AI inference & GPU cloud
Tensorant
Fine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure
- 0community votes
- 0DR by Ahrefs no change since last check
Ahrefs Domain Rating signal 13 Nov 2026, signal shifted 25 Oct 2026.
A platform to build datasets, fine-tune open-weight models, evaluate results and serve inference on GPUs in your own cloud account, without writing training
What it is
Tensorant is a platform that handles the complete workflow of preparing data, fine-tuning open-weight models, evaluating results, and serving inference. Users upload documents or datasets, build training examples through recipes, and train models using SFT, DPO, or RL without writing training scripts. The platform checks that chosen configurations fit the model and stay within cost caps. Training, evaluation, and serving run on GPUs in the user's own cloud account (RunPod, Verda, Lambda, AWS or Azure), which bills directly to the user with no markup from Tensorant. Published models are called via OpenAI-compatible API using standard SDKs, or controlled through an AI agent via MCP. All user data, sources, examples and adapters are kept in the user's own storage.
Systems
- 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
Pricing
Pricing model: Freemium
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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Tensorant metrics
Signal readout for tensorant.io: Ahrefs Domain Rating and Majestic link signals, arrows for the change since the last scan.
- 0 Domain Rating no change since last check
- 0 Trust Flow no change since last check
- 16 Citation Flow no change since last check
- 3 Referring domains no change since last check
- 4 External backlinks no change since last check
Ahrefs Domain Rating signal 13 Nov 2026, signal shifted 25 Oct 2026. Majestic signal 25 Oct 2026, signal shifted 25 Oct 2026. Link signals from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Tensorant domain signal
Show the signal details
Public RDAP record, last read 12 Nov 2026, 18:51 UTC.
- Domain age 1 month
- Registered
- Expires
- Registrar HOSTINGER operations, UAB
- DNSSEC Not signed
Tensorant post-launch signal
The record for Tensorant after its launch on Nexora Launch (25 October 2026), from the readings we keep.
- 0 Domain Rating (Ahrefs) no change since launch
at launch: 0 (25 Oct 2026); latest: 12 Nov 2026 - 0 Trust Flow (Majestic)
first measured 25 Oct 2026 - 3 Referring domains (Majestic)
first measured 25 Oct 2026
Day 18 since launch. Next receipt: day 30, 24 Nov 2026. A change here is a reading, not a claim about its cause; lots of things move these figures. Anything we do not measure is not shown.
Got a launch coming up?
Plan your launch with our free playbook, from preparing your listing to choosing more launch directories.
Quick answers
- Do I need to write code?
- No. Building the dataset, training, evaluating and serving all happen in the console, or through your agent over MCP. You write code only to call your published models, with the OpenAI SDK or any HTTP client.
- Do I need my own GPUs?
- You connect your own GPU cloud account. Training runs, deployments and published models start there, and it bills you directly at its own prices. Tensorant adds no markup, and every run has an hour limit and an hourly price limit you set.
- What does it cost?
- Your Tensorant plan, plus what your providers bill your own accounts: GPU time, storage, and any model endpoint you use to write or judge examples. Free is $0, Starter is $49 a month and Pro is $199 a month, with images, RL training, decision models, 10 seats and $30 a month for each extra seat. Enterprise has custom pricing and limits, and can be self-hosted on your own infrastructure. A model that sleeps costs no GPU time, but its storage still bills.
- Where does my data live?
- Your sources, examples, versions, evaluation answers and adapters are kept in your own storage. Your content passes through Tensorant while you import, review or score it, and requests to a published model pass through on their way to your GPU.
- Can I train on preferences instead of answers?
- Yes. SFT learns the answers you approve; DPO learns from pairs of a preferred and a less preferred answer to the same prompt, with text or image prompts and LoRA or QLoRA.
Tensorant has a free listing. The owner can unlock the full profile with a paid launch for $5:
- Founder story (locked)
- Milestones (locked)
- Demo video (locked)
- Dofollow website link (locked)
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