Neysa

Neysa is an AI-native cloud platform providing on-demand GPU compute, managed model training infrastructure, and production inference services, positioned as a sovereign alternative to hyperscalers for enterprises with data-residency requirements. It offers reserved and spot NVIDIA H100 and H200 clusters interconnected with NVLink and InfiniBand, with per-second billing for fine-tuning jobs and long-running training runs. On top of raw compute, Neysa's Aegis platform provides MLOps primitives: distributed training with Ray and PyTorch, experiment tracking, model registry, evaluation harnesses, and Kubernetes-based inference deployment with autoscaling and canary rollouts. Its Nebula inference service hosts popular open models — Llama, Mistral, DeepSeek, Qwen, Gemma — behind an OpenAI-compatible API so teams can drop it into existing SDKs without code changes, and supports bring-your-own fine-tunes for private-model serving. Neysa's data-residency guarantees are attractive to regulated industries in India, Southeast Asia, and the EU that need compute in-region for compliance with local laws (DPDP, GDPR, PDPA), and its enterprise contracts include SOC 2, ISO 27001 support, and dedicated capacity. Pricing is transparent on the website for on-demand GPUs and inference tokens, with substantial discounts for reserved capacity and startup credits. The platform is a good fit for AI-first startups needing an alternative to AWS for cost and speed, and for enterprises building sovereign AI stacks.