io.net: Solving AI’s Compute Bottleneck

io.net
3 min readFeb 5, 2025

Artificial intelligence (AI) capabilities are transforming the way business is done across the globe. Research and execution times are being shredded from hours down to minutes — in some cases, seconds. The scale, reach, and impact of industries that are and will be transformed by AI is not yet certain. How many businesses will be changed forever? Ninety-five percent? Ninety-nine?

As companies of all sizes recognize the myriad ways AI can unlock new levels of efficiency, innovation, and engagement, the surge for AI integration is sweeping, from resource-constrained startups to large enterprises looking to optimize their operations. This spike in demand for AI tooling is bottlenecked in the limit, in most cases by the cost of compute — the GPU networks that run training and inference, two critical operations AI models use to accelerate and generate value.

That’s why enterprises and startups are in a no-holds-bar hunt for the most cost-effective AI compute providers on the market. The decentralized cloud compute io.net provides, has quickly become a leading choice for large organizations and scrappy projects that need an on-demand GPU network that won’t cannibalize their budget.

io.net’s Decentralised Cloud Is Built Different

io.net’s decentralized GPU cloud network aggregates compute from data centers, miners, and individual users in over 130 countries. Unlike traditional cloud providers that rely on centralized data centers, io.net leverages a distributed network of GPUs and is the only provider offering access to H100s in under 2 minutes, creating a more resilient, flexible, and cost-effective infrastructure for AI workloads.

Our approach not only drastically reduces costs but democratizes access to high-performance computing, giving access to a broader range of researchers and organizations to explore and implement AI-driven upgrades.

Why Choose io.net?

io.net offers a suite of features and benefits that make it an ideal solution for enterprises and startups seeking to integrate AI into their operations.

io.net’s cost for compute is 90% less per TFLOP than traditional cloud providers. By aggregating underused GPUs enterprises and startups partnering with us can get the most from their AI budgets.

io.net lets projects scale their compute power on demand, adapting to the dynamic needs and fluctuations of AI workloads. You can book a cluster for specific time periods, optimizing resource utilization and minimizing costs.

io.net also supports a wide range of NVIDIA GPUs, including 4090s, A100s, and H100s, as well as CPUs from Apple and AMD, offering flexibility and choice to cater to diverse sets of hardware requirements for companies big and small. Choose the optimal hardware for specific AI workloads, from training complex models to running inference at scale.

Built on the Solana blockchain, io.net brings all the benefits of blockchain technology to secure transactions and handle data transparently. io.net also utilizes a unique Proof of Time-Lock concept, which guarantees that the GPUs rented are not accessed by any other services during the rental period. Combined with SOC 2 compliance, this ensures dedicated resources, optimal performance, and robust data security for AI workloads.

On-Demand Compute for AI

With the global GPU market valued at $39.52 billion in 2023 and over 50% of organizations forced to seek alternatives as shortages drive prices 10–15% above MSRP, many startups and enterprises are dealing with delays integrating AI that could end up setting them back years.

The combination of io.net’s cost-effectiveness, scalability, and security are making it a leading choice for enterprises and startups looking to build out their tech-stack with AI. As AI continues to evolve and reshape most industries across the globe, io.net is committed to supplying the decentralized cloud compute necessary to bring accessible and efficient AI to the world.

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io.net
io.net

Written by io.net

io.net is a decentralized computing network that aggregates GPUs from various sources, creating a decentralized physical infrastructure network.

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