Hardware Intelligence for the AI Data Center
BMC, OOB, Redfish, iDRAC, iLO — the telemetry layer below the OS. Sensaka makes hardware visible across vendors, then makes it intelligent with AI.
The layer your monitoring doesn't see
Most tools end at the operating system. Modern AI infrastructure fails — and recovers — below it.
OS down, server invisible
When the OS hangs or crashes, agent-based tools go silent. The server is still alive — you just can't see it.
Pre-failure signals lost
DIMM correctable errors, PSU degradation, fan drift and thermal trends live in BMC logs your monitoring never reads.
GPU fleet opacity
AI workloads stress GPUs hard. Without out-of-band telemetry, thermal throttling and ECC events go unnoticed until jobs fail.
Multi-vendor chaos
Dell iDRAC, HPE iLO, Lenovo XClarity, Supermicro, Inspur — every vendor speaks differently. Stitching it together is the work.
One normalized telemetry layer
Out-of-band protocols, vendor BMCs and GPU telemetry — unified into one operational model.
| Protocol | Layer | Vendors / Devices |
|---|---|---|
| Redfish | Modern OOB API | Dell, HPE, Lenovo, Supermicro, Inspur, Cisco |
| IPMI 2.0 | Legacy OOB | All major server vendors (fallback path) |
| iDRAC | Vendor BMC | Dell PowerEdge |
| iLO | Vendor BMC | HPE ProLiant / Synergy |
| XClarity | Vendor BMC | Lenovo ThinkSystem |
| SNMP / PET | Trap & polling | Network, storage, PDU, UPS |
| NVIDIA SMI / DCGM | GPU telemetry | NVIDIA H100, A100, L40S, B200 |
From telemetry to intelligence
Visibility is the floor. The value is what AI does with it across thousands of nodes.
See everything, in one model
Five vendor consoles, three trap receivers, a spreadsheet of warranty dates.
One normalized hardware inventory across all vendors, refreshed live from BMC.
Predict before it fails
DIMM throws correctable errors for two weeks, then a node panics at 3 AM.
Sensaka detects the trend, scores risk, opens a ticket with the failing slot.
Connect hardware to business
A fan failure alert nobody knows what it impacts.
SmartBSM maps the node to the workload, the workload to the service, the service to the SLA.
Where Sensaka sits vs RMM and DCIM
Below RMM. Beyond classic DCIM. Connected up to the business.
| Capability | RMM | DCIM | Sensaka |
|---|---|---|---|
| Visibility when OS is down | Lost | Partial | ◆Full via BMC |
| Multi-vendor hardware normalization | No | Limited | ◆Native across vendors |
| GPU & AI fabric telemetry | OS metrics only | Rare | ◆DCGM + BMC + thermal |
| Predictive component failure | No | Asset only | ◆Pattern-based scoring |
| Business service mapping | No | No | ◆SmartBSM |
| Deployment model | Agents per host | Heavy install | ◆Agentless OOB |
The hardware operating system for AI infrastructure
Discover, normalize, monitor and control servers, GPUs, network and storage from a single agentless platform — across every major vendor.
- ◆Agentless out-of-band discovery and inventory
- ◆Component-level health: CPU, DIMM, PSU, fan, NIC, GPU, disk
- ◆Predictive failure scoring across the fleet
- ◆Native multi-vendor: Dell, HPE, Lenovo, Supermicro, Inspur, NVIDIA
Frequently asked
See your hardware. Then make it intelligent.
Start with an online trial on your own infrastructure. No agents to deploy, no hardware to ship.
References: out-of-band management and AIOps.