End-to-end AI infrastructure designed for enterprise scale. From GPU optimization and model serving to intelligent caching and orchestration - everything you need to deploy AI at production scale with zero DevOps overhead.
Enterprise AI Infrastructure
Dedicated H100/A100 clusters with custom CUDA kernels for optimal performance
Native MCP support with agent-to-agent communication and workflow automation
Xilos-powered threat detection with real-time policy enforcement and audit trails
Comprehensive monitoring, alerting, and performance optimization with intuitive dashboards
APIs, SDKs, Web UI, Mobile Apps
Workflow Engine, Agent Management, Request Routing
Xilos Integration, Policy Engine, Audit Logging
GPU Clusters, Model Serving, Auto-scaling
Kubernetes, Networking, Storage, Monitoring
Custom-optimized GPU infrastructure delivers consistent sub-500ms p95 latency with support for 10,000+ concurrent requests.
Built-in orchestration capabilities enable complex AI workflows with agent-to-agent communication, multi-model deployments, and intelligent request routing.
Complete control over data location and processing with air-gapped deployment options for maximum security and compliance.
Advanced caching, embedding deduplication, and compute optimization reduces inference costs by up to 60%.
Real-time observability with OpenTelemetry compatibility and integration with enterprise monitoring tools.
RESTful APIs, GraphQL endpoints, and WebSocket connections with comprehensive SDK support for all major languages.
GitOps workflows, Infrastructure-as-Code, and CI/CD pipeline integration for seamless development lifecycles.
24/7 technical support from ML engineers, not general support staff. Dedicated technical account management included.
Experience the power of enterprise AI infrastructure with a personalized platform demonstration tailored to your specific use case and requirements.
Interactive platform walkthrough with real-time performance metrics
Detailed technical discussion of platform components and capabilities
Benchmarking against your current infrastructure and requirements