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    Baseten

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    Sold by: Baseten 
    Deployed on AWS
    Machine learning infrastructure that just works

    Overview

    At Baseten, we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently.

    With Baseten, you can:

    • Deploy your proprietary ML models with optimized serving engines.
    • Deploy open-source models on dedicated instances.
    • Handle massive traffic spikes with autoscaling model deployments.
    • Save on infra costs with scale to zero and lighting fast cold starts.
    • Manage deployments, metrics, and spending with role-based access control.

    Connect with us to discuss your ML infrastructure needs and learn more about our available live engineering support, custom POCs, volume discounts, and self-hosted options.

    Highlights

    • Highly performant autoscaling infrastructure that goes from prototype to production seamlessly.
    • Reliable logging and visibility across deployments, health, metrics, and spend in your Baseten workspace.
    • Enterprise-grade security and reliability with SOC 2 Type II, HIPAA compliance, and custom SLAs.

    Details

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (1)

     Info
    Dimension
    Description
    Cost/month
    Baseten Base Package
    Base package pricing.
    $5,000.00

    Additional usage costs (1)

     Info

    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Description
    Cost/unit
    additional_usage
    Additional usage
    $1.00

    Vendor refund policy

    All fees are non-refundable and non-cancellable except as required by law.

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    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) .

    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.

    Usage information

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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.

    Support

    Vendor support

    Our standard email support is available Monday through Friday during business hours (Pacific time).

    We offer substantial additional support options, including Slack connect, live engineering support, custom POCs, and custom response SLAs.
    support@baseten.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.

    Product comparison

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    Updated weekly
    By Baseten
    By Modal

    Accolades

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    Top
    10
    In Serverless Workloads
    Top
    10
    In Feature Engineering, ML Solutions

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
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    Overview

     Info
    AI generated from product descriptions
    Model Deployment Infrastructure
    Supports deployment of proprietary and open-source machine learning models with optimized serving engines
    Autoscaling Capabilities
    Handles massive traffic spikes through dynamic autoscaling of model deployments with scale-to-zero functionality
    Performance Optimization
    Provides dedicated instances for model serving with fast cold start capabilities
    Access Control
    Implements role-based access control for managing deployments, metrics, and infrastructure spending
    Enterprise Security
    Offers SOC 2 Type II certification and HIPAA compliance with enterprise-grade security protocols
    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

    Contract

     Info
    Standard contract
    No

    Customer reviews

    Ratings and reviews

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