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
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You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
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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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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