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Solutions

The same platform. Four different operating problems.

What differs by segment is not the feature list, it is which capability decides the business case. Here is the honest version for each.

Colocation

Tenant isolation you can put in a contract.

A hundred tenants, a hundred expectations of privacy, and one audit that asks how the boundary is enforced. In this platform the answer is not "the interface filters it", visibility is resolved by recursive query at the data layer, so a tenant scope is a property of the read itself.

Cage 14 cannot see Cage 12, because the query that would return Cage 12 never runs.
What decides the deal

Per-tenant alarm isolation

Alarm rules, escalation policies and notification defaults are scoped per account, so one tenant's tuning cannot leak noise into another's queue.

Metering that maps to the cage

Modbus and MQTT PDU telemetry against a location tree of building, floor, room, row, rack and slot, power attributed where the invoice is.

SLA proof as a by-product

Full alarm action history and an indefinitely retained audit log mean the evidence for an SLA credit dispute already exists, timestamped and attributed.

Unlimited account depth

Model reseller, tenant and tenant-site relationships as they actually are, not as a two-level product allows.

Managed services

An account tree shaped like your client list.

Your margin comes from operating many estates with one team. That requires a platform where a client, their sites and their environments are first-class structure, and where a platform-operator tier sits above every tenant without being a member of any of them.

Onboard one client as a proof of concept, then roll out across the book.
What decides the deal

Automation-first surface

Per-user API keys with expiry and revocation, signed webhooks into your ticketing flow, Kafka topics into your observability stack.

Vendor-neutral by necessity

You do not choose your clients' hardware. Nine protocols across every OEM means onboarding a new client is configuration, not a procurement conversation.

Bulk onboarding

A new client's inventory arrives as a spreadsheet. Fuzzy catalog matching, per-field review and one-click promotion turn that into a live registry the same day.

Role granularity

Per-account roles with CRUD permissions per object type, plus identity federation, so client staff can hold read access to their own estate safely.

AI and HPC

A GPU rack is a thermal problem with a schedule attached.

At 40 to 130 kW a rack, the useful question is not what the temperature is now, it is whether the cooling can absorb what the queue is about to dispatch. That requires GPU telemetry and scheduler state in the same model, which is the gap this platform was built to close.

Hardware faults fire at full priority. Training runs stop being treated as anomalies.
What decides the deal

Per-GPU telemetry, not per-node averages

Junction temperature, power, SM utilisation, memory, ECC, NVLink and PCIe throughput for every GPU index in the node.

Workload-aware health

SLURM, Kubernetes or Ironic state suppresses the anomaly penalty during active work, so a node under load does not degrade its own grade.

ECC as a first-order signal

Any non-zero uncorrectable ECC reading raises a P1, the failure mode that quietly corrupts a multi-week run.

PTLA thermal risk

Queue pressure, GPU headroom and this rack's measured cooling response combined into one forward-looking score, with pre-cool guidance above 0.7. How it is computed

Liquid cooling in the same view

CDU coolant supply and return temperature, flow rate, pressure, pump speed and capacity via Redfish ThermalEquipment.

Enterprise and edge

You already own the hardware. Own the operations layer too.

Three OEMs of servers, two of UPS, someone else's chillers and a network team with its own tools. Consolidation is the entire business case, one operational surface, deployed on infrastructure you control, with no dependency on a vendor cloud.

On-premises is the default posture, not an enterprise-tier concession.
What decides the deal

Console consolidation

One inventory, one alarm queue and one audit trail across every OEM, replacing per-vendor tooling and the training that goes with it.

Alert fatigue, addressed structurally

Deduplication, burst filtering, auto-shelving of noisy rules and cascade suppression, the reason a small NOC can cover a large estate.

Edge sites without staff

Retail, telecom and healthcare closets monitored over Modbus, MQTT and SNMP, with escalation reaching whoever is actually on call.

Sustainability reporting

A PUE proxy from IT against facility power, plus BACnet visibility into the plant that actually drives it, the granularity disclosure regimes now expect.

Proof of concept

Thirty days, no lab hardware, no change window.

WEEK 01

Stand up and simulate

Deploy on one host and run the built-in simulators for all nine protocols. Your team sees the full alarm and telemetry surface before a single device is touched.

WEEK 02

Onboard a real slice

Import the inventory for one room or one tenant, resolve the catalog matches, and point the drivers at live equipment read-only.

WEEK 03

Tune the alarm model

Set thresholds and deadbands, wire escalation to your on-call, and let the noise analysis tell you which of your inherited rules were never worth firing.

WEEK 04

Measure and decide

Compare alarm volume, acknowledgement times and correlation effort against the baseline your NOC recorded in week one.

Tell us which of the four you are, and we will skip the rest of the pitch.

Request a briefing
Silver Ridge Group LLC · Irvine, California
+1 714-381-7883