Sold by: CrewdleÂ
Deployed on AWS
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Crewdle AI Studio is a secure, user-friendly platform designed to build, deploy, and manage AI models within your organization's infrastructure. It enables businesses to create multi-agent workflows, customize agents with specific skills, and integrate seamlessly with external systems, all while keeping sensitive data private and on-premises.
Overview
This is the container for a mistlet running on Linux AMD64 with 1 GPU and up to 16GB of VRAM.
When setting up this container, you will need to retrieve some IDs and keys from your Crewdle AI Studio account. More details can be found in the usage instructions of the version. Deployment templates can also be found in the version. Finally, you can watch the short Setup Overview video that can be found in the support section on this page.
Crewdle AI Studio is an advanced cloud-based platform that redefines how organizations build, deploy, and manage AI models. Designed to provide flexibility, security, and ease of use, Crewdle AI Studio enables businesses to harness the power of AI without compromising on control over their data. By deploying on the cloud, Crewdle AI Studio offers scalable and accessible AI development that adapts to your organization's needs, empowering you to create intelligent workflows quickly and securely.
Crewdle AI Studio seamlessly integrates with leading AI models, including Llama 3.1 and other cutting-edge generative AI technologies. This flexibility allows you to leverage the best models for your needs, enhancing your AI capabilities with minimal configuration.
Crewdle AI Studio allows your AI agents to interact with external systems, bringing advanced automation and intelligence to your cloud infrastructure. This capability enables smooth integration into your existing workflows and tech stack, enhancing productivity and operational efficiency.
Highlights
- Cloud-Native AI Development: Crewdle AI Studio's cloud-native architecture allows you to build and deploy AI models with the full power of cloud scalability and performance.
- Multi-Agent Workflows with Skill Customization: The platform supports sophisticated multi-agent workflows, enabling various AI agents to work together.
- Intuitive AI Editor: Crewdle AI Studio features a powerful yet user-friendly AI editor, designed to simplify the AI development process.
Details
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Delivery method
Supported services
Delivery option
Crewdle Mistlet Linux AMD64 1.0.7
Latest version
Operating system
Linux
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
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Pricing
Free trial
Try this product free for 14 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit/hour |
|---|---|---|
Hours | Container Hours | $0.16 |
Vendor refund policy
Refunds for our container product on the AWS Marketplace are not provided due to the hourly billing nature of the service. Charges are based on actual usage, and we encourage customers to monitor their usage closely through the AWS billing dashboard. If you experience technical issues that impact your service, please contact our support team immediately for assistance. In exceptional cases, refunds may be considered at our discretion based on documented service disruptions.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Crewdle Mistlet Linux AMD64 1.0.7
Supported services: Learn moreÂ
- Amazon ECS
- Amazon EKS
- Amazon ECS Anywhere
- Amazon EKS Anywhere
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Initial Release
Additional details
Usage instructions
A Crewdle AI Studio account is required to setup the Crewdle Mistlet.
Use the provided deployment templates as a starting point.
In the deployment task definition, you will need to input the following variables: CREWDLE_VENDOR_ID CREWDLE_ACCESS_TOKEN CREWDLE_SECRET_KEY CREWDLE_GROUP_ID
You can retrieve the values for these variables in the Crewdle AI Studio. The values for the first 3 variables can be found in manage your account. The value for the last variable will be found in the configure tab of your Mistlet.
Resources
Vendor resources
Support
Vendor support
Contact support at support@crewdle.comÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Crewdle AI Studio
By Crewdle
Crewdle AI Studio is a secure, user-friendly platform designed to build, deploy, and manage AI models within your organization's infrastructure. It enables businesses to create multi-agent workflows, customize agents with specific skills, and integrate seamlessly with external systems, all while keeping sensitive data private and on-premises.
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