6 Integrations with Torch

View a list of Torch integrations and software that integrates with Torch below. Compare the best Torch integrations as well as features, ratings, user reviews, and pricing of software that integrates with Torch. Here are the current Torch integrations in 2026:

  • 1
    Slack

    Slack

    Salesforce

    Slack is a work collaboration platform that brings people, apps, data, and AI agents together in one shared workspace. It helps teams communicate through channels, direct messages, huddles, Slack Connect, files, canvases, lists, workflows, and integrations. The platform includes Slackbot, a context-aware AI agent that can summarize conversations, search across messages and files, prepare users for meetings, analyze documents, and help complete tasks without leaving Slack. Slack also supports connected apps such as Salesforce, Google Drive, GitHub, Zoom, Asana, Box, Workday, ChatGPT, and many others. Teams can use Workflow Builder to automate stand-ups, project updates, approvals, notifications, and routine business processes. With enterprise search, AI assistance, secure collaboration, and a large integration ecosystem, Slack helps organizations stay aligned, move faster, and reduce work scattered across disconnected tools.
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    Starting Price: $8.75/user/month
  • 2
    Zoom

    Zoom

    Zoom Communications

    Enterprise video conferencing with real-time messaging & content sharing with Zoom Meetings & Chat. Simplified video conferencing and messaging across any device. Enable quick adoption with meeting capabilities that make it easy to start, join, and collaborate across any device. Zoom Meetings syncs with your calendar system and delivers streamlined enterprise-grade video conferencing from desktop and mobile. Enable internal and external communications, all-hands meetings, and trainings through one platform. Bring HD video and audio to your meetings with support for up to 1000 video participants and 49 videos on screen. Multiple participants can share their screens simultaneously and co-annotate for a more interactive meeting. End-to-end encryption for all meetings, role-based user security, password protection, waiting rooms, and place attendee on hold. Record your meetings locally or to the cloud, with searchable transcripts. Zoom also offers a HIPAA compliant plan for healthcare.
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    Starting Price: $14.99 per user per month
  • 3
    Google Calendar
    Google Calendar is an AI-powered online calendar platform designed to help individuals and teams schedule events, organize tasks, and manage time more efficiently. The platform integrates seamlessly with Google Workspace applications such as Gmail, Meet, and Tasks, allowing users to coordinate meetings, track responsibilities, and manage schedules from one centralized location. Google Calendar includes AI-powered scheduling tools through Gemini that help users quickly find meeting times, add events from emails, and simplify appointment booking. Users can share calendars, attach files to events, set working hours and locations, and collaborate with teams more effectively across projects and meetings. The platform also supports automatic reminders, task synchronization, multiple calendar views, and video conferencing integration with Google Meet for smoother communication and planning.
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    Starting Price: $0
  • 4
    Ant Download Manager (AntDM)
    Ant Download Manager (AntDM) is a quick download manager for any Internet file, that fully integrates with all popular browsers. AntDM allows to download free streaming video and audio from numerous websites and supports P2P peer-to-peer protocol. AntDM supports downloading files from the most popular premium link generators. Ant Download Manager (AntDM) is a tool that allows you to repeatedly increase the speed of file downloads due to multiple download streams, resume, schedule downloads, and capture and download audio and video streams. Automatically processes download errors, recovers from temporary network errors, reconnects in case of server response delays and has the ability to resume interrupted downloads due to loss of connection, network problems, computer shutdown, or unexpected power outages. Has download queues, which allows you to accumulate download links at a convenient or scheduled time for the user.
    Starting Price: $11.95 one-time payment
  • 5
    NVIDIA DIGITS

    NVIDIA DIGITS

    NVIDIA DIGITS

    The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting the best performing model from the results browser for deployment. DIGITS is completely interactive so that data scientists can focus on designing and training networks rather than programming and debugging. Interactively train models using TensorFlow and visualize model architecture using TensorBoard. Integrate custom plug-ins for importing special data formats such as DICOM used in medical imaging.
  • 6
    Fabric for Deep Learning (FfDL)
    Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have contributed to the popularity of deep learning by reducing the effort and skills needed to design, train, and use deep learning models. Fabric for Deep Learning (FfDL, pronounced “fiddle”) provides a consistent way to run these deep-learning frameworks as a service on Kubernetes. The FfDL platform uses a microservices architecture to reduce coupling between components, keep each component simple and as stateless as possible, isolate component failures, and allow each component to be developed, tested, deployed, scaled, and upgraded independently. Leveraging the power of Kubernetes, FfDL provides a scalable, resilient, and fault-tolerant deep-learning framework. The platform uses a distribution and orchestration layer that facilitates learning from a large amount of data in a reasonable amount of time across compute nodes.
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