Dedicated GPUs.
Built around your workload.
Delivered where AI runs.
ARO provides single-tenant NVIDIA B300 and H200 capacity in U.S. data centers, from one rack to thousands of GPUs, on multi-year reservations. One partner finances, builds, and operates the infrastructure, and one team answers the phone. When a workload needs to sit closer to its data, our Micro Edge Data Hubs bring the same model to regional sites.
The hyperscalers built for training. The world is shipping inference.
Shipping it well takes capacity you can count on.
You do not need to wait in a shared pool to run production AI. You need dedicated B300 or H200 servers, reserved for your term, in a data center with the power, cooling, and bandwidth to keep them running, and a team that picks up when you call. That is what ARO delivers.
Capacity you rent by the hour, next to strangers
Your workload lands in a multi-tenant pool, competes for the same hardware, and moves when the provider says so. The price changes with the market and the queue changes with the day.
- Shared GPUs, shared neighbors, surprise queue depth
- Spot pricing that moves against you when demand spikes
- Capacity that can be reclaimed or relocated mid-project
- A ticket queue between you and the hardware
Your servers, your racks, reserved for the term
Single-tenant B300 or H200 servers in a named U.S. data center, built to your spec, priced for the term, and operated by one accountable partner.
- Dedicated hardware, predictable performance, no waits
- Multi-year pricing you can plan a product around
- Capacity that stays where you put it
- One point of contact, backed by a 24/7 NOC
Three ways to get dedicated GPU capacity.
Every engagement is single-tenant and reserved for a term. The difference is how much of the stack you want to own and operate yourself.
Cloud GPU access
Reserved B300 or H200 capacity you reach over the network. ARO provisions the servers, the storage, and the connectivity. You bring the models and the containers. Best when you want dedicated hardware without running a data center footprint.
Dedicated clusters
Single-tenant clusters built to your specification, from one rack up to thousands of GPUs across multiple sites. You choose the GPU, the server vendor, the interconnect, and the storage profile. ARO finances, builds, and operates it for the term.
Hosted infrastructure
ARO places and operates GPU infrastructure in partner data centers on your behalf, with the power, cooling, bandwidth, and hands-on support handled by one team. Best for operators who need capacity in a new market without a new facility relationship.
Where the capacity lives.
ARO capacity is deployed in professionally operated U.S. data centers with the power, cooling, and carrier access that dense GPU racks require, and in regional Micro Edge Data Hubs where a workload needs to be closer to its data. Site-level detail is shared during the reservation conversation.
Southeast U.S.
Data center capacity
Liquid-cooled racks for 8-GPU B300 and H200 servers. 415 V three-phase power, multi-carrier fiber, and 100 GbE tenant backhaul.
Facility, rack count, and delivery windows shared during the reservation conversation.
Mid-Atlantic U.S.
Data center capacity
Liquid-cooled racks for 8-GPU B300 and H200 servers. 415 V three-phase power, multi-carrier fiber, and 100 GbE tenant backhaul.
Facility, rack count, and delivery windows shared during the reservation conversation.
Regional sites
Micro Edge Data Hubs
Smaller single-tenant deployments inside host properties, starting at a single 8-GPU server, for workloads that need to sit next to the data they process.
Based on your region and needs. How the property program works →
Capacity by site, delivery windows, and facility specifications are shared in writing during the reservation conversation. ARO does not publish tenant names or deal sizes.
Built for teams that need capacity they can count on.
Three things separate ARO from shared GPU clouds and hyperscaler regions.
Single-tenant by default
Dedicated servers and dedicated racks, not a slice of a shared pool. Predictable performance, predictable cost, an isolated security boundary, and no noisy neighbors.
Scales with the site, not a ceiling
Reservations start at one rack and grow with the rack space available at each site, up to thousands of GPUs across multiple locations. We size every reservation to your workload, not to a menu.
One point of contact
ARO is accountable for every server at every site. Hardware, facility, network, and tenant escalations all route to the ARO NOC, backed by our management partners, so you never chase a vendor yourself.
How ARO capacity plugs into your operation.
Your models and data on one side, your users on the other, dedicated hardware in the middle that ARO builds and runs.
Current-generation NVIDIA, from the vendors that build it.
A condensed view of what ARO deploys. Specs depend on configuration; the full data sheet lives on the hardware page.
Built for the AI workloads that need dedicated hardware.
Production inference is the lead workload. The same reserved capacity runs fine-tuning, multimodal pipelines, and the regulated workloads that cannot live in a shared pool.
Production inference and agents at scale
288 GB of memory per B300 holds large models and long contexts on fewer GPUs, with NVLink across the server for tensor parallelism. Built for serving, RAG, and agent workloads where latency and throughput both matter.
Medical imaging and clinical inference
Radiology, pathology, and clinical decision support on dedicated hardware, with audit logging and isolated tenant environments by design.
Data-residency-sensitive enterprise inference
Single-tenant deployments kept inside the United States, for financial, legal, and public-sector workloads where tenancy and audit posture matter more than burst capacity.
Sensor pipelines and real-time vision
Video, sensor, and building-systems data processed on dedicated GPUs, in a data center or at a Micro Edge Data Hub next to the source when latency demands it.
Inference for autonomous systems
Vehicle and robotics fleets need GPU inference close to the operating environment, with the single-tenant guarantees a safety case requires.
Manufacturing and connected operations
Predictive maintenance, defect detection, and process optimization with data sovereignty over sensor and process telemetry.
One partner. One phone number. Every site.
ARO finances the hardware, builds the deployment, and operates it for the term. Whatever goes wrong, at whatever layer, you call ARO and ARO owns it.
See how support works →- Single point of contactEvery call routes to the ARO NOC, backed by our management partners. No vendor hand-offs for you to manage.
- 24/7 monitoringContinuous health checks, telemetry, and alerting on every server at every site.
- Manufacturer-backed maintenanceOEM warranty and support on every server, with on-site response coordinated by ARO.
- Insured equipmentProperty and cyber liability coverage carried by ARO. Tenants carry no hardware risk.
The companies behind every deployment.
Hardware, connectivity, facilities, and channel partners ARO works with to build and operate dedicated GPU capacity.
Operators, not theorists.
Founder of Additional Revenue Opportunities ARO LLC. Three decades operating businesses at the intersection of communications, real-estate-resident infrastructure, and ancillary revenue. Leads ARO's capital strategy, site origination, and tenant relationships.
Senior sales and partnerships executive, 20+ years across hospitality, healthcare, retail, and multi-site enterprise. Marine Corps, Army, and State Department alumnus. Most recently led Samsung Electronics enterprise TV business development; previously helped scale Ruckus Wireless to 4,000+ hotel deployments and influenced more than $300M in partner-driven pipeline. Leads ARO's compute infrastructure strategy and tenant pipeline.
Talk to our capacity team.
Sizing GPU capacity for the next 12 to 36 months or longer? Tell us the workload and the constraint. We come back within two business days with a sized configuration, in writing. Prepay discounts available on multi-year terms.