Specifications Compared
| Spec | RTX-3070 | RTX-4090 |
|---|---|---|
| TDP | 220W | 450W |
| VRAM | 8 GB | 24 GB |
| CUDA Cores | 5,888 | 16,384 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | |
| Tensor Cores | 184 | 512 |
| FP16 Performance | 20.3 TFLOPS | 165 TFLOPS |
| FP32 Performance | 20.3 TFLOPS | 82.6 TFLOPS |
| Memory Bandwidth | 448 GB/s | 1,008 GB/s |
Performance Analysis
Compute capabilities differ dramatically: the RTX 3070 Ti provides 20.3 TFLOPS FP16 for mixed-precision training and inference, matched by FP32 at the same rate. The RTX 4090 quadruples FP32 to 82.6 TFLOPS and boosts FP16 to 165 TFLOPS, with FP8 at 660 TFLOPS for ultra-efficient inference. This delta favors the RTX 4090 in deep learning pipelines, where half-precision accelerates training epochs by up to 8x and supports low-latency serving.
Memory specs heavily influence real-world usage. The RTX 3070 Ti's 448 GB/s bandwidth and 8 GB VRAM constrain batch sizes to small values, risking out-of-memory errors for models over 7B parameters. The RTX 4090's 1008 GB/s bandwidth and 24 GB VRAM enable larger batches and complex models, reducing training time and improving throughput in memory-bound scenarios like Stable Diffusion or scientific simulations.
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 3070 Ti
The RTX 3070 Ti suits budget-limited projects requiring modest resources. Its $0.06/hr starting price and 220W TDP make it ideal for lightweight LLM inference, small-scale fine-tuning, or prototyping where 8 GB VRAM and 20.3 TFLOPS FP16 suffice. Low interconnect demands fit PCIe form factors in entry-level cloud instances.
When to Choose the RTX 4090
Opt for the RTX 4090 in performance-critical applications. With 24 GB VRAM, 165 TFLOPS FP16, and PCIe 4.0 interconnect, it excels at training large LLMs, high-resolution Stable Diffusion, or FP8-optimized inference. The $0.16/hr rate justifies gains for workloads exceeding RTX 3070 Ti's 448 GB/s bandwidth limits.
Use Cases
RTX 4090's 24 GB VRAM and 1008 GB/s bandwidth support large models and batches, unlike RTX 3070 Ti's 8 GB and 448 GB/s which cause memory constraints.
The 165 TFLOPS FP16 and 660 TFLOPS FP8 on RTX 4090 enable high-throughput serving, far surpassing RTX 3070 Ti's 20.3 TFLOPS.
RTX 3070 Ti's 8 GB VRAM and $0.06/hr pricing fit small model fine-tuning efficiently. RTX 4090 is overkill for sub-7B parameter tasks.
RTX 4090 handles high-resolution generations with 24 GB VRAM and 1008 GB/s bandwidth. RTX 3070 Ti's 8 GB limits image sizes and quality.
82.6 TFLOPS FP32 and 165 TFLOPS FP16 on RTX 4090 accelerate simulations. RTX 3070 Ti's 20.3 TFLOPS suits only lightweight computations.
Frequently Asked Questions
What is the VRAM capacity of RTX 3070 Ti versus RTX 4090?▾
RTX 3070 Ti has 8 GB GDDR6 VRAM. RTX 4090 offers 24 GB GDDR6X, allowing three times more model parameters or larger batches in AI tasks.
Which GPU has higher FP16 performance?▾
RTX 4090 achieves 165 TFLOPS FP16. RTX 3070 Ti delivers 20.3 TFLOPS, making RTX 4090 over 8 times faster for ML training and inference.
How do cloud prices compare for these GPUs?▾
RTX 3070 Ti starts at $0.06/hr (average $0.08/hr) across 2 offers. RTX 4090 begins at $0.16/hr (average $0.46/hr) across 114 offers, reflecting its superior specs.
What is the memory bandwidth difference?▾
RTX 3070 Ti provides 448 GB/s. RTX 4090 doubles that to 1008 GB/s, enabling larger batch sizes and faster data transfers in memory-intensive workloads.
Which has lower power consumption?▾
RTX 3070 Ti uses 220W TDP. RTX 4090 requires 450W, suiting high-performance setups but demanding more cooling in cloud instances.
Is RTX 4090 compatible with PCIe 4.0?▾
RTX 4090 supports PCIe 4.0 interconnect. RTX 3070 Ti uses standard PCIe, both in PCIe form factors for broad cloud provider compatibility.
Which is cheaper to rent, the RTX 3070 or the RTX 4090?▾
Cloud rental prices for both the RTX 3070 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 3070 have compared to the RTX 4090?▾
The RTX 3070 has 8 GB of GDDR6 memory. The RTX 4090 has 24 GB of GDDR6X memory.
Can I find RTX 3070 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 3070 and the RTX 4090?▾
The RTX 3070 uses the Ampere architecture (2020) while the RTX 4090 uses Ada Lovelace (2022). The RTX 4090 delivers 8.1x the FP16 throughput and 2.3x the memory bandwidth of the RTX 3070.