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Tools/DeepSpeed vs Modal
DeepSpeed

DeepSpeed

infrastructure
vs
Modal

Modal

infrastructure

DeepSpeed vs Modal — Comparison

Overview
What each tool does and who it's for

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

[2025/12] DeepSpeed Core API updates: PyTorch-style backward and low-precision master states [2025/10] SuperOffload: Unleashing the Power of Large-Scale LLM Training on Superchips [2025/10] Study of ZenFlow and ZeRO offload performance with DeepSpeed CPU core binding [2025/08] ZenFlow: Stall-Free Offloading Engine for LLM Training [2025/06] Arctic Long Sequence Training (ALST) with DeepSpeed: Scalable And Efficient Training For Multi-Million Token Sequences DeepSpeed has been used to train many different large-scale models. Below is a list of several examples that we are aware of (if you’d like to include your model please submit a PR): DeepSpeed has been integrated with several different popular open-source DL frameworks such as: DeepSpeed is an integral part of Microsoft’s AI at Scale initiative to enable next-generation AI capabilities at scale. DeepSpeed welcomes your contributions! Please see our contributing guide for more details on formatting, testing, etc. This project welcomes contributions and suggestions. Most contributions require you to agree to a Developer Certificate of Origin (DCO)[https://wiki.linuxfoundation.org/dco] stating that they agree to the terms published at https://developercertificate.org for that particular contribution. DCOs are per-commit, so each commit needs to be signed off. These can be signed in the commit by adding the -s flag. DCO enforcement can also be signed off in the PR itself by clicking on the DCO enforcement check. Xinyu Lian, Sam Ade Jacobs, Lev Kurilenko, Masahiro Tanaka, Stas Bekman, Olatunji Ruwase, Minjia Zhang. (2024) Universal Checkpointing: Efficient and Flexible Checkpointing for Large Scale Distributed Training arXiv:2406.18820

Modal

Bring your own code, and run CPU, GPU, and data-intensive compute at scale. The serverless platform for AI and data teams.

Based on the provided social mentions, there's very limited user feedback available about Modal. The mentions primarily consist of brief YouTube references to "Modal AI" without detailed reviews or commentary. One Hacker News post mentions OpenRouter integration for AI agents but doesn't provide specific insights about Modal's user experience or pricing. Without substantial user reviews or detailed social discussions, it's not possible to summarize user sentiment about Modal's strengths, complaints, pricing, or overall reputation from this data set.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
1
—
GitHub Stars
456
—
GitHub Forks
86
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

DeepSpeed

0% positive100% neutral0% negative

Modal

0% positive100% neutral0% negative
Pricing

DeepSpeed

tiered

Modal

usage-based + tieredFree tier

Pricing found: $0.001736 / sec, $0.001261 / sec, $0.001097 / sec, $0.000842 / sec, $0.000694 / sec

Features

Only in DeepSpeed (1)

Registration is free and all videos are available on-demand.

Only in Modal (10)

Programmable infraBuilt for performanceElastic GPU scalingUnified observabilityInferenceTrainingSandboxesBatchNotebooksAI-native runtime
Developer Ecosystem
—
GitHub Repos
77
—
GitHub Followers
1,268
20
npm Packages
20
40
HuggingFace Models
2
—
SO Reputation
—
Pain Points
Top complaints from reviews and social mentions

DeepSpeed

No data yet

Modal

token cost (1)cost tracking (1)
Product Screenshots

DeepSpeed

No screenshots

Modal

Modal screenshot 1
Company Intel
design
Industry
information technology & services
1
Employees
80
—
Funding
$112.0M
—
Stage
Series B
Supported Languages & Categories

DeepSpeed

AI/MLDeveloper Tools

Modal

AI/MLDevOpsSecurityDeveloper ToolsMarketing
View DeepSpeed Profile View Modal Profile