General contractor coordination
One accountable party over building shell, civil works, site logistics, permits and overall programme coordination.
Builders, operators, architects and engineers behind some of the world's most demanding AI clusters. From a 100-rack enterprise cluster to a 10,000-GPU hyperscale delivery, one accountable team designs, builds, runs and certifies your AI infrastructure — then hands it back when you're ready.
Every ~18 months a new GPU generation lands with a step-change in performance. The infrastructure around it — power, cooling, network fabric, provisioning and operations — moves only as fast as the team that assembles it. That gap is where projects stall: racks that arrive before the hall is ready, a fabric that passes a factory test but not a live floor, a cluster that boots but never reaches its benchmark.
Kenvant exists to close that gap — one accountable team taking hardware from goods-in to a validated, benchmarked, production cluster, and keeping it there.
One accountable party across the entire delivery stack. We coordinate the general contractor and every subcontractor beneath them — civil, power, cooling, network and hardware — down to the individual GPU running production workloads.
One accountable party over building shell, civil works, site logistics, permits and overall programme coordination.
MV/LV distribution, UPS, direct-liquid cooling and heat reuse — integrated with Schneider and Vertiv for low PUE at density.
Racks, PDUs, containment, structured copper and fibre cabling, and full acceptance testing to a validated standard.
InfiniBand and Ethernet spine-leaf, storage and management networks — validated end-to-end with NCCL all-reduce.
HGX / DGX integration, GPU burn-in, and parallel storage tiers on Weka, VAST and DDN — engineered to keep GPUs fed.
OS, Slurm / Kubernetes, orchestration and performance validation — GPUs brought up to live, validated production workloads.
One accountable owner for the whole delivery — hardware supply, factory integration and the vendor support contract included. Everything from goods-in to an accepted, production cluster and Day-2 residency runs through a single team, on your site.
Onsite survey of the data-hall — space, raised floor, power and cooling confirmed against the approved rack layout before a single rack ships.
Goods-in, de-palletise, position each rack on its floor tile and acclimatise — packaging and debris removed. Rack-and-stack where hardware ships as components.
Power tie-in to rack PDUs, first boot, firmware brought to baseline, and full build verification — BIOS, BMC, RAID and configuration — plus vendor field diagnostics.
Direct-to-chip liquid loops, coolant distribution units, manifolds and quick-disconnects — with hot/cold-aisle containment for the air-cooled balance of the load.
Ethernet (RoCEv2) scale-out plus front-end, management and out-of-band networks — switch init, VLAN/LAG, and end-to-end fabric. Performance owned in-house, not the vendor's queue.
High-availability head nodes, per-type node images, GPU driver and CUDA stack, and monitoring with health and thermal-limit checks — every node UP in the cluster manager.
NCCL and HPL plus the industry-standard MLPerf and AIPerf suites, validated against agreed thresholds before sign-off — proof the cluster performs, not just boots.
As-built documentation and handover, then onsite server and cooling residents plus managed services — local-language operations that keep the cluster at the highest availability.
We design, build and operate containerized and modular data halls for national-scale, mission-critical infrastructure — carried from first drawing through commissioning, operations, and full physical relocation when a site needs to move. Reversible, not just deployable.
Plug-and-play technical shelters in fire-retardant mineral-wool sandwich panels (100 mm, U-value 0.40 W/m²K) — independently fire-inspected and returned approved without remarks.
High-density liquid cooling engineered to the compute platform — rear-door heat exchangers for GPU racks, direct-to-chip loops for wafer-scale — with Schneider / APC containment and structured Commscope fiber, all supplied and installed as part of the container.
The same 16-rack container envelope has been engineered for both GPU racks and wafer-scale systems — re-configurable rather than single-purpose, and sized to whichever platform you target.
A full facility relocation delivered end-to-end — crane move, fiber re-patch, thermal-imaging verification, fire-suppression re-commissioning and formal sign-off. The infrastructure comes back out as cleanly as it went in.
Built from day one for the industries with the hardest requirements — regulated data, strict isolation, and workloads that can never touch the public cloud.
SOC 2, ISO 27001 and ISAE 3000 — with a track record of reaching certification in under twelve months. Built for pharma, finance, defense and sovereign programmes.
Physically separated storage, dedicated VLANs and VRFs, per-tenant backends and full audit trails — regulation-ready for HIPAA, the EU AI Act and EHDS.
Fully isolated architectures with no external connectivity — self-hosted repositories, data-diode transfers and autonomous operations. Any jurisdiction, sovereign-grade.
Production agentic workflows and on-prem model serving — including air-gapped AI-assisted development — so sensitive data never leaves your environment.
Round-the-clock monitoring, on-call response and SLA-backed uptime — the same operators who build the cluster keep it running in production.
Per-tenant audit trails, immutable logging and end-to-end telemetry — evidence-ready for auditors and regulators at any time.
Who we serve PharmaFinanceManufacturingDefenseSovereignFrontier labs
Turn-key delivery of a fully sovereign AI factory: an empty data center taken to validated production AI training in four months. The automation we invest in once is reused on every build — a later expansion brought a new GPU generation online in about two weeks.
Invest once in automation. Replicate forever.
We build on battle-tested infrastructure and long-standing relationships across the AI hardware and software ecosystem — so what we deliver is standard, supportable and future-proof.
Planning a new AI factory, scaling an existing site, or need an operator-grade team to take it over? Tell us what you're working on and we'll get straight to the technical detail.
Send us a note with a sentence or two about your project, size and timeline, and the right engineer will reply — usually within one business day.
Email the team