inference.ai

Complete AI Infrastructure in One Platform

inference.ai delivers the entire AI stack — from agent deployment to GPU compute — unified under a single platform. Built for developers, enterprises, and learners who need production-grade infrastructure without the complexity of stitching together multiple vendors, inference.ai combines four core products that work seamlessly together: Ghost (agent hosting), Maestro (cost control & routing), Engine (GPU compute), and Academy (developer training).

What It Does & Who It's For

Whether you're deploying autonomous agents, training models, or learning to build AI systems, inference.ai provides the rails. Developers get persistent VMs with pre-installed tools and frontier model access. Engineering teams gain FinOps controls that cap spend and auto-route to the cheapest endpoints. ML teams reserve bare-metal GPU clusters from RTX 4090s to Blackwell B300s. Students and practitioners learn by building on the same production stack.

Core Products & Capabilities

• Ghost — Always-on agent VMs that deploy in ~60 seconds with Claude Code, Hermes, and OpenClaw pre-installed. One-click integrations to Discord, Telegram, Gmail, Lark, and WhatsApp. SSH from any device with persistent storage.
• Maestro — Unified AI gateway with every major model (OpenAI, Anthropic, Google, open-source). Real-time spend tracking by team/agent/customer, hard budget caps, anomaly alerts to Slack, and intelligent routing that picks the cheapest provider meeting your SLA with automatic failover.
• Engine — Wholesale GPU access from NVIDIA B300, B200, H200, H100, A100, L40S down to RTX consumer cards. Hourly, fractional, or reserved. InfiniBand clusters up to 4,096 cards. Custom topologies available.
• Academy — Learn AI by building on real infrastructure. TAi coaching agent evaluates reasoning (not just answers), provides targeted follow-ups, and trains you on the same Ghost VMs, Maestro credits, and Engine GPUs used in production.

Key Differentiators

Unlike fragmented toolchains, inference.ai ships as one integrated product. Deploy an agent on Ghost, control costs through Maestro's routing, scale on Engine compute, and train teams in Academy — all on the same bill, same API keys, same platform. Real-time budget enforcement prevents runaway spend. Automatic provider failover keeps services up when endpoints degrade. The learning environment mirrors production, so skills transfer directly.

Typical Workflows

1. Agent Deployment — Spin up a Ghost VM, select models via Maestro gateway, configure integrations (Discord, Telegram, email), go live in minutes.
2. Cost Optimization — Set team budgets in Maestro, define SLAs (e.g., p99 < 1000ms), let smart routing pick the cheapest endpoint automatically.
3. Model Training — Reserve GPU clusters in Engine, access via InfiniBand for distributed workloads, scale from prototyping to production.
4. Developer Onboarding — Enroll in Academy, get assigned a Ghost VM and Maestro credits, build projects coached by TAi on real infrastructure.

inference.ai consolidates what used to require multiple vendors, contracts, and integrations into one platform purpose-built for the modern AI stack.