Runpod
Our sponsor- On-Demand
- from $0.24
- Reserved
- on request
Compact entry-level Ada Lovelace workstation GPU for professional visualization.
Weekly median price per GPU per hour · Get the data
By provider shows one card per company, placed where its best offer ranked. By configuration lists every offer.
What you can rent comes first: in stock, then waitlist, then not reported, then out of stock. Priced offers rank ahead of quote-only, and on-demand ahead of other billing types.
Within a group, five factors set the order:
We match the provider, its country, GPU model, form factor, billing type, availability and instance name. Matching is partial and case-insensitive. Everyday words work too, so "interruptible" finds spot and "sold out" finds out of stock.
No providers match .
Heads up: A provider's own page may quote a different figure, for example on tax, region or a promotion. A monthly-only plan shows a derived hourly rate. Verify before provisioning. More on how we price.
One RTX 2000 Ada has 16 GB of VRAM. In practice, that's enough memory for roughly 15B parameters at 4-bit or 2B at 16-bit, assuming a 32K context. Below are some open-weight LLMs, with the estimated memory and GPUs each one needs.
| Model | Memory (INT4 / FP4) | RTX 2000 Adas needed | Cost /hr | Cost /mo |
|---|---|---|---|---|
|
|
18 GB
|
2
|
–
|
–
|
|
|
22 GB
|
2
|
–
|
–
|
|
|
67 GB
|
5
|
–
|
–
|
|
|
178 GB
|
13
|
–
|
–
|
|
|
239 GB
|
17
|
–
|
–
|
|
|
306 GB
|
22
|
–
|
–
|
|
|
1,544 GB
|
108
|
–
|
–
|
Estimates based on the median on-demand rate. Memory is weights plus FP8 KV cache at 32K context per request (FP16/BF16 in the 16-bit column). GPU counts assume 90% of advertised VRAM is usable. No guarantee of runtime support, usable performance, or that a matching quantized build exists. Pricing methodology.
Nvidia RTX 2000 Ada · Per GPU
| Compute · dense | |
|---|---|
| FP8 | 96.0 TFLOPS 191.9 with sparsity |
| FP16 / BF16 | 48.0 TFLOPS 96.0 with sparsity |
| FP32 | 12 TFLOPS |
| Precision support | FP8FP16BF16TF32FP32INT4INT8 |
| Memory | |
|---|---|
| Capacity | 16 GB GDDR6 |
| Bandwidth | 224 GB/s |
| Bus width | 128-bit |
| ECC | Yes |
| Silicon | |
|---|---|
| Architecture | Ada Lovelace |
| Process | TSMC 4N |
| Transistors | 18.9 billion |
| Shader cores | 2,816 CUDA cores |
| Matrix cores | 88 Tensor cores |
| Compute units | 22 SMs |
| Fabric and host | |
|---|---|
| Host interface | PCIe 4.0 x8 |
| Power | |
|---|---|
| Board power | 70 W |
| Cooling | Active |
As of October 25, 2026, we track 3 configs from 2 providers. Prices are per GPU per hour.
| Billing type | Configs | Median /GPU/hr | Cheapest |
|---|---|---|---|
On-demand | 2 | $0.12 (in stock, Theta EdgeCloud) |
|
Reserved | 1 | On request |
No median for on-demand: we only show this when at least 3 providers list the GPU on that billing type.
The cheapest verified in-stock on-demand RTX 2000 Ada tracked by GetDeploying is $0.12 per GPU per hour from Theta EdgeCloud.
The cheapest verified in-stock estimate is $86 per month on-demand.
GetDeploying currently tracks RTX 2000 Ada configs from 2 providers. Theta EdgeCloud and Runpod have verified in-stock on-demand configs. See the full price comparison above for every provider and config.
One RTX 2000 Ada runs models up to roughly 15B parameters at 4-bit quantization or 2B at 16-bit, assuming a 32K context. Larger models run across multiple GPUs: the model table above shows the estimated memory and GPU count for popular open-weight LLMs.
Low-power 70W card with ECC memory in a compact dual-slot form factor. Fits small form-factor workstations for CAD, 3D visualization, and light inference tasks.
Limited to PCIe 4.0 x8 bandwidth and 128-bit memory bus. For heavier compute or larger models, consider the RTX 4000 Ada with 20GB and higher throughput.
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