Machine learning (ML) is an ever-evolving landscape, with new models and techniques emerging on a daily basis. While this progress is exciting, it poses a challenge: How do you know if a specific ML model is suitable for your business needs? …

Learn how to quickly create GPU-accelerated AI/ML apps and inference services — Building a web-based AI services can be a challenge as the machine learning engineers who worked on the models are often unfamiliar with the infrastructure and interface layer of the app. In this tutorial, we’ll explore how the combination of VESSL Run and Streamlit help you quickly prototype and deploy…

Growth, innovation, emerging trends in AI, and upcoming challenges — 0. Vancouver Played Host to CVPR 2023 In the scenic embrace of Vancouver, the highly-anticipated CVPR 2023, Computer Vision and Pattern Recognition, is held from June 18th to 22nd with many luminaries and attendees. The event kicked off with two days of engaging workshops and tutorials on the 18th and 19th. …

Run CVPR 2023 highlight models and papers with a single YAML file — If you tried to run GitHub or Colab codes from the top AI/ML conferences like NeurIPS, CVPR, ICML, and ICCV, you soon realize that most of them don’t work. You have to spend hours just to configure CUDA, Python dependencies. We created VESSL Run to help ML researchers and data…

TL;DR As part of VESSL’s mission to build modern infrastructure, tools, and workflows for machine learning, today we are releasing tvault. tvault is a local model registry designed to help academic researchers in ML iterate their models faster without logging overheads. …

Overview VESSL Run을 이용함으로써 서울대학교 fastMRI 챌린지에 참가자들은 학습 인프라 걱정 없이 모델 개발에만 집중할 수 있었습니다.

이번 글에서는 클라우드와 온프레미스 환경에서 머신러닝 모델을 학습할 때의 장단점를 얘기하고, 대규모 GPU 인프라를 VESSL과 연동하여 쉽게 머신러닝 플랫폼을 구축하는 방법을 설명합니다. 머신러닝 인프라 — 클라우드 vs. 온프레미스 모델 학습을 위한 머신러닝 플랫폼 구축은 머신러닝 기반 서비스 운용에 있어 가장 중요하지만 번거로운 과정 중 하나입니다. 최 …

Set up a hybrid ML infrastructure with a single-line command with VESSL Clusters — In this tutorial, we will set up a hybrid ML infrastructure using VESSL Clusters. We will also share the common challenges that ML teams face as they make the transition to hybrid cloud and the motivation behind this recent trend. By the end of this tutorial, you will be able…

Overview With VESSL Run, the participants at SNU fastMRI Challenge can focus on building state-of-the-art MRI reconstruction models