InfraSight360 by Gnanum Enterprises

Intelligence for every layer of your Data Center.

From application to silicon, InfraSight360 uncovers the hidden capacity in your CPUs, GPUs, memory, storage and network, and converts it into Faster AI, Lower costs and Leaner Energy use.

Application performance Compute utilization Power consumption Infrastructure cost
Why InfraSight360

The question the AI industry should be asking.

With the scale of capital now invested in AI infrastructure, building more compute is only half the answer.

Everyone is asking “How do we build more compute?”

More data centers, more accelerators, more power — the industry’s default response to demand.

We ask “What if your next leap in AI performance is already within your walls?”

While the industry races to add capacity, InfraSight360 unlocks the performance already sitting idle in your infrastructure — more output from every GPU, rack and watt you own.

Visibility depth · interactive model

Most monitoring stops where the real inefficiency begins.

Explore the stack layer by layer. Conventional tools see the top three. InfraSight360 sees all seven — and connects every layer back to the application that caused it.

Application

Conventional monitoring

Requests, errors and latency.

InfraSight360

Ties each request to the hardware events that slowed it down.

How it works

From silicon signals to practical action.

Four stages turn raw hardware behavior into decisions that improve performance, utilization, power and cost.

01 · COLLECT

Full-stack telemetry

Application, OS, CPU, GPU, memory, storage, network, power and cooling signals — captured together.

02 · CORRELATE

Application ↔ silicon

Links what the application is doing to what is actually happening at the microarchitectural level.

03 · DIAGNOSE

Find the real bottleneck

Workload characterization, phase analysis and bottleneck detection reveal where capacity is lost.

04 · OPTIMIZE

Act on the evidence

Code, compiler, placement, power and cooling recommendations that lift performance and cut waste.

Observation

Every signal that shapes performance — in one correlated view.

From application metrics to cooling, InfraSight360 brings the full stack together so cause and effect are finally visible.

Application MetricsSoftware
OS-Level MetricsSoftware
CPU TelemetryCompute
GPU TelemetryCompute
Microarchitectural TracesSilicon
Memory AnalysisData path
Storage AnalysisData path
Network TelemetryData path
Power TelemetryFacility
Cooling MetricsFacility
Full-Stack ObservabilityEverything, correlated
Data center intelligence & optimization

Explore the full capability set.

From diagnosing a single workload to optimizing an entire AI data center for performance, power and carbon.

Understand the workload01 / 06

Analyze

Characterize how each workload behaves over time and find exactly where performance and capacity are being lost.

  1. Workload CharacterizationA precise profile of how each workload uses compute, memory and I/O.
  2. Workload Phase AnalysisReveals how demand shifts across a job’s stages, so resources follow the work.
  3. Bottleneck DetectionPinpoints the exact component holding performance back — and why.
  4. Performance AnalysisMeasures real throughput and latency against what the hardware can deliver.
Outcomes

Practical results, measured where they matter.

The objective is simple: more useful work from every server, accelerator and watt you already pay for.

Faster applications

Remove the hidden hardware bottlenecks that slow critical workloads.

Higher utilization

Get more from expensive CPUs and GPUs before buying more of them.

Lower power

Reduce energy and cooling demand through smarter placement and scheduling.

Lower infrastructure cost

Defer capital spend by unlocking capacity in the infrastructure you already own.

Product direction

From insight to autonomous optimization.

Today InfraSight360 observes and analyzes. The direction is toward predicting problems, recommending changes and, eventually, optimizing workloads automatically — balancing performance, cost, power and cooling.

01

Observe

Full-stack and microarchitectural visibility, correlated end to end.

02

Analyze

Characterize workloads and pinpoint the bottlenecks behind lost capacity.

03

Predict

Anticipate performance, power and thermal problems before they occur.

04

Recommend

Suggest specific changes to code, configuration and placement.

05

Optimize automatically

Continuously tune workloads across performance, cost, power and cooling.

Built for

Wherever compute is expensive and capacity is critical.

Designed for the environments where every percentage point of efficiency carries real cost, power and carbon impact.

AI data centers

Raise accelerator utilization and capacity while containing power and cooling.

High-performance computing

Tune scientific and engineering workloads down to the microarchitecture.

Hyperscale infrastructure

Small efficiency gains compound across fleets of servers and accelerators.

Enterprise AI infrastructure

Make private AI investments perform — and justify — every dollar spent.

InfraSight360 by Gnanum Enterprises

How much more could your existing infrastructure deliver?

Book a technical briefing. We’ll walk through how InfraSight360 would analyze your workloads and where the opportunity is likely to be.