Fine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure
On-demand GPUs and AI model APIs on one prepaid balance
Stage
Not given
MVP
Founded
Not given
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Based in
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Pricing model
Freemium
Paid
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
GPU rental: $0.15/hr (RTX 2080) to $1.79/hr (H800). Model API calls: Claude Opus 5.5 input $2.00 / output $10.00 per 1M tokens. First top-up of $10 or more earns a $5 bonus.
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
Per-minute GPU billing with no subscription
OpenAI-compatible API endpoint
2-minute GPU deployment
One-click template deployment
Multiple payment methods
Access to Claude, DeepSeek, Qwen, Llama models
No egress charges
Balance never expires
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
One balance covers both GPU rental and model API calls
Unused GPU minutes return to your balance when you destroy the instance
Designed for developers worldwide without credit card or phone requirements
Consumer GPU cards like RTX 5090 cost less than US cloud providers