VESSL AI provides a platform for operationalizing AI and large language models (LLMs).

VESSL AI

Build, train, and deploy models faster at scale with fully managed infrastructure, tools, and workflows.

Spring Camp

TIPS Program

Mirae Asset Venture Investment

AVentures Capital

d.ventures

KB Investment

[MLOps Now 7월 서울 밋업 — LLM in Production 발표 자료 및 발표 세션 공유]

지난 7월 24일, VESSL AI에서는 Weaviate 와 파트너십을 진행하며, "MLOps Now — LLM in Production" 행사를 진행했었는데요 :) 많은 분들이 관심을 가져주신 덕분에 이번 행사도 성황리에 마무리될 수 있었습니다.

이번 세미나에서의 발표의 경우 그 어느 때의 MLOps Now 세션 보다도 훨씬 더 열기가 뜨거웠습니다 :) 많은 분들께 도움이 되고자, 세미나 세션을 다시 확인하실 수 있는 유튜브 링크와 발표 자료를 공유드리오니 참고 부탁드립니다 !
➡ 발표 자료 : https://shorturl.at/caiJy
➡ 유튜브 링크 : https://lnkd.in/gdW8AdrB

추후에도 저희 VESSL AI는 미국과 서울에서 다양한 주제의 MLOps Now 밋업을 통해 찾아뵙겠습니다. 바쁜 와중에도 귀한 발걸음 해 주신 여러분께 다시 한번 감사드립니다.

⚡ Introducing VESSL AI’s Serverless Mode!

We’re excited to launch Serverless Mode—a game-changer for scaling your ML models with cost efficiency and ease. No more worrying about infrastructure; our Serverless Mode scales to zero when not in use, saving you both time and money.

💡 Key Highlights:

• Cost Efficiency: Pay only for what you use with scale-to-zero.
• Automatic Scaling: Real-time scaling based on demand.
• Hassle-Free Deployment: Simplified setup for all users.
• High Availability: Reliable and resilient.

🔧 Ready to streamline your ML workflows? 

Try Llama 3.1 with Serverless Mode now (https://app.vessl.ai/), and check out the demo video on our YouTube channel (https://lnkd.in/gXmfxW9P).

Dive into the details and start building with Serverless Mode today! 👉 https://lnkd.in/gKcZds5X

#MLOps #Serverless #MachineLearning #AI #VESSLAI

Don't miss this Al product meetup—"LLMs in Production" that we're hosting with Pinecone! 🚀

Join us to explore cutting-edge technologies and experience the latest trends in Production LLMs.

Let's shape the future of Al together!
#AI #LLM #VessIAl #Pinecone

Join VESSL AI x Pinecone at our SF Meetup “LLMs in Production”

We'll talk about context-augmented LLMs, custom LLMs, serverless deployment, and more with top experts from Pinecone, VESSL AI, Snowflake, Koyeb and LlamaIndex

Speakers: Roie Schwaber-Cohen, Jaeman An, Yann Leger, Anupam Datta, and Laurie Voss

Apply to join: https://hubs.ly/Q02LChxX0

Our CEO, Jaeman An, shared VESSL AI's ambitious plans for expanding into the US market with The Korea Economic Daily! 🌟  Stay tuned for more exciting updates! 💼 #VESSLAI #MLOps #AI #LLMOps #LLM #Machinelearning

🌟 Join Intae Ryoo, Co-founder & CPO of VESSL AI, in his enlightening talk on deploying enterprise-scale LLM pipelines. 
📺 Watch the Full Video: https://lnkd.in/dUT4-iGQ

🌟 Big Update! Our new landing page at VESSL AI is now live! 🌟 

Featuring an interactive Arcade showcasing #VESSLHub to #VESSLRun workflows, refreshed design assets, it’s optimized for all devices. 
Experience improved seamless transitions from landing to sign-up : https://vessl.ai
 #LLMOps #MLOps #AI #VESSLAI

🚀 Excited to introduce VESSL Serve's new Serverless mode! 🎉
Check out our latest YouTube video where we dive into how to deploy ML models efficiently without the hassle of infrastructure management.

🌟 Watch the video here: https://lnkd.in/g8T73VEv
#MachineLearning #AI #Serverless #llm #llminproduction

Hello #Korea! Bob van Luijt, Founder/CEO of Weaviate, will be speaking at our very first meetup in #Seoul on July 24th in partnership with VESSL AI . Don't miss out on this opportunity! Check out more details and register here: https://lu.ma/ozru75oa. #AINative #genai #stack #llm #rag. Come by and say hello if you are there in person

안녕하세요. VESSL AI 입니다.
<VESSL AI>와 Vector DB으로 유명한 실리콘벨리 LLMOps 대표 스타트업 <Weaviate>가 뭉칩니다. VESSL AI, Weaviate, SAMSUNG SDS, Liner 네 팀이 각자의 서비스를 기반으로 fine-tuning, RAG, prompt engineering 등 LLM 개발에 적용되는 주요 기법 소개할 예정입니다 :) 많은 관심 부탁드립니다.

✔ 일시 — 2024년 7월 24일 (수) 오후 2시~6시
✔ 장소 — 모두의연구소 강남캠퍼스 (https://naver.me/FslREXGR)

✔ 발표 내용 및 연사
(14:00 - 14:30) Building AI-native applications with Weaviate
- Bob van Luijt, Co-founder & CEO, Weaviate
(14:30 - 15:00) LLMOps에서 AGI까지 — 산업별 2024년 최신 사례
- Jaeman An (안재만), Co-founder & CEO, VESSL AI
(15:00 - 15:30) What if...? 처음부터 다시 LLM 어플리케이션을 개발한다면
- Hoon Heo (허훈), Tech Lead, Liner
(15:30 - 16:00) AI 연구를 위한 GPU Platform 기술 소개
- SEUNGHOON HA (하승훈), 삼성 SDS, 컴퓨팅시스템연구Lab장
(16:00 - 16:30) Networking Session

🔔  행사 신청하기 → https://lu.ma/ozru75oa

Domain Not Resolving

jsDelivr

CrUX Dataset

CrUX Top 50m

Amazon CloudFront

Fastly Hosted

Fastly

Fastly Load Balancer

Varnish

GitHub Hosting

COO & Co-Founder

Dami Yi

CEO, Founder

Jaeman An

Intae Ryoo

CPO, Co-Founder

Jihwan (Jay) Chun

CTO, Co-Founder

Yongseon Lee

Tech Lead, Co-Founder

California Software Companies (Top 10K)

Private San Francisco Bay Area Companies (Top 10K)

San Francisco Bay Area Startups (Top 10K)

Private Western US Companies (Top 10K)

VESSL AI enables machine learning teams to develop state-of-the-art models at scale without the complex and repetitive process of setting up pipelines and infrastructures.

In addition to a centralized dashboard and workflow management, VESSL AI offers enterprise-grade infrastructure equipped with automated resource provisioning, and powerful training modes with automated hyperparameter optimization and multi-node distributed training.

A Ventures

Series A - VESSL AI

Seed Round - VESSL AI

Pre Seed Round - VESSL AI

San Mateo

California

United States

North America

VESSL AI secures $12M for its MLOps platform that aims to cut GPU costs by up to 80%

Dnotitia Announces Strategic MOU with VESSL AI to Pioneer Next-Generation AI Innovation

MLOps startup Vessl AI eyes 50% sales from US in 2025

Jaeman An on LinkedIn: MLOps Now — Deploying LLMs by VESSL AI · Luma

VESSL AI showcases 10 highlights from NeurIPS | VESSL AI posted on the topic

A platform for launching, training, and deploying machine learning models on any cloud, with support for various models including Llama 2 and Stable Diffusion.

Automates ML workflows into CI/CD pipelines for scaling ML tasks, from data processing to A/B testing, across multiple clusters.

Provides visibility across the ML lifecycle with features for tracking workloads, logging metrics, and sharing repositories and dashboards.

Custom pipeline development services tailored to specific business needs, leveraging VESSL's ML and MLOps expertise.

Services for team onboarding and technical integration support, ensuring smooth adoption of VESSL's platform.

Consultation and support for optimizing data infrastructure and cloud or on-prem clusters for reliability and cost.

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