RTX 4000 SFF Ada vs RTX 5070: Specs, VRAM & Price
Short answer: choose the RTX 4000 SFF Ada when 20 GB of VRAM is the gating requirement. Choose the RTX 5070 when 12 GB is enough for the workload and availability points that way.
The RTX 4000 SFF Ada has 20 GB of VRAM; the RTX 5070 has 12 GB.
You can rent both by the hour, no purchase required. RTX 4000 SFF Ada from $0.198/GPU/hr; RTX 5070 from $0.331/GPU/hr. The RTX 4000 SFF Ada is 40% cheaper at the entry rate.
RTX 4000 SFF Ada
Good for inference and light fine-tuning workloads
RTX 5070
Good for inference and light fine-tuning workloads
Last updated: 2026-10-10 22:02:52 UTCRefreshes hourly
Specs side by side
| Spec | RTX 4000 SFF Ada | RTX 5070 |
|---|---|---|
| VRAM | 20 GB | 12 GB |
| Memory bandwidth | – | 672 GB/s |
| Architecture | Ada Lovelace | Blackwell |
| Compute capability | 8.9 | 12.0 |
| Precisions in hardware | FP32, FP16, BF16, FP8, INT4 | FP32, FP16, BF16, FP8, INT4 |
| Peak FP16/BF16 tensor TFLOPS | – | 123.5 TFLOPS |
| Peak FP8 tensor TFLOPS | – | 246.9 TFLOPS |
| Max board power (TDP) | – | 250W |
| Regions | 1 | 1 |
On-demand price
| Rate | RTX 4000 SFF Ada | RTX 5070 |
|---|---|---|
| Lowest per GPU/hr | $0.198/GPU/hr (cheapest overall) | $0.331/GPU/hr (cheapest overall) |
Which is better for AI: RTX 4000 SFF Ada or RTX 5070?
Choose the RTX 4000 SFF Ada when 20 GB of VRAM is the gating requirement. Choose the RTX 5070 when 12 GB is enough for the workload and availability points that way.
RTX 4000 SFF Ada vs RTX 5070: common questions
Is the RTX 4000 SFF Ada or the RTX 5070 better for AI?
Short answer: choose the RTX 4000 SFF Ada when 20 GB of VRAM is the gating requirement. Choose the RTX 5070 when 12 GB is enough for the workload and availability points that way.
Is the RTX 4000 SFF Ada or the RTX 5070 cheaper to rent?
On Aquanode's live marketplace the RTX 4000 SFF Ada starts at $0.198/GPU/hr (median $0.198/GPU/hr) and the RTX 5070 starts at $0.331/GPU/hr (median $0.331/GPU/hr). The RTX 4000 SFF Ada is the cheaper of the two at the entry rate, by 40%.
What is the difference between the RTX 4000 SFF Ada and the RTX 5070?
The RTX 4000 SFF Ada has 20 GB of VRAM against the RTX 5070's 12 GB; the RTX 4000 SFF Ada is an Ada Lovelace part and the RTX 5070 is Blackwell (compute capability 8.9 vs 12.0); both run BF16, FP8, INT4 workloads in hardware. On price, the RTX 4000 SFF Ada lists from $0.198/GPU/hr and the RTX 5070 from $0.331/GPU/hr.
How widely available are the RTX 4000 SFF Ada and the RTX 5070?
The RTX 4000 SFF Ada is listed in 1 region and the RTX 5070 in 1 region right now.
How much does 1,000 GPU-hours cost on the RTX 4000 SFF Ada vs the RTX 5070?
At the lowest rates listed today, 1,000 GPU-hours costs $198 on the RTX 4000 SFF Ada and $331 on the RTX 5070, a difference of $133 for the same runtime. Rates are per GPU per hour and update hourly.
How much VRAM does the RTX 4000 SFF Ada have compared to the RTX 5070?
The RTX 4000 SFF Ada has 20 GB of VRAM; the RTX 5070 has 12 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 4000 SFF Ada page and RTX 5070 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 4000 SFF Ada VRAM calculator and the RTX 5070 VRAM calculator, or browse every model by generation in the GPU index.
More RTX 4000 SFF Ada comparisons
More RTX 5070 comparisons
Related reading: H100 pricing and specs, H100 vs H200, A100 vs H100, H100 and H200: SXM vs NVL vs PCIe, and The best GPUs for AI, ranked.
