Services

What we build.

Six capabilities across the full AI infrastructure stack, from energy sourcing to production software.

01

GPU compute built for scale

High-performance GPU clusters with RDMA-backed networking, scalable block and object storage, and managed orchestration through Kubernetes and Slurm.

GPU

NVIDIA H100, H200, B200

Networking

400G InfiniBand, RoCE v2

Storage

NVMe block, S3-compatible object

Orchestration

Managed Kubernetes, Slurm

02

From model to production endpoint

Serverless and dedicated inference endpoints with autoscaling. Fine-tuning APIs with token-based pricing. Bring your own model or use top open-source checkpoints.

Inference

Serverless, self-serve, tailored

Fine-tuning

LoRA, full, token-based pricing

Models

Llama, Mistral, Qwen, BYOM

Latency

Sub-100ms p99 at scale

03

Prefab compute, deployed in months

Factory-manufactured modular data center units. Air or liquid cooled, energy-versatile, deployable as edge zones or dedicated clusters anywhere.

Form factor

Self-contained modular units

Cooling

Air-cooled, liquid-cooled (2026)

Power

Solar, grid, gas, SMR-compatible

Deploy time

3-6 months from order

We do not rent infrastructure. We build it, from the power source to the API endpoint.

04

Your hardware, our infrastructure

Dedicated racks and cages in purpose-built AI campuses. Full control over hardware with managed power, cooling, and connectivity.

Density

Up to 100kW per rack

Connectivity

Carrier-neutral, dark fiber

Security

SOC 2 Type II, 24/7 NOC

Contracts

Flexible term, custom SLA

05

Energy-first, by design

We co-develop power and compute from day one. Diverse energy sourcing, in-house manufacturing of electrical components, and independent power solutions for compressed timelines.

Sources

Solar, wind, natural gas, grid

Manufacturing

In-house switchgear, transformers

Scale

Multi-GW development pipeline

Timeline

Power + compute co-developed

06

Beyond infrastructure

Full-stack engineering for AI-native applications. Platform, backend, MLOps, data, and integrations. Dedicated teams for complex, long-term builds.

Platform

IaC, CI/CD, observability, DX

AI/ML

Model serving, A/B, monitoring

Data

Streaming, batch, lakehouse, gov.

Teams

Embedded squads, full ownership