AI & GPU Infrastructure

Infrastructure for the next generation of applications.

We build GPU and AI infrastructure for organizations running modern AI workloads.

What we do

We build GPU and AI infrastructure for organizations running modern AI workloads.

  • GPU Kubernetes
  • GPU scheduling
  • GPU monitoring
  • Model serving
  • LLM infrastructure
  • Inference platforms
  • Model deployment
  • AI workload observability
  • Token and latency monitoring
  • AI infrastructure optimization

Problems we solve

GPU platforms are hard to operate

GPU scheduling, monitoring and infrastructure optimization require specialized expertise.

Serving models at scale

Inference platforms and model deployment need reliable, observable infrastructure.

AI workloads in the dark

Token and latency monitoring require AI workload observability built in from the start.

Wasted or overloaded capacity

Without GPU monitoring and optimization, capacity is either idle or saturated.

Our approach

  1. 01

    Assess

    Understand your AI workloads, GPU requirements and serving patterns.

  2. 02

    Design

    Design GPU Kubernetes and inference infrastructure around the workload.

  3. 03

    Build

    Build GPU scheduling, model serving and inference platforms.

  4. 04

    Optimize

    Optimize GPU utilization, token and latency performance.

  5. 05

    Observe

    Instrument AI workloads with monitoring and observability.

  6. 06

    Operate

    Operate the platform day two: upgrades, capacity and optimization.

Outcomes

  • OutcomeGPU and AI infrastructure built for modern AI workloads.
  • OutcomeModel serving and inference platforms with AI workload observability.
  • OutcomeToken and latency monitoring with ongoing infrastructure optimization.

Engagement models

Assessment

Assessment

We assess your AI workloads, GPU requirements and serving patterns, and recommend an infrastructure path.

Project

Project

We design and build the GPU and AI platform with you — with full handover to your team.

Managed

Managed

Managed service options include GPU operations, monitoring, upgrades, and optimization; hours and scope are agreed per engagement.

Let's engineer your platform.

Tell us what you are running today.Tell us where you want to go.

We'll help design the path between them.