Scale from zero to thousands
Burst on demand around your real traffic, then settle back to nothing. Reserve capacity when you need guaranteed throughput, region, or priority.
BetaScale AI without paying
Scale AI without paying
for idle infrastructure.
Deploy and scale your AI workloads on Runware's optimized hardware. Pay only for the runtime you use, billed by the second, with no infrastructure to manage and capacity that scales with demand.
$1.99per GPU-hourat launch
Runtime pricing
Pay-per-second runtime billing at bare-metal price points.
Pay only for the time you use - not cold starts, not idle capacity. Flexible by default with no commitment, or reserve capacity for a lower rate. Runware's optimized hardware and software acceleration bring serverless price points down to levels usually reserved for long-term bare-metal rentals.
Typical market rateComparable serverless GPU capacity$3–4+
Runware launch priceRTX PRO 6000 · 96 GB GDDR7$1.99
Per GPU-hour, workhorse inference capacity. Running our own optimized hardware lets us offer some of the best rates in the industry, and launch pricing is limited, so lock in your rate early. List rates move around, so check the math on your own workload.ProfileMemory / classTypical usePer secondPer hourTerms
vCPU nodeCPU service profileChatbot apps, routing, Comfy servers, orchestration$0.0000044 / vCPU-sec$0.016On-demand or reserved
RTX PRO 6000Launch96 GB GDDR7Runware workhorse inference$0.000553 / GPU-sec$1.99as low as $0.99Launch reserved pricing
H10080 GB HBMHigh-throughput inference and compatibility needs$0.000767 / GPU-sec$2.76Launch pricing preview
H200141 GB HBM3eLarge-context and memory-heavy inference$0.000883 / GPU-sec$3.18Launch pricing preview
B200Premium reservedLarge reserved deployments and premium clusters$0.001386 / GPU-sec$4.99Reserved cluster pricing
B300Premium reservedFrontier reserved clusters with custom specsCustomCustom1 to 2 year reserved terms
You pay for runtime, not infrastructure ownership. The meter runs while your application does. A cost-efficient GPU covers most inference; higher-memory and frontier classes are available from our wider pool, so you can match the hardware to your workload.
Reserved capacity
Lower rates when you reserve capacity.
Run flexible with no commitment and per-second billing, or reserve capacity for guaranteed availability, concurrency, and region at a lower rate. Reservation terms are optional and scoped to your scale.
Reserved capacityUp to 50%lower than on-demand
Lock in lower economics and deployment priority with a reservation when your workload is steady. No commitment required when it isn't.
DeployOne deploy.
One deploy.
We run the rest.
Bring a container, an existing server, or model code and get a production endpoint that scales with traffic, with support for both fast synchronous calls and long-running jobs. Scaling, routing, and recovery are ours to run, not yours.
Source, configure, compute - step through the deploy flow and you have a live, autoscaling endpoint.
How it works
Serverless runtime for code, containers, and applications.
01 · PackagePackage the
Package the
workload
Code, a container, an existing server, or your application. Private registries and runtime secrets included.
02 · GPUChoose a
Choose a
GPU class
A cost-efficient default covers most inference. Reach for higher-memory or frontier classes from the wider pool when a workload needs them.
03 · ScaleScale with
Scale with
usage
Burst on demand for peaks, then settle back to normal. Reserve a capacity envelope when throughput must be guaranteed.
04 · VisibilityFull cost
Full cost
visibility
Logs, worker state, latency, errors, and live cost. You always know what's running and exactly what you're saving against the alternatives.
Platform features
Managed serverless toolkit.
Everything below ships with every application. No enterprise-tier gating on the basics.
Per-second runtime billing
You pay while your application runs, not for idle capacity you own. The clearest way to keep inference costs tied to demand.
No infrastructure to run
Scaling, routing, and recovery are handled for you. You deploy; we keep it healthy and serving traffic.
Sync and async, handled
Fast calls return immediately; long renders and big batches are queued and executed for you, without timeout gymnastics.
Logs, state, usage, cost
Application state, latency, errors, and live cost visibility built in. The dashboard you'd build yourself, already there.
Private registries and secrets
Pull private images and inject runtime secrets safely. Your code and weights stay yours.
What you pay for
- running
- held warm
- reserved capacity
You're billed by the second while your application runs or is held warm. Reserved capacity is billable even when idle, because you're holding it.
What you never pay for
- scheduling wait
- image pulls
- our failures
On-demand waits, image pulls, and platform failures are our cost, not yours.
Compute FAQ
The questions we'd ask too.
Is this GPU rental?
No, and that's kind of the point. You never touch a node. You deploy an application; we run, scale, route, and meter it. You pay for runtime, not for babysitting infrastructure.
What can I run?
Code, containers, existing servers, custom inference applications, CPU-heavy app workloads, and GPU workloads. Image, video, audio, 3D, LLM, custom apps. If it serves traffic, it fits.
Can I reserve capacity?
Yes, and at scale you'll want to. On-demand covers bursts; reserved envelopes give you guaranteed availability, concurrency, region, and deployment priority, up to 50% lower pricing depending on duration, availability, and scale.
How is billing calculated?
Per second of runtime against the GPU class you choose, shown as per-hour equivalents. You're billed while your application is running or held warm. On-demand scheduling waits, image pulls, and platform failures are our cost. Reserved capacity is billable even while idle, because you're holding warm capacity.
Which GPUs can I run on?
A cost-efficient default covers most inference. Higher-memory and frontier GPU classes are available from our wider pool, so you can match the hardware to your workload. Reserved clusters are scoped per deployment; talk to us if you need them.
Runware Serverless Beta
Stop paying for idle GPUs.
Deploy an application, pick a profile, pay for runtime. If our math doesn't beat your current bill, don't switch, but do check the math.
Request access
Tell us what you're running and at what scale. We read every one of these.