We deploy supercomputers

Multi-MW GPU fleets, custom-architected for frontier labs and the world's largest AI programs.

what we do

OneQode designs, builds and runs GPU fleets for the world's largest AI programs. We pair AMD Instinct™ and NVIDIA accelerators with the power, cooling, fabric and network to run them at full speed, in the countries you need, operated alongside your team.

Reserve capacity
  • Cluster scale

    Multi-MW

    Multi-megawatt deployments, thousands to tens of thousands of accelerators.

  • GPU platform

    NVIDIA & AMD

    AMD Instinct™ through our AMD partnership, including next-generation Helios, alongside NVIDIA accelerators.

  • Power & cooling

    Liquid-cooled

    Power and liquid cooling engineered for each site, from a few racks to tens of thousands of GPUs.

  • Internal fabric

    High-bandwidth, low-latency

    Topology and fabric chosen per program - sized to the workload.

  • Storage

    Storage built for the workload

    Parallel filesystems at NVMe line rate, tiered enterprise storage with WEKA and VAST Data, or custom architectures designed by our storage engineers - built for the need.

  • Network

    Performance global backbone

    OneQode's carrier network is a private highway for traffic. Optimized and customizable to your requirements, from subsea to routing and interconnections.

  • Observability

    Integrated with your stack

    Real-time telemetry from every layer of the fleet, streamed into your monitoring stack and operated jointly with your SRE team.

  • Delivery model

    Co-engineered delivery

    Hand over as bare metal, drive via Kubernetes and APIs, or have our engineering team co-build a deeper integration with your platform.

What OneQode GPU Compute delivers.

  1. Multi-MW clusters, built to spec

    From a few racks to tens of thousands of accelerators, specified and deployed around your workload.

  2. Fleet control via bare metal or k8s

    Take the fleet as raw bare metal, drive it through Kubernetes and APIs, or have us co-engineer a deeper integration with your platform team.

  3. Topology matched to the workload

    We choose the topology and internal fabric per program, sized for training, inference or HPC.

  4. Private backbone, subsea to last mile

    Traffic runs on a carrier network we own and operate, with deep interconnection to the eyeball networks your users are on.

  5. Sovereign regions with defined boundaries

    Defined network boundaries, customer-held keys and jurisdiction-aware operations, designed with your team and run jointly.

  6. 24/7 monitoring and support

    Engineers run the fleet around the clock, with real-time telemetry from every layer streamed into your monitoring stack.

Build at any scale, we deploy from 1MW upwards.

Operating critical infrastructure
7+ Yrs
Top quant firms as customers
4/10
NOC and ops coverage
24/7
Countries with active infrastructure
13+

Why OneQode

Everything a GPU fleet needs. Supply, placement, network, sovereignty and operations, designed to work as one.

  • Multi-MW clusters, architected to your program

    Accelerators, topology, fabric, storage, power and cooling, specified around your workload.

  • Bare metal or Kubernetes, your way

    Full root access, GPU scheduling and APIs, delivered the way your platform team already works.

  • Data on our own global backbone

    Traffic between regions, users and data runs on a carrier network we own and operate.

  • Sovereign by design

    Defined boundaries, customer-held keys and the audit your regulators and board expect.

  • Compute where latency matters

    GPUs placed next to your users, markets and data, including markets others skip.

  • Traditional and modular datacenters

    Deployed in established datacenters in each market, with modular pods built on site where no suitable facility exists.

Infrastructure

The rest of the stack

One operator, from power to GPU, across APAC and the Pacific.

Industries

Let’s deploy your supercomputer