Fine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure
Run your product's AI features on machines you already own
Stage
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Founded
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Based in
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IL
Pricing model
Freemium
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Pricing
Free: $0 (1 training run per month, 1 model deployment, 1 member); Starter: $49/month (5 training runs per month, 5 model deployments, 1 member); Pro: $199/month (unlimited training runs, 1,000 model deployments, 10 included members, $30/month for each extra seat); Enterprise: custom pricing. Free i
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Key features
Train models with SFT, DPO, or RL using LoRA or QLoRA
Monitor training with real-time loss, time and cost tracking
Evaluate models by comparing base and tuned performance
Serve models as OpenAI-compatible API or wake-on-demand
Support for vision models including Gemma 4 and Qwen3.8
DPO preference learning from paired answers
Run budget-controlled experiments with hour and price limits
Download adapters as standard LoRA files or publish to Hugging Face
OpenAI-compatible API
Zero data retention
Automatic idle detection and workload routing
MDM-based agent installation
Cloud fallback with transparent logging
Support for Macs, Windows and Linux
Memory and speed estimation for models
Optional on-premises deployment
Data routing controls for sensitive workloads
What makes it different
No training scripts required; workflow runs in console, CLI or via AI agent
GPU costs billed by your provider with zero markup from Tensorant
Data stays in your own storage; Tensorant keeps only workflow records
Free plan covers complete workflow on one model from import to API
Models are downloadable and portable to other platforms
Costs stay flat as you grow because you pay for electricity instead of per-token cloud fees
Only uses idle time, stepping back immediately when users return
Code stays the same - just change the API base URL and key
Works with hardware you already own without buying new equipment
Tensorant
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