Run open models at production scale
Access leading open models, optimize inference, choose how you deploy, and adapt models with your own data — all through one platform.
Discover the latest open models
Compare leading text, code and reasoning models, then choose the right fit for your workload. Explore all models
From model access to production in one platform
Everything you need to serve, scale and improve open models — without stitching together separate tools
Optimized inference
Run open models on serving stacks tuned for latency, throughput and cost.
Scalable infrastructure
Move from early testing to sustained production traffic on infrastructure built for demanding AI workloads.
Post-training
Adapt open models with your own data, then deploy the resulting model on Token Factory.
Choose how you deploy
Start quickly with serverless inference, or choose dedicated capacity for greater production control.
Serverless inference
Explore models and start building through a familiar API, without planning infrastructure upfront.
Best for: evaluation, prototyping and variable workloads.
Dedicated endpoints
Run models on isolated capacity when you need greater control over performance, scaling, model configuration or regional placement.
Best for: sustained traffic, custom models and production-critical workloads
Built for real production workloads
Put open models to work across high-value applications.
Proven in production
See how teams use Token Factory to run demanding AI workloads at scale.
Build on open models. Keep control of what matters
Choose the models that fit your workload, deploy them the way your product needs, and improve them with your own data. Token Factory gives you one path from first experiment to production.
