Rent an NVIDIA RTX 3080 Ti from $0.04 per GPU-hour
NVIDIA RTX 3080 Ti cloud rental: $0.04 per GPU-hour on spot, $0.07 on-demand, $0.05 reserved, billed by the minute. RTX 3080 Ti is a consumer board rented by the hour with 12 GB of GDDR6X, built on the Ampere architecture in 2021. It holds small models, computer vision and image pipelines. Memory bandwidth is 912 GB/s, which is what sets token throughput for inference.
Billed per started minute. 48 GB of GPU memory on a 4× node. Persistent storage $0.08 per GB-month. No egress fees.
- GPU memory
- 12GBGDDR6X
- Bandwidth
- 912GB/sSets token throughput on inference
- Node sizes
- 1× · 2× · 4×Same price per GPU at every size
- Reclaim rate
- 15–20%Spot instances reclaimed over 30 days
What you get with each RTX 3080 Ti node.
| Node | GPU memory | vCPU | RAM | Local NVMe | Spot | On-demand | Action |
|---|---|---|---|---|---|---|---|
| 1× RTX 3080 Ti | 12 GB | 6 | 32 GB | 500 GB | $0.04/h | $0.07/h | Configure |
| 2× RTX 3080 Ti | 24 GB | 12 | 64 GB | 1 TB | $0.08/h | $0.14/h | Configure |
| 4× RTX 3080 Ti | 48 GB | 24 | 128 GB | 2 TB | $0.16/h | $0.28/h | Configure |
GPU-to-GPU link: PCIe Gen4 x16. Local NVMe is scratch space wiped when the instance ends; keep anything you need on a persistent disk.
24 RTX 3080 Ti GPUs free right now.
Straight from the capacity pool the console books against. Prices are identical in every region — pick the one closest to your data.
A region with zero free GPUs still accepts reserved capacity requests — we hold hardware for a term rather than sell what is already taken.
What fits in 12 GB — and what it costs per hour.
Weights need about 2 GB per billion parameters at FP16 / BF16, 0.5 GB per billion parameters at INT4. We keep 20% of the memory free for activations, the KV cache and the CUDA context, then take the smallest node that still fits.
| Open model | Parameters | FP16 / BF16node · spot price | INT4node · spot price |
|---|---|---|---|
| Llama 3.1 8BThe default small model for fine-tuning and agents | 8B | 2× $0.08/h | 1× $0.04/h |
| Qwen3 14BMid-size dense Qwen3 | 14.8B | 4× $0.16/h | 1× $0.04/h |
| gpt-oss-20bSmall open-weight reasoning model for local and edge serving | 21B | over 4× | 2× $0.08/h |
| Gemma 4 31BLargest dense Gemma 4, multimodal, 256K context | 31.3B | over 4× | 2× $0.08/h |
| Qwen3.6 35B A3BSmall hybrid-attention mixture of experts | 35B | over 4× | 2× $0.08/h |
| Llama 3.3 70BThe common 70B baseline (same size and layout as Llama 3.1 70B) | 70.6B | over 4× | 4× $0.16/h |
| gpt-oss-120bOpen-weight reasoning model, mixture of experts, tool use | 117B | over 4× | over 4× |
| Qwen3 235B A22BFlagship Qwen3 mixture of experts, the 2507 checkpoint | 235B | over 4× | over 4× |
| DeepSeek R1Reasoning model, the R1-0528 checkpoint | 671B | over 4× | over 4× |
Each model links to its full sizing: KV cache by context length and every GPU that runs it — GPU requirements for 64 open models.
Real usage depends on context length, batch size and the serving engine: a long context can add tens of gigabytes of KV cache. Treat the table as the floor, not the ceiling — and if a job is close to the limit, take the next node size or quantise one step further.
What a dollar buys on an RTX 3080 Ti.
Ranked 7 of 14 consumer models in this catalogue on cost per gigabyte of GPU memory.
GPU memory you get for $1.00 of spot time, per hour.
Bandwidth decides token throughput far more often than raw FLOPS.
Spot price divided by published FP32 throughput.
One GPU on spot, billed per minute, storage excluded.
Against the rest of the market
6 providers · September 2026- Median on-demand elsewhere
- $0.15Our on-demand is 53% below it
- Cheapest on-demand seen
- $0.10Our on-demand $0.07 is 30% below it
- Cheapest spot seen
- $0.08Our spot $0.04 is 50% below it
- 24 hours on one GPU
- $0.96 on spot$1.68 on-demand · $2.40 at the cheapest rate found elsewhere
Index built from published prices for the same GPU across 102 providers (provider pricing pages and public price indexes), September 2026. How the guarantee is enforced.
RTX 3080 Ti price per hour at 6 other providers.
The lowest published on-demand rate we recorded at each provider, cheapest first: $0.10 to $0.92 per GPU-hour, with a median of $0.16. Every row links to its source; a provider without a published price is left out rather than estimated.
| # | Provider | On-demandper GPU-hour | Spot | 730 h | Source |
|---|---|---|---|---|---|
| — | OnlineGPUthis site · how the price is set | $0.07 | $0.04 | $51.10 | pricing page |
| 1 | Liumrecorded 15 Sep 2026 | $0.10 | not published | $73.00 | lium.io |
| 2 | Vast.airecorded 15 Sep 2026 | $0.12 | $0.11 | $87.60 | getdeploying.com |
| 3 | Saladrecorded 15 Sep 2026 | $0.15 | $0.08 | $109.50 | getdeploying.com |
| 4 | RunPodrecorded 15 Sep 2026 | $0.18 | not published | $131.40 | getdeploying.com |
| 5 | Theta EdgeCloudrecorded 15 Sep 2026 | $0.25 | not published | $182.50 | getdeploying.com |
| 6 | Exoscalerecorded 15 Sep 2026 | $0.92 | not published | $671.60 | getdeploying.com |
Recorded 15 September 2026 from published price pages (provider pricing pages and public price indexes), compute only: storage, egress and taxes excluded. Prices move — if a row is out of date, send us the link and it is corrected.
What people run on an RTX 3080 Ti.
Quantised inference
Small and medium models in 4-bit or 8-bit form, with the whole model resident in memory.
Computer vision and batch jobs
Detection, classification, embeddings and transcoding at a very low hourly rate.
Anything that can checkpoint
On the spot tier this model is 43% below its own on-demand price, with a 2-minute notice before a reclaim.
NVIDIA RTX 3080 Ti, as published by NVIDIA.
Taken from the vendor datasheet. Where a figure is not published, the row is absent rather than estimated.
- Vendor
- NVIDIA
- Architecture
- Ampere (2021)
- Segment
- Consumer
- Memory
- 12 GB GDDR6X
- Memory bandwidth
- 912 GB/s
- FP32
- 34 TFLOPS
- CUDA cores
- 10,240
- Board power
- 350 W
- Form factor
- PCIe
- Interconnect
- PCIe Gen4 x16
- Multi-instance (MIG)
- Not available
- 8-bit float (FP8)
- Not supported — use FP16 or integer quantisation
Source: images.nvidia.com · www.nvidia.com · verified against the vendor document
Software that runs on it
8 templatesPre-built environments, pulled on the node before you land on it. Or bring any OCI image from a public or private registry.
On the spot tier
15–20% reclaimed · 30 d- 2 minutes of notice on the metadata endpoint, a webhook and the console
- The instance is stopped, not deleted — disk and IP stay attached
- Auto-relaunch on the next free RTX 3080 Ti, or switch the same disk to on-demand
- You save $0.72 a day per GPU against on-demand
If the RTX 3080 Ti is not the right fit.
Same memory or more, 25% cheaper on spot
RTX A4000 16 GB GDDR6 · Ampere $0.03/h spotNext step up in memory: 16 GB instead of 12 GB
RTX 3090 Ti 24 GB GDDR6X · Ampere $0.06/h spotSame Ampere generation
RTX 3090 24 GB GDDR6X · Ampere $0.05/h spotSame Ampere generation
Or put two of them side by side: RTX 3080 Ti vs RTX A4000 · RTX 3080 Ti vs RTX A4000 · RTX 3080 Ti vs RTX 3090 Ti
RTX 3080 Ti — the questions that come up
How much does an RTX 3080 Ti cost per hour?
Spot is $0.04 per GPU-hour and on-demand is $0.07, both billed per minute — every started minute costs the hourly price divided by 60, so $0.0007 on spot. Reserved capacity is $0.05 per GPU-hour on a monthly commitment. Storage and egress are not included in that rate: persistent disks are $0.08 per GB-month and there are no egress fees.
How many GPUs can I put in one instance?
Node sizes are 1×, 2×, 4× — up to 4 RTX 3080 Ti GPUs in a single virtual machine, with CPU, RAM and local NVMe scaled with the GPU count. The price per GPU is identical at every node size.
Can it run a 70B model?
Not on a single node of this model: at FP16 a 70B model needs about 140 GB of memory for the weights alone, more than 4× 12 GB leaves free. Quantised to 4 bits it needs about 35 GB — check the memory table above — or pick a model with more memory per GPU.
Which regions have it?
Available now in US West (Oregon). Prices are identical in every region; pick the one closest to your data.
How often is a spot RTX 3080 Ti reclaimed?
Over the trailing 30 days, 15–20% of spot instances on this model were reclaimed. You get a 2-minute notice on the metadata endpoint, through a webhook and in the console; the instance is then stopped, never deleted, and the persistent disk stays attached.
Anything else about this model? Ask an engineer — the same people run the nodes. See also all prices, how we compare with 41 other providers and how to pay in crypto.
An RTX 3080 Ti for $0.04 an hour, running in under 60 seconds.
Prepaid in crypto, pay as you go: no card, no contract, no minimum commitment. Add credit, launch, stop whenever you want.
Billed per minute from the moment the instance is reachable. Minimum credit $30, no subscription. 24 RTX 3080 Ti GPUs available right now.