Fine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure
AI compute from the edge to cloud with breakthrough efficiency and sustainability
Stage
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Founded
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2022
Based in
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US
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
Analog in-memory computing architecture
Multiple form factors from chiplets to PCIe cards
20x higher efficiency than industry-leading products
9x higher compute density than industry-leading products
10x lower total cost of ownership for inference
100x lower CO2 emissions versus cloud
On-device and local processing for data privacy
Seamless edge-to-cloud orchestration
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
Only scalable analog in-memory computing platform overcoming fundamental limits of digital approaches
Unmatched efficiency enabling advanced AI models without power or space constraints
Extreme cost savings with 10x lower TCO compared to cloud-based inference
Drastically reduced environmental impact with 100x lower CO2 emissions
Leadership team with 20+ years of AI hardware and semiconductor innovation
Tensorant
EnCharge AI