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工具介绍:
在云中轻松执行代码。
收录时间:
2023年12月25日
月流量:
274.4K
社交媒体&邮箱:
Website
AI开发工具
Modal 工具信息

什么是Modal?

Modal helps people run code in the cloud. We think it's the easiest way for developers to get access to containerized, serverless compute without the hassle of managing their own infrastructure.

如何使用 Modal?

要使用 Modal,开发人员可以运行生成式人工智能模型、大规模批处理作业、作业队列等。他们可以带自己的代码,Modal 负责运行基础设施。安装过程包括运行 'pip install modal',然后运行 'python3 -m modal setup'。

Modal 的核心功能

完全在代码中表达容器映像和硬件规格,无需 Dockerfiles 或者 YAML。

通过强大的云原语轻松设置网络卷、键值存储和队列,与普通的 Python 类似。

只需一行代码即可将函数转换为 cron 作业。

将任何函数作为 HTTPS 端点提供服务并发送到自定义域。

实时监视执行情况、日志和指标,并通过 modal shell 进行交互式调试。

使用 gVisor 运行时和符合行业标准的 SOC 2 合规性保护工作负载。

Modal 的使用案例

#1

运行数据密集型应用程序

#2

运行大规模工作负载

#3

运行生成式人工智能模型

#4

运行批处理作业

#5

运行作业队列

#6

调度 cron 作业

#7

将函数作为 HTTPS 端点提供服务

来自 Modal 的常见问题

Modal 是什么?

Modal 是如何工作的?

Modal 的定价选项是什么?

Modal 的一些用例是什么?

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Modal数据分析

Modal 网站流量分析

最新流量情况

月访问量
274.4K
平均访问时长
00:06:32
每次访问页数
6.58
跳出率
42.29%
Sep 2023 - Jan 2025 所有流量

地理位置

Top 5 国家/地区

United States
42.35%
India
9.53%
Vietnam
3.27%
Poland
3.02%
Indonesia
2.76%
Sep 2023 - Jan 2025 仅桌面设备

流量来源

直接访问
52.50%
自然搜索
37.03%
外链引荐
7.16%
社交媒体
2.90%
展示广告
0.34%
邮件
0.07%
Sep 2023 - Jan 2025 仅限全球桌面设备

热门关键词

关键词
交通
每次点击费用
modal
196.9K
$ 2.40
modal labs
7.7K
$ 5.16
modal ai
--
$ 3.56
modal pricing
--
$ 5.54
mteb leaderboard
13.1K

社交媒体聆听

All
YouTube
Tiktok
49:48

Deploying code agents without all the agonizing pain

Agents that write and run code are powerful, as Cognition Labs showed with their recent release of Devin, the "AI SWE". But they are complex to program, hard to deploy, and even harder to secure -- what happens if your agent runs DROP prodtables or sudo rm -rf /? In this joint webinar between LangChain and Modal Labs, we cover the productionization of a coding agent. Lance Martin (@rlancemartin) walk through his coding agent implementation, which performs import and code execution checks along self-reflection in LangGraph. Modal AI Engineer Charles Frye (@charles_irl) will then show how to secure that prototype agent using Modal Sandboxes and deploy it as a FastAPI web app with only a dozen more lines of code. Slides: https://docs.google.com/presentation/d/1368-i3k73eM-h1vsd0LwchxQOC8JUQt7RRy9b44EBho/edit?usp=sharing Code: https://github.com/modal-labs/modal-examples/tree/main/06_gpu_and_ml/langchains/codelangchain First video discussing the design of the self-corrective coding agent in detail: https://www.youtube.com/watch?v=MvNdgmM7uyc Try Modal! Includes $30/month of free compute: https://modal.com Timestamps - 00:00 Summary 00:48 From paper to notebook 04:09 Evaluating the agent 08:20 From notebook to production - LangServe and Modal.asgi_app 13:20 Notebooks and apps 16:45 Iterating in production - OpenAPI docs 18:07 Securing code agents with Modal Sandboxes 23:47 Development servers with modal serve 28:42 Serving a UI with LangServe Playground 37:33 Deeper dive on using Modal Sandboxes 42:20 Observability and monitoring with LangSmith 45:08 Recap (edited)

LangChain
2024年3月21日
8.6K
22
56:14

Can AI Infrastructure Work Like Magic? Erik Bernhardsson, CEO, Modal

Before he founded Modal, Erik Bernhardsson created Spotify's music recommendation system. Today he's bringing a consumer app approach to radically simplifying developer experience for data and AI projects on the Modal platform. In this episode, we dive into the broader AI compute landscape, discussing the roles of hyperscalers, GPU clouds, inference platforms, and the emergence of alternative AI cloud providers. Erik gives us a product tour of the Modal platform, provides insights into the AI industry's shift from training to inference as the primary use case, and speculates on the future of AI-native consumer applications. Learn about Modal's commitment to fast feedback loops, their cloud maximalist approach, their dedication to building a product that developers truly love, as well as founder lessons Erik learned along the way. Erik's blog: https://erikbern.com "It's hard to write code for humans": https://erikbern.com/2024/09/27/its-hard-to-write-code-for-humans Modal Website - https://modal.com Twitter - https://x.com/modal_labs Erik Bernhardsson LinkedIn - https://www.linkedin.com/in/erikbern Twitter - https://x.com/bernhardsson FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck LISTEN ON: Spotify - https://open.spotify.com/show/7yLATDSaFvgJG80ACcRJtq Apple - https://podcasts.apple.com/us/podcast/the-mad-podcast-with-matt-turck/id1686238724 00:00 - Intro 01:35 - What is Modal? 02:18 - Current state of AI compute space 09:54 - Erik's path to starting Modal 13:57 - Core elements of the Modal platform 28:52 - Is serverless the right level of abstraction for AI compute? 33:35 - Balancing costs: GPU vendor fees vs. customer pricing 37:56 - Designing products for humans 42:43 - Modal's early go-to-market motion 45:32 - Managing early engineering team 48:26 - The only correct way to add a new function to the company 50:07 - Building company in NYC 52:05 - Modal's roadmap 54:04 - Erik's predictions on AI

The MAD Podcast with Matt Turck
2024年10月31日
3.7K
10

总共有 27 条社交媒体数据需要解锁才能查看

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