Nava

Nava develops an AI-native cloud platform purposepurpose-built for building, serving, and operating AI at scale, providing infrastructure for machine reasoning across three integrated layers. The AI Factory layer includes Inference as a Service with dynamic AI model endpoints that a central Brain automatically scales and balances in real-time for low-latency user requests, platform services for deploying and monitoring AI workloads with enterprise-grade reliability, high-performance GPU interconnect fabric optimized for distributed AI training and inference with maximum throughput and minimal latency, and purpose-built data centers engineered for AI-native workloads with sustainable, efficient, and strategically located infrastructure. The Data Platform layer provides parallel file systems for distributed high-throughput storage of large datasets, a unified data lakehouse combining raw storage, ACID-compliant tables, and query execution, a model registry for versioning and managing model artifacts across development and production, and managed vector databases for fast similarity search and embedding-based workloads. The Core Compute layer offers virtual machines optimized for AI workloads, managed self-healing Kubernetes clusters with automated orchestration, virtual private clouds with isolated networking and custom IP ranges, managed databases with built-in backup and monitoring, and durable S3-compatible object storage. Security is built into every layer with role-based access control, multi-tenant GPU isolation, multi-factor authentication, secure boot, signed model artifacts, web application firewall, security groups, and encrypted vector stores.