Compute should never be the bottleneck
Reviosa exists so that the distance between an idea and a running experiment is measured in seconds, not procurement cycles. We build and operate the GPU cloud we always wished we could rent.
Founded 2023 · Reviosa, Inc. · US-based · Four regions on three continents
Built by the people who got waitlisted
In 2023, our founders were infrastructure engineers trying to train a model. The quotes they got back were absurd: nine-month waitlists for H100s, three-year reserved commitments, and sales calls just to see a price. So they leased a data hall in Ashburn, Virginia, racked the first hundred GPUs themselves, and put a per-second price on a public page.
That instinct never changed. Reviosa, Inc. owns and operates every GPU it sells — no resold capacity, no spot-market arbitrage. Three years later the fleet spans four regions and more than 12,000 GPUs under management, from single RTX 4090 dev cards to 8× H100 SXM training pods, all connected by a private backbone we run ourselves.
We are still an engineering company first. Of our 40+ people, most work in engineering and data-center operations — which is why a support ticket at 3 a.m. is answered by the on-call engineer who can actually fix the problem.
Reviosa, Inc. at a glance
4
regions on three continents
12k+
GPUs under management
40+
engineers & operators
2023
founded in the United States
Three rules we don’t break
Every roadmap debate at Reviosa ends the same way: does it make compute faster, cheaper, or more honest? If not, it doesn’t ship.
Numbers over adjectives
We publish utilization, latency, and uptime — and let the measurements argue. If a claim on this site has no number attached, it doesn’t belong on this site.
Own the hardware
Every GPU we rent out runs in a facility we operate. No resold capacity means accountability ends at our door — never someone else’s.
Engineers answer the phone
Tickets route to the on-call engineer, not a deflection bot. Median first response is under 15 minutes — every hour of every day.
Four regions, one private fabric
Reviosa runs its own halls in each region, linked by a private backbone with a free egress allowance. Launch in whichever region is closest — the console, CLI, and API are identical everywhere.
See what runs in each regionAshburn, VA
US East · us-east-1
Our flagship region and first hall, opened 2023. Home of the B200, H200, and 8× H100 SXM training pods.
Portland, OR
US West · us-west-2
Hydro-powered halls opened 2024. A favorite of render farms and media teams on RTX 5090 and L40S fleets.
Frankfurt
EU Central · eu-central-1
EU data residency for regulated teams, opened 2024. Workloads and volumes never leave the region unless you move them.
Tokyo
Asia Pacific · ap-northeast-1
Our newest region, opened 2025. Single-digit-millisecond latency to major APAC metros for inference at the edge.
The team behind the fleet
A leadership bench that has racked servers, paged at 3 a.m., and shipped models to production — because that is who our customers are, too.
Maya Reyes
Co-founder & CEO
Ran training infrastructure at a frontier ML lab before founding Reviosa. Still reviews the utilization dashboards every morning.
Daniel Okafor
Co-founder & CTO
Wrote the first version of the Reviosa scheduler. A distributed-systems engineer who thinks in failure domains.
Sofia Lindqvist
VP Engineering
Leads the platform and SRE organizations across all four regions — and is the keeper of the 99.9% uptime SLA.
Marcus Chen
VP Sales
Helps teams plan reserved capacity, from seed-stage labs to public companies. Believes a price you can read beats a pitch you must sit through.
We’re hiring
Small team, real hardware, customers who notice milliseconds. If you want your work to show up in someone’s training-run wall clock, we should talk.
View open rolesRemote-first across the US · on-site in Ashburn, VA
GPU Kernel Engineer
Engineering
Site Reliability Engineer
Infrastructure
Data Center Technician
Operations
Product Engineer, Console
Engineering
Enterprise Account Executive
Sales
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