RTX 3070 vs V100: Specs, VRAM & Price
Short answer: choose the V100 when 16 GB of VRAM is the gating requirement. Choose the RTX 3070 when 8 GB is enough for the workload and availability points that way.
The RTX 3070 has 8 GB of VRAM; the V100 has 16 GB.
You can rent both by the hour, no purchase required. RTX 3070 from $0.143/GPU/hr; V100 from $0.088/GPU/hr. The V100 is 38% cheaper at the entry rate.
RTX 3070
Good for inference and small-scale training workloads
V100
Good for inference workloads on older-generation hardware
Last updated: 2026-10-10 18:04:35 UTCRefreshes hourly
Specs side by side
| Spec | RTX 3070 | V100 |
|---|---|---|
| VRAM | 8 GB | 16 GB |
| Memory bandwidth | 448 GB/s | 900 GB/s |
| Architecture | Ampere | Volta |
| Compute capability | 8.6 | 7.0 |
| Precisions in hardware | FP32, FP16, BF16, INT4 | FP32, FP16 |
| Peak FP16/BF16 tensor TFLOPS | 81.3 TFLOPS | 125 TFLOPS (SXM2), 112 TFLOPS (PCIe) |
| NVLink / multi-GPU interconnect | – | NVLink, 300 GB/s (SXM2 only) |
| Max board power (TDP) | 220W | 300W (SXM2), 250W (PCIe) |
| Form factor | – | PCIe 3.0 x16 |
| Regions | 1 | 4 |
On-demand price
| Rate | RTX 3070 | V100 |
|---|---|---|
| Lowest per GPU/hr | $0.143/GPU/hr (cheapest overall) | $0.088/GPU/hr (cheapest overall) |
Which is better for AI: RTX 3070 or V100?
Choose the V100 when 16 GB of VRAM is the gating requirement. Choose the RTX 3070 when 8 GB is enough for the workload and availability points that way.
RTX 3070 vs V100: common questions
Is the RTX 3070 or the V100 better for AI?
Short answer: choose the V100 when 16 GB of VRAM is the gating requirement. Choose the RTX 3070 when 8 GB is enough for the workload and availability points that way.
Is the RTX 3070 or the V100 cheaper to rent?
On Aquanode's live marketplace the RTX 3070 starts at $0.143/GPU/hr (median $0.143/GPU/hr) and the V100 starts at $0.088/GPU/hr (median $0.187/GPU/hr). The V100 is the cheaper of the two at the entry rate, by 38%.
What is the difference between the RTX 3070 and the V100?
The RTX 3070 has 8 GB of VRAM against the V100's 16 GB; the RTX 3070 is an Ampere part and the V100 is Volta (compute capability 8.6 vs 7.0); only the RTX 3070 supports BF16, INT4 compute. On price, the RTX 3070 lists from $0.143/GPU/hr and the V100 from $0.088/GPU/hr.
How widely available are the RTX 3070 and the V100?
The RTX 3070 is listed in 1 region and the V100 in 4 regions right now.
How much does 1,000 GPU-hours cost on the RTX 3070 vs the V100?
At the lowest rates listed today, 1,000 GPU-hours costs $143 on the RTX 3070 and $88 on the V100, a difference of $55 for the same runtime. Rates are per GPU per hour and update hourly.
How much VRAM does the RTX 3070 have compared to the V100?
The RTX 3070 has 8 GB of VRAM; the V100 has 16 GB.
Does the RTX 3070 or the V100 support NVLink?
The V100 supports NVLink, 300 GB/s (SXM2 only); the RTX 3070 has no dedicated GPU-to-GPU interconnect.
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 V100 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 V100 VRAM calculator, see vendor-published throughput in the GPU benchmarks and specs table, or browse every model by generation in the GPU index.
More RTX 3070 comparisons
More V100 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.
