AI Inference | Nscale

Ready-to-use integrations with TensorFlow Serving, PyTorch, and ONNX Runtime for high-speed inference. Our model optimisation techniques ensure reduced latency and improved performance without sacrificing accuracy.

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Optimised frameworks for inference with Nscale Inference service

Model library with dedicated endpoints for Nscale Inference service

Dedicated endpoints for 100+ open-source models

With Inference Endpoints, easily deploy Transformers, Diffusers or any custom model on dedicated, fully managed infrastructure. Access 100+ models, optimised with Nscale’s proprietary software for maximum performance.

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Built on high-performance GPU compute

Our inference service is built on the latest AMD Instinct-series GPU accelerators. Combined with high-speed networking and fast storage, we deliver unmatched computational power for batch and streaming AI workloads.

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AMD MI300X cluster for Nscale's Inference service

Performance & Scalability

Auto-scaling GPU compute is our bread and butter. Know your AI is being served at speed while effectively utilising all of its allocated resources.

Purpose-built Stack

Get all the cost and performance benefits of a fully integrated infrastructure stack, purpose built for AI workloads of all scales.

No Integration Hurdles

We take flexibility seriously. Take advantage of pre-configured software or easily integrate with your own tools and workflow.

Nscale's vertically integrated suite of services and compute

Get access to a fully integrated  suite of AI services and compute

Reduce costs, grow revenue, and run your AI workloads more efficiently on a fully integrated platform. Whether you're using Nscale's built-in AI/ML tools or your own, our platform is designed to simplify the journey from development to production.

Nscale's Datacentres

LLM Library

Pre-configured Software

Pre-configured Infrastructure

Job Management

Job-scheduling

Container Orchestration

Optimised Libraries

Optimised Compilers and Tools

Optimised Runtime

FAQs

What makes your AI inference service different from others?

Our AI inference service leverages cutting-edge AMD GPUs, such as MI300X, optimised for both batch and streaming workloads. With our integrated software stack and orchestration using Kubernetes and SLURM, we provide unmatched performance, scalability, and efficiency.

Can I integrate existing LLMs with your inference service?

Yes, we have a library of popular open source models that you can deploy and use at any time. On top of this, our service supports integration with popular AI frameworks like TensorFlow, PyTorch, and ONNX Runtime, allowing you to seamlessly deploy and use your existing models.

What kind of support and optimisations do you offer for AI inference workloads?

We provide comprehensive support, including performance tuning, model optimisation techniques such as quantisation and pruning, and continuous monitoring. Our team ensures that your AI inference workloads run efficiently and effectively, maximising performance and reducing latency.

How secure is your AI inference service?

Security is a top priority for us at Nscale. We have implemented robust authentication and authorisation measures, including support for OAuth2, SSO, and 2FA. We encrypt data at rest and in transit, and adhere to industry standards and regulations such as GDPR and HIPAA. Our multi-tenant environments ensure resource isolation and data privacy for all users.