Neysa Velocis is a full-stack AI Acceleration Cloud - built for teams that build AI. It unifies your entire AI workflow, from training and fine-tuning to inference and deployment, in one system engineered for predictable performance, enterprise governance, and model security. - GPU-as-a-Service: Get access to NVIDIA B300, H200 SXM, H100 NVL, H100 SXM, L40S, L4, and AMD MI300X. Deploy as Virtual Machines, Managed Kubernetes Containers, or Bare Metal clusters. We offer them in reserved plans (12–36 month commit). - AI Platform-as-a-Service (AI PaaS): Pre-configured development environments: Jupyter, PyTorch, TensorFlow, Hugging Face, MLflow, Kubeflow Pipelines, Docker, and Git - ready to launch in minutes. Model registries, experiment tracking, CI/CD for ML, data lake creation, and DBaaS built in. - Inference-as-a-Service: Deploy open-source models (Llama, DeepSeek, Mistral, Qwen, Gemma, Mixtral) as managed inference endpoints. Custom APIs for OCR, NLP, Computer Vision, and real-time stream processing. Move from training to production with fewer handoffs. - Real-Time Monitoring: Unified observability dashboard with granular, real-time GPU utilization, disk, and NVMe metrics. Custom metrics configurable per workload. Aegis LLM Shield: Sits inline on every inference endpoint. Blocks prompt injection and jailbreaks, redacts PII in model outputs, enforces content policies, and covers OWASP LLM Top 10 risks - without changing your application code. Available as a native add-on. - AI Infrastructure Security: Zero-trust architecture. Granular RBAC by project, persona, and asset. BYOK with enterprise KMS support. Full audit logs, governance-ready and exportable. Certified and compliant by default. ISO/IEC 27001:2022, ISO 27017:2015, ISO 27018:2019, SOC2 Type II, IRDAI. Aligned to GDPR, HIPAA, India's DPDP Act, and PCI-DSS.