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VESSL AI

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Published in

VESSL AI

·Pinned

Introducing VESSL Run: a unified YAML interface for running any AI models

VESSL Run makes fine-tuning and scaling the latest open-source models easier than ever — Today, we are releasing VESSL Run, the easiest way to train, fine-tune, and scale open-source AI/ML models. VESSL Run simplifies the complex compute backends and system details required to run off-the-shelf models into a unified YAML interface. …

Mlops

5 min read

Introducing VESSL Run: a unified YAML interface for running any AI models
Introducing VESSL Run: a unified YAML interface for running any AI models
Mlops

5 min read


Sep 8

Unveiling VESSL Run: Bringing Unified Interfaces and Reproducibility to Machine Learning

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? …

Machine Learning

4 min read

Unveiling VESSL Run: Bringing Unified Interfaces and Reproducibility to Machine Learning
Unveiling VESSL Run: Bringing Unified Interfaces and Reproducibility to Machine Learning
Machine Learning

4 min read


Jul 21

Build a Stable Diffusion playground app with VESSL Run and Streamlit

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…

Artificial Intelligence

6 min read

Build a Stable Diffusion playground app with VESSL Run and Streamlit
Build a Stable Diffusion playground app with VESSL Run and Streamlit
Artificial Intelligence

6 min read


Jun 30

10 Highlights from CVPR 2023

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. Following this, the core conference dominated…

9 min read

10 Highlights from CVPR 2023
10 Highlights from CVPR 2023

9 min read


Published in

VESSL AI

·Jun 21

Run CVPR 2023 highlights with VESSL Run

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…

Artificial Intelligence

8 min read

Run CVPR 2023 highlights with VESSL Run
Run CVPR 2023 highlights with VESSL Run
Artificial Intelligence

8 min read


Published in

VESSL AI

·Apr 27

Introducing tvault: a lightweight local registry for storing and comparing PyTorch models

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. …

Mlops

4 min read

Introducing tvault: a lightweight local registry for storing and comparing PyTorch models
Introducing tvault: a lightweight local registry for storing and comparing PyTorch models
Mlops

4 min read


Published in

VESSL KR

·Jan 13

VESSL을 통해 머신러닝 연구 인프라 환경을 획기적으로 개선한 서울대학교

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

6 min read

VESSL을 통해 머신러닝 연구 인프라 환경을 획기적으로 개선한 서울대학교
VESSL을 통해 머신러닝 연구 인프라 환경을 획기적으로 개선한 서울대학교

6 min read


Published in

VESSL KR

·Jan 12

머신러닝을 위한 하이브리드 클러스터 구축

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 …

AI

12 min read

VESSL을 이용해 커맨드 한줄로 하이브리드 머신러닝 인프라를 구축하는 방법
VESSL을 이용해 커맨드 한줄로 하이브리드 머신러닝 인프라를 구축하는 방법
AI

12 min read


Published in

VESSL AI

·Jan 9

Hybrid Cloud for ML, Simplified

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…

AI

9 min read

Hybrid Cloud for ML, Simplified
Hybrid Cloud for ML, Simplified
AI

9 min read


Published in

VESSL AI

·Jan 3

Seoul National University accelerates ML for MRI research with an open competition using VESSL

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

AI

5 min read

Seoul National University accelerates ML for MRI research with an open competition using VESSL
Seoul National University accelerates ML for MRI research with an open competition using VESSL
AI

5 min read

VESSL AI

VESSL AI

51 Followers

MLOps for high-performance ML teams

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