RTX 3070 vs RTX 4070 Ti Super: Specs, VRAM & Price
Short answer: choose the RTX 4070 Ti Super when 16 GB of VRAM is the gating requirement. Choose the RTX 3070 when 8 GB is enough for the workload and the lower hourly rate points that way.
The RTX 3070 has 8 GB of VRAM; the RTX 4070 Ti Super has 16 GB.
You can rent both by the hour, no purchase required. RTX 3070 from $0.143/GPU/hr; RTX 4070 Ti Super from $0.220/GPU/hr. The RTX 3070 is 35% cheaper at the entry rate.
RTX 3070
Good for inference and small-scale training workloads
RTX 4070 Ti Super
Good for inference and light fine-tuning workloads
Last updated: 2026-10-10 22:03:07 UTCRefreshes hourly
Specs side by side
| Spec | RTX 3070 | RTX 4070 Ti Super |
|---|---|---|
| VRAM | 8 GB | 16 GB |
| Memory bandwidth | 448 GB/s | – |
| Architecture | Ampere | Ada Lovelace |
| Compute capability | 8.6 | 8.9 |
| Precisions in hardware | FP32, FP16, BF16, INT4 | FP32, FP16, BF16, FP8, INT4 |
| Peak FP16/BF16 tensor TFLOPS | 81.3 TFLOPS | – |
| Max board power (TDP) | 220W | – |
| Form factor | – | PCIe 4.0 x16 |
| Regions | 1 | 1 |
On-demand price
| Rate | RTX 3070 | RTX 4070 Ti Super |
|---|---|---|
| Lowest per GPU/hr | $0.143/GPU/hr (cheapest overall) | $0.220/GPU/hr (cheapest overall) |
Which is better for AI: RTX 3070 or RTX 4070 Ti Super?
Choose the RTX 4070 Ti Super when 16 GB of VRAM is the gating requirement. Choose the RTX 3070 when 8 GB is enough for the workload and the lower hourly rate points that way.
RTX 3070 vs RTX 4070 Ti Super: common questions
Is the RTX 3070 or the RTX 4070 Ti Super better for AI?
Short answer: choose the RTX 4070 Ti Super when 16 GB of VRAM is the gating requirement. Choose the RTX 3070 when 8 GB is enough for the workload and the lower hourly rate points that way.
Is the RTX 3070 or the RTX 4070 Ti Super cheaper to rent?
On Aquanode's live marketplace the RTX 3070 starts at $0.143/GPU/hr (median $0.143/GPU/hr) and the RTX 4070 Ti Super starts at $0.220/GPU/hr (median $0.220/GPU/hr). The RTX 3070 is the cheaper of the two at the entry rate, by 35%.
What is the difference between the RTX 3070 and the RTX 4070 Ti Super?
The RTX 3070 has 8 GB of VRAM against the RTX 4070 Ti Super's 16 GB; the RTX 3070 is an Ampere part and the RTX 4070 Ti Super is Ada Lovelace (compute capability 8.6 vs 8.9); only the RTX 4070 Ti Super supports FP8 compute. On price, the RTX 3070 lists from $0.143/GPU/hr and the RTX 4070 Ti Super from $0.220/GPU/hr.
How widely available are the RTX 3070 and the RTX 4070 Ti Super?
The RTX 3070 is listed in 1 region and the RTX 4070 Ti Super in 1 region right now.
How much does 1,000 GPU-hours cost on the RTX 3070 vs the RTX 4070 Ti Super?
At the lowest rates listed today, 1,000 GPU-hours costs $143 on the RTX 3070 and $220 on the RTX 4070 Ti Super, a difference of $77 for the same runtime. Rates are per GPU per hour and update hourly.
How much VRAM does the RTX 3070 have compared to the RTX 4070 Ti Super?
The RTX 3070 has 8 GB of VRAM; the RTX 4070 Ti Super has 16 GB.
How this comparison is calculated
Every price is normalized to a per-GPU hourly rate using the same pipeline as every other pricing surface on Aquanode, and only the cheapest qualifying offer per provider is shown. A dash means that provider does not currently list that GPU.
Architecture, compute capability and supported precisions come from each vendor's published datasheet for that generation, not from the marketplace feed. This page regenerates at most once per hour.
Memory bandwidth, tensor TFLOPS, NVLink/interconnect and max board power are the same verified-from-datasheet figures shown on each model's own RTX 3070 page and RTX 4070 Ti Super page, which link the primary vendor source for that model. A dash here means Aquanode hasn't verified that figure from a primary source yet, never a guess.
Go further
Check what fits in each card's memory with the RTX 3070 VRAM calculator and the RTX 4070 Ti Super VRAM calculator, or browse every model by generation in the GPU index.
More RTX 3070 comparisons
More RTX 4070 Ti Super comparisons
Related reading: RTX 3070 pricing and specs, The NVIDIA Inception program, explained, Google Colab alternatives for dedicated GPU access, Free GPU credits for students and researchers, and RunPod volume disk vs. network volume, compared.
