Every customer conversation we have starts with one of these four. Most start with two or three at once. On the 30-minute discovery call we figure out which one is hurting most, where the math works, and what the migration shape would look like — before anyone signs anything.
Most enterprise cloud spend isn't elastic — it's a steady-state baseline running 24/7. File servers, databases, application tiers, dev/test environments, internal SaaS — sitting on top of pricing models built to capture peak. On the discovery call we diagnose which workloads belong on the hyperscaler, which belong on private cloud, and what the savings look like in writing. The customers we connect typically see roughly twenty percent reductions on like-for-like workloads, with no egress fees inside the network and no long-term commitments to renegotiate later.
Hyperscaler GPU capacity is rationed by waitlists, regional shortages, and one-to-three-year reservations. AI teams are stuck paying for capacity they aren't using yet, or waiting for capacity they need now. RRDC connects customers to private dedicated GPU capacity in the network — provisioned in days, billed monthly, with the network throughput AI workloads actually need and the data locality that keeps training cost-effective.
Broadcom's VMware repricing has reset every infrastructure budget meeting in the industry. The question isn't whether to migrate — it's where to land. On the discovery call we diagnose your workload portfolio, identify what migrates cleanly to open-stack private cloud, and map a phased exit path that minimizes application reconfiguration. The target isn't another proprietary platform — it's open architecture that doesn't recreate the same lock-in problem somewhere else.
Server (storage and memory) lead times stretched to six and nine months. GPU lead times stretched to three or four quarters. Component costs up, sometimes dramatically. If you're sitting on a hardware refresh that keeps slipping, RRDC diagnoses two options: bridge to private cloud capacity while you wait for OEM delivery, or replace the refresh entirely with consumption-based capacity. Same enterprise-grade hardware. None of the procurement.
Adjacent use cases with their own buyer entry points and their own regulatory tailwinds. Same network, same engagement model, same starting point: a 30-minute discovery call.
Air-gapped, immutable recovery environments in a network the production hyperscaler can't reach. The answer to the "where do we put our golden copy" question cyber insurance underwriters are now asking before they'll write a policy.
Book a discovery call →Canada's AI for All strategy made sovereign compute a national priority, and procurement has already followed. Most federal RFPs now carry residency language; Alberta excludes CLOUD Act-subject vendors outright. We diagnose which obligation actually applies to you, and what satisfies it.
Read the sovereign cloud brief →Stand up a parallel environment in days when you carve out a business unit, integrate an acquisition, or split infrastructure. No long-tail commitments. Tear it down when the transition is complete.
Book a discovery call →Thirty minutes. Bring your environment, your numbers, your top three workloads. Walk away with a written cost comparison and a migration shape — or with a clear "no, don't move this" if the fit isn't there. No engagement fee.
Or email sales@rrdc.cloud
RRDC