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Federator.ai Cortex The AIOps Full-Stack Solution for Next-Generation GPU Data Centers

Federator.ai Smart Liquid Cooling Predictive Workload-Aware Liquid Cooling and Fault Detection for High-Density GPU Data Centers

Federator.ai Compute Resource Optimization with AI-Driven Predictive and Prescriptive Analytics for Cloud and On-Prem Operations

Federator.ai GPU Booster GPU Performance Maximization with AI-Enhanced Dynamic Allocation for LLMs

Federator.ai GPU Booster Inference Autonomous Optimization for Large-Scale LLM Inference with Zero OOM Events, Higher Throughput, and Lower Latency

Innovative Technologies

AI Factory: Sensory System Patented Multi-Layer Correlation for Full-Stack Infrastructure Intelligence

AI Factory: GPU Orchestrator Patented Spatial-Temporal GPU Optimization for Compute Efficiency

AI Factory: Scaling Engine Patented Predictive Self-Driving Autoscaling for Cost Efficiency

CrystalClear Time Series Analysis Engine

DataProphet Recommendation Engine
Solutions
GPU Operations

Future-Proof AI Data Centers for AGI

AI/ML Throughput Enhancement

GPU Utilization Optimization

Quick Adoption in AI Ecosystem

ESG-Aligned Smart Cooling for AI Data Centers

Resilient Cooling with Early Fault Detection

AI Factories

Federator.ai SLC + Phaidra Two complementary approaches to AI-driven liquid cooling for GPU data centers

IT/Cloud Operations

Cost Management and Cloud Migration

Performance Optimization

Application Acceleration

Green IT for Carbon Reduction

Optimal Portfolio of Cloud Instances

Cyber Security Application

Infrastructure Optimization
GPU Operations

Kubernetes Optimize resource allocation from clusters to applications on self-hosted and managed Kubernetes

DGX Cloud Lepton Combine global GPU compute with full-stack AI infrastructure optimization

IT/Cloud Operations

Kubernetes Optimize resource allocation from clusters to applications on self-hosted and managed Kubernetes

Virtual Machine Optimize resource allocation from clusters to VMs, comprising Amazon EC2, Azure Virtual Machine, Google Compute Engine, and VMware vSphere
Integrations
GPU Support

Overview Use APIs to collect metadata and operational metrics from monitoring services to optimize GPU operations for AI/ML training

Metric Data Sources

Prometheus

AI/ML Ecosystem

Federator.ai Stack

IT/Cloud Integrations

Overview Use APIs to gather metadata and operational metrics from monitoring services to optimize IT and cloud resource configurations

Applications

Kafka

NGINX

Metric Data Sources

Datadog

Sysdig

Prometheus

Amazon CloudWatch

Microsoft Azure Monitor

Google Cloud’s operations suite

VMware vCenter
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Datadog

Sysdig

Red Hat

AWS

SUSE/ Rancher

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ProphetStor and TOMORROW NET Forge Alliance to Boost AI Development and Deployment in Japan and Korea
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Highlight Article
Predictive Workload-Aware Liquid Cooling for High-Density AGI GPU Data Centers: Unlocking 30 Percent Energy Savings and 45 Percent Compute Acceleration
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Federator.ai Stack optimizes the Time-to-Online
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Request Download: Key Insight: “100% GPU Util” ≠ “100% Heat”

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Products

Federator.ai Cortex^™
Federator.ai GPU Booster^™
Federator.ai GPU Booster Inference^™
Federator.ai Smart Liquid Cooling^™
Federator.ai^®

Federator.ai Cortex^™
Federator.ai GPU Booster^™
Federator.ai GPU Booster Inference^™
Federator.ai Smart Liquid Cooling^™
Federator.ai^®

Support

Documentation
Datasheet
Setup Videos
FAQ
Contact Technical Support

Documentation
Datasheet
Setup Videos
FAQ
Contact Technical Support

Solutions

GPU: Future-Proof AI Data Centers
GPU: AI Throughput Enhancement
GPU: Utilization Optimization
GPU: Quick Adoption in AI Ecosystem
GPU: ESG-Aligned Smart Cooling
GPU: Early Fault Detection
IT/Cloud: Cost Savings & Migration
IT/Cloud: Performance Optimization
IT/Cloud: Application Acceleration
IT/Cloud: Green IT for Carbon Issues
IT/Cloud: Optimal Cloud Instances
IT/Cloud: Cyber Security Application
GPU Optimization on K8s
GPU Optimization on DGX Cloud
Cloud Optimization on K8s
Resource Optimization on VMs

GPU: Future-Proof AI Data Centers
GPU: AI Throughput Enhancement
GPU: Utilization Optimization
GPU: Quick Adoption in AI Ecosystem
GPU: ESG-Aligned Smart Cooling
GPU: Early Fault Detection
IT/Cloud: Cost Savings & Migration
IT/Cloud: Performance Optimization
IT/Cloud: Application Acceleration
IT/Cloud: Green IT for Carbon Issues
IT/Cloud: Optimal Cloud Instances
IT/Cloud: Cyber Security Application
GPU Optimization on K8s
GPU Optimization on DGX Cloud
Cloud Optimization on K8s
Resource Optimization on VMs

Integrations

GPU Support Overview
GPU: Prometheus (K8s)
GPU: Federator.ai Stack (Ecosystem)
IT/Cloud Integration Overview
IT/Cloud: Datadog (K8s)
IT/Cloud: Sysdig (K8s)
IT/Cloud: Prometheus (K8s)
IT/Cloud: Amazon CloudWatch (VM)
IT/Cloud: Azure Monitor (VM)
IT/Cloud: Google Cloud (VM)
IT/Cloud: VMware vCenter (VM)
IT/Cloud: Kafka (Applications)
IT/Cloud: NGINX (Applications)

GPU Support Overview
GPU: Prometheus (K8s)
GPU: Federator.ai Stack (Ecosystem)
IT/Cloud Integration Overview
IT/Cloud: Datadog (K8s)
IT/Cloud: Sysdig (K8s)
IT/Cloud: Prometheus (K8s)
IT/Cloud: Amazon CloudWatch (VM)
IT/Cloud: Azure Monitor (VM)
IT/Cloud: Google Cloud (VM)
IT/Cloud: VMware vCenter (VM)
IT/Cloud: Kafka (Applications)
IT/Cloud: NGINX (Applications)

Resources

Case Studies
Blog
Whitepapers
Intro/ Demo Videos
Seminar/ Webinar
Infographics

Case Studies
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Contact Us

About Us
Press Releases
Legal
Contact Us

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Federator.ai GPU Booster ^®

Maximizing GPU utilization for AI workloads and doubling your server’s training capacity

Federator.ai ^®

Simplifying complexity and continuously optimizing cloud costs and performance