Specifications Compared
| Spec | RTX-2070 | RTX-4090 |
|---|---|---|
| TDP | 175W | 450W |
| VRAM | 8 GB | 24 GB |
| CUDA Cores | 2,304 | 16,384 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | PCIe 4.0 |
| Tensor Cores | 288 | 512 |
| FP16 Performance | 7.5 TFLOPS | 165 TFLOPS |
| FP32 Performance | 7.5 TFLOPS | 82.6 TFLOPS |
| Memory Bandwidth | 448 GB/s | 1,008 GB/s |
Performance Analysis
Compute capabilities define the core disparity: the RTX 4090 attains 165 TFLOPS FP16 and 82.6 TFLOPS FP32, dwarfing the RTX 2070 SUPERS 18 TFLOPS FP16 and 9 TFLOPS FP32. This gap accelerates LLM training, where FP16 dominates mixed-precision workflows, and inference, benefiting from FP8 at 660 TFLOPS on the RTX 4090 for quantized models.
Memory profiles amplify real-world impacts. The RTX 4090s 24 GB GDDR6X VRAM handles massive models intact, unlike the RTX 2070 SUPERS 8 GB GDDR6 limit that forces model sharding or downsizing. Bandwidth of 1008 GB/s versus 448 GB/s permits larger batch sizes, cutting training epochs and inference latency.
Power demands reflect usage: 450 W TDP suits data centers, while 215 W fits edge deployments. Overall, the RTX 4090 transforms production AI, whereas the RTX 2070 SUPER manages prototypes.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.39/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 152GB Storage | Iceland | $0.40/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Orlando, Florida | $0.48/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 108GB Storage | Iceland | $0.53/GPU/hr | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 80 vCPU 157GB RAM 856GB Storage | United Kingdom | $0.67/GPU/hr $2.67/hr total (4×) | Available |
When to Choose the RTX 2070 SUPER
The RTX 2070 SUPER suits power-limited setups: its 215 W TDP draws less than half the 450 W of the RTX 4090. Owners of existing hardware avoid cloud costs, as no rental offers appear.
It handles lightweight inference or fine-tuning for models under 8 GB VRAM, such as small vision tasks, where 18 TFLOPS FP16 suffices without needing 165 TFLOPS.
When to Choose the RTX 4090
The RTX 4090 fits intensive AI pipelines: 24 GB VRAM loads full LLMs, exceeding the RTX 2070 SUPERS 8 GB constraint. Cloud access from $0.16 per hour scales effortlessly.
High bandwidth at 1008 GB/s supports large-batch training, leveraging 165 TFLOPS FP16 for rapid iterations in Stable Diffusion or scientific simulations.
Use Cases
RTX 4090s 24 GB VRAM and 165 TFLOPS FP16 manage large LLMs with big batches; RTX 2070 SUPERS 8 GB and 18 TFLOPS restrict scale.
660 TFLOPS FP8 and 1008 GB/s bandwidth on RTX 4090 deliver low-latency serving; RTX 2070 SUPER handles only tiny models.
RTX 4090s 82.6 TFLOPS FP32 and ample VRAM accelerate PEFT methods; 9 TFLOPS on A causes memory bottlenecks.
24 GB VRAM on RTX 4090 enables high-res generations at 165 TFLOPS FP16; 8 GB on A limits to low-res or fails.
RTX 4090s 82.6 TFLOPS FP32 powers complex simulations; either works for basic ones on 9 TFLOPS.
Frequently Asked Questions
What is the VRAM difference between RTX 2070 SUPER and RTX 4090?▾
RTX 4090 offers 24 GB GDDR6X VRAM, triple the RTX 2070 SUPERS 8 GB GDDR6. This supports larger models without splitting. Bandwidth reaches 1008 GB/s on RTX 4090 versus 448 GB/s.
How much faster is RTX 4090 than RTX 2070 SUPER?▾
RTX 4090 delivers 165 TFLOPS FP16 and 82.6 TFLOPS FP32, roughly 9x the RTX 2070 SUPERS 18 TFLOPS FP16 and 9 TFLOPS FP32. FP8 at 660 TFLOPS adds inference efficiency. Real-world AI tasks see proportional speedups.
What are the TDP ratings?▾
RTX 2070 SUPER consumes 215 W TDP, RTX 4090 requires 450 W. Lower power suits laptops or small servers for A. RTX 4090 demands robust cooling.
Is cloud rental available for these GPUs?▾
RTX 4090 rentals start at $0.16 per hour, average $0.45 per hour over 124 offers. RTX 2070 SUPER has no live cloud offers. Use RTX 4090 for on-demand scaling.
RTX 2070 SUPER vs RTX 4090 for AI training?▾
RTX 4090 excels with 24 GB VRAM, 165 TFLOPS FP16 for training large models. RTX 2070 SUPER limits to small datasets at 8 GB and 18 TFLOPS. Rent RTX 4090 for serious work.
What architectures power these GPUs?▾
RTX 2070 SUPER uses Turing from 2019 with NVLink support. RTX 4090 employs Ada Lovelace from 2022 with PCIe 4.0. Ada adds FP8 at 660 TFLOPS.
Which is cheaper to rent, the RTX 2070 or the RTX 4090?▾
Cloud rental prices for both the RTX 2070 and RTX 4090 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 4090?▾
The RTX 2070 has 8 GB of GDDR6 memory. The RTX 4090 has 24 GB of GDDR6X memory.
Can I find RTX 2070 and RTX 4090 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 4090?▾
The RTX 2070 uses the Turing architecture (2018) while the RTX 4090 uses Ada Lovelace (2022). The RTX 4090 delivers 22.0x the FP16 throughput and 2.3x the memory bandwidth of the RTX 2070.