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Quarkus: Supersonic Subatomic Java. . Contribute to quarkusio/quarkus development by creating an account on GitHub.
- Fast Startup Time - Quarkus is designed with a focus on GraalVM and ahead-of-time compilation, which significantly reduces startup time, making it ideal for cloud-native applications and microservices that may be frequently started and stopped.
- Low Memory Footprint - Quarkus optimizes for low RAM usage by leveraging techniques like dead code elimination and native image generation, which is beneficial in resource-constrained environments such as containers and serverless platforms.
- Developer Productivity - Quarkus provides developer-friendly features like live reload and Dev UI, which enhance productivity by allowing developers to test changes immediately and manage extensions with ease.
- Extensive Extension Ecosystem - Quarkus supports a wide range of extensions for various popular technologies and frameworks, making it versatile and easier to integrate with existing systems and tools.
- Kubernetes Native - Built with Kubernetes in mind, Quarkus offers out-of-the-box integration with Kubernetes and OpenShift, simplifying deployment and management of applications in container orchestration platforms.
#Web Frameworks #Developer Tools #PHP MVC Framework 2 social mentions
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GPU rental by the minute plus an OpenAI-compatible AI API, on one prepaid balance. Independent service.Pricing:
- Paid
- Free Trial
- $0.15 / Usage
- On-Demand GPU Access - CloudGPU.app provides users with the ability to rent GPU computing power on-demand, eliminating the need for expensive upfront hardware investments for machine learning, AI training, or rendering tasks.
- Cost Efficiency for Short-Term Needs - By offering pay-as-you-go pricing, the platform can be more cost-effective than purchasing physical GPUs for users who only need computing power intermittently or for short-term projects.
- Simplified Setup - The platform aims to reduce the technical complexity of setting up GPU environments, allowing developers and researchers to focus on their work rather than infrastructure management.
- Scalability - Users can potentially scale their GPU usage up or down based on project demands, making it suitable for variable workloads without long-term commitments.
- Accessibility for Individuals and Small Teams - It lowers the barrier to entry for individuals, students, and small teams who need GPU resources for AI/ML experimentation but cannot afford dedicated hardware or large cloud provider contracts.
#Cloud GPU #AI Infrastructure #Developer Tools Featured
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Java template engine; generates HTML web pages, e-mails, configuration files, source code, etc. from template files and the data your application provides.Pricing:
- Open Source
#Web Frameworks #Application And Data #Languages & Frameworks 8 social mentions
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Automated AI security testing for agents, chatbots, and APIs. Find prompt injection, data leaks, and unsafe behavior before launch.Pricing:
- Paid
- Free Trial
- $499 / Monthly (Enterprise: 30 scans, 1 active runner license)
- CI Release Gates - Apply configured security criteria in CI to flag or block releases based on test results.
- Free Security Resources - Five public tools for release planning, security checklists, prompt injection examples, and OWASP test mapping.
- Evidence and Reports - Review findings with evidence and remediation guidance, and export JSON or PDF reports.
- AI Security Testing - 138 automated checks across 18 attack categories for prompt injection, data leaks, unsafe tool behavior, and other AI risks.
- Supported Targets - Test AI API endpoints and web chatbots, including applications powered by agents and LLMs.
#Cyber Security #AI #APIs Featured

