and the RTX 3090?▾
The RTX 2070 uses the Turing architecture (2018) while the RTX 3090 uses Ampere (2020). The RTX 3090 delivers 4.7x the FP16 throughput and 2.1x the memory bandwidth of the RTX 2070.