Specifications Compared
| Spec | RTX-3070 | RTX-5090 |
|---|---|---|
| TDP | 220W | 575W |
| VRAM | 8 GB | 32 GB |
| CUDA Cores | 5,888 | 21,760 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Ampere | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 5.0 | |
| Tensor Cores | 184 | 680 |
| FP16 Performance | 20.3 TFLOPS | 419 TFLOPS |
| FP32 Performance | 20.3 TFLOPS | 105 TFLOPS |
| Memory Bandwidth | 448 GB/s | 1,792 GB/s |
Performance Analysis
The RTX 5090 vastly outperforms the RTX 3070 in compute capabilities: FP16 reaches 419 TFLOPS compared to 20.3 TFLOPS, enabling over 20 times faster half-precision operations critical for deep learning training. FP32 performance stands at 105 TFLOPS versus 20.3 TFLOPS, benefiting single-precision tasks in scientific simulations. The FP16 to FP32 delta on the RTX 5090 highlights optimized tensor cores for AI, while the RTX 3070 maintains parity at 20.3 TFLOPS for both, suiting balanced legacy workloads.
Memory bandwidth of 1792 GB/s on the RTX 5090 dwarfs the RTX 3070's 448 GB/s, allowing larger batch sizes in training and inference without bottlenecks. This supports handling models exceeding 8 GB VRAM, as the RTX 5090 provides 32 GB versus 8 GB. For inference, FP8 at 838 TFLOPS on the RTX 5090 accelerates quantized models, reducing latency for real-time applications far beyond the RTX 3070's capabilities.
Power draw reflects these gains: 575W TDP for the RTX 5090 versus 220W, demanding robust cooling but delivering proportional throughput.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 5090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.57/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 384 vCPU 94GB RAM 570GB Storage | Czechia | $0.81/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 8 vCPU 30GB RAM 489GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 583GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 495GB Storage | South Korea | $0.91/GPU/hr | Available |
When to Choose the RTX 3070
The RTX 3070 suits budget-conscious users for lightweight AI tasks. With pricing from $0.04 per hour and an average of $0.08 per hour across 6 offers, it excels in prototyping small models under 8 GB VRAM or basic inference at 20.3 TFLOPS FP16. Its 220W TDP enables deployment on cost-effective cloud instances without high power costs.
Choose the RTX 3070 for educational projects or low-volume Stable Diffusion runs where 448 GB/s bandwidth suffices for modest batch sizes.
When to Choose the RTX 5090
The RTX 5090 is ideal for professional AI workloads requiring massive scale. Its 32 GB GDDR7 VRAM and 1792 GB/s bandwidth handle large language models during training or fine-tuning, far exceeding the RTX 3070's 8 GB limit. At 419 TFLOPS FP16 and 838 TFLOPS FP8, it accelerates inference for production deployments.
Opt for the RTX 5090 in high-throughput environments, despite 575W TDP and average $0.64 per hour pricing across 22 offers, for tasks demanding PCIe 5.0 interconnect speeds.
Use Cases
The RTX 5090's 419 TFLOPS FP16 and 32 GB VRAM support large-scale training with high batch sizes, unlike the RTX 3070's 20.3 TFLOPS and 8 GB limit.
FP8 performance at 838 TFLOPS and 1792 GB/s bandwidth on the RTX 5090 enable low-latency quantized inference for production, surpassing the RTX 3070's capabilities.
32 GB GDDR7 VRAM accommodates full model fine-tuning, with 105 TFLOPS FP32 outperforming the RTX 3070's 20.3 TFLOPS and 8 GB constraint.
RTX 3070 handles basic generations at 20.3 TFLOPS FP16 for low cost, but RTX 5090's 419 TFLOPS and higher bandwidth speed up high-resolution batches.
RTX 5090's 105 TFLOPS FP32 and PCIe 5.0 excel in simulations requiring precision, over the RTX 3070's matched 20.3 TFLOPS FP32.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 5090 provides 32 GB GDDR7, quadrupling the RTX 3070's 8 GB GDDR6. This enables larger models in training and inference. Bandwidth follows suit at 1792 GB/s versus 448 GB/s.
How do their prices compare in the cloud?▾
RTX 3070 starts at $0.04 per hour with $0.08 average across 6 offers. RTX 5090 begins at $0.09 per hour with $0.64 average across 22 offers. Value scales with performance needs.
What is the FP16 performance difference?▾
RTX 5090 delivers 419 TFLOPS FP16, over 20 times the RTX 3070's 20.3 TFLOPS. This accelerates AI training significantly. FP32 is 105 TFLOPS versus 20.3 TFLOPS.
Which has higher power consumption?▾
RTX 5090's TDP is 575W, nearly three times the RTX 3070's 220W. This supports greater compute but requires strong infrastructure. Both use PCIe form factors.
Is the RTX 5090 better for AI inference?▾
Yes, with FP8 at 838 TFLOPS and 32 GB VRAM, RTX 5090 outperforms RTX 3070 in quantized inference. Bandwidth of 1792 GB/s handles large batches efficiently.
What architectures do they use?▾
RTX 3070 employs Ampere from 2020. RTX 5090 uses Blackwell from 2025 with PCIe 5.0. This generational gap drives spec advantages like higher FLOPS.
Which is cheaper to rent, the RTX 3070 or the RTX 5090?▾
Cloud rental prices for both the RTX 3070 and RTX 5090 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 3070 have compared to the RTX 5090?▾
The RTX 3070 has 8 GB of GDDR6 memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find RTX 3070 and RTX 5090 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 3070 and the RTX 5090?▾
The RTX 3070 uses the Ampere architecture (2020) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 20.6x the FP16 throughput and 4.0x the memory bandwidth of the RTX 3070.