Fine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure
Stage
Not given
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Founded
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Based in
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Pricing model
Paid
Freemium
Pricing
Not given
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
Key features
Adapter registry with 191+ production-ready fine-tunes for discovery
In-browser A/B testing playground to compare adapters against base models
One-click deployment to serverless API endpoints with OpenAI-compatible format
Multi-adapter serving on single base model with zero cold starts
Automated fine-tuning with Unsloth-optimized kernels
Creator monetization with per-token revenue sharing
IP protection with managed endpoints and no public weight downloads
Framework integration as OpenAI-compatible proxy
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
What makes it different
2x-5x faster fine-tuning using Unsloth-optimized kernels compared to traditional methods
Creators earn 70% revenue share on every token served through their adapters
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
AptAI
Tensorant