Data residency · HPCHealthcare & life sciences
From drug discovery to the clinic.
- Molecular design and protein structure prediction
- Medical imaging and genomics analysis
- Ambient clinical and research agents
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05 · Customer & GTM
A cluster earns nothing until customers run on it. RAICOSOL works both sides of the market: we bring AI customers from every industry to new capacity, and we find the right cloud capacity for teams that need GPUs now.
Industries we serve
From hospitals and banks to telcos, factories and governments, RAICOSOL connects the organizations putting AI into production with the capacity, partners and capital they need. Here is what each market is building, and what it buys.
Data residency · HPCFrom drug discovery to the clinic.
Low latency · PrivateBanks, payments, trading and insurance.
Edge · Sovereign AINetworks that run AI and sell it.
Simulation · EdgeSmart factories and logistics.
On-prem · HPCPower, oil and gas, and renewables.
Inference at scaleCommerce, stores and supply chains.
Sovereign · SecureNational and public-sector AI.
Shared clustersUniversities and national labs.
Bursty · RenderingStudios, gaming and streaming.
Training · SimulationAutonomy and physical AI.
VisualizationDesign to operations.
HPC · EDAChip design and fabrication.
Use cases summarized from NVIDIA's industry pages and RAICOSOL market experience. Industry photos are illustrative.
Two sides of one market
AI capacity is growing fast, but buyers and sellers rarely meet at the right moment. RAICOSOL sits between them, so new clusters fill faster and AI teams get capacity that fits their workload, budget and jurisdiction.
Neoclouds, data center developers and AI factories: we help you land anchor tenants and fill capacity before and after it goes live.
Enterprises, AI startups and research teams: we source GPU capacity that matches your workload, without months of vendor calls.
How RAICOSOL looks at a market
A bank, a hospital and a game studio may all want GPUs, but they need different hardware, contracts and locations. We profile each market through five lenses before we match a customer to capacity.
Market spotlights
Drug discovery and genomics need large training and simulation runs; clinical AI needs inference close to patient data.
Fraud, trading and risk models run continuously and must respond in milliseconds, inside regulated environments.
Telcos own land, power, shells and fiber, and are combining them with GPUs to offer in-country AI capacity and local-language models.
Energy companies run simulation and grid AI, and also hold the power and land that AI factories need.
Capacity options for AI customers
| Option | What you get | Typical term | Best for |
|---|---|---|---|
| On-demand GPUs | Bare-metal or virtual GPUs billed by the hour | Hours to months | Experiments, bursts and short training runs |
| Reserved clusters | Dedicated, single-tenant nodes with high-speed fabric | 1 to 3 years | Steady training and production inference |
| Managed inference | Models served through an API with an SLA | Usage-based | Applications that need tokens, not servers |
| Private & sovereign cloud | Isolated capacity in a chosen country or facility | Multi-year | Regulated data and government workloads |
| Own hardware in colocation | Your servers in a partner facility, optionally leased | 3 to 5 years | Large, predictable workloads with control over hardware |
How we engage
Workload, models, latency, data rules, scale and budget, or the capacity you have to sell.
Shortlist providers or customers that fit, with pricing and terms side by side.
Proof of concept or benchmark on the candidate capacity before anyone signs.
Support through terms, onboarding and expansion as usage grows.
Tell us your workload, GPU count, timeline and region. We will come back with options from vetted providers.
Request capacityNeoclouds, operators and AI factories: tell us what you have and when, and we will bring qualified customers.
Find customersai@raicosol.com · +1 (713) 294-4180
Company and product names belong to their owners. RAICOSOL is vendor-neutral and is not affiliated with the companies referenced.