io.net today unveiled its new Training as a Service (TaaS) offering, designed to streamline the development and deployment of large language models (LLMs) and AI agents. Built into the company’s io.intelligence toolkit, the TaaS platform supports any open‑weight model or dataset available on Hugging Face, allowing users—from startups to enterprise teams—to manage complex training workflows entirely within a single interface.
Addressing Fragmentation in AI Training
According to recent industry surveys, 99% of developers are exploring or building AI agents, but they often confront a patchwork of incompatible tools. io.net’s TaaS eliminates this fragmentation by adopting a “bring‑your‑own‑model” approach and consolidating multiple training paradigms—supervised, reinforcement, preference‑based, and unsupervised learning—into one environment.
Once a training job is configured, users gain full visibility into progress via interactive loss charts, checkpoint snapshots, and detailed logs. On completion, models and agents can be deployed to production with a single click, automatically hosted on Hugging Face or exported to IO Cloud, other cloud providers, or local infrastructure.
“The launch of our Training as a Service tool brings new functionality to engineers, enabling complete customization over LLM training workflows within a single intuitive interface,” said Gaurav Sharma, CEO of io.net. “io.intelligence is the complete stack for developing models and agents; enabling users to train, deploy and share them within a unified platform.”
Advanced Features for Researchers and Teams
TaaS integrates modular optimization libraries that reduce memory usage, accelerate training, and refine agent fine‑tuning. Multi‑method experimentation tracking centralizes all trials, making model comparison and team collaboration more efficient.
Upcoming enhancements include granular control over hyperparameters (learning rate, batch size, gradient accumulation) and automatic checkpointing, which will record incremental training progress for reproducibility and easy resumption.
Supporting AI Innovation with Decentralized Compute
Built atop the world’s largest decentralized, high‑performance compute network, io.net recently partnered with the IOG Foundation to launch a grant program. This initiative allocates 20 million $IO tokens to provide free compute access for promising startups, researchers, and developers, further lowering barriers to AI experimentation.
To explore io.net’s new Training as a Service offering, click here.
