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    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.

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    Infrastructure Stack Live
    ApplicationsAPM · Logs · Traces
    Operating SystemAgents · RMM · Metrics
    — OS Ceiling —Where most tools stop
    BMC / Out-of-BandRedfish · IPMI · iDRAC · iLO · XClarity
    HardwareCPU · DIMM · NIC · GPU · PSU · Fan · Disk
    Hardware Intelligence for the AI Data Center: illustration of a processor chip with pins
    // 01: The Blind Spot

    The layer your monitoring doesn't see

    Most tools end at the operating system. Modern AI infrastructure fails: and recovers: below it.

    01

    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.

    02

    Pre-failure signals lost

    DIMM correctable errors, PSU degradation, fan drift and thermal trends live in BMC logs your monitoring never reads.

    03

    GPU fleet opacity

    AI workloads stress GPUs hard. Without out-of-band telemetry, thermal throttling and ECC events go unnoticed until jobs fail.

    04

    Multi-vendor chaos

    Dell iDRAC, HPE iLO, Lenovo XClarity, Supermicro, Inspur: every vendor speaks differently. Stitching it together is the work.

    // 02: Telemetry

    One normalized telemetry layer

    Out-of-band protocols, vendor BMCs and GPU telemetry: unified into one operational model.

    ProtocolLayerVendors / Devices
    RedfishModern OOB APIDell, HPE, Lenovo, Supermicro, Inspur, Cisco
    IPMI 2.0Legacy OOBAll major server vendors (fallback path)
    iDRACVendor BMCDell PowerEdge
    iLOVendor BMCHPE ProLiant / Synergy
    XClarityVendor BMCLenovo ThinkSystem
    SNMP / PETTrap & pollingNetwork, storage, PDU, UPS
    NVIDIA SMI / DCGMGPU telemetryNVIDIA H100, A100, L40S, B200
    // 03: Intelligence

    From telemetry to intelligence

    Visibility is the floor. The value is what AI does with it across thousands of nodes.

    // 01

    See everything, in one model

    Before

    Five vendor consoles, three trap receivers, a spreadsheet of warranty dates.

    After

    One normalized hardware inventory across all vendors, refreshed live from BMC.

    // 02

    Predict before it fails

    Before

    DIMM throws correctable errors for two weeks, then a node panics at 3 AM.

    After

    Sensaka detects the trend, scores risk, opens a ticket with the failing slot.

    // 03

    Connect hardware to business

    Before

    A fan failure alert nobody knows what it impacts.

    After

    SmartBSM maps the node to the workload, the workload to the service, the service to the SLA.

    // 04: Position

    Where Sensaka sits vs RMM and DCIM

    Below RMM. Beyond classic DCIM. Connected up to the business.

    CapabilityRMMDCIMSensaka
    Visibility when OS is downLostPartial◆Full via BMC
    Multi-vendor hardware normalizationNoLimited◆Native across vendors
    GPU & AI fabric telemetryOS metrics onlyRare◆DCGM + BMC + thermal
    Predictive component failureNoAsset only◆Pattern-based scoring
    Business service mappingNoNo◆SmartBSM
    Deployment modelAgents per hostHeavy install◆Agentless OOB
    DCOS · Hardware Operating System

    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
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    sensaka · live stream
    10:42:01node-a17 · DIMM_C2 correctable errors +18/h
    10:42:14node-g04 · GPU3 thermal margin 4°C
    10:42:27predict · node-a17 · DIMM failure risk 0.82
    10:42:30act · ticket #4821 opened · slot C2 flagged
    10:42:44map · service "billing-api" impact: low
    // 05: FAQ

    Frequently asked

    Hardware intelligence is the practice of collecting telemetry directly from server, network, storage and GPU hardware: independent of the operating system: and applying analytics to detect failure patterns, capacity drift and operational risk before they impact services.

    AI workloads run hardware closer to thermal and electrical limits. GPUs throttle silently, DIMMs and NVLink fabrics generate correctable errors, and PSUs run at higher sustained load. OS-level monitoring sees symptoms; BMC and DCGM see causes.

    RMM operates inside the OS via agents. DCIM focuses on facility and asset management. Sensaka operates at the hardware layer through out-of-band protocols, normalizes across vendors, and links events upward into operations and business services.

    Redfish, IPMI 2.0, SNMP/PET, NVIDIA DCGM, plus vendor BMCs including Dell iDRAC, HPE iLO, Lenovo XClarity, Supermicro and Inspur. Storage and network devices are covered through SNMP and vendor APIs.

    No. Sensaka is agentless by default and uses the existing BMC on every modern server. Agents are optional only where deeper OS-side context is required.

    See your hardware. Then make it intelligent.

    Start with an online trial on your own infrastructure. No agents to deploy, no hardware to ship.

    Request an Online Trial Talk to an Engineer

    References: out-of-band management and AIOps.

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