DEDICATED MODEL INFERENCE
Build a dedicated inference deployment around your workload. Work with Token360 on model selection, capacity planning, and production operations, with a deployment plan tailored to your needs.
Dedicated compute
Your model workload
Token360 · deployment & operations
BEYOND A SHARED ENDPOINT
When your model, traffic, or operating requirements call for a tailored deployment, start with a conversation about dedicated inference.
Discuss reserved capacity for steady traffic, batch jobs, or latency-sensitive applications. Size the deployment against your actual workload.
Explore deployment options for supported open-weight and fine-tuned models. Our team reviews model architecture, licensing, and runtime needs.
Define performance targets, deployment requirements, and operational responsibilities together before moving into production.
BUILT AROUND YOUR REQUIREMENTS
Review model weights, context length, precision, and inference runtime compatibility.
Scope compute capacity and benchmark representative requests against your latency and throughput targets.
Agree endpoint access, API integration, and any network or isolation requirements for your deployment.
Define monitoring, rollout procedures, support coverage, and commercial terms with the team.
HOW WE WORK
Share your model, expected traffic, latency targets, and deployment requirements.
Review model compatibility, capacity, pricing, and the delivery plan with our technical team.
Benchmark the agreed setup and confirm integration and operating arrangements before production.
Dedicated inference runs a model using compute capacity reserved for a particular workload. The deployment can be scoped around the model, traffic pattern, and operational requirements rather than a general shared API.
Contact us with the model name or weights, license, and expected workload. Supported architectures, fine-tuned variants, and runtime requirements are reviewed as part of your deployment plan.
Share your current API format and application requirements. Our team will confirm endpoint compatibility and any changes needed for the agreed deployment.
Capacity and commercial terms depend on the model, compute requirements, expected traffic, and support scope. Contact Sales for a tailored proposal.
Include these requirements in your inquiry. Available deployment regions, isolation arrangements, support coverage, and any contractual service levels are confirmed in the proposal.
LET’S BUILD YOUR DEPLOYMENT
Tell us which model you want to run and what production needs to look like. We’ll work through the deployment with you.
Contact Sales
