AI platform + operated compute

Full-Stack AI Compute Driven by Intelligent Management Software

We combine high-performance GPU infrastructure with an AI-powered software platform to help teams monitor, schedule, and optimize their complex AI workloads.

Explore software features Schedule a platform demo

APIs · SDKs · ML telemetry · automated orchestration

Developer consoleillustrative preview
Training acceleration
up to 35%
Idle GPU time
reduced
Resource provisioning
API-driven
Telemetry
real-time
POST /v1/jobs
{ "image": "train:llm-7b",
  "gpus": 64,
  "policy": "cost-optimized" }
→ 202 scheduled · eta 4m

Accelerate AI training runs by up to 35% using our automated scheduling algorithms.

Complete visibility into hardware performance and cost metrics via our unified developer console.

API-driven resource provisioning for seamless integration into existing MLOps pipelines.

The intelligent AI software layer

Custom software tools our enterprise customers run every day.

01

Smart Workload Scheduler

Dynamic AI job scheduling software that allocates cluster resources, minimizes idle GPU time, and prioritizes critical ML training tasks.

02

Predictive Telemetry & Performance Dashboard

Real-time monitoring software giving development teams visibility into job execution, memory usage, thermal stability, and throughput metrics.

03

Automated Model Deployment & API Pipelines

One-click deployment tools allowing customers to instantly serve trained LLMs and vision models via high-availability inference endpoints.

04

Energy & Cost Optimization Engine

Algorithmic software that analyzes job profiles to dynamically manage power profiles, reducing compute costs and carbon footprint.

Full-stack architecture

One stack, from developer APIs down to the data center floor.

Top layer

Developer Software & APIs

  • Smart Scheduler
  • Model deployment tools
  • Analytics dashboard

Middle layer

Cluster Management & Telemetry Software

  • System monitoring
  • Load balancing
  • Orchestration

Foundation layer

High-Density GPU Data Center Infrastructure

  • Liquid-cooled compute
  • High-speed networking
  • Operated 24/7
High-density liquid-cooled GPU data center hall operated by Infinity Deep Compute

Infrastructure we own and operate

Our software runs on our own Vera Rubin GPU fleet.

We build and operate the data centers — liquid-cooled, high-density Vera Rubin systems — and the orchestration software together, so telemetry reaches all the way to power, cooling, and network fabric, and our optimization engine can act on it.

Infrastructure approach Platform services

See the platform

Walk through the console, scheduler, and deployment APIs with our engineers.

Schedule a platform demo