How io.net is Solving the GPU Bottleneck and Slashing AI Compute Costs

In Brief

io.net is revolutionizing AI infrastructure by creating a decentralized GPU network that drastically reduces compute costs. According to Gaurav Sharma, CTO of io.net, AI companies currently spend over 50% of their funding on GPU rentals from centralized cloud providers. io.net offers a decentralized alternative, providing GPUs at a 70% discount compared to hyperscalers like AWS and Google Cloud. By aggregating idle GPU resources globally, io.net is ensuring accessibility, scalability, and affordability for AI developers.

Gaurav Sharma: Bridging the GPU Supply-Demand Gap

Gaurav Sharma, a seasoned tech leader with experience at Amazon, eBay, Booking Holdings, and Binance, is leading io.net’s mission to democratize AI compute power. With the rapid rise of AI applications, the demand for GPUs has outpaced supply by 2.5 times, making compute resources scarce and expensive. io.net is addressing this bottleneck by aggregating and decentralizing GPU resources, ensuring that AI startups and enterprises can access high-performance computing without excessive costs or long wait times.

The Growing Crisis in AI Compute

The AI revolution is accelerating, and companies that fail to integrate AI solutions risk falling behind. AI adoption is no longer optional, it’s a necessity. However, one major roadblock stands in the way: GPU availability.

• AI compute demand is growing at an annual rate of 33%.

• The GPU supply shortage is already 2.5x the current production capacity.

• AI startups burn more than 50% of their funding just on renting GPUs.

• Even with the money, securing GPUs from AWS or Google Cloud can take months.

How io.net is Fixing the GPU Shortage

io.net is tackling these challenges with a decentralized cloud computing approach that provides AI startups and researchers with affordable, on-demand GPU access.

1. Decentralized GPU Marketplace – By pooling underutilized GPUs from various sources, io.net creates a marketplace where AI developers can access compute power at 70% lower costs than traditional providers.

2. Seamless Integration – io.net enables users to leverage distributed GPUs through a user-friendly platform that supports multi-data center scaling.

3. Proof of Capacity Validation – A breakthrough technology ensures that listed GPUs are authentic, high-performance, and readily available, eliminating trust issues commonly found in decentralized infrastructure.

4. Token Incentives – io.net rewards GPU providers with up to 3x the market rate compared to traditional rentals, attracting more hardware contributors and ensuring a sustainable ecosystem.

Beyond Compute: Building a Full AI Ecosystem

io.net is creating a one-stop AI infrastructure by expanding into:

• Decentralized Storage – AI models require vast amounts of data. io.net is building a secure, incentivized data-sharing marketplace.

• AI Model Marketplace – Developers can share, monetize, and deploy pre-trained AI models without infrastructure limitations.

• Compute-Backed Venture Funding – io.net is investing in AI startups by providing access to GPU resources, lowering barriers for innovation.

Redefining the Future of AI Compute

With a rapidly growing network of GPUs, io.net is proving that decentralized infrastructure can outcompete centralized hyperscalers in cost, efficiency, and accessibility. By eliminating supply bottlenecks and offering an AI-native, decentralized alternative, io.net is reshaping how machine learning models are trained and deployed.

For AI companies looking to cut compute costs, io.net offers an immediate, scalable, and cost-effective solution to the GPU shortage. The future of AI compute is decentralized and io.net is leading the way.