GPUniq runs every infra task: GPU provisioning, health monitoring, API routing, cost optimization, failover, deployment, and auto-scaling — across training, inference, and production workloads.
“Give me your stack — I'll keep every GPU healthy, every API route fast, and every deploy moving.”
Found RTX PRO 6000 at $0.97/h
2mGemini pricing 20% cheaper
8mRolled out cluster in Germany for faster processing
14m
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bloxels.rutrafficdata.ruprompthub.comГазпром МедиаВТБ Капиталngrow.aiprofitproject.ruton.orgjvo.rutriciti.rulork.devbloxels.rutrafficdata.ruprompthub.comГазпром МедиаВТБ Капиталngrow.aiprofitproject.ruton.orgjvo.rutriciti.rulork.devbloxels.rutrafficdata.ruprompthub.comГазпром МедиаВТБ Капиталngrow.aiprofitproject.ruton.orgjvo.rutriciti.rulork.devbloxels.rutrafficdata.ruprompthub.comГазпром МедиаВТБ Капиталngrow.aiprofitproject.ruton.orgjvo.rutriciti.rulork.devbloxels.rutrafficdata.ruprompthub.comГазпром МедиаВТБ Капиталngrow.aiprofitproject.ruton.orgjvo.rutriciti.rulork.devbloxels.ruHow it works
From the moment you connect your repo, GPUniq runs as an autonomous infra teammate — provisioning, monitoring, routing, and saving money in the background.
One CLI call → live container with your repo, secrets, and volumes mounted. SSH-ready, Jupyter-ready, no Kubernetes wrangling.
GPU models compared in real time across 10 providers
Saved on every API input & output token, automatically
TCP-pings every 15 seconds, auto-rotates workloads to a healthy host on failure. SLA tracked per task, alerts to DM.
S3-backed datasets and models snap onto any instance, anywhere. Sync runs on the GPU directly — no rebuilding the image.
Auto-downscales idle workloads, alerts before budget overrun, switches pricing plans mid-rental when it saves money.
Use anywhere
Pick how you build — web dashboard, REST API, terminal CLI, or Python SDK. One API key, one balance, one docs site.
Browse 70+ GPU models, filter by VRAM, region, and price, deploy with a single click. Live price feed, SLA monitor, and balance — straight from the browser.
Behind the build
Our founder shares the real journey of building this company on YouTube. Watch actual cases, challenges, and solutions — no marketing fluff.
GPUniq is a GPU meta-cloud that automatically selects the best GPU for your task, takes regular snapshots, and switches you to another machine during failures. It offers up to 70% savings compared to AWS, GCP, and Azure GPU instances.
GPU rental on GPUniq starts from about $0.05/hour for entry-level cards; flagship data-center GPUs such as the H100 and H200 rent for a few dollars per hour. Every model page at gpuniq.com/statistics shows the live minimum and median hourly price with 365-day history. All prices include snapshots, monitoring, and automatic failover.
GPUniq offers 70+ GPU models including NVIDIA B200, H200, H100, A100, L40S, the RTX 5090/4090/3090 consumer series, and professional RTX 6000 Ada / RTX A6000 workstation cards. Over 30,000 GPUs are live in the network; real-time availability per model is published at gpuniq.com/statistics.
If a GPU crashes during your task, GPUniq automatically saves your progress via snapshots and migrates your workload to another available machine. This ensures zero downtime and no data loss for AI training, rendering, and other compute jobs.
Start with your first GPUStart with a single GPU, an API call, or a CLI command. GPUniq turns infra setup into provisioning, monitoring, routing, and auto-scaling that just happens.
No credit card · Deploy in 30 seconds · Cancel anytime