About GIGAFLOPS

We turn complex infrastructure
into the realm of simplicity.

GIGAFLOPS was founded by HPC engineers with 10+ years of experience
and domain experts to solve real-world infrastructure challenges.

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GIGAFLOPS CEO

Technology holds true value
when it serves people.

GIGAFLOPS is not just a server supplier. We started to solve the complexity of infrastructure that research teams face every day. From GPU servers to networking and monitoring systems, we provide a unified environment.

Our vision is clear: to provide a stable and efficient technology environment so our customers can focus solely on research and development. With practical expertise and customer-centric services, GIGAFLOPS will be your trusted partner.

CEO, GIGAFLOPS

Mintae Kim

The Most Trusted
Technology Partner

We drive the advancement of science and technology in Korea through high-performance computing infrastructure.
We aim to be the most trusted technology partner that boosts R&D productivity.

How We Work

  • Excellence

    We deliver best-in-class solutions with proven technology and expertise.

  • Simplicity

    We believe that removing complexity
    is true innovation.

  • Partnership

    Our customers' success is our goal.

Technical Differentiation: A Journey of Problem Solving

We solve the real problems experienced in the field most effectively.

PROBLEM

Frequent Downtime & Performance Degradation

Frequent server errors and degraded performance disrupt research workflows.

[Solution] Real-time Monitoring System

24/7 AI-based real-time detection
prevents failures proactively.

PROBLEM

Complex Asset & Issue Management

Server locations are hard to identify and issue tracking is inefficient.

[Solution] 3D Model-based Asset/Issue Lookup

Visualize server rooms in 3D to check asset info and manage issues with a single click.

PROBLEM

Inefficient Resource Allocation

GPU resources are concentrated on a few users, causing waste.

[Solution] Advanced Resource Scheduling

Slurm-based fair resource distribution
maximizes GPU utilization.

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