Inceptron

What it does

Inceptron is an inference platform for companies deploying open-source or fine-tuned AI models in production. Teams can choose from its model library or import custom checkpoints, then create versioned endpoints with API keys, access controls, and rollout policies. Requests can be sent to its chat-completions API using cURL or Python and JavaScript client examples; the output is a model response returned by the API.

The current platform offers autoscaling, dynamic batching, scheduled inference and workload logging and metrics. Compiler-based optimization, including graph fusion, kernel tuning, memory planning and compression, is advertised separately in early access; console signup does not establish compiler admission. The platform serves AI product teams operating inference workloads through serverless APIs and dedicated GPUs. Create a console account and API key to start. Dedicated GPUs have hourly prices; confirm serverless model rates, limits and availability before deployment.

What it can do

• Serve models from a curated library or import custom checkpoints
• Create versioned endpoints with keys, access controls, and rollout policies
• Call chat completions through an API
• Optimize inference using graph fusion, kernel auto-tuning, and memory planning (compiler early access)
• Apply quantization and pruning for model compression (compiler early access)
• Scale and batch inference requests dynamically
• View integrated workload logging, metrics, and traces

Works with

• OpenAI-compatible Python and JavaScript clients

Before you choose

• The API examples require an Inceptron API key; using a client library alone does not provide access.
• Dedicated GPU rates are hourly; confirm serverless model rates and any compiler early-access requirements.
• Confirm model limits, hardware compatibility and availability before deployment.

Listed under

• Coding
• API
• Developers
• Eu data residency
• GPU
• Inference
• ML infrastructure

Get started

Create a console account, then use an API key for requests.

1. Create an account through the Inceptron console.
2. Select a model from the library or import a custom checkpoint.
3. Create an API key and send a chat-completions request using the documented endpoint and a supported client or cURL.

Dedicated GPUs: H100 80 GB $3/hour, H200 141 GB $5/hour and B200 180 GB $8/hour. Serverless model rates vary and require confirmation. Optional prepaid commitments are separate from hourly usage. Dollar currency code is unconfirmed.

Source: inceptron.io/pricing, checked 2 Nov 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 2 Nov 2026. Each source supports part of the overview; availability and prices can change.

• Inceptron — Best Price-Performance for AI Inference ↗www.inceptron.io
• Inceptron Docs ↗docs.inceptron.io
• Inceptron ↗console.inceptron.io
• Inceptron Pricing — Serverless Tokens & Dedicated GPU Rates ↗www.inceptron.io
• Inceptron — Best Price-Performance for AI Inference ↗www.inceptron.io

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inceptron.io: product, pricing and policy pages

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Last checked 2 Nov 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.