DGX A100 vs RTX 4070 Ti Super: Specs, VRAM & Price
Short answer: choose the DGX A100 when 80 GB of VRAM is the gating requirement. Choose the RTX 4070 Ti Super when 16 GB is enough for the workload and the lower hourly rate points that way.
The DGX A100 has 80 GB of VRAM; the RTX 4070 Ti Super has 16 GB.
You can rent both by the hour, no purchase required. DGX A100 from $1.37/GPU/hr; RTX 4070 Ti Super from $0.220/GPU/hr. The RTX 4070 Ti Super is 84% cheaper at the entry rate.
DGX A100
Good for training and inference on models that don't need FP8 kernels
RTX 4070 Ti Super
Good for inference and light fine-tuning workloads
Last updated: 2026-10-10 20:47:54 UTCRefreshes hourly
Specs side by side
| Spec | DGX A100 | RTX 4070 Ti Super |
|---|---|---|
| VRAM | 80 GB | 16 GB |
| Architecture | Ampere | Ada Lovelace |
| Compute capability | 8.0 | 8.9 |
| Precisions in hardware | FP32, FP16, BF16, INT4 | FP32, FP16, BF16, FP8, INT4 |
| Form factor | – | PCIe 4.0 x16 |
| Regions | 1 | 1 |
On-demand price
| Rate | DGX A100 | RTX 4070 Ti Super |
|---|---|---|
| Lowest per GPU/hr | $1.37/GPU/hr | $0.220/GPU/hr (cheapest overall) |
Which is better for AI: DGX A100 or RTX 4070 Ti Super?
Choose the DGX A100 when 80 GB of VRAM is the gating requirement. Choose the RTX 4070 Ti Super when 16 GB is enough for the workload and the lower hourly rate points that way.
DGX A100 vs RTX 4070 Ti Super: common questions
Is the DGX A100 or the RTX 4070 Ti Super better for AI?
Short answer: choose the DGX A100 when 80 GB of VRAM is the gating requirement. Choose the RTX 4070 Ti Super when 16 GB is enough for the workload and the lower hourly rate points that way.
Is the DGX A100 or the RTX 4070 Ti Super cheaper to rent?
On Aquanode's live marketplace the DGX A100 starts at $1.37/GPU/hr (median $1.52/GPU/hr) and the RTX 4070 Ti Super starts at $0.220/GPU/hr (median $0.220/GPU/hr). The RTX 4070 Ti Super is the cheaper of the two at the entry rate, by 84%.
What is the difference between the DGX A100 and the RTX 4070 Ti Super?
The DGX A100 has 80 GB of VRAM against the RTX 4070 Ti Super's 16 GB; the DGX A100 is an Ampere part and the RTX 4070 Ti Super is Ada Lovelace (compute capability 8.0 vs 8.9); only the RTX 4070 Ti Super supports FP8 compute. On price, the DGX A100 lists from $1.37/GPU/hr and the RTX 4070 Ti Super from $0.220/GPU/hr.
How widely available are the DGX A100 and the RTX 4070 Ti Super?
The DGX A100 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 DGX A100 vs the RTX 4070 Ti Super?
At the lowest rates listed today, 1,000 GPU-hours costs $1,367 on the DGX A100 and $220 on the RTX 4070 Ti Super, a difference of $1,147 for the same runtime. Rates are per GPU per hour and update hourly.
How much VRAM does the DGX A100 have compared to the RTX 4070 Ti Super?
The DGX A100 has 80 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 DGX A100 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 DGX A100 VRAM calculator and the RTX 4070 Ti Super VRAM calculator, or browse every model by generation in the GPU index.
More DGX A100 comparisons
More RTX 4070 Ti Super 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.
