KharkevichEngineering Lab
PRIVATE AI / INFRASTRUCTURE / NETWORKING
We design and build private AI end to end — the infrastructure it runs on, the platforms that operate it, and software built with AI and for AI.
Engineering for a more capable tomorrow.
Private AI infrastructureOn-prem, sovereign, GPU-dense
AI networking & fabricSpine-leaf, RoCE & DPUs
AI platforms & MLOpsFrom models to production
Security & observability for AIVisibility and control for AI01 / SERVICES
We design, build and operate the infrastructure private AI runs on, from the network fabric up to the platforms and controls around the models.
GPU cluster design and build-out to NVIDIA reference architectures, on your premises or in your chosen boundary.
The east-west network that AI training and inference actually depend on, designed for throughput and isolation.
Kubernetes, serving and delivery pipelines that make running models a repeatable operation.
Security architecture and telemetry for AI systems that must stay dependable and accountable.
02 / PRIVATE AI
Private AI infrastructure for organizations that need data sovereignty, controlled deployment and clear operational boundaries — running on hardware you decide the rules for.
PRIVATE AI PLATFORM
Data sourcesApplications · databases · files · enterprise systems
Users & applicationsWeb · API · agents · teams
AI / ML platformLLMs · RAG · inference · Kubernetes
InfrastructureGPU compute · NVMe storage · spine-leaf fabric
Security & governanceIdentity · encryption · audit · compliance03 / INFRASTRUCTURE
GPU clusters built to NVIDIA reference architectures, on a spine-leaf fabric with DPU offload — and extended to the cloud only where that genuinely helps.
04 / AI-NATIVE SOFTWARE
Engineering for the hard edges: AI-powered internal tools, agents, automation and integrations where off-the-shelf software stops short.
05 / SECURITY FOR AI
Metrics, logs, traces and model-level telemetry that reduce uncertainty and keep AI systems accountable — from the fabric up to the model.
06 / PRINCIPLES
Good AI infrastructure should feel boring in production: predictable, observable, secure and easy to change.
Design for failure, automate recovery and remove operational surprises.
Build identity, policy and data boundaries into the architecture from day one.
Choose technology because it solves the problem — not because it is fashionable.
Leave teams with systems they can understand, operate and evolve themselves.
07 / CONTACT
Tell us what you are trying to build, modernize or protect. We will start with the architecture — not a sales pitch.
labs@kharkevich.com