Anyscale | Scalable Compute for AI and Python
Anyscale | Scalable Compute for AI and Python이란 무엇인가요?
Anyscale은 Ray를 사용하여 확장 가능한 AI와 파이썬 애플리케이션을 개발, 배포 및 관리하기 쉽게하는 통합 컴퓨팅 플랫폼입니다.
Anyscale | Scalable Compute for AI and Python을 어떻게 사용하나요?
서빙 및 Anyscale 엔드포인트를 사용하여 오픈 소스 LLMs를 세밀하게 조정하는 방법 알아보기!
Anyscale | Scalable Compute for AI and Python의 핵심 기능
Anyscale 엔드포인트
Anyscale 개인 엔드포인트
Anyscale 플랫폼
Ray 오픈 소스
Anyscale | Scalable Compute for AI and Python의 사용 사례
LLM 인프라
생성 기반 AI
컴퓨터 비전
Anyscale | Scalable Compute for AI and Python의 FAQ
왜 Anyscale을 선택해야합니까?
Anyscale의 주요 기능은 무엇인가요?
Anyscale의 인기 있는 사용 사례는 무엇인가요?
Anyscale 엔드포인트에서 오픈 소스 LLMs를 세밀하게 조정할 수 있나요?
Anyscale은 대규모 워크로드를 확장하여 실행하기에 적합한가요?
Anyscale 엔드포인트를 자체 클라우드 환경에 배포할 수 있나요?
Anyscale | Scalable Compute for AI and Python 지원 이메일 및 고객 서비스 연락처 및 환불 연락처 등
더 많은 문의사항이 있으면 문의하기 페이지(https://www.anyscale.com/contact)를 방문하세요.
Anyscale | Scalable Compute for AI and Python 회사
Anyscale | Scalable Compute for AI and Python 회사 이름: Anyscale, Inc .
Anyscale | Scalable Compute for AI and Python에 대해 자세히 알아보려면 회사 소개 페이지(https://www.anyscale.com/about)를 방문하세요. .
Anyscale | Scalable Compute for AI and Python Facebook
Anyscale | Scalable Compute for AI and Python Facebook 링크: https://www.facebook.com/AnyscaleCompute
Anyscale | Scalable Compute for AI and Python Linkedin
Anyscale | Scalable Compute for AI and Python Linkedin 링크: https://www.linkedin.com/company/joinanyscale
Anyscale | Scalable Compute for AI and Python Twitter
Anyscale | Scalable Compute for AI and Python Twitter 링크: https://twitter.com/anyscalecompute
Anyscale | Scalable Compute for AI and Python Github
Anyscale | Scalable Compute for AI and Python Github 링크: https://github.com/anyscale
Anyscale | Scalable Compute for AI and Python 리뷰(0)
Anyscale | Scalable Compute for AI and Python 분석
Anyscale | Scalable Compute for AI and Python 웹사이트 트래픽 분석
지리적 트래픽
상위 5지역
Anyscale | Scalable Compute for AI and Python 삽입 실행
웹사이트 배지를 사용하여 커뮤니티에서 Toolify Launch에 대한 지원을 유도하세요. 홈페이지나 바닥글에 쉽게 삽입할 수 있습니다.
Anyscale | Scalable Compute for AI and Python의 대안
Anyscale | Scalable Compute for AI and Python 비교
Anyscale | Scalable Compute for AI and Python에 대한 추가 콘텐츠
13 개의 Python 코드 스니펫으로 AI 어시스턴트를 고속화하세요.
작성자: Emmett 님의 글 7월 05 2024
지금 당신은 언어 번역 보조 프로그램입니다. "Boost Your AI Assistant with 13 Powerful Python Code Snippets - Toolify AI! Discover the Secrets Now!"라는 내용을 한국어로 올바르게 표현해주세요.
소셜 리스닝
Marc Andreessen on AI, Geopolitics, and the Regulatory Landscape | Ray Summit 2024
Marc Andresseen is the co-founder of Andressen Horowitz. In this interview, Marc dives deep into how AI will reinvent almost every product category we understand today and has the potential to reshape geopolitics, biology, and defense. Throughout the chat, Andreessen and Nishihara explore the technical challenges ahead, including the policy landscape, fights to outlaw open source AI, and lessons from Europe's history of technology innovation and regulation. -- Liked this video? Watch the full Day 1 Keynote: https://www.youtube.com/watch?v=jwZHJthQvXo or check out the Ray Summit breakout session recordings! -- 🔗 Connect with us: - Subscribe to our YouTube channel: https://www.youtube.com/@anyscale - Twitter: https://x.com/anyscalecompute - LinkedIn: https://linkedin.com/company/joinanyscale/ - Website: https://www.anyscale.com
Fast LLM Serving with vLLM and PagedAttention
LLMs promise to fundamentally change how we use AI across all industries. However, actually serving these models is challenging and can be surprisingly slow even on expensive hardware. To address this problem, we are developing vLLM, an open-source library for fast LLM inference and serving. vLLM utilizes PagedAttention, our new attention algorithm that effectively manages attention keys and values. vLLM equipped with PagedAttention achieves up to 24x higher throughput than HuggingFace Transformers, without requiring any model architecture changes. vLLM has been developed at UC Berkeley and deployed for Chatbot Arena and Vicuna Demo for the past three months. In this talk, we will discuss the motivation, features, and implementation of vLLM in depth, and present our future plan. About Anyscale --- Anyscale is the AI Application Platform for developing, running, and scaling AI. https://www.anyscale.com/ If you're interested in a managed Ray service, check out: https://www.anyscale.com/signup/ About Ray --- Ray is the most popular open source framework for scaling and productionizing AI workloads. From Generative AI and LLMs to computer vision, Ray powers the world’s most ambitious AI workloads. https://docs.ray.io/en/latest/ #llm #machinelearning #ray #deeplearning #distributedsystems #python #genai
Fast LLM Serving with vLLM and PagedAttention
LLMs promise to fundamentally change how we use AI across all industries. However, actually serving these models is challenging and can be surprisingly slow even on expensive hardware. To address this problem, we are developing vLLM, an open-source library for fast LLM inference and serving. vLLM utilizes PagedAttention, our new attention algorithm that effectively manages attention keys and values. vLLM equipped with PagedAttention achieves up to 24x higher throughput than HuggingFace Transformers, without requiring any model architecture changes. vLLM has been developed at UC Berkeley and deployed for Chatbot Arena and Vicuna Demo for the past three months. In this talk, we will discuss the motivation, features, and implementation of vLLM in depth, and present our future plan. About Anyscale --- Anyscale is the AI Application Platform for developing, running, and scaling AI. https://www.anyscale.com/ If you're interested in a managed Ray service, check out: https://www.anyscale.com/signup/ About Ray --- Ray is the most popular open source framework for scaling and productionizing AI workloads. From Generative AI and LLMs to computer vision, Ray powers the world’s most ambitious AI workloads. https://docs.ray.io/en/latest/ #llm #machinelearning #ray #deeplearning #distributedsystems #python #genai
총 157개의 소셜 미디어 데이터를 보려면 잠금을 해제해야 합니다