GPU clusters for frontier AI.
Multi-megawatt GPU fleets for frontier labs and large-scale AI programmes. Architected end-to-end for your workload, delivered as bare metal, Kubernetes, or co-engineered with your platform team.
Industrial-scale GPU fleets, architected around your workload.
GPU, topology, storage, power, and cooling — engineered end-to-end for training, inference, and HPC workloads. Take it as bare metal, drive it through Kubernetes and APIs, or co-engineer a deeper integration with your platform team. Operated jointly with your team 24/7, not handed over a wall.
Cluster Scale
Thousands to tens of thousands of GPUs
Joint Operations
NOC and SRE alongside your team
Active Countries
Active infrastructure footprint
Years Operating
Critical infrastructure
Your workload, your stack, your team alongside ours.
We design, deploy and operate multi-megawatt GPU fleets built around your workload — delivered on the stack you run.
Custom-built at your scale
Multi-MW fleets specified end-to-end: GPU, topology, storage, power and cooling — engineered for the workload you're running.
Bare metal, Kubernetes, or co-designed
Take the fleet as raw bare metal, drive it through Kubernetes and APIs, or co-engineer a deeper integration with your platform team.
Joint operations, not a handover
Engineering and ops working alongside yours from design through 24/7 run-state. We carry the fleet with you, not over a wall.
Deployment Process
From workload alignment to 24/7 run-state — every phase delivered jointly.
Align
Align on workload, timeline, budget and success criteria.
Design
End-to-end specification: GPU, fabric, storage, network and power.
Reserve
Lock in capacity, site and power schedule.
Deploy
Phased hand-over and 24/7 joint operations from day one.
Supply, topology, network, sovereignty, and ops — one platform.
PacketStream brings every element of GPU compute into one deployable platform.
Large-scale GPU clusters
Multi-MW GPU clusters designed and deployed to customer specifications.
Fleet control via bare metal or k8s
Handed over exactly how you need it for ease of operation.
Workload-matched topology
Cluster topology and internal fabric shaped to the workload.
Customisable network delivery
Private global backbone with deep ISP interconnections.
Sovereign deployment options
Defined boundaries, security, key management, and audit options.
Monitoring and support
24/7 engineering operations to ensure a smooth running fleet.
GPU clusters, deployed where the programme needs them.
Three deployment shapes — alone, or combined within one fleet.
Multi-node GPU clusters
Multi-MW GPU clusters on private fabric.
Private or sovereign region
Region-scoped capacity with sovereign access posture.
Vanguard modular datacenter
On-site pods for federal, defence, oil and gas, and edge.
Accelerator, fabric, storage, network, observability — architected end to end.
Multi-MW deployments, thousands to tens of thousands of accelerators.
Hopper, Blackwell, and Blackwell Ultra deployed at frontier scale.
Topology and fabric chosen per programme — sized to the workload.
Parallel filesystems at NVMe line rate, tiered enterprise storage with WEKA and VAST Data, or custom architectures.
Our carrier network is a private highway for traffic. Optimized and customizable to your requirements — from subsea to routing and interconnections.
Real-time telemetry from every layer of the fleet, streamed into your monitoring stack and operated jointly with your SRE team.
Hand over as bare metal, drive via Kubernetes and APIs, or co-build a deeper integration with your platform.
Sovereign regions, designed with you and operated together.
Defined network boundaries, customer-held keys (BYOK), jurisdiction-aware operations — engineered alongside your team and run jointly. Joint Venture options available.
Reserve CapacityCustomer-held keys (BYOK)
Network boundary isolation
Jurisdiction-aware ops
Audit logs & evidence
Use Cases
LLM / Foundation Model Training
Large-scale Inference
Data Pipelines
HPC / Simulation
Sovereign / Defence / Public
Enterprise AI Platform
Reserve GPU capacity today
Tell us your workload, timeline, and region — our solution engineers will respond with a tailored design.