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Description
Karaf serves as a modulith runtime designed for enterprise environments, capable of operating both on-premises and in the cloud. By allowing you to concentrate on your business logic and applications, Apache Karaf handles the surrounding infrastructure. This robust runtime supports an extensive array of frameworks and technologies, making it a versatile choice. With enterprise-grade functionalities such as a shell console, remote access, hot deployment, and dynamic configuration, Karaf facilitates smooth operations. Additional features offered by Karaf projects include clustering, comprehensive monitoring and alerting, as well as an application repository. You can deploy your applications seamlessly across various platforms, from any Java-enabled machine to cloud services or Docker images. As a lightweight and powerful solution, Karaf is well-equipped for enterprise needs, delivering essential ecosystem and bootstrapping options for your applications. Whether you're developing REST APIs, web applications, or leveraging Spring Boot, this modulith runtime supports a diverse range of application types, ensuring flexibility and efficiency in deployment. Its adaptability makes it an ideal choice for businesses looking to streamline their application management processes.
Description
Together AI offers a cloud platform purpose-built for developers creating AI-native applications, providing optimized GPU infrastructure for training, fine-tuning, and inference at unprecedented scale. Its environment is engineered to remain stable even as customers push workloads to trillions of tokens, ensuring seamless reliability in production. By continuously improving inference runtime performance and GPU utilization, Together AI delivers a cost-effective foundation for companies building frontier-level AI systems. The platform features a rich model library including open-source, specialized, and multimodal models for chat, image generation, video creation, and coding tasks. Developers can replace closed APIs effortlessly through OpenAI-compatible endpoints. Innovations such as ATLAS, FlashAttention, Flash Decoding, and Mixture of Agents highlight Together AI’s strong research contributions. Instant GPU clusters allow teams to scale from prototypes to distributed workloads in minutes. AI-native companies rely on Together AI to break performance barriers and accelerate time to market.
API Access
Has API
API Access
Has API
Integrations
Apache Camel
DeepCoder
DeepSWE
DeepSeek-V4-Flash
E2B
GLM-5.1
HoneyHive
Kimi K2.5
LangDB
LiteLLM
Integrations
Apache Camel
DeepCoder
DeepSWE
DeepSeek-V4-Flash
E2B
GLM-5.1
HoneyHive
Kimi K2.5
LangDB
LiteLLM
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.0001 per 1k tokens
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
karaf.apache.org
Vendor Details
Company Name
Together AI
Founded
2022
Country
United States
Website
www.together.ai/
Product Features
Application Development
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)