Nscale

Founded by Josh Payne

Full-stack AI cloud platform and services are designed for scale, resilience, and speed.

Cost

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Nscale to build and deploy AI models on purpose-built GPU infrastructure. It provides inference endpoints, fine-tuning capabilities, and training clusters for machine learning workloads. The service includes serverless options for quick deployment and dedicated clusters for large-scale operations. Nscale operates sustainable data centers with renewable energy sources. You get monitoring tools and automated management for GPU clusters. The infrastructure supports both virtual machines and bare metal deployments for AI applications.

What Nscale does

Deploy machine learning models as scalable API endpointsSchedule and monitor distributed training jobs across GPU clustersFine-tune pre-trained models using serverless compute resourcesSet up automated monitoring for GPU cluster health and utilizationCreate isolated testing environments for AI model developmentManage data storage and access for large-scale training workflowsConfigure networking for high-throughput multi-node trainingTrack costs and resource usage across AI workloadsServerless inference endpoints with autoscalingAPI-driven fine-tuning pipelines for custom modelsRenewable energy powered data centersReal-time GPU resource monitoring and governanceMulti-rack RDMA and InfiniBand networkingAutomated health monitoring and remediationKubernetes environments ready in under two minutesBare metal GPU clusters for maximum performance