// Partner
ProphetStor
Founded
2012
HQ
San Jose, CA / Taipei
Employees
50+
Total Funding
$10M
Status
Private
Website
VisitLeadership
Eric Chen (CEO)
Last Round
N/A
Key Investors
// Overview
ProphetStor's Federator.ai platform uses machine learning to predict and optimize infrastructure resource utilization across Kubernetes, VMs, and GPU clusters. Federator.ai Cortex extends this into full stack AIOps for next generation GPU data centers, GPU Booster optimizes LLM training and inference toward zero out of memory events, and Smart Liquid Cooling manages high density power and cooling. ProphetStor partners with NVIDIA DGX Cloud Lepton and holds U.S. patents for predictive autoscaling and GPU optimization.
// Capabilities
- --Predictive AIOps
- --Multilayer Causal Analysis
- --Resource Optimization
- --Infrastructure Intelligence
- --GPU Utilization Optimization
- --Kubernetes Autoscaling
// Products
Federator.ai
AI powered Kubernetes and VM resource optimization with predictive autoscaling and cost management.
Federator.ai Cortex
Full stack AIOps for next generation GPU data centers, from workload prediction to power and cooling.
Federator.ai GPU Booster
GPU optimization for LLM training and inference, with GPU Booster Inference targeting zero out of memory events.
Federator.ai Smart Liquid Cooling
Predictive liquid cooling for high density GPU data centers, with measured energy savings and compute acceleration.
// Use Cases
Click a use case to see matching deployments below
// Customers
// Target Buyers
Who ProphetStor sells to
ProphetStor fits the buyer segments below. StrategyCore provides the local technical support, Japanese-language engagement, and commercial operations for both end-user customers and channel partners.
Large Enterprise
primaryEnterprises running production Kubernetes and AI workloads who need to reduce cloud spend, prevent resource contention, and optimize GPU clusters for LLM training and inference.
SaaS Companies
secondarySaaS platforms running large Kubernetes footprints where predictive autoscaling and GPU optimization deliver material cost savings.
SMEs / Mid market
not a focusMid-market Kubernetes workloads typically lack the scale where predictive optimization delivers enough ROI to justify deployment. ProphetStor's value scales with footprint.
Government & Public Sector
primaryNational research institutes, universities, and government AI initiatives running large GPU clusters where resource optimization and power efficiency directly impact research throughput.
System Integrators
primaryData center and cloud integration partners building AI infrastructure for Japanese enterprises who need proven resource optimization and predictive scaling capabilities.
OEMs (Embedded)
not a focusProphetStor is not typically embedded inside other vendor products. It is deployed as a management layer on top of customer infrastructure.
MSSPs
primaryManaged cloud and AI infrastructure service providers offering optimized Kubernetes and GPU hosting to their customers, using ProphetStor as the intelligence layer underneath.
Distribution Partners
secondaryJapanese infrastructure distributors carrying ProphetStor as part of their AI and cloud optimization portfolio.
// Case Studies
Case Studies
Case study content is aggregated from publicly available vendor sources. All trademarks and customer attributions belong to the original vendors.
// Competitive Landscape
How ProphetStor compares
ProphetStor operates in the AIOps and predictive infrastructure optimization category. Decisions in this space typically separate reactive observability tools (which alert on problems) from predictive optimization platforms (which forecast and prevent them). ProphetStor is positioned in the predictive category, with specific expertise in GPU workload optimization for AI infrastructure.
| Capability | ProphetStor | Densify | CAST AI | Datadog | Dynatrace | Kubecost |
|---|---|---|---|---|---|---|
| ML-driven predictive optimization | ● | ● | ● | ○ | ● | — |
| LLM inference optimization with zero out-of-memory targeting (GPU Booster) | ● | — | — | — | — | — |
| GPU workload optimization | ● | ○ | ● | ○ | ○ | ○ |
| Kubernetes data platform optimization | ● | ● | ● | ● | ● | ● |
| Kubernetes autoscaling automation | ● | ● | ● | — | — | ○ |
| Multi-layer causal analysis | ● | ○ | — | ● | ● | — |
| Data center power and cooling intelligence | ● | — | — | — | — | — |
| Multi-cloud and hybrid support | ● | ● | ● | ● | ● | ● |
// Competitor Reference
Densify
Cloud cost optimizationMachine learning cloud resource right-sizing.
CAST AI
Kubernetes cost optimizationAutomated Kubernetes cost and performance management.
Datadog
ObservabilityMonitoring, logging, and observability platform.
Dynatrace
APM and AIOpsApplication performance monitoring with AI-assisted root cause analysis.
Kubecost
Kubernetes cost visibilityOpen source Kubernetes cost allocation and monitoring.
Spot by NetApp
Cloud cost optimizationContinuous cloud infrastructure optimization with automated scaling.
Comparisons reflect category positioning based on publicly available information. Vendor capabilities evolve; contact us for current detail. All trademarks belong to their respective owners.
// Benchmarks
ProphetStor by the numbers
GPU Efficiency
2x improvement
GPU utilization doubled with 48% faster job completion
Federator.ai GPU BoosterCooling Energy
30% savings
Smart liquid cooling with 45% GPU performance boost
ProphetStor// Sovereign in Japan
AIOps that runs on the customer's own cluster.
ProphetStor's AIOps runs inside the customer's own environment, learning from their telemetry without ever sending it out.
Sovereign data, sovereign AI, sovereign security.
See the sovereignty approachSelf-hosted AIOps, trained on the customer's telemetry in place.
GPU and capacity optimization without exporting operational data.
Runs in validated on-premise and private cloud environments.
// Latest Videos
// Recent News
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