io.net Integrations

Open source platform for machine learning. TensorFlow is a machine learning platform that is open-source and available to all. It offers a flexible, comprehensive ecosystem of tools, libraries, and community resources that allows researchers to push the boundaries of machine learning. Developers can easily create and deploy ML-powered applications using its tools. Easy ML model training and development using high-level APIs such as Keras. This allows for quick model iteration and debugging. No matter what language you choose, you can easily train and deploy models in cloud, browser, on-prem, or on-device. It is a simple and flexible architecture that allows you to quickly take new ideas from concept to code to state-of the-art models and publication. TensorFlow makes it easy to build, deploy, and test.

Kubernetes (K8s), an open-source software that automates deployment, scaling and management of containerized apps, is available as an open-source project. It organizes containers that make up an app into logical units, which makes it easy to manage and discover. Kubernetes is based on 15 years of Google's experience in running production workloads. It also incorporates best-of-breed practices and ideas from the community. Kubernetes is built on the same principles that allow Google to run billions upon billions of containers per week. It can scale without increasing your operations team. Kubernetes flexibility allows you to deliver applications consistently and efficiently, no matter how complex they are, whether you're testing locally or working in a global enterprise. Kubernetes is an open-source project that allows you to use hybrid, on-premises, and public cloud infrastructures. This allows you to move workloads where they are most important.

TorchScript allows you to seamlessly switch between graph and eager modes. TorchServe accelerates the path to production. The torch-distributed backend allows for distributed training and performance optimization in production and research. PyTorch is supported by a rich ecosystem of libraries and tools that supports NLP, computer vision, and other areas. PyTorch is well-supported on major cloud platforms, allowing for frictionless development and easy scaling. Select your preferences, then run the install command. Stable is the most current supported and tested version of PyTorch. This version should be compatible with many users. Preview is available for those who want the latest, but not fully tested, and supported 1.10 builds that are generated every night. Please ensure you have met the prerequisites, such as numpy, depending on which package manager you use. Anaconda is our preferred package manager, as it installs all dependencies.

You can develop on your laptop, then scale the same Python code elastically across hundreds or GPUs on any cloud. Ray converts existing Python concepts into the distributed setting, so any serial application can be easily parallelized with little code changes. With a strong ecosystem distributed libraries, scale compute-heavy machine learning workloads such as model serving, deep learning, and hyperparameter tuning. Scale existing workloads (e.g. Pytorch on Ray is easy to scale by using integrations. Ray Tune and Ray Serve native Ray libraries make it easier to scale the most complex machine learning workloads like hyperparameter tuning, deep learning models training, reinforcement learning, and training deep learning models. In just 10 lines of code, you can get started with distributed hyperparameter tune. Creating distributed apps is hard. Ray is an expert in distributed execution.

Developers are forced to choose between two extremes when it comes to cloud infrastructure: expensive, inflexible platforms which do not scale or large complex clouds with steep learning curves. Render combines the best of both worlds - incredible ease of use with immense power and scaleability to power anything from a simple HTML webpage to complex applications with thousands of microservices.

The Solana Ecosystem's user-friendly, real-time update scanning tool. To track your SOL tokens and Solana-related tokens, get information about transactions.

The Filecoin mainnet has been launched. Join Filecoin today to make deals, store your data, and earn FIL. Filecoin's network allows anyone to become a storage provider and monetize open hard drive space. This creates incredible economies of scale. The Filecoin network rewards participants at multiple levels, from large data centers to local entrepreneurs to those who have mining rigs that cover the entire last mile. To win storage deals, store data and earn filecoin, miners combine disks with other hardware. There are many mining configurations, from desktop computers to large racks that have disks and compute. This is not a place for wasting proof-of-work. More block rewards are won if you have more files. The more filecoin that you earn, the more storage you can add. Miners will be rewarded for delivering content fast with the Filecoin retrieval marketplace.

Software is what transforms a vehicle into a smart machine. Open source software stack NVIDIA DRIVE™, enables developers to quickly build and deploy a variety state-of the-art AV applications. This includes perception, localization, mapping, driver monitoring, planning and control, driver monitoring and natural language processing. DRIVE OS, the foundation of the DRIVE SoftwareStack, is the first secure operating system for accelerated computation. It includes NvMedia to process sensor input, NVIDIACUDA®, libraries for parallel computing implementations that are efficient, NVIDIA TensorRT™ for real time AI inference, as well as other tools and modules for accessing hardware engines. NVIDIA DriveWorks®, a SDK that provides middleware functions over DRIVE OS, is essential for autonomous vehicle development. These include the sensor abstraction layer (SAL), sensor plugins, data recorder and vehicle I/O support.

Solana Pay, the world's most efficient web3 ecosystem, is a new, free, and open-source payments framework. Solana Pay is designed for instant transactions, with minimal fees and zero environmental impact. Your business can now harness the power and speed of the blockchain in the same way as traditional payment networks. No more intermediaries. You and your customer are the only ones involved. You can settle your transactions immediately. Solana can process upto 60,000 transactions per second -- it has been called the "Visa of the digital assets ecosystem." Avoid intermediaries and their high-priced fees. Solana Pay is the first direct merchant-to-consumer payment railway. Your dev will set up the SolanaPay SDK in just minutes so that you can do business with the millions of Solana-based stablecoin holders.