Nexastack AI
by XenonStack
AI MSP platform for secure, compliant, and cost-optimized deployment of large language models (LLMs)
NexaStack is a unified AI infrastructure platform that allows enterprises to deploy, run, and scale any model—LLMs, vision, or multimodal—across cloud, on-premises, and edge environments. It brings performance, flexibility, and seamless orchestration under one stack.
Key Benefits
Unified AI Infrastructure Control – One-click onboarding for Azure Kubernetes Service (AKS), hybrid, and on-prem clusters with GPU-aware scheduling.
AgentOps Reliability – SLA-driven uptime, rollback registry, and failure auto-recovery for managed AI agents.
Integrated Observability – Real-time dashboards via Langfuse, Grafana, and OpenTelemetry for token-level tracing, GPU cost attribution, and anomaly detection.
Enterprise-Grade Security – IAM, RBAC, sandbox execution, rate-limits, and jailbreak protection to safeguard LLM operations.
Compliance & Governance – Automated audit logs, model cards, HIPAA/GDPR/SOC2 reporting, and Responsible AI guardrails.
Cost Optimization – Smart GPU scheduling reduces idle GPU costs by up to 60%, with per-token and per-workflow attribution.
Azure-Native & Extensible – Runs on AKS, integrates with Azure Monitor, Azure OpenAI, Defender for Cloud, and Azure Marketplace billing.
Target Users
CTOs, CIOs, and IT Leaders in regulated industries
Data Science & ML Engineering Teams
Cloud & Infrastructure Architects
Compliance Officers & Security Teams
AI-Native Startups building on Azure