Search Results for "frameworks"
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Showing 10 open source projects for "frameworks"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Volcano
A Cloud Native Batch System (Project under CNCF)
...It provides a suite of mechanisms that are commonly required by many classes of batch & elastic workload including machine learning/deep learning, bioinformatics/genomics, and other "big data" applications. These types of applications typically run on generalized domain frameworks like TensorFlow, Spark, Ray, PyTorch, MPI, etc, which Volcano integrates with. Volcano builds upon a decade and a half of experience running a wide variety of high-performance workloads at scale using several systems and platforms, combined with best-of-breed ideas and practices from the open-source community. Until June 2021, Volcano has been widely used around the world at a variety of industries such as Internet/Cloud/Finance/ Manufacturing/Medical. ... -
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A Kubernetes Native Java stack tailored for OpenJDK HotSpot and GraalVM, crafted from the best-of-breed Java libraries and standards. Quarkus tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near-instant scale-up and high-density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile-time boot. Combine both the familiar imperative code and the reactive...
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KServe
Standardized Serverless ML Inference Platform on Kubernetes
KServe provides a Kubernetes Custom Resource Definition for serving machine learning (ML) models on arbitrary frameworks. It aims to solve production model serving use cases by providing performant, high abstraction interfaces for common ML frameworks like Tensorflow, XGBoost, ScikitLearn, PyTorch, and ONNX. It encapsulates the complexity of autoscaling, networking, health checking, and server configuration to bring cutting edge serving features like GPU Autoscaling, Scale to Zero, and Canary Rollouts to your ML deployments. ... -
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PHP-DI
The dependency injection container for humans
...It automates the process of injecting dependencies, reducing boilerplate code and making applications more maintainable. PHP-DI supports autowiring and integrates seamlessly with popular frameworks like Symfony and Laravel, offering a powerful solution for managing complex dependency graphs. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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JAX Toolbox
Public CI, Docker images for popular JAX libraries
...It provides prebuilt Docker images, continuous integration pipelines, and optimized example implementations that help developers quickly set up and run JAX workloads without complex configuration. The project supports popular JAX-based frameworks and models, including architectures used for large-scale pretraining such as GPT and LLaMA variants. By offering curated environments and tested configurations, it reduces compatibility issues and accelerates development workflows for both research and production. The repository also includes performance-optimized examples that demonstrate best practices for leveraging NVIDIA hardware effectively. ... -
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NVIDIA AI Cluster Runtime (AICR)
Tooling for optimized and reproducible GPU-accelerated AI runtime
...It appears to emphasize automation, consistency, and performance optimization across AI pipelines, potentially targeting enterprise and research use cases. Given NVIDIA’s ecosystem, it may also integrate with containerized environments, Kubernetes, or other orchestration frameworks. -
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KEDA
KEDA is a Kubernetes-based Event Driven Autoscaling component
...With KEDA you can explicitly map the apps you want to use event-driven scale, with other apps continuing to function. This makes KEDA a flexible and safe option to run alongside any number of other Kubernetes applications or frameworks. -
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Swoft
PHP Microservice full Coroutine framework
Swoft is a PHP microservices coroutine framework based on the Swoole extension. Like Go, Swoft has a built-in coroutine web server and a common coroutine client and is resident in memory, independent of traditional PHP-FPM. There are similar Go language operations, similar to the Spring Cloud framework flexible annotations, powerful global dependency injection container, comprehensive service governance, flexible and powerful AOP, standard PSR specification implementation, and so on. Through... -
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Helios
Docker container orchestration platform
This project was created when there were no open-source container orchestration frameworks. Since the advent of Kubernetes and other tools, we've stopped adding new features to helios and are now switching to other tools like Kubernetes. This project will no longer have new features or accept PRs for new features. We will continue to accept bug fixes, however. Helios is a Docker orchestration platform for deploying and managing containers across an entire fleet of servers. -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Mesos Cluster
Scripts to configure a Mesos cluster using Mesos and Mesosphere
Scripts to configure a Mesos cluster using Mesos and Mesosphere services. Mesos master running the Marathon and Chronos frameworks. Mesos agent with Docker containerizer. Mesos DNS for core service discovery. Marathon load balancer using HAProxy for SSL and proxying to internal applications. To try it out locally use the Vagrant configuration. To use the scripts to build a custom Mesos cluster first install the roles in your project and configure Ansible to load roles from the roles directory provided by this project. ...
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