🚀 ManagedLLM is now available - Enterprise AI infrastructure with zero DevOps overhead Get Started
Production-Ready • 10,000+ Concurrent Requests • Sub-500ms Latency

Complete AI Platform Architecture

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.

Platform

Enterprise AI Infrastructure

Enterprise AI Platform Architecture

Compute Layer

Dedicated H100/A100 clusters with custom CUDA kernels for optimal performance

AI Orchestration

Native MCP support with agent-to-agent communication and workflow automation

Security Layer

Xilos-powered threat detection with real-time policy enforcement and audit trails

Management

Comprehensive monitoring, alerting, and performance optimization with intuitive dashboards

Layered Architecture

Application Layer

APIs, SDKs, Web UI, Mobile Apps

Orchestration Layer

Workflow Engine, Agent Management, Request Routing

Security Layer

Xilos Integration, Policy Engine, Audit Logging

Compute Layer

GPU Clusters, Model Serving, Auto-scaling

Infrastructure Layer

Kubernetes, Networking, Storage, Monitoring

Core Platform Capabilities

High-Performance Inference

Custom-optimized GPU infrastructure delivers consistent sub-500ms p95 latency with support for 10,000+ concurrent requests.

Custom CUDA Kernels: Model-specific optimizations for maximum performance on H100/A100 clusters.
Auto-scaling: Seamless scaling from 1 to 10,000+ concurrent requests with consistent latency.
Model Library: 200+ open-source models (Llama 3.1, Deepseek, Qwen) ready for deployment.

Performance Metrics

10,000+
Concurrent Requests
<500ms
P95 Latency
99.9%
Uptime SLA
200+
Available Models
Production-Ready Performance

AI Orchestration Stack

Agent Management
Deploy and manage AI agents at scale
MCP Protocol
Native Model Context Protocol support
Workflow Engine
Complex AI workflow automation

Native AI Orchestration

Built-in orchestration capabilities enable complex AI workflows with agent-to-agent communication, multi-model deployments, and intelligent request routing.

MCP Support: Native Model Context Protocol integration for seamless agent communication.
Multi-Model: Deploy and orchestrate multiple AI models simultaneously with unified management.
Workflow Automation: Complex AI pipelines with conditional logic and error handling.

Enterprise-Grade Features

Data Sovereignty

Complete control over data location and processing with air-gapped deployment options for maximum security and compliance.

  • • Geographic data residency controls
  • • Air-gapped deployment options
  • • Immutable audit trails

Intelligence Engineering

Advanced caching, embedding deduplication, and compute optimization reduces inference costs by up to 60%.

  • • Xilos intelligent caching layer
  • • Embedding deduplication
  • • Request optimization

Comprehensive Monitoring

Real-time observability with OpenTelemetry compatibility and integration with enterprise monitoring tools.

  • • OpenTelemetry metrics and tracing
  • • Datadog, New Relic integration
  • • Custom dashboard creation

Enterprise APIs

RESTful APIs, GraphQL endpoints, and WebSocket connections with comprehensive SDK support for all major languages.

  • • REST, GraphQL, WebSocket APIs
  • • Multi-language SDK support
  • • Rate limiting and throttling

DevOps Integration

GitOps workflows, Infrastructure-as-Code, and CI/CD pipeline integration for seamless development lifecycles.

  • • GitOps workflow automation
  • • Infrastructure-as-Code support
  • • CI/CD pipeline integration

Expert Support

24/7 technical support from ML engineers, not general support staff. Dedicated technical account management included.

  • • 24/7 ML engineer support
  • • Technical account management
  • • Architecture review sessions

See the Platform in Action

Experience the power of enterprise AI infrastructure with a personalized platform demonstration tailored to your specific use case and requirements.

Live Demo

Interactive platform walkthrough with real-time performance metrics

Architecture Review

Detailed technical discussion of platform components and capabilities

Performance Analysis

Benchmarking against your current infrastructure and requirements

Schedule Platform Demo