KEY TAKEAWAYS
- Chromia is set to launch the Mimir Upgrade on March 25th, enhancing its capabilities in decentralized infrastructure and AI.
- The upgrade introduces a vector database extension, allowing decentralized storage of vectorized data directly on the blockchain.
- AI Inference Extension will enable open-source AI models to run on Chromia nodes, reducing reliance on centralized cloud services.
- This development positions Chromia as a leader in decentralizing AI backend infrastructure, attracting interest from partners.
Chromia is gearing up for the Mimir Upgrade, scheduled to roll out on March 25th. This upgrade is set to introduce significant developments, further positioning Chromia as an innovator at the intersection of decentralized infrastructure and artificial intelligence.
Vector Database Extension
Language-based AI applications, such as ChatGPT, have seen a surge in popularity. However, the role of vector databases in their advancement often goes unnoticed. These databases store and retrieve vector embeddings, which are numerical representations of data that enable functions like similarity search, long-term memory, and contextual text retrieval.
Traditionally, hosting a vector database requires a cloud server. As the Web3 AI space rapidly grows, there is a strong emphasis on decentralization and transparency. The Mimir Upgrade will introduce the ability to store vectorized data using Chromia’s underlying relational architecture. This makes Chromia one of the few projects addressing the need for decentralized vector data.
Chromia’s relational architecture allows these embeddings to be stored directly on the blockchain without relying on secondary layers. These capabilities can be utilized by native Chromia dapps and AI projects on other blockchains seeking to decentralize their backend infrastructure. Interest from both new and existing partners is already evident, with optimism about the opportunities this development will unlock.
AI Inference Extension
Inference, the process of running AI models to generate predictions or responses based on input data, is another focus of the Mimir Upgrade. For instance, when using ChatGPT, the model processes input during the inference step to generate a response.
The AI Inference Extension will enable open-source AI models like DeepSeek, smolLM, and Llama to run on Chromia network provider nodes instead of centralized cloud services like AWS. This reduces reliance on traditional cloud infrastructure. Input can be provided through a blockchain transaction, processed by one or more nodes, and returned in another blockchain transaction.
The initial deployment will consist of one or two models on a dedicated cluster of nodes, with gradual expansion based on performance and demand. This feature aims to pave the way for a fully decentralized processing chain, an essential step toward unlocking the full potential of on-chain AI.
The Mimir Upgrade is announced here.
Why This Matters: Impact, Industry Trends & Expert Insights
Chromia’s upcoming Mimir Upgrade aims to enhance its decentralized AI infrastructure, focusing on vector database and AI inference extensions, which could significantly impact the Web3 AI landscape.
Recent industry reports indicate that decentralized AI infrastructure is gaining traction as it addresses data privacy and monopolization issues. This aligns with Chromia’s efforts to decentralize vector data and AI processes, potentially enhancing transparency and security in AI applications.
A Binance Research report highlights that decentralized AI developments offer a more transparent and secure alternative to centralized systems. This supports Chromia’s initiative to reduce reliance on traditional cloud infrastructure, potentially leading to more equitable AI development and deployment.
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