Infrastructure command
Real operations need one visible model from rack, power, and cooling to customer impact.
RACKVISOR AI OPS
Rackvisor command layer
AI data center operations, visible from rack to revenue.
A premium operating system for teams running GPU clouds, AI labs, colocation estates, and enterprise AI infrastructure under real power, cooling, customer, and capacity constraints.
USA GPU estate live
03 sites / 418 racksRack health by customer impact
A1738.4 kW42.3 CCustomer A
B0422.1 kW31.8 CInternal lab
C1211.8 kW33.2 CShared fabric
Inventory source of truthIncident blast radiusCapacity planningPower and cooling context
AI infrastructure data center ops
Run GPU data centers from the rack up.
Rackvisor unifies inventory, incidents, capacity, customers, power, and cooling for infrastructure teams operating high-density AI environments.
Built for USA-grade reliability, auditability, and infrastructure rigor.
Live operations
USA DC-13core modules for AI data center ops
A/Bpower path and rack dependency tracking
24/7incident context for operations teams
USAbuilt for USA and global infrastructure teams
RackLoadRiskOwner
Rack A1738.4kWInlet risingCustomer A
Rack B0422.1kWStableInternal lab
Rack C1211.8kWPDU feed watchShared
Rack D0917.3kWStableCustomer C
Built for the operational reality of teams like
CoreWeaveLambdaNebiusEquinixDigital RealtyOVHcloudCyrusOneVantageScalewayHetznerCoreWeaveLambdaNebiusEquinixDigital RealtyOVHcloudCyrusOneVantageScalewayHetzner
One model for the physical AI stack
Inventory, incidents, and capacity finally share the same truth.
Rackvisor connects the operational surfaces that GPU infrastructure teams usually manage in separate tools: racks, power, cooling, assets, customers, failures, and expansion plans.
Rackvisor Inventory
Live source of truth for GPU racks, assets, circuits, owners, and customers.
Rackvisor Incidents
Coordinate failures across power, cooling, network, compute, and customer impact.
Rackvisor Capacity
Plan GPU density, rack fit, thermal margin, and sellable capacity before risk appears.
Built for high-density operations
Purpose-built for the hard parts of AI data center ops.
Rack-aware operations
Every incident, customer, asset, and plan can be traced back to its physical rack, room, zone, circuit, and owner.
Power and cooling context
See the margin that matters for GPU density: power draw, feeds, cooling zones, inlet risk, and thermal watchlists.
Customer blast radius
Know which tenants, labs, clusters, and contracts are affected before the first status update goes out.
Capacity scenarios
Test what a new GPU cluster does to room-level capacity, rack fit, and operational risk before deployment.
Workflow memory
Turn incidents, changes, audits, and expansion plans into reusable operational history instead of buried tickets.
Integration ready
Designed to connect with observability, ticketing, DCIM sensors, inventory exports, and internal customer systems.
From alert to customer impact
When a rack heats up, the platform already knows what is at stake.
Rackvisor brings physical context into the incident timeline: which rack, which circuit, which cooling zone, which customer, which capacity plan.
02:14Thermal anomaly detected on Rack A17
02:1616 GPU nodes and 2 customer clusters mapped to impact
02:18Capacity engine recommends shifting 120kW to Zone B
02:31Customer update generated with rack and service context
Who it is for
For the teams that make AI infrastructure physically real.
GPU cloud providers
Operate customer clusters without losing sight of physical constraints.
AI labs
Keep training infrastructure visible from reservation to failure review.
Colocation teams
Connect tenants, racks, power paths, and incidents in one operating model.
Enterprise infra
Give SRE, facilities, and infrastructure leaders the same capacity picture.
Operator trust
Made for teams that cannot afford vague infrastructure data.
"Rackvisor is the first product that speaks both languages: the rack room and the customer room. It changed how we run capacity reviews."
Marta NowakHead of Infrastructure Operations, USA GPU Cloud
"Our incident calls stopped becoming detective work. The affected racks, circuits, and tenants are visible before the bridge starts."
Jonas RichterDirector of Data Center Reliability, AI Infrastructure Lab
"The product feels built for high-density environments. Capacity is finally a shared number instead of four teams arguing from four exports."
Elena KovacsVP Colocation Operations, Regional Data Centers
Pricing
Start with the operating layer your infrastructure needs now.
Plans are tailored because rack counts, sites, integrations, and operational maturity vary across GPU clouds, colocation providers, and AI labs.
Launch
From USD 2,400/moFor emerging GPU cloud and lab teams standardizing inventory and incident workflows.
- Up to 300 racks
- Inventory and Incidents
- Email support
- Quarterly capacity review
Scale
CustomFor colocation and AI infrastructure operators managing multiple sites and customers.
- Multi-site operations
- Capacity scenarios
- Customer impact mapping
- Priority support
Enterprise
CustomFor regulated infrastructure teams needing custom integrations, controls, and rollout support.
- SSO and audit controls
- Custom integrations
- Dedicated success lead
- Security review support
Company
Built in the USA for the next generation of global AI infrastructure.
Rackvisor exists because AI infrastructure has become too physical, too dense, and too customer-critical to run from disconnected exports. Our product brings data center operations, facilities, SRE, and commercial teams into one operating language.
FAQ
Questions infrastructure teams ask first.
Is Rackvisor a DCIM replacement?
Rackvisor can replace spreadsheet-led DCIM workflows, but it can also sit beside existing DCIM, observability, and ticketing systems as the AI infrastructure operations layer.
Is this only for GPU cloud providers?
No. GPU clouds are the sharpest use case, but the platform also fits AI labs, colocation teams, HPC sites, and enterprise teams running high-density infrastructure.
Does Rackvisor manage customer impact?
Yes. Assets, racks, incidents, and capacity plans can be tied to customers, internal teams, clusters, and services so operations can communicate impact quickly.
Where is Rackvisor based?
Rackvisor is a USA-based product startup built for infrastructure teams operating in demanding global data center environments.
Product walkthrough
See how a thermal event becomes inventory context, incident response, and capacity learning.
Contact sales