Nosana Unveils Powerful Updates: Enhanced Web Service Exposure, Optimized CLI, and Advanced AI Benchmarking

Exposing Web Services with Your Job

Nosana has introduced an impressive new feature that allows users to expose a local port running in a container on a Nosana Node through a fast reverse proxy. This capability can be leveraged to deploy a Language Learning Model (LLM) on Nosana Nodes and expose it through an API endpoint or a website, providing greater flexibility and utility for developers and businesses alike.

Enhanced Nosana CLI for Job Posting and Retrieval

The Nosana CLI has undergone significant improvements to facilitate easier job posting and retrieval. These enhancements streamline the process for developers, making it more efficient to post jobs and retrieve results. This update reflects Nosana’s commitment to continuously improving the developer experience.

CUDA Check on Start-Up

Nosana has added a CUDA check on start-up, ensuring that nodes can actually run AI inferences. This addition is crucial for maintaining the reliability and performance of AI tasks, giving users confidence that their nodes are fully capable of handling the demands of AI workloads.

Benchmarking Jobs for GPU Performance

To further assist developers, Nosana has introduced benchmarking jobs to compare the speed of various GPUs running different LLMs. This feature enables users to make informed decisions about their hardware choices, optimizing performance for their specific needs.

Final Thoughts

These updates from Nosana demonstrate their ongoing dedication to enhancing the platform’s capabilities and user experience. By enabling web service exposure, refining the CLI, ensuring AI readiness with CUDA checks, and providing benchmarking tools, Nosana is empowering developers to achieve more with their technology.