Scale without constraints
Dedicated endpoints run large models at stable sub-second latency. Prototype to production without re-platforming — autoscaling absorbs hundreds of millions of tokens per minute.
Products · Token Factory
Infraeon Token Factory
Enterprise-grade inference at token scale — from open-source models to a governed production environment.
Fast performance
Effortless optimization
Enterprise security
Run open-source AI at production speed
Deploy Llama, Qwen, DeepSeek and other leading open-weight models on dedicated endpoints — with sub-second response targets, 99.9% availability, autoscaling and speculative decoding that keep latency predictable at any scale.
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Capabilities
Everything inference needs, in one platform
Optimized pricing for inference
Shared and dedicated tiers, transparent per-token pricing. An optimized serving stack and distillation options keep unit costs falling — accuracy validated on public benchmarks.
Frontier multimodal models
60+ curated open models behind one API: text, code, reasoning and vision. Combine modalities in production without juggling providers.
Agent-building essentials
Native function calling, structured JSON output and built-in safety guardrails — the primitives production agents are made of.
Custom & fine-tuned models
Fine-tune on your data, deploy your own checkpoints to endpoints, keep the same per-token economics and performance guarantees.
RAG development tools
High-performance embedding models plus managed vector storage — indexing, retrieval and generation governed in one place.
Inside Token Factory
Three tools, one workflow
Inference service
OpenAI-compatible API for text, code and vision models, backed by a production SLA.
Data Lab
Turn production logs and existing datasets into reusable training data — explore, curate, and feed the next model iteration.
Post-training
Pipelined SFT and preference-tuning workflows: adapt open models to your data, deploy back to endpoints in one click.
Model library
Top open-source models available
Text & multimodal
Llama 4Qwen3DeepSeek-V4
Kimi K2GLM-5Mistral Large
GPT-OSS 120BNemotron-3
Embedding & guardrails
BGE-M3e5-mistralQwen3-Embedding
Llama-GuardShieldGemma
Model lineup rotates monthly — request a model and we’ll prioritize it.
Benchmark-backed
Performance and cost efficiency, verified
Proven performance
Sub-second responses that hold at peak — mainstream model performance validated against public third-party benchmarks.
Scale without limits
100M+ tokens per minute of design capacity, 99.9% SLA, autoscaling plus speculative decoding.
Comprehensive coverage
60+ curated models across LLM, vision, reasoning and embeddings, expanded monthly.
Familiar API
One base URL away
Token Factory speaks the OpenAI API format. If your code already calls an OpenAI-compatible endpoint, migration is a two-line change.
Learn more about our API# pip install openai from openai import OpenAI client = OpenAI( base_url="https://api.infraeon.ai/v1", api_key="YOUR_TOKEN", ) resp = client.chat.completions.create( model="qwen3-235b", messages=[{"role": "user", "content": "Sawasdee, Bangkok!"}], ) print(resp.choices[0].message.content)
FAQ
Questions and answers
Can Token Factory handle production workloads?
Yes — dedicated endpoints carry a 99.9% availability SLA with autoscaling and multi-zone failover inside our Bangkok facility.
How do I request a new open-source model?
Email us the model name and your use case. Popular requests ship in the monthly model refresh; dedicated endpoints can run custom builds sooner.
What do dedicated endpoints include?
Isolated capacity, your own rate limits, a 99.9% SLA, and optional zero-retention mode for sensitive traffic.
Can I deploy my own fine-tuned model?
Yes. Bring a checkpoint from our post-training pipeline or your own stack — we package it onto an endpoint with the same per-token pricing.
Where does my data go?
Prompts and responses stay in Thailand. Zero-retention mode is available on dedicated tiers; see the Trust Center for details.
What are the rate limits?
Shared tiers start with generous defaults; raise them with a usage history or move to dedicated capacity for custom limits.
How do I build RAG on Token Factory?
Use our embedding endpoints with managed vector storage, then call chat models with retrieved context — a cookbook is in the docs.
How does pricing compare to other providers?
Input and output tokens are priced separately with no hidden surcharges. Most teams see a lower effective cost per request at production volume — check the price list.
What enterprise options exist?
Custom DPA, SSO/RBAC on request, consolidated billing and a shared support channel with our engineers.
Is there a free tier?
Yes — a monthly free allowance for evaluation on shared endpoints. No credit card required to start.
More to know
Start your journey today
Tell us about your workload — an engineer, not a sales bot, will get back to you within one business day.