InferX

Provides inference infrastructure for running AI models in production that restores initialized CPU and GPU runtime state on demand to avoid paying for idle GPUs and long cold starts. Serves developers, data and operations teams in startups, enterprises, cloud providers and regulated industries that need to deploy and scale models. Differentiates by restoring snapshot state and attaching GPU capacity per request with scale-to-zero and OpenAI-compatible APIs versus keeping GPUs always on or rebuilding state from scratch.

Key features

• OpenAI-compatible API endpoints
• Pay-per-usage / pay-per-token pricing
• Sovereign Endpoints for custom models
• On-prem platform deployment
• Sub-second cold starts
• Scale to zero when idle
• Snapshot restore of runtime state
• GPU slicing and pooling
• Secure container isolation
• Encrypted in transit
• Zero data retention
• VM-level workload isolation
• Kubernetes and bare metal support
• Air-gapped deployment support