HPCX – High-Performance Computing Optimizer

The Hidden Cost of HPC Inefficiency

High-performance computing powers groundbreaking research, from climate modeling to drug discovery. But inefficiency is silently draining budgets and slowing progress.

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Energy Waste

Data centers consume 1-2% of global electricity. Poorly optimized HPC clusters waste up to 40% of that energy on thermal management and idle resources.

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Queue Bottlenecks

Researchers wait days or weeks for jobs to run while nodes sit underutilized. Poor scheduling turns million-dollar clusters into expensive waiting rooms.

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Budget Overruns

Universities and enterprises overspend on compute capacity they don't fully use. Without visibility, it's impossible to right-size infrastructure.

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Thermal Throttling

Unbalanced workloads create hotspots that trigger thermal throttling, slowing jobs and accelerating hardware degradation.

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Blind Operations

Most HPC admins lack real-time visibility into job performance, resource utilization, and emerging bottlenecks until it's too late.

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Carbon Footprint

Inefficient computing contributes significantly to data center emissions. As climate pressure mounts, sustainable HPC is no longer optional.

Why I Built HPCX

I've seen world-class research stall because jobs sat in queue for days. I've watched organizations spend millions on hardware that runs at 60% capacity. I've seen the frustration of HPC administrators firefighting bottlenecks they couldn't predict.

High-performance computing should be about speed, efficiency, and enabling breakthrough discoveries, not wrestling with job schedulers and guessing at resource allocation. Yet most HPC environments operate blind, reacting to problems instead of preventing them.

I built HPCX to change that. By combining real-time monitoring, AI-powered predictions, and intelligent automation, HPCX transforms how organizations manage compute resources. It's not just about making clusters faster — it's about making them smarter, greener, and more cost-effective.

Whether you're a university research lab, a government agency, or an enterprise running massive simulations, HPCX gives you the visibility and control to maximize every CPU cycle, every GPU hour, and every dollar of your compute budget.

"The future of high-performance computing isn't just faster hardware, it's intelligent software that ensures no compute cycle is ever wasted."

— Jubril Akanbi, Creator of HPCX

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Maximize Utilization

Push cluster utilization from 60% to 90%+ with intelligent scheduling

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Reduce Queue Times

Cut job wait times by 50% with smart prioritization and rerouting

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Go Green

Reduce energy consumption by 25% with eco-friendly scheduling

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Predict Problems

AI forecasts bottlenecks before they impact your workloads

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Cut Costs

Reduce compute spending by identifying waste and optimizing allocation

Who Uses HPCX?

Built for organizations that run serious compute workloads

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Government Agencies

Defense simulations, weather modeling, and national research computing infrastructure.

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Universities

Research computing clusters supporting genomics, physics, and AI research.

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Research Institutes

Drug discovery, climate modeling, and materials science simulations.

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Enterprises

Financial modeling, engineering simulations, and large-scale data processing.

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Cloud Providers

HPC-as-a-service platforms optimizing multi-tenant compute resources.

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AI/ML Teams

GPU clusters for training large models and running inference at scale.

Comprehensive HPC Optimization

Everything you need to monitor, optimize, and manage high-performance compute infrastructure.

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Real-Time Metrics

Live tracking of CPU, GPU, RAM, power consumption, and job queues with historical analysis.

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Job Analytics

Deep profiling of job performance, delays, resource usage, and execution patterns.

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AI Forecasting

Predict bottlenecks, energy spikes, and queue buildup before they impact operations.

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Smart Rescheduling

Automatically reprioritize and shift jobs to eliminate delays and balance loads.

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Job Rerouting

Dynamically route jobs to less congested nodes or clusters for faster execution.

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Green Mode

Eco-friendly scheduling that reduces energy consumption during peak load periods.

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Health Score

Quantitative system health rating updated continuously with actionable insights.

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Optimization Snapshots

Capture before/after states to measure impact and track improvements over time.

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Security Alerts

Detect compliance violations, anomalies, and suspicious activity in real-time.

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SIEM Integration

Send logs and alerts to your existing SIEM for unified monitoring and compliance.

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SLURM & Kubernetes

Native integration with SLURM, Kubernetes, PBS, and other job schedulers.

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Smart Suggestions

AI-powered recommendations tailored to your specific infrastructure and workloads.

Simple, Scalable Pricing

Choose the plan that fits your compute environment. All prices in Canadian Dollars (CAD).

Basic

$499/mo

CAD

Up to 1,000 jobs/day
Full dashboard access
Real-time metrics
Fix suggestions only
Email support

Get Started

Standard

$1,999/mo

CAD

Everything in Basic
Up to 20,000 jobs/day
Full fix capabilities
AI forecasting
Job rescheduling & rerouting
Green Mode
Priority support