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Solutions by workload & sector

Different industries, the same physics

Whether you are pre-training a frontier model, serving millions of enterprise inference requests, or standing up national AI capacity, the constraints are power, fabric and data governance. Velyrix designs around all three.

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Foundation model labs

Thousand-GPU reserved pods with non-blocking fabric, aggressive checkpoint bandwidth and the operational discipline to keep a three-month pre-training run alive.

  • 512–4,096 GPU reserved clusters
  • Contracted MFU and goodput targets
  • Fast node replacement to protect run continuity
  • Checkpoint storage sized to step interval
  • Capacity ladders for staged scale-up
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Enterprise AI platforms

Private inference estates behind the corporate firewall, with SSO, quotas, chargeback and an OpenAI-compatible gateway that application teams can adopt without rewriting anything.

  • Private LLM endpoints with SLA
  • Per-team quotas and cost attribution
  • Guardrails, PII redaction and audit logging
  • RAG on internal knowledge bases
  • Hybrid burst into Velyrix GPU Cloud
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Sovereign & public sector

National and regional AI capacity with in-country data residency, local operating staff and contractual guarantees on jurisdiction and access.

  • In-country hosting and data residency
  • Vetted local operations personnel
  • Air-gapped enclaves for classified work
  • Build-operate-transfer arrangements
  • Export-compliant supply and screening
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Healthcare & life sciences

Compute for medical imaging, genomics, protein structure and clinical documentation, with the isolation and audit trail regulated data demands.

  • Isolated tenancy with customer-held keys
  • Support for HIPAA-aligned controls and BAAs
  • De-identification pipelines
  • Cryo-EM and genomics batch pipelines
  • Validated environments for regulated workflows
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Financial services

Low-latency inference, risk simulation and document intelligence, deployed where market data and client records are permitted to live.

  • Private endpoints inside your network zone
  • Immutable prompt and response audit logs
  • Monte Carlo and risk batch compute
  • Colocation near market data centres
  • Model and change governance support
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Media, gaming & simulation

Render farms, video pipelines, generative media and digital twins on L40S, RTX PRO 6000 Blackwell and Blackwell-class GPUs.

  • Burst render capacity
  • High-throughput video transcode
  • Diffusion and video-model serving
  • Omniverse and digital twin workloads
  • Studio-grade content security practices
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Autonomous systems & robotics

Petabyte-scale sensor ingest, multi-modal training and large-scale simulation for vehicles, drones and industrial robotics.

  • High-ingest object storage tiers
  • Multi-modal training clusters
  • Simulation and replay farms
  • Dataset lifecycle and retention control
  • Edge-to-core data pipelines
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Research & higher education

Shared institutional clusters with fair-share scheduling, grant-friendly commercial terms and training for research computing teams.

  • Slurm with fair-share and QoS policy
  • Per-department accounting and reporting
  • Grant-aligned term structures
  • Sponsored onboarding and training
  • Research data management support
Reference architectures

Three patterns that cover most programmes

Train on reserved, serve on dedicated

A reserved InfiniBand pod for periodic training and fine-tuning, plus a smaller always-on dedicated inference fleet, sharing one parallel file system and one model registry. The most common enterprise pattern.

Own the hardware, rent the building

Capex-funded GPU systems deployed into Velyrix colocation, built and commissioned by Velyrix, then operated under a managed service. Preferred where depreciation and asset ownership matter to the balance sheet.

Sovereign enclave with burst

An in-country air-gapped or isolated enclave for regulated data, with a contractual burst allocation in a Velyrix public region for non-sensitive experimentation and evaluation workloads.

Talk to an AI infrastructure architect

Own the GPUs. Let us run them.

Buy your NVIDIA servers from any OEM or distributor you like, ship them to a Velyrix hall, and we handle the rest — deployment, fabric, cooling, monitoring and support. Or rent ours. Either way, you get a plan in one business day.

Frequently asked questions

Do you work with early-stage AI companies as well as large enterprises?

Yes. Engagements start at a single dedicated server or a handful of on-demand GPUs and scale to multi-thousand-GPU reserved clusters. Startups typically begin on on-demand capacity and move to reserved pods once training cadence is predictable.

Can Velyrix support sovereign AI requirements?

Yes. Options include in-country hosting with contractual data-residency guarantees, locally vetted operations staff, air-gapped enclaves, customer-held encryption keys and build-operate-transfer arrangements where the facility ultimately passes to the national operator.

How do you handle regulated data such as health or financial records?

Through single-tenant hardware, customer-managed encryption keys, network isolation, immutable audit logging and contractual controls appropriate to the regime - including business associate agreements where HIPAA-aligned controls are in scope. Velyrix supports your compliance programme; the applicable certification scope is confirmed per facility in contract.