| What it does | Fine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure
| Cloud GPU rental with persistent workspace for AI work
|
|---|
| Stage | Not given
| Startup
|
|---|
| Founded | Not given
| 2026
|
|---|
| Based in | Not given
| US
|
|---|
| 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
| Workspace: $0.24/hr. Machines: L4 (24 GB) from $1.40/hr, L40S (48 GB) from $2.64/hr, RTX PRO 6000 (96 GB) from $4.74/hr. System RAM options from 32 GB to 256 GB. Storage: $0.15 per GB-month written, shared folder $0.10 per GB-month, traffic out $0.10 per GB. New accounts get $10 credit to try after
|
|---|
| 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
| - Persistent workspace that pauses when idle, preserving files and apps
- Snapshots to save and restore workspace setup
- Shared folder accessible to all machines
- One-click app installation including ComfyUI, PyTorch, Ollama, vLLM, JupyterLab, VS Code
- Batch job support with automatic machine pause after completion
- Multiple access methods: SSH, VS Code, native apps, AI assistants
- Automatic pause after 15 minutes of inactivity, stopping GPU charges
- Pay-by-minute billing with no monthly plan requirements
- Claude MCP connector for AI assistant integration
|
|---|
| 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
| - Unlike rented GPU pods that delete everything when stopped, Hinode keeps your workspace with all files, apps and models intact
- Machines start with your apps and setup already installed via snapshots, no upload needed
- Automatic pause after 15 minutes of inactivity eliminates wasted spend on idle GPUs
- Shared folder lets all machines access models and datasets without copying
- Pay by the minute from $10 prepaid credit with $10 trial for new users
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 9 ▲ +1 (up) since last check |
|---|
| Trust Flow (Majestic) | 0 | 1 |
|---|
| Citation Flow (Majestic) | 16 | 23 |
|---|
| Referring domains (Majestic) | 3 | 58 |
|---|
Tensorant
Hinode