Matched to your workload
Pick a card that fits what you are building, whether that is fine-tuning, inference, rendering or a weekend experiment, instead of paying for capacity you will mostly leave idle.
RTX Community Nodes
For the GPU you actually need.
For builders between laptop limits and enterprise budgets. Rent RTX GPUs matched to your workload.
Where RTX community nodes sit
Laptop limitsRuns out of memory before the real work starts
RTX community nodesMatched to your workload, priced to match
Enterprise budgetsMore card than most projects will ever use
Why RTX
Enough GPU for the work in front of you
Priced like the hardware it is
Consumer and prosumer cards rent at a fraction of enterprise rates, so your budget stretches across more hours and more experiments rather than one expensive instance.
Backed by the edge network
RTX Community Nodes are contributed by the Theta Edge Network around the world, giving you distributed capacity that scales with the community rather than a single data centre.
Powered by the Theta Edge Network and its partners
The honest case
You probably don't need an H100
The top tier cards were built for training large foundation models across many machines at once. That is a real job, and when you have it the H100 and H200 earn their price.
Most builders are doing something more grounded. Fine-tuning a model that already exists, serving inference for an app, rendering a scene, or testing an idea before the weekend is over.
For work like that, a consumer or prosumer RTX card gives you the memory and throughput you need without the enterprise premium sitting on top. You can always move up when a project genuinely calls for it, and until then, paying top tier rates for capacity you barely touch is budget that could go towards shipping.
Browse RTX nodes
Live pricing
Current RTX node pricing
Hourly rates across available RTX community nodes, loaded directly from Theta EdgeCloud.
Live RTX availability and hourly rates are listed on the GPU node marketplace.
What are RTX Community Nodes?
Individual NVIDIA RTX GPUs (like the RTX 3090, 4090, and 5090) contributed by independent operators worldwide and made available for hourly rental. They give builders access to consumer- and prosumer-grade GPU power without enterprise-scale budgets or contracts.
How is this different from renting an H100 or H200?
H100s and H200s are enterprise-grade cards built for training large foundation models across many machines at once — powerful, but priced for that scale. RTX cards suit smaller, more common jobs like fine-tuning, inference, and rendering, at a fraction of the cost.
What can I actually run on an RTX GPU?
Most day-to-day AI and creative workloads: fine-tuning an existing model, running inference for an app, rendering a scene, or testing an early-stage idea. If a project later needs H100/H200-level scale, you can move up at any time — nothing locks you into one tier.
Why is this priced lower than data-center GPUs?
Consumer and prosumer cards cost operators less to run than data-center hardware, and that saving passes through as lower hourly rates. Because nodes come from a distributed community of operators rather than a single data center, pricing tracks real hardware cost rather than enterprise overhead.
How do I know which GPU fits my workload?
It depends on model size, memory needs, and whether you're fine-tuning, running inference, or rendering. The short workload quiz on this page asks about your project and points you to a tier that fits, so you avoid over- or under-provisioning.
How reliable are community-hosted GPUs?
Each node shows a live reliability score based on its uptime history, so you know what you're renting before committing. Reliability varies by operator, which is why it's displayed transparently on every listing — choose a node with the track record your workload needs.
Understand your workload.
Understand why the most expensive isn't always the best and what an RTX GPU could do for you.