Rent an RTX 5070 Ti
NVIDIA GeForce RTX 5070 Ti
High-performance Blackwell GPU with excellent price-to-performance ratio.
Specifications
Best for
Renting a RTX 5070 Ti
Rent an RTX 5070 Ti by the minute
The RTX 5070 Ti is the 16 GB card of the current generation: the same Blackwell architecture and GDDR7 memory as the RTX 5090, with half its memory. It is the card to rent for small and mid-size models, fine-tuning runs that fit in 16 GB, and anything where you want this generation's speed without paying for 32 GB. On ParalonCloud you rent the whole machine it sits in and pay for the minutes it runs.
A rental opens as Jupyter Lab in your browser, with a terminal, in under a minute. The hourly rate you see when you start is locked for the whole session, billing stops the minute you stop, and there is no contract or minimum spend.
Every RTX 5070 Ti listed here has been benchmarked by us before it is offered. The one we have verified measured 764 GB/s of memory bandwidth, inside the range our RTX 4090s measure (428 to 922 GB/s), and the result for each machine is on its page before you pay anything.
What fits
What fits in 16 GB
Sixteen gigabytes is enough for the models most people start with and not enough for the 27B class. The line is worth knowing before you rent.
Measured
Verified on an RTX 5070 Ti on this network
These are the results of our verification job on a provider's RTX 5070 Ti (Ryzen 9 9950X, a Windows machine running WSL2, power limit 300 W), run before the machine was listed. We have not yet published language-model throughput for this card, so there is no tokens-per-second figure here: we would rather leave it out than estimate it.
Steps
How to rent one
- 01
Pick a machine
Open the rent page and filter for RTX 5070 Ti. Each machine shows its measured bandwidth, PCIe link, power limit, CPU, RAM, free disk, location and reliability score.
- 02
Start the rental
Choose Jupyter Lab, accept the terms and start. You need credits for one hour to open a session and are charged only for the minutes you use.
- 03
Work, then stop
Use the terminal for pip, conda or apt, run your job, download what you want to keep, and stop. Or drive the whole thing from a script with the rental API.
Limits
Know before you rent
- A rental is an unprivileged container: Docker inside it does not work. Install what you need with pip, conda or apt.
- Access is through Jupyter Lab and its terminal. Other ports are not exposed to the internet.
- Everything on the machine is wiped when the rental ends. Download results before you stop, and checkpoint long jobs.
- A spot machine can be reclaimed with two minutes' notice. Use on demand for work that cannot be interrupted.
FAQ
Questions about the RTX 5070 Ti
RTX 5070 Ti or RTX 4090: which should I rent?
The RTX 4090 has 24 GB and the RTX 5070 Ti has 16 GB. If what you run needs more than about 13 GB once it is loaded, rent the RTX 4090: a 27B model at 4-bit is 18.7 GB of weights and does not fit in 16. For smaller models the RTX 5070 Ti is the newer card and usually the cheaper one.
Is 16 GB enough to run an LLM?
For a small one, yes. We serve a 4B model at 4-bit on 16 GB cards with a 16k context, and a 4B classifier in bf16 takes 7.9 GB. It is not enough for the 27B class, whose weights alone are 18.7 GB at 4-bit.
How do I know the card is really an RTX 5070 Ti?
Before a machine is listed, a verification job allocates its memory and measures memory bandwidth and compute. The RTX 5070 Ti we verified measured 764 GB/s and 33.1 TFLOPS in FP32. The result, and when it was last checked, is on the machine's page.
How much does it cost to rent an RTX 5070 Ti?
The current price is shown at the top of this page and comes from the machines available right now, since providers set their own rate. You are billed per minute at the rate shown when you start, and that rate is locked for the session. There is no contract and no minimum beyond having credits for one hour when you open a session.
Do I get SSH or root on the host?
You get Jupyter Lab with a terminal inside an unprivileged container. You can install packages with pip, conda or apt and use the whole GPU, but you cannot run Docker or open other ports.
Can I rent one from code?
Yes. The rental API lists available GPUs with prices and starts, inspects and stops rentals with an API key. There are also MCP servers for driving it from an AI coding assistant.