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Cloud Procurement, Optimization, and AI Adoption

ThunderCat Technology, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) that helps federal, state, local, education, and commercial organizations buy cloud and cloud software through marketplace private offers on existing contract vehicles, reduce spend on the cloud capacity they already consume, and move AI workloads into production across hyperscalers and specialized AI clouds.

Three outcomes: buy it better, run it leaner, build what’s next on it.
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How to Buy Cloud Software Through a Contract Vehicle

ThunderCat transacts private offers in AWS Marketplace, AWS Intelligence Community Marketplace (ICMP), Microsoft Azure Marketplace, and Google Cloud Marketplace through federal and SLED contract vehicles, so agencies and enterprises can buy software on the vehicle they already hold while drawing down cloud commitments they have already accepted.

 Cloud marketplaces changed how software gets purchased, but only for organizations with someone who knows how to navigate them. A marketplace transaction collapses a multi-month acquisition into a single order against an existing vehicle — if the offer is structured correctly before it is issued.

  • Retire committed spend. Software purchased through a cloud marketplace draws down existing AWS, Azure, and GCP commitments. A software buy becomes progress against an obligation you already carry rather than a additional budget line.
  • Consolidate contract actions. Many publishers, one transaction path, one invoice, fewer procurement actions to write, award, and administer.
  • Keep your vehicle. ThunderCat transacts marketplace purchases through SEWP, GSA Multiple Award Schedule, OMNIA Partners, and state and cooperative contracts.
  • Negotiate real terms. Custom pricing, multi-year duration, and installment payment schedules issued directly through your cloud account with a defined acceptance path.
  • Buy the whole stack the same way. Infrastructure software, security tooling, data platforms, developer tools, and AI services sourced through one mechanism under one set of already established terms.
  • Get the mechanics right the first time. Offers become irrevocable once a buyer accepts them. ThunderCat validates account identifiers, entitlement scope, vehicle fees, and term structure before publication, because there is no clean way to fix them afterward.

 

Are you a software publisher looking for a public sector path to market?

ThunderCat lists and transacts ISV software for federal, SLED, and commercial buyers through cloud marketplaces and major contract vehicles, including channel private offers that preserve your pricing, deal registration, and support model. Talk to us.

How to Reduce the Cloud Spend You Already Have

ThunderCat resells AWS, Microsoft Azure, Microsoft licensing via the Cloud Solution Provider (CSP) program, and Google Cloud consumption and provides FinOps services that reduce what customers pay for the capacity they already run, through commitment optimization, rate coverage, waste elimination, and cost visibility by program or business unit.

Most organizations do not start with a cloud cost problem. They start with a cloud visibility problem that becomes a cost problem two budget cycles later. Reselling the capacity is the easy part. Telling you what you are spending it on, and then reducing it, is the work.

  • Resale and consolidated billing. Buy AWS, Azure, and Google consumption through a single SDVOSB partner, on contract, with one invoice and one accountable party instead of three portals and a credit card.
  • FinOps in practice. Account structure and tagging discipline, showback and chargeback by program or mission owner, anomaly detection, and forecasts your budget shop can defend under questioning.
  • Commitment and rate optimization. Reserved Instances, Savings Plans, and Committed Use Discounts sized to actual usage, plus commitment management so you neither over-commit nor leave unused commit stranded at renewal.
  • Waste elimination. Idle and orphaned resources, oversized instances, unattached storage, avoidable data transfer, and licenses being paid for in two places at once.
  • Funding-aware structuring. For public sector customers, terms aligned to appropriation year, period of performance, and option structure, so funds do not strand and renewals do not lapse.
  • Governance that holds. Budgets, guardrails, and alerting configured so the savings found this quarter are still there next quarter.

The deliverable is not a dashboard. It is a lower bill and a number you can defend for next year.

How to Get AI Workloads Into Production

ThunderCat sources, contracts, and deploys AI infrastructure on hyperscaler platforms — Amazon Bedrock and SageMaker, Microsoft Azure AI Foundry, and Google Vertex AI — and on specialized AI clouds that provide dedicated GPU capacity, including in GovCloud and other accredited environments.

AI is where cloud budgets are going. It is also where they get wasted. The constraint is rarely the model — it is matching the workload to the right compute, getting that compute under contract at a defensible price, and standing it up somewhere the security team will accredit.

  • Hyperscaler AI services. Managed model access and training infrastructure delivered inside the accounts, regions, and accreditation boundaries you already operate.
  • Specialized AI clouds. Purpose-built GPU providers deliver accelerated compute at price and availability points the hyperscalers do not always match. ThunderCat sources it, puts it on contract, and connects it to the estate you already run.
  • Buy compute like compute. Reserved capacity, on-demand burst, and dedicated clusters evaluated on cost per unit of work rather than published hourly rate.
  • Readiness before models. Data pipelines, access control, logging, evaluation, and model governance — the prerequisites that decide whether a pilot ever reaches production.
  • Accredited and sovereign paths. AWS GovCloud, FedRAMP and GovRAMP-authorized services, and controlled environments for workloads that cannot run in a commercial region.
  • Procurement that keeps up. AI capacity and AI software acquired through the marketplace and existing vehicles, so infrastructure availability sets the timeline instead of the contracting queue.

Most AI programs stall on procurement and infrastructure, not on models. Those are the two things ThunderCat fixes.

How to Train and Certify Teams on Cloud, AI, and Cybersecurity

Technology changes faster than teams can keep up.  We make sure teams not only keep up, but excel in an everchanging world. ThunderCat delivers cloud, AI, and cybersecurity trainings and certifications as measured programs rather than seat licenses, providing exam vouchers and authorized courseware from AWS and other major vendors, procurement through cloud marketplaces and existing contract vehicles, and custom learning programs built around defined business outcomes and documented return on investment.

Training is usually purchased by the seat, consumed unevenly, and never measured. Vouchers expire unredeemed. The purchase is easy to justify once and nearly impossible to justify a second time, because nobody can point to what changed.

We sell the outcome instead. Before a program starts, we define what the organization should be able to do at the end, which metric proves it, and what that capability is worth. Then we work backwards from there.

  • Vouchers and certification at scale. Exam vouchers and authorized courseware from AWS and other major cloud, AI, security, and infrastructure vendors — purchased in volume, pooled across teams, tracked against expiration, and reported on redemption so nothing quietly goes to waste.
  • Buy training the way you buy the platform. Training and certification from vendors that list in AWS Marketplace, Microsoft Azure Marketplace, and Google Cloud Marketplace can be purchased through the same private offer mechanism as any other software — on your existing contract vehicle, drawing down existing cloud commitments where the listing is eligible. One procurement action instead of a separate training buy.
  • Custom programs built to a business case. For AI and cybersecurity in particular, ThunderCat builds curricula around a specific organizational objective — reducing contractor dependency on a platform your own team should be running, shortening remediation or accreditation timelines, or standing up an internal capability that a program office is currently outsourcing — and defines the measurement before the first session.
  • Role-based paths tied to your actual environment. Not a catalog handed to a workforce. Learning paths mapped to the roles you staff and the platforms you run, so what people learn on Monday applies to the environment they log into on Tuesday.
  • Certification that satisfies requirements, not just resumes. Certification attainment that supports DoD 8140 workforce qualification, agency and contract-specified requirements, and partner program certification counts your organization has to maintain.
  • Reporting a sponsor can defend. Voucher utilization, pass rates, cost per certification attained, and capability measured before and after — delivered in a form that survives a budget review and supports the next funding request.


A seat is an input. A team that can run the platform without help is an outcome. Only one of those gets funded twice.

AI is where cloud budgets are going. It is also where they get wasted. The constraint is rarely the model — it is matching the workload to the right compute, getting that compute under contract at a defensible price, and standing it up somewhere the security team will accredit.

  • Hyperscaler AI services. Managed model access and training infrastructure delivered inside the accounts, regions, and accreditation boundaries you already operate.
  • Specialized AI clouds. Purpose-built GPU providers deliver accelerated compute at price and availability points the hyperscalers do not always match. ThunderCat sources it, puts it on contract, and connects it to the estate you already run.
  • Buy compute like compute. Reserved capacity, on-demand burst, and dedicated clusters evaluated on cost per unit of work rather than published hourly rate.
  • Readiness before models. Data pipelines, access control, logging, evaluation, and model governance — the prerequisites that decide whether a pilot ever reaches production.
  • Accredited and sovereign paths. AWS GovCloud, FedRAMP and GovRAMP-authorized services, and controlled environments for workloads that cannot run in a commercial region.
  • Procurement that keeps up. AI capacity and AI software acquired through the marketplace and existing vehicles, so infrastructure availability sets the timeline instead of the contracting queue.


Most AI programs stall on procurement and infrastructure, not on models. Those are the two things ThunderCat fixes.

Where Cloud Workloads Should Run: Public, Private, and Distributed

ThunderCat designs, sources, and supports cloud workloads across public cloud regions, private and dedicated infrastructure, and distributed and edge locations, operated under a single model for identity, security, cost visibility, and support.

Some workloads belong in a public region. Some belong on hardware you own, in a facility you control, or at a site with no reliable link home. Most portfolios are all of the above. The question was never public or private — it is where each workload runs best, and whether you can still operate the estate as one thing once it is distributed.

  • Public cloud. AWS, Microsoft Azure, and Google Cloud, including AWS GovCloud and other sovereign and regulated regions.
  • Private and dedicated infrastructure. On-premises and colocated platforms for workloads governed by data gravity, latency, classification, or economics.
  • Distributed and edge. Compute placed where the mission happens, including disconnected, tactical, and bandwidth-constrained sites.
  • One operating model across all of it. Consistent identity, security posture, cost visibility, and support, plus the networking and data movement that make a distributed estate behave like a single platform.
Frequently Asked Questions (FAQ)

Yes. Agencies can purchase software through AWS Marketplace, Microsoft Azure Marketplace, and Google Cloud Marketplace using a private offer transacted by a reseller on an existing contract vehicle. ThunderCat structures these transactions through SEWP, GSA Multiple Award Schedule, NASPO ValuePoint, and state and cooperative contracts.

A private offer is a negotiated purchase agreement issued directly to a specific buyer’s cloud account, with custom pricing, duration, and payment schedule rather than the publicly listed terms. ThunderCat structures private offers so the pricing, contract vehicle, and payment schedule all align before the offer is issued.

In most cases, yes. Eligible software purchased through a cloud marketplace counts against an existing AWS, Microsoft, or Google spend commitment. ThunderCat confirms eligibility for each product before structuring a transaction, because eligibility varies by publisher and listing type.

Yes. ThunderCat Technology, LLC is a Service-Disabled, Veteran-Owned Small Business headquartered in Reston, Virginia, with CAGE code 50WM7. Purchases from ThunderCat may count toward federal and state SDVOSB small business goals.

ThunderCat resells Amazon Web Services, including AWS GovCloud, Microsoft Azure, and Google Cloud, along with software available through each provider’s marketplace and capacity from specialized AI cloud providers.

ThunderCat transacts cloud consumption and cloud software through SEWP, GSA Multiple Award Schedule, CIO-CS, and ITES-SW2 for federal customers, and through OMNIA Partners, and state term and cooperative contracts for state, local, and education customers.

ThunderCat reduces cloud costs through commitment and rate optimization, elimination of idle and oversized resources, tagging and account structure that make spend attributable to a program or business unit, and anomaly detection that catches cost increases within the billing cycle rather than at renewal.

Yes. ThunderCat delivers cloud services and software carrying FedRAMP authorization and supports workloads in AWS GovCloud and other sovereign and regulated regions, including environments subject to DoD impact level requirements.

Yes. ThunderCat sources dedicated GPU and accelerated compute capacity from specialized AI cloud providers (neoclouds) and places it under contract alongside hyperscaler infrastructure, so customers can compare options on cost per unit of work rather than list price.

Yes. ThunderCat supports private and dedicated infrastructure on-premises and in colocation, as well as distributed and edge deployments, and operates them alongside public cloud under one model for identity, security, cost visibility, and support.

Yes. ThunderCat works with independent software vendors that want a public sector path to market, listing and transacting their products through cloud marketplaces and federal, state, and cooperative contract vehicles while preserving publisher pricing, deal registration, and support models.

Yes. Training and certification content from vendors listed in AWS Marketplace, Microsoft Azure Marketplace, and Google Cloud Marketplace can be purchased through a private offer on an existing contract vehicle, drawing down existing cloud commitments where the listing is eligible. ThunderCat confirms eligibility per vendor before structuring the transaction.

Yes. ThunderCat provides exam vouchers and authorized courseware from AWS and other major cloud, AI, security, and infrastructure vendors, purchased in volume and managed centrally with tracking for expiration, redemption, and pass rates so unused vouchers do not go to waste.

ThunderCat defines the measurement before a program begins: a baseline of current capability, a target capability tied to a specific business metric, and reporting on voucher utilization, certification attainment, cost per certification, and capability change against that baseline.

Start with the bill you already have.

Send a recent cloud invoice and a list of the software you are renewing in the next two quarters. ThunderCat will show you what can move to the marketplace, what can come off the bill, and what it would take to put an AI workload into production on contract.

Request a Cloud Consumption Review