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
The RTX 3090's 35.6 TFLOPS FP16 and FP32 performance dwarfs the RTX 2070's 7.5 TFLOPS by a factor of 4.75: this translates to faster deep learning training epochs and inference queries, especially for models leveraging half-precision computations. Training large neural networks benefits from the Ampere card's superior throughput, reducing time per iteration significantly. The identical FP16 and FP32 ratios on both GPUs indicate tensor core efficiency, but scale matters in practice. Memory differences prove critical: 24 GB GDDR6X versus 8 GB GDDR6 limits the RTX 2070 to smaller batch sizes, risking out-of-memory errors in VRAM-intensive tasks like LLM fine-tuning. The RTX 3090's 936 GB/s bandwidth, more than double the 448 GB/s, sustains larger batches and higher resolutions without bottlenecks. Power draw doubles to 350W on the newer GPU, demanding robust cooling in cloud instances.
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 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 |
When to Choose the RTX 2070
The RTX 2070 suits budget-conscious users running lightweight inference or prototyping on modest datasets. Its 8 GB VRAM handles small models effectively, and 175W TDP enables deployment on low-power cloud instances. At $0.02 per hour starting price and $0.04 average, it delivers value for non-demanding workloads where 7.5 TFLOPS suffices.
When to Choose the RTX 3090
Opt for the RTX 3090 in VRAM-heavy scenarios like training large language models or high-resolution image generation. 24 GB capacity and 936 GB/s bandwidth support massive batches unattainable on 8 GB setups. Despite $0.42 average hourly cost, 35.6 TFLOPS accelerates completion times, justifying expense for production-scale AI tasks.
Use Cases
LLM training demands extensive VRAM for large parameter sets: the RTX 3090's 24 GB handles this, unlike the RTX 2070's 8 GB. Its 35.6 TFLOPS FP16 throughput cuts training time by over 4 times.
Inference on production LLMs requires high memory bandwidth for concurrent queries: 936 GB/s on RTX 3090 outperforms 448 GB/s. 35.6 TFLOPS ensures low latency versus 7.5 TFLOPS.
Fine-tuning mid-sized models benefits from RTX 3090's 24 GB VRAM for larger batches. Bandwidth of 936 GB/s prevents slowdowns seen on RTX 2070's 448 GB/s.
Stable Diffusion at high resolutions needs 24 GB VRAM to avoid swapping: RTX 3090 excels here. 35.6 TFLOPS generates images 4.75 times faster than RTX 2070.
Many simulations fit within 8 GB VRAM on RTX 2070, suiting cost-sensitive runs at $0.04 per hour. RTX 3090's 24 GB aids complex datasets requiring 936 GB/s bandwidth.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 3090 provides 24 GB GDDR6X VRAM, compared to the RTX 2070's 8 GB GDDR6. This tripling supports larger models in AI tasks. Cloud pricing reflects this: $0.08 per hour start for RTX 3090 versus $0.02 for RTX 2070.
How do their compute performances compare?▾
RTX 3090 delivers 35.6 TFLOPS in FP16 and FP32, 4.75 times the RTX 2070's 7.5 TFLOPS. This gap accelerates training and inference significantly. Both share NVLink interconnect for multi-GPU setups.
What is the power consumption difference?▾
RTX 2070 TDP is 175W, half the RTX 3090's 350W. Lower power suits edge deployments. Cloud providers factor this into instance costs, with RTX 2070 averaging $0.04 per hour.
Which is cheaper in the cloud?▾
RTX 2070 starts at $0.02 per hour with $0.04 average across 2 offers, far below RTX 3090's $0.08 start and $0.42 average over 49 offers. Budget tasks favor the older GPU. Availability tilts toward RTX 3090 with more listings.
Can both GPUs use NVLink?▾
Both support NVLink interconnect and PCIe form factor. This enables scaling in multi-GPU clouds. RTX 3090's higher bandwidth of 936 GB/s maximizes interconnect benefits over RTX 2070's 448 GB/s.
Which architecture is newer?▾
RTX 3090 uses Ampere from 2020, succeeding RTX 2070's Turing from 2018. Ampere yields better efficiency in FP16 tasks at 35.6 TFLOPS. Turing remains viable for legacy code.
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.