Theta EdgeCloud - Developer Preview with CTO Jieyi Long
Theta Network・2 minutes read
The upcoming launch on May 1st will introduce the Edge Cloud platform dashboard with AI Services, Video Services, and Rendering and Gaming Services, offering features like model deployment, inference endpoints for image generation, custom templates, and project management tools. Users can create projects, adjust profile details, invite team members, set up passwords, manage quotas, and link payment accounts for AI applications on Zeta Edge Cloud launching on May 1st.
Insights
- The Edge Cloud platform dashboard launching on May 1st will offer AI Services with Model Explorer showcasing models like Cama, Control Net, and Gemma for code and image generation, large language models respectively, along with Model Deployment for selecting deployment parameters, and Inference Endpoint for image generation customization.
- Besides AI Services, Video Services on the Edge Cloud platform include video uploading, transcoding, NFT-based DRM options, and live stream services, empowering users to manage projects separately, create new projects, adjust settings, invite team members, assign roles, manage machine quotas, link payment accounts, and utilize coupons, with T payment support coming soon.
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Recent questions
What features are included in the Edge Cloud platform dashboard?
The Edge Cloud platform dashboard launching on May 1st will feature AI Services, Video Services, and Rendering and Gaming Services.
How can users deploy a C diffusion model in the AI Services section?
Users can deploy a C diffusion model by selecting a deployment ID, image, port, VM type (e.g., Nvidia T4), and the number of replicas, with cost estimates provided.
What tools are available for prototyping in the AI Services section?
The AI Services section offers prototyping tools like Jupyter notebooks, allowing data scientists and ML engineers to run experiments interactively within the Edge Cloud environment.
What options are available for video projects within the Video Services section?
The Video Services section includes features like video uploading, transcoding, enabling NFT-based DRM for video streams, support for various blockchain networks, and live stream services for starting streams and accessing project settings.
How can users manage projects and resources within the Edge Cloud platform?
Project management features enable the segregation of resources for different projects, ensuring separate environments for various teams to work on projects without interference. Users can create new projects, adjust profile details, invite colleagues, assign roles, manage quotas for machine types, link accounts to payment methods, and use coupons for credit balance.
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Summary
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Edge Cloud Launch: AI, Video, Gaming Services
- The upcoming launch on May 1st will introduce the Edge Cloud platform dashboard, featuring AI Services, Video Services, and Rendering and Gaming Services.
- Within the AI Services, the Model Explorer showcases various models like Cama for code generation, Control Net for image generation, and Gemma for large language models.
- Launching a C diffusion model involves selecting a deployment ID, image, port, VM type (e.g., Nvidia T4), and the number of replicas, with cost estimates provided.
- The Model Deployment tab displays the status, duration, and hardware details of the deployment, with the option to view replicas and their statuses.
- The Inference Endpoint allows users to input prompts for image generation, adjusting parameters like style and detail level, with the ability to generate images based on these inputs.
- Custom templates can be created from user-made containers, with options to input container image URLs, ports, and optional arguments for deployment.
- The AI Services also offer prototyping tools like Jupyter notebooks, allowing data scientists and ML engineers to run experiments interactively within the Edge Cloud environment.
- Video Services include features like video uploading, transcoding, and the option to enable NFT-based DRM for video streams, with support for various blockchain networks.
- Live stream services are available within the Video Services section, allowing users to start streams and access settings for their video projects.
- Project management features enable the segregation of resources for different projects, ensuring separate environments for various teams to work on projects without interference.
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Effortlessly create and manage projects with Zeta Edge
- To create a new project, simply click on "new project," input your name, and your project will be ready. In the settings menu, you can adjust your profile details like name and email, set up your password under security, and utilize the team feature to invite colleagues by clicking on the project tab, viewing project details, identifying team members through icons, inviting new members, assigning roles like admin or member, and managing quotas for machine types within your organization. Additionally, you can link your account to a stripe account for payment, use coupons for credit balance, and expect future support for payment with T, with these features set to launch on May 1st for AI applications on Zeta Edge Cloud.
