Rent L4 24GB GPU capacity
Run models, scripts, containers, training jobs, batch inference, and custom GPU workloads on L4 24GB-class capacity with max-cost protection.
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Available regions
Popular L4 24GB use cases
Cost-effective inference, testing, small workloads
Example commands
Run a custom job
badgr run "python job.py" \
--gpu L4 \
--max-cost 10 \
--max-runtime 120Runs a script with cost and time limits, logs streamed back
Estimated pricing & availability
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Prices below are last-seen estimates. Badgr rechecks live price and availability before launch — final cost depends on selected route, runtime, region, and workload duration.
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Frequently asked questions
Can I rent L4 24GB for non-AI workloads?
Yes. Badgr can run AI workloads, CUDA jobs, scripts, containers, batch jobs, and other GPU workloads. L4 24GB is popular for AI because that's the most common use case, but you can run any CUDA-compatible workload.
Can I run custom Docker containers on L4 24GB?
Yes. Use badgr run with a custom Docker image, or submit a container through the Compute API. Badgr handles orchestration, networking, logs, and teardown.
Does Badgr enforce max-cost limits?
Yes. Set a max-cost budget before launch. If the job would exceed it, Badgr stops the job and issues a receipt. This protects you from runaway costs.
Is L4 24GB availability guaranteed?
No. Badgr rechecks availability immediately before launch. If the route is no longer available, we notify you and suggest alternatives. This is why we show live pricing.
Do I get logs and receipts?
Yes. Stream logs in real-time while the job runs. After completion, Badgr issues a detailed receipt with compute time, cost, and resource usage.
Ready to run on L4 24GB?
Launch from the dashboard, CLI, or Compute API. Max-cost protection included.