Sold by: OuterboundsÂ
Overview
Design and develop all data science and ML/AI applications easily with open-source Metaflow. Execute and deploy them on scalable, enterprise-grade infrastructure powered by Outerbounds.
Highlights
- Managed High Availability: Outerbounds encapsulates years of experience and hard-earned lessons in managing demanding, business-critical ML and data workloads.
- Efficient Compute: At the core of Outerbounds is a scalable, cost-optimized, fully managed Kubernetes cluster that is specifically tuned for data-intensive batch workloads, including demanding GPU needs of modern AI.
- Secure & SOC2 Compliant: Security is in our DNA, not at the perimeter. No data or code ever leaves your account.
Details
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Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Outerbounds Platform | Platform access, onboarding and standard support | $60,000.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law
Legal
Vendor terms and conditions
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
24 x 7 on-call support provided. support@outerbounds.coÂ
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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AI generated from product descriptions
Infrastructure Orchestration
Fully managed Kubernetes cluster optimized for data-intensive batch workloads and GPU-powered AI computations
Machine Learning Workflow Management
Open-source Metaflow framework for designing, developing, and executing data science and ML/AI applications
Enterprise Security Architecture
SOC2 compliant security model with comprehensive data and code protection within user's cloud account
Compute Resource Optimization
Scalable infrastructure with specialized tuning for efficient handling of computational and memory-intensive machine learning tasks
High Availability Infrastructure
Managed platform encapsulating enterprise-grade operational expertise for critical machine learning and data workloads
Serverless Compute
Provides serverless compute infrastructure specifically designed for AI, ML, and data processing workloads
GPU Container Deployment
Enables rapid GPU-enabled container deployment with startup times as low as one second
Infrastructure as Code
Supports deploying Python functions to cloud environments with custom container image and hardware specification definitions
Dynamic Resource Scaling
Automatically scales computational resources up to hundreds of GPUs and down to zero based on workload requirements
Cloud Workload Optimization
Supports complex computational tasks including ML inference, fine-tuning, and batch data processing
Machine Learning Workflow Automation
Comprehensive AI platform with end-to-end workflow capabilities for building, deploying, and operationalizing machine learning and generative AI applications
Large Language Model Customization
Advanced capabilities for fine-tuning models using techniques like Retrieval-Augmented Generation (RAG) and Retrieval-Augmented Fine-Tuning (RAFT)
GPU Resource Management
Dynamic GPU resource provisioning with scalable and flexible deployment across multiple environments including cloud, on-premises, and hybrid infrastructures
AI Application Governance
Built-in monitoring, guardrails, and governance mechanisms for managing machine learning and generative AI application lifecycles
Multi-Environment Deployment
Supports deployment across diverse computing environments with auto-scaling and automation capabilities
Standard contract
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