Best IT Management Software for TensorFlow

Find and compare the best IT Management software for TensorFlow in 2025

Use the comparison tool below to compare the top IT Management software for TensorFlow on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Flex83 Reviews

    Flex83

    IoT83

    $200 per month
    2 Ratings
    Flex83 Application Enablement Platform enables you to reimagine IoT innovation. You can create compelling and powerful IoT solutions faster than ever before, and at a fraction the cost. - Use no-code workflows to build professional-grade connect/monitor/analyze/manage solutions fast. - Connect to virtually any device with low-code tools, add custom business logic, create custom dashboards and launch multiple applications. - Use the SaaS model to build and prove your solution. Then scale using a "pay-as-you-grow" model. With the right tools and workflows, you can create IoT applications that are sophisticated in a matter of hours. This allows you to quickly build what your customers or business need, without worrying about lengthy development cycles, underlying complexity or large budgets. You can iteratively improve your solution to expand your capabilities and drive greater customer value. The Flex83 platform has been tested on 65M devices. Flex83 is worth a try!
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    Pop!_OS Reviews
    Pop!_OS is an operating platform for STEM and creative professionals who use computers to discover and create. Open source software is secure and reliable. Unlock your potential We believe you have a lot, based on your extraordinary curiosity. Pop!_OS is optimized for speed navigation, workspace organization, and a fluid, efficient workflow. Your operating system should encourage discovery and not hinder it. Once you have your wheels turning, you can take the scenic route using dock and touchpad gestures or race along a minimalist track while behind the wheel of a revving keyboard. You can customize your workflow in a variety of ways, including keyboard-driven or mouse-driven. Pop!_OS uses automatic-tiling because it is so time-consuming to organize your work. You could still move, resize and arrange windows manually, but why waste your time when your OS does it automatically?
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    Activeeon ProActive Reviews
    ProActive Parallel Suite, a member of the OW2 Open Source Community for acceleration and orchestration, seamlessly integrated with the management and operation of high-performance Clouds (Private, Public with bursting capabilities). ProActive Parallel Suite platforms offer high-performance workflows and application parallelization, enterprise Scheduling & Orchestration, and dynamic management of private Heterogeneous Grids & Clouds. Our users can now simultaneously manage their Enterprise Cloud and accelerate and orchestrate all of their enterprise applications with the ProActive platform.
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    Swimm Reviews

    Swimm

    Swimm

    $29 per month
    Never let onboarding, knowledge silos or context switching slow down your progress. Swimm allows you to create and edit documents that are linked with your code, autosynced, integrated into your workflow, and automatically edited by Swimm. Swimm's language-agnostic editor is paired with Smart Tokens, Snippet Studio, and is the foundation of modern documentation. Create media-rich documents that are compatible with the code. Swimm's Autosync algorithm helps keep your documentation in sync by refactoring and organizing. You don't need to worry about file names, function names or implementation changes. Swimm will keep up with your code. Swimm will monitor your documentation as your code changes and notify you if any of your changes have an impact on your documentation. You can access docs right next the code they reference. Keep your IDE open and continue your work flow. Clicking on a link will open your IDE in a new tab. This tab will contain the Markdown documentation.
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    Xtendlabs Reviews
    It takes a lot of time and resources to install and configure today's complex software technology platforms. Xtendlabs is different. Xtendlabs Emerging Technology Platform-as-a-Services provides immediate access to emerging Big Data, Data Sciences, and Database technology platforms online, from any device and location, 24/7. Xtendlabs can be accessed 24/7 from any location, whether it is your home, office, or on the road. Xtendlabs can scale to your needs on-demand so you can concentrate on your business problem and learning, rather than trying to set up infrastructure. Sign-in to immediately access your virtual lab environment. Xtendlabs does not require virtual machine installation, configuration or system setup, which saves valuable time and money. Pay as you go each month. Xtendlabs does not require upfront investments in hardware or software.
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    Quobyte Reviews

    Quobyte

    Quobyte

    $8,999 per year
    Quobyte's high performance file and object storage allows you to deploy anywhere (any cloud, any server), scale performance and manage large data sets while simplifying administration. Quobyte was created with one goal: to make your life easier. We simplify storage with a simple download and installation (no complicated configurations or kernel modules), which allows for easy management. You can deploy your software storage solution anywhere. Quobyte allows you to choose whether it's on existing hardware, the cloud, or a combination. Quobyte is completely non-disruptive. Software updates, nodes additions and removals, all are possible. This allows you to work when it's most convenient for you. Say goodbye to maintenance windows, and hello to more time for your weekends and nights.
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    Voxel51 Reviews
    Voxel51, the company behind FiftyOne is responsible for the open-source software that allows you to create better computer vision workflows through improving the quality of datasets and delivering insights into your models. Explore, search and slice your datasets. Find samples and labels quickly that match your criteria. FiftyOne offers tight integrations to public datasets such as COCO, Open Images and ActivityNet. You can also create your own datasets. Data quality is one of the most important factors that affect model performance. FiftyOne can help you identify, visualize and correct the failure modes of your model. Annotation errors lead to bad models. But finding mistakes manually is not scalable. FiftyOne automatically finds and corrects label mistakes, so you can curate better-quality datasets. Manual debugging and aggregate performance metrics don't scale. Use the FiftyOne Brain for edge cases, new samples to train on, and more.
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    Amazon EC2 P4 Instances Reviews
    Amazon EC2 instances P4d deliver high performance in cloud computing for machine learning applications and high-performance computing. They offer 400 Gbps networking and are powered by NVIDIA Tensor Core GPUs. P4d instances offer up to 60% less cost for training ML models. They also provide 2.5x better performance compared to the previous generation P3 and P3dn instance. P4d instances are deployed in Amazon EC2 UltraClusters which combine high-performance computing with networking and storage. Users can scale from a few NVIDIA GPUs to thousands, depending on their project requirements. Researchers, data scientists and developers can use P4d instances to build ML models to be used in a variety of applications, including natural language processing, object classification and detection, recommendation engines, and HPC applications.
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    NVIDIA NGC Reviews
    NVIDIA GPU Cloud is a GPU-accelerated cloud platform that is optimized for scientific computing and deep learning. NGC is responsible for a catalogue of fully integrated and optimized deep-learning framework containers that take full benefit of NVIDIA GPUs in single and multi-GPU configurations.
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    HPE Ezmeral Reviews

    HPE Ezmeral

    Hewlett Packard Enterprise

    Manage, control, secure, and manage the apps, data, and IT that run your business from edge to cloud. HPE Ezmeral accelerates digital transformation initiatives by shifting resources and time from IT operations to innovation. Modernize your apps. Simplify your operations. You can harness data to transform insights into impact. Kubernetes can be deployed at scale in your data center or on the edge. It integrates persistent data storage to allow app modernization on baremetal or VMs. This will accelerate time-to-value. Operationalizing the entire process to build data pipelines will allow you to harness data faster and gain insights. DevOps agility is key to machine learning's lifecycle. This will enable you to deliver a unified data network. Automation and advanced artificial intelligence can increase efficiency and agility in IT Ops. Provide security and control to reduce risk and lower costs. The HPE Ezmeral Container Platform is an enterprise-grade platform that deploys Kubernetes at large scale for a wide variety of uses.
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    Pavilion HyperOS Reviews
    The most efficient, dense, scalable and flexible storage platform in existence. Pavilion HyperParallel File System™ allows you to scale across unlimited Pavilion HyperParallel Flash arrays™, providing 1.2TB/s read and 900GB/s write bandwidth, with 200M IOPS at a latency of 25us per rack. The Pavilion HyperOS 3 is unique in its ability to provide independent, linear scaling of both capacity as well as performance. It now supports global namespace support for both NFS/S3, allowing unlimited, linear scale across unlimited Pavilion HyperParallel FlashArray systems. The Pavilion HyperParallel Flash array offers unparalleled performance and availability. The Pavilion HyperOS is patent-pending technology that ensures that your data is always accessible, with performant access that legacy arrays can't match.
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    PredictKube Reviews
    Make your Kubernetes autoscaling proactive. PredictKube will help you move from reactive to proactive scaling. Our AI model makes predictions that will allow you to complete autoscaling before load rises. Our AI model can work with your data for up to 2 weeks to provide reliable prediction and autoscaling. PredictKube, a predictive Keda scaler, helps you save time and automates autoscaling. Our KEDA scaler was built using the best technologies for Kubernetes or AI. You can input data for up to 1 week and get proactive autoscaling with AI prediction. This will allow you to scale up to 6 hours per hour. Our AI model can analyze your data and use data from custom and public business metrics to determine the right time for scaling. Access to API is free and all features are available to enable autoscaling.
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    Fuzzball Reviews
    Fuzzball speeds up innovation for researchers and scientist by eliminating the burdens associated with infrastructure provisioning and administration. Fuzzball optimizes the design and execution of high-performance computing workloads. A user-friendly GUI to design, edit, and execute HPC jobs. CLI allows for comprehensive control and automation of HPC tasks. Automated data entry and exit with full compliance logs. Native integration with GPUs, on-prem storage and cloud storage. Workflow files that are portable and readable by humans. CIQ's Fuzzball modernizes HPC by using an API-first and container-optimized architectural approach. It is based on Kubernetes and provides all of the security, performance and stability found in modern infrastructure and software. Fuzzball abstracts infrastructure and automates complex workflows to drive greater efficiency and collaboration.
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    Amazon EC2 P5 Instances Reviews
    Amazon Elastic Compute Cloud's (Amazon EC2) instances P5 powered by NVIDIA Tensor core GPUs and P5e or P5en instances powered NVIDIA Tensor core GPUs provide the best performance in Amazon EC2 when it comes to deep learning and high-performance applications. They can help you accelerate the time to solution up to four times compared to older GPU-based EC2 instance generation, and reduce costs to train ML models up to forty percent. These instances allow you to iterate faster on your solutions and get them to market quicker. You can use P5,P5e,and P5en instances to train and deploy increasingly complex large language and diffusion models that power the most demanding generative artificial intelligent applications. These applications include speech recognition, video and image creation, code generation and question answering. These instances can be used to deploy HPC applications for pharmaceutical discovery.
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    Amazon EC2 UltraClusters Reviews
    Amazon EC2 UltraClusters allow you to scale up to thousands of GPUs and machine learning accelerators such as AWS trainium, providing access to supercomputing performance on demand. They enable supercomputing to be accessible for ML, generative AI and high-performance computing through a simple, pay-as you-go model, without any setup or maintenance fees. UltraClusters are made up of thousands of accelerated EC2 instance co-located within a specific AWS Availability Zone and interconnected with Elastic Fabric Adapter networking to create a petabit scale non-blocking network. This architecture provides high-performance networking, and access to Amazon FSx, a fully-managed shared storage built on a parallel high-performance file system. It allows rapid processing of large datasets at sub-millisecond latency. EC2 UltraClusters offer scale-out capabilities to reduce training times for distributed ML workloads and tightly coupled HPC workloads.
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    AWS Elastic Fabric Adapter (EFA) Reviews
    Elastic Fabric Adapter is a network-interface for Amazon EC2 instances. It allows customers to run applications that require high levels of internode communication at scale. Its custom-built OS bypass hardware interface improves the performance of interinstance communications which is crucial for scaling these applications. EFA allows High-Performance Computing applications (HPC) using the Message Passing Interface, (MPI), and Machine Learning applications (ML) using NVIDIA's Collective Communications Library, (NCCL), to scale up to thousands of CPUs and GPUs. You get the performance of HPC clusters on-premises, with the elasticity and flexibility on-demand of AWS. EFA is a free networking feature available on all supported EC2 instances. Plus, EFA works with the most common interfaces, libraries, and APIs for inter-node communication.
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    Bayesforge Reviews

    Bayesforge

    Quantum Programming Studio

    Bayesforge™ is a Linux image that curates all the best open source software available for data scientists who need advanced analytical tools as well as quantum computing and computational math practitioners who want to work with QC frameworks. The image combines open source software such as D-Wave and Rigetti, IBM Quantum Experience, Google's new quantum computer language Cirq and other advanced QC Frameworks. Qubiter, our quantum compiler and fog modeling framework can be cross-compiled to all major architectures. The Jupyter WebUI makes all software accessible. Its modular architecture allows users to code in Python R and Octave.
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