Business Software for Cirrascale

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.

Definitive functions are the heart of extensible programming. Python supports keyword arguments, mandatory and optional arguments, as well as arbitrary argument lists. It doesn't matter if you are a beginner or an expert programmer, Python is easy to learn. Python is easy to learn, whether you are a beginner or an expert in other languages. These pages can be a helpful starting point to learn Python programming. The community hosts meetups and conferences to share code and much more. The documentation for Python will be helpful and the mailing lists will keep in touch. The Python Package Index (PyPI), hosts thousands of third-party Python modules. Both Python's standard library and the community-contributed modules allow for endless possibilities.

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.

IBM Cloud®, capabilities allow for business agility and resilience. Discover the platform that offers 2.5x value. It is designed for industry, security, and the freedom to create and run anywhere. Automation and AI can transform business workflows. A strong technology partner network that provides value for industry needs. Solutions and expertise in the business and industry domains. Automated and auditable processes. Unique capabilities that ensure the highest level of cloud security monitoring. All applications are subject to the same security and controls. Containerized capabilities for DevOps automation, data security and data management. Integration is easy and the application development lifecycle is consistent. Advanced technologies such as IBM Watson®, analytics and IoT.

A robust, bare-metal virtual hypervisor that can be installed directly on your server. VMware ESXi partitions hardware to consolidate apps and reduce costs. It is the industry standard for efficient architecture and has set the benchmark for reliability, performance, support, and support. IT teams are constantly under pressure to keep up with changing market trends and customer demands. They also have to stretch IT resources to support increasingly complex projects. ESXi balances the need for better business outcomes with IT savings. VMware ESXi enables you to: - Consolidate hardware to increase capacity utilization - Gain a competitive edge by increasing performance - Centralized management streamlines IT administration Reduce CapEx and OpEx - Reduce hardware resources required to run the hypervisor. This will result in greater efficiency.

Our platform allows you to create AI products, train, fine-tune, and deploy models on the cloud. You don't have to worry about scaling, infrastructure, cost management, or other technical issues. Prebuilt, fully customizable modular components make it easy to train, fine tune, and deploy models. The science, not the engineering, should be your focus. Lightning components organize code to run on the cloud and manage its own infrastructure, cloud cost, and other details. 50+ optimizations to lower cloud cost and deliver AI in weeks, not months. Enterprise-grade control combined with consumer-level simplicity allows you to optimize performance, reduce costs, and take on less risk. Get more than a demo. In days, not months, you can launch your next GPT startup, diffusion startup or cloud SaaSML service.

OpenStack is a cloud operating platform that manages large pools of compute, storage and networking resources within a datacenter. All APIs have common authentication mechanisms and are managed and provisioned via OpenStack. The dashboard gives administrators access to their resources and empowers users to do the same through a web interface. Beyond standard infrastructure-as-a-service functionality, additional components provide orchestration, fault management and service management amongst other services to ensure high availability of user applications. OpenStack is broken down into services, allowing you to plug-and-play components according to your needs. The openstack map shows you a "at a glance” view of the openstack landscape so you can see where these services fit and how they can be combined.

H2O.ai, the open-source leader in AI and machinelearning, has a mission to democratize AI. Our enterprise-ready platforms, which are industry-leading, are used by thousands of data scientists from over 20,000 organizations worldwide. Every company can become an AI company in financial, insurance, healthcare and retail. We also empower them to deliver real value and transform businesses.

People quit their jobs because they don't feel appreciated. This is why effective employee recognition programs can reduce the rate of voluntary turnover by as much as 31%. Gallup identified recognition as one of the most important drivers of employee engagement. A recognition partner is essential to create a great employee experience, even in a world where employee recognition technology is readily available. Our unique insights, comprehensive tools and tailored solutions address every aspect of employee life and scale to any size workforce. Your organization can manage all types of employee incentives, recognitions, and corporate initiatives from a single location. You can track the effectiveness of your employee appreciation program with customizable surveys and ROI tools. For higher employee satisfaction and lower turnover, encourage positive feedback daily.

Dataflow-as-a-Service helps you to rapidly deploy models to accelerate AI workloads. We offer comprehensive services, models, platform, and support to enable you to deploy custom solutions with complete confidence. Fully managed, expert application services will help you save 12-18 months and get up to speed quickly. To deploy machine learning of the highest quality, you don't need to be a superscaler. Your machine learning team should be focusing on strategic initiatives and not repetitive and mundane work. Continuous updates keep you up-to-date with the latest developments in machine learning. We keep you up-to-date with the most current models and algorithmic techniques. Your data can be used to create customized solutions with the highest accuracy. Our technology and expertise will help you become an AI leader. Designed to augment the expertise of your machine learning team, Dataflow-as-a-Service provides best-in-class solutions to meet your unique requirements.

We believe in freedom of choice. Each of the production, development, and disaster recovery workloads has its own requirements. Running them in different locations with different providers can prove costly and complicated. To build the right solution for you, we leverage brick-and-mortar data centres, advanced cloud services, as well as your existing infrastructure or platforms. ScaleMatrix offers cutting-edge Cloud Hosting, Backup, Disaster Recovery and VDI Desktop services. ScaleDesktop is a responsive virtual desktop environment that offers expert support and local and roaming security. ScaleDesktop is ideal for remote work or home needs. It seamlessly delivers Windows enterprise desktop capabilities cost-effectively.

With our cloud partners, you can build, train, and deploy your models in cloud using the most recent IPU AI systems and frameworks. This allows you to scale up to large IPU compute seamlessly, while saving on compute costs. Get started with IPUs today by getting on-demand pricing and tiers free of charge from our cloud partners. Our Intelligence Processing Unit (IPU), technology is expected to become the global standard for machine intelligence computing. The Graphcore IPU will have a transformative impact across all industries and sectors. It has the potential to have a real positive societal impact, from drug discovery to disaster recovery to decarbonization. The IPU is an entirely new processor that was specifically designed for AI computation. AI researchers can use the IPU's unique architecture to do completely new types of work that are not possible with current technologies. This will allow them to drive the next generation in machine intelligence.

We have built the fastest AI acceleration, based on one of the largest processors in the industry. It is also easy to use. Cerebras' blazingly fast training, ultra-low latency inference and record-breaking speed-to-solution will help you achieve your most ambitious AI goals. How ambitious is it? How ambitious?

ONNX defines a set of common operators - the building block of machine learning and deeper learning models – and a standard file format that allows AI developers to use their models with a wide range of frameworks, runtimes and compilers. You can use your preferred framework to develop without worrying about downstream implications. ONNX allows you to use the framework of your choice with your inference engine. ONNX simplifies the access to hardware optimizations. Use runtimes and libraries compatible with ONNX to optimize performance across hardware. Our community thrives in our open governance structure that provides transparency and inclusion. We encourage you to participate and contribute.

PaddlePaddle is built on Baidu's decades of deep learning technology research. It integrates deep learning core framework and basic model library, end to end development kit, tool components, and service platform. It was officially released open-source in 2016. It is an industry-level deep-learning platform that integrates open source, leading technology and complete functions. The flying paddle is a result of industrial practice. It has always been committed towards in-depth integration with industry. Flying paddles are used in industry, agriculture, as well as service industries. They have served 3.2 million developers and work with partners to help more industries achieve AI empowerment.

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.

IBM Power®, a service from IBM, helps customers respond quicker to business needs, protect data core to cloud, streamline insights and automation, and maximize reliability in a sustainable manner. Power can modernize infrastructure and applications with a seamless hybrid cloud experience that provides the agility companies require. The IBM Power S1014 server is a 1 socket, 4U Power10-based server that can handle business-critical workloads using AIX, IBM I, and Linux. The IBM Power S1024 server is a 2 socket, 4U Power10-based server. You can pay only for what you use and share resources between systems. Data security is from end to end with memory encryption on processors and minimal downtime with industry-leading reliability.

Red Hat®, Cloud Suite is a container-based platform for application development. It is built on a highly scalable cloud infrastructure and managed through a common management structure. Customers can use existing workloads to scale out cloud infrastructure and create new cloud-based services for application development and private cloud. Red Hat Cloud Suite allows the operations team to deliver public cloud-like services for developers and business while maintaining control over and visibility. Key product features include: Integrated components -- Fully supported, tightly integrated components that work together to create an open hybrid cloud. Unified management -- One management platform for infrastructure and application development layers. It also includes complete operation and lifecycle management with proactive risk mitigation. OpenShift Enterprise provides full-featured application development and container development capabilities.