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    Jina on Ubuntu 26.04 with maintenance support by bCloud

     Info
    Sold by: bCloud LLC 
    Deployed on AWS
    AWS Free Tier
    This product has charges associated with it for seller support. Jina is an open-source neural search framework for building AI-powered search, retrieval, and multimodal applications at scale.

    Overview

    Jina 3.34.0 on Ubuntu 26.04 with Free Maintenance Support by bCloud

    Jina 3.34.0 on Ubuntu 26.04, with optional maintenance support from bCloud, is a repackaged open-source neural search and AI application framework designed for building multimodal search, retrieval-augmented generation (RAG), recommendation systems, and AI-powered data pipelines. Jina enables developers to create scalable AI services that combine text, image, audio, video, and structured data processing within a unified architecture.

    This Ubuntu-based deployment provides a ready-to-use environment for AI engineers, developers, data scientists, and enterprises seeking to build, deploy, and scale intelligent search and retrieval applications with minimal setup effort.

    Keywords of Jina

    • Neural search framework
    • Retrieval-Augmented Generation (RAG)
    • Multimodal AI application development
    • Vector search and embedding pipelines
    • Scalable microservice architecture
    • AI-powered recommendation systems
    • Cloud-native deployment framework
    • Enterprise AI search solutions

    Core Technical Capabilities of Jina

    Neural Search and Retrieval Framework

    Jina provides a powerful framework for building intelligent search and retrieval systems powered by modern AI models.

    • semantic search across diverse data types
    • vector-based indexing and retrieval
    • scalable search service architecture

    Multimodal AI Processing

    Jina supports processing and searching across multiple data modalities.

    • text, image, audio, and video support
    • cross-modal retrieval capabilities
    • unified data processing workflows

    Retrieval-Augmented Generation (RAG)

    Jina enables the development of modern RAG applications and AI assistants.

    • integration with large language models
    • context-aware information retrieval
    • knowledge-enhanced AI responses

    Cloud-Native and Distributed Architecture

    Jina is designed for scalable deployments in cloud and enterprise environments.

    • microservice-based architecture
    • containerized deployment support
    • horizontal scalability for large workloads

    Production-Ready AI Pipelines

    Jina supports both research experimentation and enterprise-grade AI systems.

    • high-performance serving infrastructure
    • modular and reusable components
    • integration with modern AI ecosystems

    Ubuntu 26.04 Deployment Advantages

    Preconfigured Environment

    Ubuntu-based deployment provides a ready environment for immediate use:

    • Jina 3.34.0 installed with dependencies
    • Python-based AI runtime environment
    • minimal setup and configuration overhead

    System Integration

    Supports standard Linux and AI ecosystem tools:

    • Python 3 and pip-based workflows
    • integration with machine learning frameworks
    • compatibility with vector databases and LLM platforms

    Maintenance Support (bCloud)

    Optional bCloud support may include:

    • environment updates and dependency management
    • installation troubleshooting and optimization
    • deployment assistance for AI applications

    Support beyond the open-source Jina environment may incur additional charges.

    Highlights

    • Process text, images, audio, and video with multimodal AI workflows.
    • Deploy distributed AI services using cloud-native architecture.
    • Integrate seamlessly with vector databases, embeddings, and LLMs.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 26.04

    Deployed on AWS
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    Pricing

    Jina on Ubuntu 26.04 with maintenance support by bCloud

     Info
    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.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    Usage costs (21)

     Info
    Dimension
    Cost/hour
    m4.large
    Recommended
    $0.03
    t2.micro
    $0.01
    t3.micro
    $0.03
    r3.large
    $0.03
    r4.large
    $0.03
    t3.large
    $0.03
    t2.large
    $0.03
    t3.medium
    $0.03
    t2.2xlarge
    $0.03
    t2.medium
    $0.03

    Vendor refund policy

    No Refund

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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

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    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Packaged with latest updates as of June 2026.

    Additional details

    Usage instructions

    Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html  - Run the following commands:

    sudo su

    cd /usr/src/Python-3.11.13

    source jina-env/bin/activate

    jina -v

    pip show jina

    Support

    Vendor support

    Feel free to reach out anytime. Our support team is available 24x7 for assistance. Phone: +1 (408) 646-8523 Email: cloud@bcloud.ai  Website:

    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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