Run GPU jobs or serve open-source models across available providers with spend caps, fallback routing, startup health checks, logs, teardown, and receipts.
No setup fees. No monthly minimum. Pay only while your workload runs.
Batch inference, evals, LoRA fine-tuning, transcription, image/video, and embeddings — with cost caps and receipts.
GPU compute →Deploy supported open-source models as OpenAI-compatible endpoints with health checks, logs, fallback, and teardown.
Model serving →Route OpenAI, Claude, Gemini, and open-model requests through one OpenAI-compatible endpoint with retries, fallback, and request receipts.
Badgr helps workloads start successfully, stop cleanly, and avoid wasted GPU spend.
Badgr confirms the GPU can run your workload before provisioning anything.
Set a spend cap before launch. The job stops automatically when it hits the limit.
Badgr verifies the workload is running correctly before marking it ready.
Jobs stop when they finish or hit your limit, so billing never runs away.
Every run produces a full log and a receipt — even if the job fails.
Badgr routes to available capacity across providers so you don't chase inventory.
From real-time inference to overnight batch jobs.
AI API
Route OpenAI, Claude, Gemini, and supported open-model requests through one OpenAI-compatible endpoint with retries, fallback routing, spend visibility, and request-level receipts.
See AI API →Fallback routing
Fail over to a backup model automatically.
Request-level receipts
Every call gets a cost, route, and latency record.
OpenAI-compatible
One base URL swap. Your SDK keeps working.
Need dedicated or larger GPU capacity?
Request A100, H100, or L40S capacity for multi-GPU workloads or longer runs. No login required. Quote within one business day.