Launch HN: Release (YC W20) – Orchestrate AI Infrastructure and Applications
Release.ai, founded by Erik, Tommy, and David, offers a platform for orchestrating AI applications, providing free GPU cycles, prioritizing data security, and featuring a workflow engine with deployment templates.
Release.ai, founded by Erik, Tommy, and David, launched on Hacker News in 2020 after their tenure at TrueCar. Initially focused on simplifying staging environments, the team pivoted to address the growing need for orchestrating AI applications and infrastructure. The platform allows users to manage AI workloads efficiently, offering a sandbox account with limited free GPU cycles for experimentation. Users can access 5 free compute hours on an Amazon g5.2xlarge instance and 100 free managed environment hours monthly under a free plan. Release.ai emphasizes the importance of security and privacy, enabling users to keep their data and models within their cloud accounts. The platform integrates AI applications into existing software development workflows, featuring a workflow engine that automates complex tasks. It also simplifies the management of GPU resources across multiple clouds using Kubernetes. To facilitate the development of AI applications, Release.ai provides a library of over 20 templates for popular open-source frameworks, allowing for one-click deployment. The founders are eager for user feedback and encourage exploration of the platform.
- Release.ai focuses on orchestrating AI applications and infrastructure.
- Users can experiment with a sandbox account offering free GPU cycles.
- The platform prioritizes data security by keeping data within users' cloud accounts.
- It features a workflow engine for automating AI application tasks.
- Over 20 templates are available for easy deployment of AI frameworks.
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18 commentsI think because of this, a bunch of companies/tools have tried to hop in this space and promised the world, but often times people are best served by just hitting OpenAI/GPT directly, and jiggling the results until they get what they want. If you're not comfortable doing that, there are even companies that do that for you, so you can just focus on the prompt itself.
So that being said, help me understand why I should be adding this whole system/process to my workflow, versus just hitting OpenAI/Anthropic/Google directly?
The sandbox environment with free GPU hours is a cool way to try things out without a big commitment too. It's nice seeing a product that genuinely seems to address the practical challenges of AI deployment. Looking forward to seeing how the platform develops!
Am I on the right track?
Not trying to be negative, but I think there may be a 30 second pitch to be made to people like me that isn't made on your site.
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