Tag : backend.ai

  • Backend.AI Installation Tutorial - 1

    By Jongmin Kim

    25 June 2024

  • Backend.AI Installation Tutorial - 2

    By Jongmin Kim

    25 June 2024

  • Slipstream: How to Win the AI Race - Jeongkyu Shin (Keynote 1)

    By Jeongkyu Shin

    With the proliferation of generative AI, prohibitive development and adoption costs are becoming a major barrier to AI democratization. How can we lower the cost threshold and increase efficiency and ease of use when using or developing deep learning-based solutions? We introduce Slipstreaming, an approach from Rableup and Backend.AI to achieve massive performance and efficiency while standing on the shoulders of giants and masking all complexity.

    About the presenter

    - CEO, Lablup

    - ML/DL Google Developers Expert

    - Ph.D in Statistical Physics (complex systems / neuroscience) at POSTECH

    29 November 2023

  • Screaming AI from somewhere between hardware and software - Joongi Kim (Keynote 2)

    By Joongi Kim

    A look back at the design philosophy and evolution of Backend.AI from an idea to provide a reproducible computational environment for researchers to an AI development and services platform for large enterprises. We explore why we made different choices than other similar products in the industry, and how those choices have delivered value to Lablup's business and customers.

    About the Presenter

    - Ph.D., Computer Science, KAIST (High Performance Network Systems)

    - Open source ecosystem contributor including Python (CPython, aiomonitor, aiohttp, aiodocker, pyzmq, DPDK, iPuTTY, etc.)

    29 November 2023

  • [Track1_1] Backend.AI Enterprise Customer Support ABC - Jonghyun Park (Lablup)

    By Jonghyun Park

    Backend.AI's enterprise support services mean an ongoing partnership with you, not just a product installation. From scheduling the installation, we work closely with your sales and devops teams to provide customized installation and service optimization. After the installation is complete, we provide ongoing support that is responsive to customer feedback and needs, starting with user guide sessions. This presentation will provide an introduction to how we interact with Backend.AI enterprise customers.

    About the presenter

    - Director of Research, Lablup

    - Ph.D., Department of Forensic Physics (Single Molecule Biophysics)

    29 November 2023

  • [Track1-2] Changing UI/UX Design: Problem Recognition and New Directions - Sujin Kim (Lablup)

    By Sujin Kim

    We will analyze the main problems with the existing WebUI and where the user experience needs to be improved. We'll discuss why the problems need to be solved, what needs to change and how to improve them, and how the UI/UX has changed, with a particular focus on the session launcher UI/UX. Finally, we'll make some predictions about how WebUIs will change in the future.

    About the presenter

    - Software Engineer, Lablup

    29 November 2023

  • [Track1-3] GenAI on Backend.AI- Kyujin Cho (Lablup)

    By Kyujin Cho

    Backend.AI's powerful giant AI model development technology is meeting GenAI to create the ultimate AI service capability. This session will introduce how the model serving capabilities introduced in Backend.AI 23.09 have been extended to the operational side of GenAI, in terms of technology, convenience, and fate resource savings. This will be a session that will inspire you with the many innovations that can be created by combining efficient operation of GPU resources with automation of GenAI services and fine-tuning.

    About the presenter

    -Software Engineer, Lablup

    29 November 2023

  • [Track1-4_1] How developers collaborate with octocat without a planner - Jihyun Kang (Lablup)

    By Jihyun Kang

    Lablup doesn't have a planner position, but we're still releasing a lot of products and new features, including Backend.AI. We'll talk about the many trials and errors that led us to use GitHub, a platform that developers are familiar with. In particular, we'll talk about how we ended up using GitHub Projects, how most of our development infrastructure is open source, when we tried to adopt Jira and why we stopped, and the underlying issues of scaling the company. We'll also talk about how we use the most important GitHub Projects, their shortcomings, and how we're using GitHub Actions and Labels to solve them.

    About the presenter

    - Software Engineer, Lablup

    29 November 2023

  • [Track1-4_2]How developers collaborate with octocat without planners - Sion Kang (Lablup)

    By Sion Kang

    Lablup doesn't have a planner position, but we're still releasing a lot of products and new features, including Backend.AI. We'll talk about the many trials and errors that led us to use GitHub, a platform that developers are familiar with. We'll cover how we came to use GitHub Projects, how most of our development infrastructure is open source, when we tried to adopt Jira and why we stopped, and the scaling issues of our company. We'll also talk about how we use the most important GitHub Projects, their shortcomings, and how we use GitHub Actions and Labels to solve them.

    About the presenter

    - Software Engineer, Lablup
    - GitHub Campus Expert

    29 November 2023

  • [Track2-6] Support for high-speed NFS storage integration - Sang Hun Lee (Lablup)

    By Sang Hun Lee

    High-speed storage is often used to train AI with large amounts of data or to quickly deploy AI models. Backend.AI supports a lot of high-speed storage, and I'd like to share how I worked on integrating vast data storage.

    About the presenter

    - Software Engineer, Lablup

    29 November 2023

  • [Track2-7] Backend.AI and AI Semiconductors - Sanghyeon Seo (Lablup)

    By Sanghyeon Seo

    We'll look at the accelerator plugin structure of Backend.AI, the accelerator plugins developed to date (Mock, CUDA, CUDA Enterprise, ROCm, TPU, IPU, ATOM, Warboy), additional accelerator plugins currently in development (SAPEON, HyperAccel), and discuss what needs to be done on the AI semiconductor side.

    About the presenters

    - Software Engineer, Lablup

    29 November 2023

  • Sokovan Container Orchestrator for Accelerated AI:ML Workloads and Massive scale GPU Computing

    By Jeongkyu Shin, Joongi Kim

    Sokovan is a Python-based container orchestrator that addresses the challenges of running resource-intensive batch workloads in a containerized environment. It offers acceleration-aware, multi-tenant, batch-oriented job scheduling and fully integrates multiple hardware acceleration technologies into various system layers. It consists of two layers of schedulers. The cluster-level scheduler allows users to customize job placement strategies and control the density and priority of workloads. The node-level scheduler optimizes per-container performance by automatically detecting and mapping underlying hardware accelerators to individual containers, improving the performance of AI workloads compared to Slurm and other existing tools. Sokovan has been deployed on a large scale in various industries for a range of GPU workloads, including AI training and services. It helps container-based MLOps platforms unleash the potential of the latest hardware technologies.

    Speakers:
    Jeongkyu Shin
    Joongi Kim

    30 June 2023

  • Beyond AI

    By Jeongkyu Shin

    Beyond AI - Jeongkyu Shin

    Context

    • We will share with many people the perspectives of developers, researchers, and platform company representatives about the changes in the deep learning field over the past two years and the changes that will occur over the next two years.

    Speaker

    • CEO, Lablup
    • ML/DL Google Developers Expert
    • POSTECH Doctor of Physics (Complex Systems Physics/Computational Brain Science)

    1 December 2022

  • [Naver Cloud] Hiperscale Enterprise AIOps Platform, Backend.AI

    By Joongi Kim

    Backend.AI is a deep learning platform that helps execute artificial intelligence model development and high-performance computing by efficiently utilizing cloud and data center computing resources.

    It uses GPU partitioning virtualization for containers to create an orchestration layer optimized for high-density, highly integrated workloads, enabling the execution of large-scale computational workloads.

    This presentation will guide you through the development background of Backend.AI, its technical features and advantages, and how you can utilize Backend.AI on the Naver Cloud Platform.

    13 July 2022

  • [TalkIT] Why is MLOps Necessary, and What Does it Consist of? feat. 2022 MLOps Ecosystem Trends

    By Joongi Kim, Jeongkyu Shin
    • 00:00 Participation in NVIDIA GTC2022 MLOps Panel Talk
    • 01:53 Lablup's Competitiveness in MLOps
    • 03:59 Why MLOps is Necessary
    • 07:04 Orchestrator
    • 08:43 Distributed/Parallel Processing Tools
    • 09:57 MLOps Modules (General, Serving)
    • 11:23 Open Source MLOps Operation Tools
    • 12:14 MLOps Issues in 2022

    8 April 2022

  • [TalkIT] MLOps Ecosystem 2022 Outlook and Practical Roadmap for Hyperscale AI Acceleration with Backend.AI

    By Joongi Kim, Jeongkyu Shin

    The key to accelerating AI development and deployment processes is MLOps. We invite you to explore the MLOps software platform ecosystem that manages the entire process from data collection and processing, AI model training, to AI services. Additionally, we'll introduce you to a more evolved hyperscale AI practical roadmap through the MLOps ecosystem integration of Backend.AI, the first NVIDIA DGX-Ready Software in the Asia-Pacific region.

    [Session Guide]

    • MLOps Ecosystem and 2022 Outlook / Jeongkyu Shin, CEO (Lablup)
    • Accelerating Hyperscale AIOps with Backend.AI / Joongi Kim, CTO (Lablup)

    7 April 2022

  • [MS Dev Korea] - Exploring GitHub Codespaces and Devcontainers | Azure One Step

    By Kyujin Cho

    Instead of setting up and configuring a development environment for application development each time, you can use GitHub Codespaces to access the same Visual Studio Code-based development environment in your web browser. At this time, Devcontainers allow developers to easily set up the development environment as intended. We will explore GitHub Codespaces and Devcontainers with a demo from developer Kyujin Cho from the Lablup startup.

    6 April 2022

  • [allshow TV] Backend.AI MLOps Platform for NetApp ONTAP AI, the Platform for NVIDIA DGX Foundry, and Hyperscale AI Infrastructure

    By Jeongmook Kim

    (1) We'll examine why NetApp ONTAP AI was chosen as the foundational platform from NVIDIA DGX POD certification to DGX Foundry. We'll also take a brief look at successful cases including TOP500 #72 and public cloud services.

    (2) Through Backend.AI, the only NVIDIA DGX-Ready Software in the Asia-Pacific region, we'll explore how to optimally operate hyperscale AI infrastructure that includes computational resources like GPUs, storage, and networks.

    Additionally, we'll discover how to effectively build and manage AI services at the enterprise level, along with customer case studies.

    17 March 2022

  • Exploring the Open Source Contribution Process through CPython and Backend.AI

    By Joongi Kim

    We discuss what aspects to consider and be mindful of in the process of contributing to and managing open source projects, drawing from experiences on both sides: as a company directly creating and operating open source projects, and as an external contributor.

    30 November 2021

  • Backend.AI Tutorial_03

    By Lablup

    Backend.AI for Beginners: Getting Started with Backend.AI_03
    ○ Tour the Backend.AI cloud
      - Import & Run page 
        Import notebook panel
        Create notebook launch button panel
        Import GitHub repository contents panel
      - Data & Folders page 
        Explore folder controls
            - Create a folder
            - Viewing folder information
            - Utilizing folders
            - Sharing a folder
            - Renaming a folder
            - Deleting a folder
     Auto-Mount Folders tab
            - Creating an AutoMount Folder
            - Creating a session without mounting folders and viewing automount folders
      - Statistics page 
        Daily usage statistics
        Weekly usage statistics

    ✉️ : contact@lablup.com

    8 May 2021

  • Backend.AI Tutorial_04

    By Lablup

    Backend.AI_04 for beginners to get started
    Check the Backend.AI version
    Changing user information
    Touching user settings
      - General
        Desktop notifications
        Concise sidebar default usage options
        Language settings
        SSH key pair management (see link below)
        Option to check automatic updates
        Enable/disable automatic logout
        Set shell script preferences
      - Logs
        * View logs
        Refresh logs
        Delete logs
    FAQ & Troubleshooting
      - Running Jupyter notebook in a session ends with a kernel error.
      - I forgot my password.
      - I can't log in even though I entered the password correctly.
      - Other things to note

    ✉️ : contact@lablup.com

    3 May 2021

  • Backend.AI Tutorial_02

    By Lablup

    Backend.AI for Beginners: Getting Started with Backend.AI_02 
    ○ Tour the Backend.AI cloud
      -Summary page 
        Start panel 
        Resource Live View 
        System resources 
        Announcements 
        Invitations folder
      -Session (Session) page 
        Session Status 
        Running sessions 
            - App Launcher 
            - Web Terminal 
        Ended sessions 
            - In-session 
            - Usage time

    ✉️ : contact@lablup.com

    18 March 2021

  • Backend.AI Tutorial_01

    By Lablup

    Backend.AI Tutorial_01
    -What is Backend.AI? 
    -Signing up for the Backend.AI cloud
    -Logging in to the Backend.AI cloud

    If you have any questions or problems signing up, please send it to the email address below, including your email name and email account when signing up, and we will reply after checking. 
    ✉️ : contact@lablup.com

    11 March 2021

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