AI-NATIVE SOLUTIONS FOR AI INFRASTRUCTURE AI-NATIVESOLUTIONS FORAI INFRASTRUCTURE
Featured
[Learn More]
The stakes behind every rack: underutilization, multi-vendor complexity, and frequent failures span the full infrastructure lifecycle.
Why GPU optimization matters. Underutilization, multi-vendor complexity, and frequent failures cannot be solved in isolation. The problem spans the full infrastructure lifecycle—from the moment a rack arrives to every workload it runs afterward.
XPerf connects validation, continuous operations, and scheduling so infrastructure teams can prevent downtime and extract more productive output from every accelerator.
Value Proposition
The XPerf Platform. Three Products. One Infrastructure Lifecycle.
Validate racks before production, keep clusters healthy, and schedule workloads for maximum output. XPerf covers the full lifecycle—from the moment a rack arrives to every workload it runs afterward.
Three products, one lifecycle: ClusterReady validates, ClusterBeacon prevents failures, and ClusterMarshal maximizes productive output.
- 01
ClusterReady
Manual rack validation takes weeks and still misses silent performance degradation. New racks reach production without a trusted tokens-per-second baseline.
Automated rack and cluster validation in hours, not weeks—AI workloads, a proprietary test suite, root cause, and a tokens-per-second baseline.
[Explore the platform]ClusterReady
- 02
ClusterBeacon
GPU, memory, and network incidents interrupt training and delay production—and conventional tooling only reacts after damage is done.
Autonomous failure prevention, self-healing, and an incident knowledge base—fully on-premise, with human-in-the-loop control.
[Explore the platform]ClusterBeacon
- 03
ClusterMarshal
Fragmented workloads and rigid scheduling leave 35–45% of compute performance unused even when the cluster appears fully booked.
Intelligent inference and post-training scheduling across NVIDIA, AMD, and ASIC clusters with sub-second response—built on NVIDIA KAI Scheduler.
[Explore the platform]ClusterMarshal
- 04
Multi-Vendor Support
Every vendor ships its own diagnostics, telemetry, and management stack—none of them agree on what healthy looks like.
One platform across NVIDIA, AMD, and ASIC clusters: consistent validation, operations, and scheduling for every generation.
[Explore the platform]Multi-Vendor Support
- 05
Failures & Downtime
Training interruptions hit 54%+ of large runs, and every idle hour of a GPU rack burns real money.
Proactive failure prevention with root-cause diagnosis and automated remediation—issues are healed before they interrupt training.
[Explore the platform]Failures & Downtime
How it Works. One Lifecycle From Rack Arrival to Maximum Output.
XPerf validates racks 10× faster, delivers 100×–1000× operations efficiency gains, and unlocks 50%–100%+ more revenue through intelligent scheduling. Three products cover the lifecycle—from the moment a rack arrives to every workload it runs afterward.
Validate
Pre-production rack and cluster validation in hours, not weeks.
Operate
Autonomous failure prevention, self-healing, and an incident knowledge base.
Maximize
Intelligent workload scheduling for maximum productive output.
Pre-production rack and cluster validation in hours, not weeks.
Autonomous failure prevention, self-healing, and incident knowledge.
NVIDIA, AMD, and ASIC accelerators under one control plane.
Intelligent inference and post-training scheduling with sub-second response.
Tokens-per-second baselines and prescriptive remediation for every rack.
Fully on-premise and air-gapped—nothing leaves your facility.
Automatic remediation the moment issues are detected, with human-in-the-loop control.
An incident knowledge base that compounds every root cause your fleet has seen.
Built on NVIDIA KAI Scheduler for inference and post-training workloads.
Built for teams who run AI infrastructure at scale.
XPerf spans validation, operations, and scheduling. Here is what teams gain:
10×
faster rack and cluster validation.
[Explore the Platform]100×–1000×
operations efficiency gain from autonomous self-healing.
[Explore the Platform]50%–100%+
potential revenue boost from intelligent scheduling.
[Explore the Platform]
Where XPerf Strengthens Every Layer of the Stack.
Validate faster, prevent downtime, and get more from every GPU and ASIC—one platform for the full infrastructure lifecycle.
Trusted infrastructure for every team.
Whether you validate, operate, or schedule, XPerf connects every team to the same infrastructure intelligence.
Infrastructure & Platform
[See More]
ML & AI Teams
[See More]
Data Center Operations
[See More]
The XPerf platform validates racks before deployment, prevents failures in production, and schedules workloads intelligently—so every GPU and ASIC delivers more tokens per second across the full infrastructure lifecycle.
Take Control of Your Data Center
See how XPerf can help your team validate faster, prevent downtime, and get more from every GPU and ASIC.
