| What it does | Fine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure
| Agent-native AI infrastructure for building, running and scaling AI from models to agents
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| Stage | Not given
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| FR
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| Pricing model | Freemium
| 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
| Token Factory: per-token pricing from $0.010/M tokens (BGE-M3) to $0.700/M tokens (GLM 5.2) for input, with output tokens at higher rates; image generation from $0.0005 per image (FLUX.1); speech-to-text from $0.0002/min; text-to-speech at $0.99/M characters; Dedicated GPU: H100 from $2.10/hr, H200
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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
| - Token Factory: serverless inference with 30+ open models through single OpenAI-compatible key
- AgentOS: governed agent execution with tools, approvals and audit trails
- OpenAI-compatible API for text, vision, image, video and audio models
- Dedicated Endpoints with reserved GPU capacity and autoscaling
- AI Factory for VPC, on-premise and air-gapped private cloud deployment
- Fine-tuning with managed runs supporting SFT, DPO and GRPO
- Multi-model inference with intelligent routing and model switching
- Up to 99.9% uptime SLA with GDPR and SOC 2 Type II compliance
- Support for multiple runtimes and hardware accelerators including NVIDIA and AMD
- Blueprints library with ready-to-run templates for inference and fine-tuning
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| 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
| - Single OpenAI-compatible API key across 30+ models with no ecosystem lock-in
- Transparent pricing at credible market rates with automatic repricing as market moves
- Unified path from serverless inference to dedicated capacity to private cloud on same platform
- Multi-architecture fleet using NVIDIA and AMD for high utilization and lower cost per token
- Agent-native platform with governed execution, tool calls and audit trails for production workloads
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 42 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 0 | 10 |
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| Citation Flow (Majestic) | 16 | 35 |
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| Referring domains (Majestic) | 3 | 272 |
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Tensorant
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