Nscale Dedicated Inference
Take a supported model, deploy it on reserved Nscale GPU capacity, and access managed endpoints for production inference. Your team keeps the application and the dedicated compute, while Nscale manages the serving layer underneath.
Get managed endpoints for production inference
Running production inference on dedicated GPUs can create a trade-off: operate the serving stack yourself, including Kubernetes, serving engines, routing, model storage and GPU operations, or add a separate inference platform with its own identity, governance, and operating model.
Nscale Dedicated Inference removes the complexity: managed serving on capacity you have already reserved.
Nscale manages the serving layer underneath, while your team keeps control of the application and dedicated compute.
Why choose Nscale Dedicated Inference
Move from a supported model to a production endpoint faster, with compute, storage, networking, and serving engineered to work together.
Nscale’s visibility across infrastructure and model serving enables optimisation and troubleshooting of the complete inference path, with one accountable partner.
Nscale manages deployment, monitoring, upgrades, and rollback paths, so your team spends less time on operations and more on building AI products.
How it works
Choose your model
Start with a supported model from our model catalogue and the Nscale GPU capacity reserved for your workload.
Deploy with an Nscale profile
Deploy the model into your managed cloud environment using one of Nscale's hardware-aware deployment profiles, pre-defined for the model and accelerator. Choose the profile that fits your reserved capacity.
Connect your application
Use an endpoint while Nscale manages the serving machinery and endpoint lifecycle underneath it.
Built for AI-natives, enterprises, and developers
Built for AI-natives, foundation-model teams, and enterprises that need dedicated inference capacity and predictable production operations, without turning model serving into another platform their infrastructure teams have to build and maintain. Nscale Dedicated Inference is designed for a range of users:
For AI-natives
Provides a fast path from training to production on contiguous infrastructure, without taking on the administrative burden operations.
For enterprises
Provides single-tenant GPU nodes to support data sovereignty, with predictable SLA targets for mission-critical AI systems, without the need to invest in bespoke infrastructure.
For developers
Provides intuitive features that work with existing tools and models, reducing context-switching and streamlining workflows.