io.net Integrations

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.

Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.

Developers have always been forced to pick between two extremes of cloud infrastructure: expensive yet inflexible platforms that fail to scale, or complex large clouds that impose steep learning curves and massive operations teams. ‍ Render offers the best of both worlds — incredible ease of use coupled with immense power and scalability to power everything from a simple HTML page to complex applications with hundreds of microservices.

The Filecoin mainnet is here. Join today to make deals, store data, and earn FIL. The Filecoin network achieves staggering economies of scale by allowing anyone to participate as a storage provider and monetize their open hard drive space. The Filecoin network is designed to reward participants at multiple levels — from large scale data centers to local entrepreneurs with mining rigs that cover the last mile. Miners combine disks and other hardware to win storage deals, store data, and earn filecoin. Mining configurations range from desktop computers to large racks with disks and compute. No useless proof-of-work here. Storing more files is directly related to winning more block rewards. The more storage you add, the more filecoin you’ll earn. With the Filecoin retrieval market, miners will be rewarded for delivering content quickly.

The user-friendly and real-time update Scanning Tool for the Solana Ecosystem. Track your SOL and Solana-related tokens to get information on transactions. Solscan is a blockchain explorer for the Solana network.

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.

Software is what turns a vehicle into an intelligent machine. The NVIDIA DRIVE™ Software stack is open, empowering developers to efficiently build and deploy a variety of state-of-the-art AV applications, including perception, localization and mapping, planning and control, driver monitoring, and natural language processing. The foundation of the DRIVE Software stack, DRIVE OS is the first safe operating system for accelerated computing. It includes NvMedia for sensor input processing, NVIDIA CUDA® libraries for efficient parallel computing implementations, NVIDIA TensorRT™ for real-time AI inference, and other developer tools and modules to access hardware engines. The NVIDIA DriveWorks® SDK provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plugins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework.

Solana Pay is a new, open, and free-to-use payments framework built on Solana — the world’s most performant web3 ecosystem. Solana Pay is built for immediate transactions, fees that are fractions of a penny, and a net-zero environmental impact. Now your business can harness the power of the blockchain at the same speed as traditional payment networks. No more intermediaries. It’s just you and your customer. Settle your transactions immediately. Solana can process up to 60,000 transactions per second — and has been called the potential “Visa of the digital asset ecosystem." Avoid intermediaries and their high fees. Solana Pay is the first open, direct merchant-to-consumer payment rail. Your dev can set up the Solana Pay SDK in minutes, so you can start doing business with the millions who hold USDC or other Solana-based stablecoins.