Sold by: Outerbounds
Deployed on AWS
Give your data scientists superpowers, approved by your engineers.
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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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
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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.co
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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Workflow Orchestration Framework
Open-source Metaflow framework for designing and developing data science and ML/AI applications
Managed Kubernetes Infrastructure
Scalable, cost-optimized, fully managed Kubernetes cluster specifically tuned for data-intensive batch workloads and GPU-intensive AI workloads
High Availability Management
Enterprise-grade infrastructure with managed high availability for business-critical ML and data workloads
Data Isolation and Compliance
SOC2 compliant security architecture ensuring no data or code leaves the customer's account
Compute Resource Optimization
Cost-optimized compute allocation with support for demanding GPU requirements in modern AI applications
GPU Container Provisioning
Custom infrastructure enables GPU-enabled container spin-up in approximately one second for rapid iteration and scaling.
Autoscaling Capability
Automatic scaling to hundreds of GPUs and down to zero resources within seconds without manual infrastructure configuration.
Infrastructure-as-Code Deployment
Python functions deployable to cloud using infrastructure-as-code approach with custom container image and hardware requirement definitions.
Resource Optimization
Dynamic resource allocation that scales up and down based on workload demands to optimize resource utilization.
Serverless Compute Architecture
Serverless platform supporting ML inference, fine-tuning, and batch data job execution without infrastructure management overhead.
Multi-Node Distributed Training
Supports multi-node training capabilities enabling scalable AI model training across multiple machines with on-demand compute resources including A100 and H100 GPUs.
Integrated Development Environment
Provides unified platform integrating data preparation, model development, distributed training, and application deployment within a single cohesive interface.
Pre-built Model Templates
Includes pre-built studios from expert contributors and PyTorch ecosystem optimized for state-of-the-art AI applications including large language models, diffusion models, and graph neural networks.
Enterprise Security and Isolation
Offers bring-your-own-cloud (BYOC) deployment ensuring data remains within customer accounts, fine-grained access control, and private networking capabilities.
Serverless Deployment
Supports serverless deployment options for AI applications and endpoints with automatic scaling capabilities.
Standard contract
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