GPU Labs | AI compute infrastructure

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Company History

Discover the history of the company and learn about its development milestones

2020

In 2020, the company initiated its transition into high-performance computing infrastructure, focusing on internal R&D, workload testing, and infrastructure design, laying the groundwork for scalable GPU and CPU cluster deployment.

James Robert Whitmore
CEO

This period was dedicated to building operational expertise, evaluating hardware architectures, and establishing a long-term infrastructure strategy, setting the stage for future developments in AI.

2021

Throughout 2021, the company expanded its compute capabilities through pilot GPU deployments, validating performance, reliability, and cost efficiency across real-world computational workloads in 2021.

Lachlan Reid
CTO

Operational frameworks, monitoring systems, and risk controls were introduced to support continuous cluster utilization in professional data center environments, marking a significant step forward.

2022

By 2022, GPU infrastructure moved into active commercial operation, supporting external AI workloads and transitioning from experimental to revenue-generating operations.

Nate Sutton
Research&Development

This phase marked the transition from experimental infrastructure to stable, revenue-generating compute operations, supported by long-term utilization planning.

2023

In 2023, the company expanded its infrastructure footprint across multiple regions, improving redundancy, availability, and global coverage.

Zoe Campbell
CFO

Enterprise-grade operational standards were introduced, including enhanced performance monitoring, allocation management, and infrastructure transparency, enabling consistent service delivery at scale.

2024

In 2024, the company optimized its infrastructure model and introduced a fully automated, crypto-native operational framework, marking a shift towards greater efficiency and global accessibility.

James Robert Whitmore
CEO

We created a platform that provides transparency, efficiency, and global accessibility without reliance on traditional banking systems, revolutionizing the way AI operations are structured.

2025

In 2025, the company opened structured access to its GPU infrastructure, allowing private and institutional participants to invest in compute clusters.

Zoe Campbell
CFO

By opening the door to investment in 2025, we marked the beginning of a new chapter. This decision affirmed our strategic direction and created a foundation for future opportunities — not just for us, but for a global community ready to innovate alongside us.

2026

In 2026, the company is focusing on expanding next-generation GPU deployments optimized for advanced AI training and large-scale inference workloads, with continued optimization of automated infrastructure management and global capacity planning.

Nate Sutton
Research&Development

We are preparing for the next phase of growth, focused on meeting the increasing global demand for AI innovation.

Power

10,000 TFLOPs

Power

50,000 TFLOPs

Power

200,000 TFLOPs

Power

400,000 TFLOPs

Our mission

At the core of our work is a commitment to accelerating progress in artificial intelligence by expanding global access to high-performance computing resources. We believe AI has the potential to fundamentally reshape industries and improve quality of life worldwide—from healthcare and education to scientific research and beyond.
Our mission is to empower developers, scientists, and innovators with the infrastructure and tools required to explore, build, and scale the next generation of AI solutions. By fostering an environment of accessibility and technological excellence, we aim to support sustainable innovation across the entire AI ecosystem.

Our company is officially registered in Australia. Since inception, our objective has been not only to lead in technological capability but also to maintain full compliance with international regulatory standards. The company has undergone formal registration under the number 142 582 054, confirming both our legal standing and our commitment to transparent, responsible business practices.

Registration Number: 142 582 054
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We recognize the importance of legal status, regulatory oversight, and certification—not only for our own operations, but for the confidence of our clients and partners. We uphold the highest standards of governance, operational integrity, and accountability to ensure we remain a trusted leader in AI and computing infrastructure. Our official certification underscores our dedication to reliability, openness, and continuous innovation in everything we do.

James Robert Whitmore

CEO

James Robert Whitmore is the founder and Chief Executive Officer of the company. With more than 15 years of leadership experience in IT, fintech, and advanced computational infrastructure, he has played a central role in transforming the landscape of AI-focused computing solutions.
Since 2020, he has concentrated on AI-driven initiatives, recognizing the accelerating global demand for scalable training environments. Under his leadership, the company has emerged as a key provider of high-performance computational resources for AI developers and enterprises worldwide.

Previous Experience: He has led multiple large-scale fintech and banking technology projects across Australia and international markets. His work includes spearheading AI integration programs in financial technology and data infrastructure, enabling organizations to adopt next-generation AI capabilities within their operations.