Xen Project

5 reviews

The Xen Project serves as the basis for many commercial server virtualization, desktop and embedded products as well as hardware appliances and cloud solutions.

CoreDNS

2 reviews

CoreDNS is a Service discovery for the cloud and more.

Open vSwitch

2 reviews

Open vSwitch is a production quality, multilayer virtual switch licensed under the open source Apache 2.0 license. It is designed to enable massive network automation through programmatic extension, while still supporting standard management interfaces and protocols (e.g. NetFlow, sFlow, IPFIX, RSPAN, CLI, LACP, 802.1ag).

Open Neural Network Exchange (ONNX)

2 reviews

ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers

envoy

1 review

ENVOY IS AN OPEN SOURCE EDGE AND SERVICE PROXY, DESIGNED FOR CLOUD-NATIVE APPLICATIONS.

Horovod

1 review

Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. Horovod was originally developed by Uber to make distributed deep learning fast and easy to use, bringing model training time down from days and weeks to hours and minutes. With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve.

Open Horizon

0 reviews

LF Edge is an umbrella organization that establishes an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system.

Network Service Mesh

0 reviews

Network service mesh (NSM) adds the following properties to networking in Kubernetes: Heterogeneous network configurations Exotic protocols Tunneling as a first-class citizen Networking context as a first-class citizen Policy-driven service function chaining (SFC) Minimal need for changes to Kubernetes On-demand, dynamic, negotiated connections