Solving the Problem of Infobesity

Gary A. Fowler
3 min readJan 18, 2024


How GPU Platforms Address the $340 Billion Revenue Per Year Compute Shortage Crisis and Democratize Opportunities

In today’s data-driven world, we are confronted with the dual challenge of ‘infobesity’ — the overwhelming flood of information generated daily — and a critical compute shortage crisis, threatening an estimated $340 billion in annual revenue. Remarkably, the solution lies in the evolving capabilities of GPU (Graphics Processing Unit) platforms, which not only tackle these challenges head-on but also democratize opportunities across various sectors.

Understanding the Double-Edged Sword of Data Overload and Compute Scarcity

The phenomenon of infobesity reflects the exponential growth in data generation, with current estimates exceeding 2.5 quintillion bytes per day. This deluge of data poses significant challenges in storage, management, and analysis. Compounding this issue is the compute shortage crisis, where conventional CPU-based systems are increasingly inadequate for processing vast and complex datasets. The result is a bottleneck that stifles innovation and economic growth.

The Revolutionary Role of GPUs in Computing

GPUs, initially developed for enhancing video game graphics, have emerged as powerhouses for parallel processing. Their ability to handle multiple tasks simultaneously makes them ideal for large-scale data operations. This capability is crucial in addressing the twin challenges of infobesity and compute shortages, offering a more efficient alternative to traditional CPU-based processing.

Accelerating Data Processing and Democratizing Opportunity

GPUs are not just solving processing challenges; they are leveling the playing field. By enabling faster and more efficient data analysis, they democratize opportunities in various fields. Sectors such as healthcare, finance, and environmental science, which rely heavily on real-time data processing, stand to benefit immensely. For example, in healthcare, GPU-accelerated analytics can process extensive medical data rapidly, leading to more timely and accurate diagnoses and treatments, thus making advanced healthcare accessible to more people.

The Economic Impact: Unlocking a $340 Billion Opportunity

The compute shortage crisis represents a vast economic challenge, with a staggering $340 billion in potential annual revenue at stake. GPUs offer a solution that not only mitigates this crisis but also fosters economic growth. By enhancing data processing capabilities, they enable businesses to tap into new markets and revenue streams, particularly in AI, automotive, and entertainment industries. This technological shift not only addresses immediate data processing needs but also fuels future innovation and economic expansion.

The Future of GPUs in Data Management and Opportunity Expansion

As we progress further into the realms of AI and the Internet of Things (IoT), the demand for efficient data processing will continue to soar. GPUs are set to play a pivotal role in this landscape, offering scalable and robust solutions to data management challenges. More importantly, they are key to democratizing access to technology and opportunity. As GPUs become more integrated into various industries, they will continue to break down barriers, allowing a wider range of individuals and businesses to harness the power of big data.

In summary, the challenges of infobesity and the compute shortage crisis are formidable, but the rise of GPU platforms offers a beacon of hope. These technologies are not only tackling the immediate issues of data management but are also democratizing opportunities, enabling broader participation in the next wave of technological advancement. As we embrace GPU technology, we pave the way for a more inclusive and innovative future, driven by data and powered by unparalleled processing capabilities.

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Gary A. Fowler

Founder & CEO of GSDVS, Generative AI Guy, Speaker, Author, Investor and Venture Scaler