Use Case · Infrastructure Modernisation
From legacy racks to AI-ready estate.
Refit aging facilities into AI factories without ripping out what works. Yobitel engineers retrofit cooling, fabric, and orchestration around your existing footprint — then layer GitOps and platform tooling so the new estate runs itself.
-40%
Five-year TCO vs cloud burst
2×
Rack density via DLC
1.15
Achievable PUE
< 90 days
First GPU pod live
Why teams struggle
The problems that block the work.
We hear the same pattern of failure modes across every engagement. These are the ones Yobitel exists to remove. Not generic platitudes, but the specific frictions that stall delivery.
Aging compute, no AI headroom
10-year-old E5 Xeons, 1.5 kW per rack air cooling, no spare PCIe lanes. The estate runs the ERP fine but cannot host a single H100 node, let alone an NVL72.
Network bottlenecks
25 GbE ToR fabric and oversubscribed leaf-spine. All-reduce traffic on a training job saturates the spine within seconds and starves every other workload.
No automation, manual everything
Provisioning a new VLAN takes a week. Patch windows are coordinated by email. There's no GitOps, no IaC, no immutable infra — only a wiki page someone keeps editing.
Energy cost and ESG pressure
PUE sits above 1.8, audit committee wants a path to 1.2, and the operator can't host a single 70 kW rack of GPUs without exceeding the facility envelope.
What Yobitel delivers
The capabilities we ship, end to end.
Each capability is a first-class product surface, not a slide. They compose into the platform behind every Yobitel customer in production.
GPU cluster engineering
Reference architectures for 8-way H100/H200 HGX, B200 NVL72, MI300X, and Jetson edge nodes. We size, procure, install, and benchmark to spec.
InfiniBand & RoCE fabric
Non-blocking 400/800 GbE Spectrum-X or NDR InfiniBand spines. Adaptive routing, congestion control, and GPUDirect RDMA tuned for collective ops.
Direct liquid cooling retrofit
Rear-door heat exchangers, in-row CDU, and direct-to-chip cold-plate loops. We design CFD-modelled airflow and integrate with existing chillers.
Kubernetes adoption
Vanilla upstream K8s with the NVIDIA GPU Operator, Spectrum-X CNI, and storage classes for NVMe-oF, CephFS, and S3-compatible object stores.
GitOps everywhere
Argo CD on every cluster, Crossplane for infra, Renovate for image hygiene, OPA for policy. The wiki page becomes a Git repo with PR reviews and audit.
Power & PUE optimisation
Smart PDUs, DCIM integration, and workload-aware power capping. We commission to a target PUE and certify it with a third-party audit.
Structured cabling & FTTH
OS2 single-mode trunks, MPO-24 patching, and FTTH between halls. Documented in a live source-of-truth that survives the install crew leaving.
Sovereign-by-design
UK G-Cloud, NCSC CAF, EU DORA, and India MeitY frameworks engineered in from day one — not retrofitted at audit time.
How adoption unfolds
From pilot to production, step by step.
The typical adoption path. We compress it where you have momentum and we slow it down where compliance or change-control demand it.
Audit & target architecture
Two-week assessment of power, cooling, fabric, racks, and software. We deliver a target architecture with phased migration plan and TCO model.
Retrofit cooling & fabric
Install DLC loops, upgrade ToR/spine to InfiniBand or Spectrum-X, run new OS2 trunks. Hot-cutover sequencing minimises downtime.
Land first GPU pod
Deploy a reference 8-node H200 or NVL72 pod, validate NCCL throughput, MIG slices, GPUDirect, and tenant isolation.
Adopt the platform layer
Stand up K8s, Argo CD, GPU operator, storage, monitoring, and Yobibyte. Migrate the first workload behind the new control plane.
Operate & expand
24×7 Yobitel managed ops or transfer to your SRE team. Roll the pattern out to remaining halls and edge sites.
The Yobitel stack behind this
Products & services that do this work.
No abstractions, no hand-waving. Each item below is a real Yobitel product or service with its own documentation, pricing, and SLA.
Omniscient Compute
Reference designs and bare-metal builds for H100/H200/B200/MI300X clusters with InfiniBand and DLC.
Data Centre Operations
24×7 managed ops, capacity planning, vendor RMA, and SLA-backed remote hands.
Cooling Engineering
Direct-to-chip and rear-door heat exchanger retrofits, CFD modelling, and PUE optimisation.
Networking Fabric
InfiniBand NDR, Spectrum-X 800 GbE, and structured cabling, designed and commissioned.
FTTH Backbone
Campus and inter-hall fibre, including OS2 trunking, MPO patching, and OTDR certification.
Yobibyte Platform
The self-serve control plane that turns the retrofitted estate into an internal AI cloud.
Outcomes we measure
The numbers customers report back to us.
Aggregated medians across recent deployments. Specific outcomes depend on workload and starting baseline. We'll model yours during the first conversation.
40%
Lower five-year TCO vs equivalent cloud burst
2×
Rack density unlocked by direct liquid cooling
1.15
Achievable PUE on a refitted Tier III hall
90 days
From audit to first AI workload in production
Customer story
UK regional cloud operator, 4 MW campus
Converted three legacy halls into a 6-rack NVL72 zone with PUE 1.18 — without taking customer workloads offline.
Yobitel ran cooling, fabric, and platform in parallel. We stayed in lockstep with our DC operations team the whole way.
Where this lands
40%
Lower five-year TCO vs equivalent cloud burst
2×
Rack density unlocked by direct liquid cooling
1.15
Achievable PUE on a refitted Tier III hall
Other use cases
Explore the rest of the solution suite.
Enterprise AI Operations
Deploy AI at Scale
Multi-tenant model serving, GPU fleet orchestration, governed rollouts, and end-to-end cost attribution — on one platform. Move from notebooks to a hardened control plane with model registry, canary deploys, and per-tenant FinOps built in.
ExploreApplied AI Engineering
Build AI Applications
Yobitel ships a complete app-building stack: typed SDKs, RAG primitives, agent orchestration, embeddable UI, and one-click deploy onto Yobibyte. Your product team focuses on the experience — we handle inference, observability, and the unglamorous middle.
ExploreAIOps & SRE Automation
Automate IT Operations
Anomaly detection, self-healing runbooks, GitOps drift control, and an AI SRE that triages incidents at machine speed. Yobibyte's automation surface plugs into your existing observability stack and learns from every postmortem.
ExploreReady to put this into production?
Talk to a Yobitel engineer. We'll map your environment, sketch the architecture, and propose a 60–90 day plan to first measurable outcome.