01 AI Compute & GPU Solutions
GPU capacity, engineered as a system.
We plan and deliver GPU clusters as complete systems — accelerators, power, liquid cooling and network fabric designed together — so the cluster performs the way the benchmark promised.
Illustrative 3D rendering — not a photograph of a Cognivox facility.
What we deliver
From requirement to a cluster in production.
Whether you are deploying your first rack-scale system or expanding a training cluster, we take responsibility for the parts that usually fall between vendors.
- Architecture
Training & inference environments
Accelerator platform, node count, storage and scale-out topology sized to your workloads — training, fine-tuning or inference.
- Sourcing
Hardware procurement support
Vendor-neutral specification, quote comparison and delivery planning with the OEMs and distributors you choose.
- Facility fit
Power & cooling integration
Rack power, liquid-cooling loops, floor loading and redundancy checked against the facility before hardware ships.
- Network
Fabric design
High-bandwidth, low-latency scale-out networks, plus separate storage and management networks.
- Deployment
Deployment planning & acceptance
Rack integration, delivery sequencing, burn-in and performance acceptance testing against agreed benchmarks before handover.
- Operation
Monitoring & handover
Telemetry, runbooks and documented operating limits, so your team or ours can run the cluster with confidence.
Equipment families
What we plan, specify and help you source.
These are planning and sourcing categories, not inventory. Cognivox does not manufacture accelerators or hold stock; we specify against your workload and work with the OEMs and distributors you choose.
- Rack-scale accelerator systems
- 8-GPU accelerated servers
- Inference-optimised nodes
- Scale-out & scale-up network fabric
- Parallel and object storage
- Rack power, CDUs & liquid-cooling manifolds
Planning envelope
What a rack-scale GPU system asks of a facility
| Rack IT load | 100–140 kW |
|---|---|
| Heat capture | ≈ 80–90% to liquid · remainder to air |
| Facility water supply | Warm water, ASHRAE W32–W45 classes |
| In-rack power | Busbar-fed power shelves, N+N |
| Scale-out fabric | 400–800 Gb/s per accelerator |
| Static floor load | ≈ 1.3–1.6 t per rack — verify slab rating |
Planning ranges, not a product specification. Figures reflect publicly documented characteristics of current rack-scale accelerator systems; exact values depend on the platform and configuration selected.
System architecture
Select a component to see what it does and what it asks of the facility.
Rail-optimised, two-tier scale-out
Each accelerator's network card connects to the leaf switch for its "rail", so collective operations between same-rank accelerators in different racks cross a single leaf hop. Spines carry cross-rail traffic. A separate, lower-speed network handles storage and management.
How an engagement runs
Five steps, one accountable team.
Assess
Workloads, timeline, budget and the facility you have — or need.
Design
Cluster, fabric, power and cooling architecture with stated assumptions.
Source
Specification and procurement support with your chosen suppliers.
Deploy
Integration, burn-in and acceptance testing against agreed benchmarks.
Operate
Monitoring, documentation and capacity planning for the next phase.
Start a conversation
Tell us what you are planning.
Load, timeline, location, constraints — whatever you know so far. An engineer will reply.