AI infrastructure platform

Full-stack AI infrastructure platform driven by intelligent software.

Infinity Deep Compute pairs high-performance Vera Rubin GPU data centers with a proprietary control plane that schedules, monitors, deploys, and optimizes enterprise AI workloads end to end.

Schedule a platform demo Explore infrastructure

APIs · SDKs · ML telemetry · automated orchestration

Training benchmark

up to 35%

throughput gain vs stock Kubernetes / Slurm on the same silicon

Resource provisioning

API-driven

for MLOps pipeline integration

Telemetry coverage

Full-stack

from job queue to cooling loop

Closed-loop control plane

Every scheduling decision is informed by live silicon state.

Job specifications flow through placement policy to power and coolant setpoints. Hardware truth flows back through one telemetry bus, closing the gap between software intent and the physical system running the workload.

01

API gateway

REST and gRPC ingress, authentication, quotas, job validation, and hooks into existing MLOps pipelines.

02

Intelligent orchestrator

Topology-aware placement, priority queues, GPU bin packing, and predictive energy and thermal policies.

03

Hardware telemetry engine

Out-of-band signals covering thermals, memory, fabric health, rack power, and coolant-loop performance.

Topology-aware scheduling

Keep distributed training on the fastest path.

The scheduler evaluates GPU memory state, NVLink mesh health, fabric topology, thermal headroom, and congestion before placing multi-node work. Degraded nodes can be drained before they slow a collective.

  • NVLink-first placement for tightly coupled jobs
  • Reduced network hops across the cluster fabric
  • Custom Slurm and Ray plugins for existing workflows

Telemetry off the host

Observe the system without taxing the workload.

BlueField-3 DPUs and DOCA provide a separate telemetry plane at a 100 ms design cadence with 0% host-CPU overhead. Human dashboards and machine policies work from the same source of truth.

Die & HBM thermals

NVLink mesh state

NIC drop rates

Rack power

CDU flow & ΔT

GPU voltage rails

The intelligent AI software layer

Software tools built into the platform for enterprise AI teams.

01

Smart Workload Scheduler

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

  • Resource allocation
  • Priority queues
  • GPU bin packing
02

Predictive Telemetry & Performance Dashboard

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

  • Real-time metrics
  • Thermal monitoring
  • Throughput analytics
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 and versioned API gateways.

  • Inference endpoints
  • API versioning
  • Model serving
04

Energy & Cost Optimization Engine

Algorithmic software that analyzes job profiles to dynamically manage power profiles, reducing compute costs and carbon footprint without sacrificing performance.

  • Power profiling
  • Carbon-aware scheduling
  • Cost attribution

Full-stack architecture

One integrated platform, from API to data center floor.

Layer 01

Developer experience

REST APIs, a Python SDK, CLI tooling, and Prometheus/Grafana dashboards for job submission, model serving, and per-job cost visibility.

  • REST + gRPC
  • Python SDK
  • Developer console

Layer 02

Core orchestration

A Rust control plane with topology-aware placement, priority queues, bin packing, and custom Slurm and Ray integrations.

  • Rust control plane
  • Slurm + Ray
  • Policy engine

Layer 03

Hardware control & telemetry

BlueField-3 and DOCA collect silicon, network, power, and cooling signals outside the tenant workload, then feed one telemetry bus.

  • 100 ms telemetry
  • 0% host-CPU
  • Thermal actuation

Layer 04

Physical compute substrate

High-density Vera Rubin systems, direct-to-chip liquid cooling, high-speed cluster fabric, and resilient rack-level power.

  • 100 kW+ racks
  • DTC cooling
  • High-speed fabric

Built on owned infrastructure

Vera Rubin GPU compute, operated end to end.

Our platform is not a software layer bolted onto rented hardware. We design and operate the liquid-cooled Vera Rubin GPU infrastructure ourselves, so the scheduler, telemetry, and optimization engine can act on real power, cooling, and fabric data.

  • Direct software control over GPU allocation, thermal response, and power profiles
  • Single-tenant private clusters and multi-tenant shared pools from the same platform
  • API and SDK access for job submission, model serving, and cost attribution
Infrastructure approach Platform services
Platform consoleillustrative preview
POST /v1/jobs
{ "image": "train:llm-7b",
  "gpus": 64,
  "policy": "cost-optimized",
  "telemetry": "full" }

→ 202 scheduled · eta 4m
→ dashboard: /jobs/a1b2c3

Deployment target

Vera Rubin cluster

Optimization mode

Cost-aware

See the platform

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

Schedule a platform demo

Platform enquiry

Ask us about the platform.

Tell us about your workloads, team size, and integration requirements. We will respond with details on access, capacity, and how the software layer fits your MLOps pipeline.

info@infinitydeepcompute.com