Specifications Compared
| Spec | RTX 3070 | RTX 4070 |
|---|---|---|
| TDP | 220W | 200W |
| VRAM | 8 GB | 12-16 GB |
| CUDA Cores | 5,888 | 5,888 |
| FP8 (dense) | Not published | 116.6 TFLOPS |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| FP16 (dense) | 40.6 TFLOPS | 58.3 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 162.6 TOPS | 233.2 TOPS |
| Interconnect | PCIe 4.0 | PCIe 4.0 |
| Tensor Cores | 184 | 184 |
| FP32 Performance | 20.3 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 448 GB/s | 504 GB/s |
| FP8 (with sparsity) | Not published | 233.2 TFLOPS |
| FP16 (with sparsity) | 81.3 TFLOPS | 116.6 TFLOPS |
| INT8 (with sparsity) | 325.2 TOPS | 466.4 TOPS |
Performance Analysis
The FP16 dense performance of 40.6 TFLOPS on the RTX 3070 compared to 58.3 TFLOPS on the RTX 4070 indicates that training and inference workloads complete faster on the RTX 4070 when using dense operations. The FP16 figure with sparsity reaches 81.3 TFLOPS on the RTX 3070 and 116.6 TFLOPS on the RTX 4070 so workloads that benefit from sparsity see proportional gains on the RTX 4070. Memory bandwidth of 504 GB/s on the RTX 4070 versus 448 GB/s on the RTX 3070 supports larger batch sizes in memory intensive tasks while the FP32 ratio of 29.1 TFLOPS to 20.3 TFLOPS favors the RTX 4070 for single precision scientific work.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
RTX 3070
RTX 3070 is not offered on-demand by any provider we track right now. See the RTX 3070 rental page for last-seen listed prices and a price alert.
RTX 4070
RTX 4070 is not offered on-demand by any provider we track right now. See the RTX 4070 rental page for last-seen listed prices and a price alert.
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When to Choose the RTX 3070
The RTX 3070 suits workloads that fit within 8 GB of memory and rely on dense INT8 performance of 162.6 TOPS without requiring the higher bandwidth of 504 GB/s. Scenarios with ample power availability align with its 220W TDP when the FP32 rating of 20.3 TFLOPS meets application needs.
When to Choose the RTX 4070
The RTX 4070 fits tasks that demand between 12 and 16 GB of memory or the FP16 dense rating of 58.3 TFLOPS for accelerated training and inference. Its 200W TDP and 504 GB/s bandwidth make it preferable for sustained operations that benefit from the FP32 performance of 29.1 TFLOPS.
Use Cases
The RTX 4070 provides FP16 dense performance of 58.3 TFLOPS and memory bandwidth of 504 GB/s for larger batches compared to 40.6 TFLOPS and 448 GB/s.
The RTX 4070 supports fine tuning with INT8 dense performance of 233.2 TOPS and FP16 with sparsity at 116.6 TFLOPS exceeding the RTX 3070 figures.
Memory capacity between 12 and 16 GB on the RTX 4070 allows larger models while FP32 performance of 29.1 TFLOPS surpasses 20.3 TFLOPS.
The RTX 4070 delivers FP32 performance of 29.1 TFLOPS and lower TDP of 200W for extended scientific workloads over the RTX 3070.
Frequently Asked Questions
What is the FP16 dense performance difference between RTX 3070 and RTX 4070?▾
The RTX 3070 delivers 40.6 TFLOPS in FP16 dense while the RTX 4070 reaches 58.3 TFLOPS in FP16 dense. This difference affects training speed in dense tensor operations.
How does memory bandwidth compare for batch processing on these GPUs?▾
The RTX 3070 has memory bandwidth of 448 GB/s and the RTX 4070 has 504 GB/s. Higher bandwidth on the RTX 4070 permits increased batch sizes in memory bound applications.
Which GPU has lower power consumption for long running tasks?▾
The RTX 4070 operates at a TDP of 200W compared to 220W on the RTX 3070. Reduced power draw on the RTX 4070 benefits extended inference sessions.
How do the FP32 ratings influence scientific workloads?▾
FP32 performance measures 20.3 TFLOPS on the RTX 3070 and 29.1 TFLOPS on the RTX 4070. The higher rating on the RTX 4070 accelerates precision sensitive computations.
Which is cheaper to rent, the RTX 3070 or the RTX 4070?▾
Cloud rental prices for both the RTX 3070 and RTX 4070 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 4070?▾
The RTX 3070 has 8 GB of GDDR6 memory. The RTX 4070 has 12 to 16 GB of GDDR6X memory.
Can I find RTX 3070 and RTX 4070 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 4070?▾
The RTX 3070 uses the Ampere architecture (2020) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 1.4x the dense FP16 throughput (58.3 vs 40.6 TFLOPS, both without sparsity) and 1.1x the memory bandwidth of the RTX 3070.
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Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 3070 and the RTX 4070. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
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