Built for efficiency, our inference service is built on auto-scaling GPU compute, optimised at every layer for both batch and streaming workloads.
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.
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.
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.
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.
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.
