Modal

The serverless cloud infra for AI, ML, and data applications

5.0•52 reviews•

344 followers

The serverless cloud infra for AI, ML, and data applications

5.0•52 reviews•

344 followers

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Run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without your own infrastructure.

Modal Reviews

The community submitted 52 reviews to tell us what they like about Modal, what Modal can do better, and more.

5.0

Based on 52 reviews

Review Modal?

Reviewers, mainly founders, describe Modal as a practical way to run heavy compute without managing infrastructure. The most repeated themes are fast spin-up, simple serverless workflows, strong sandboxing, and a developer experience that feels lightweight enough to prototype quickly. Makers of Fathom call it a backbone tool; makers of Kodezi cite quick iteration without GPU overhead; makers of Lightfield use it for code execution. There is little critical feedback in the provided reviews.

+50

Summarized with AI

Pros

inference at scale (4)

training pipelines (3)

cold start management (2)

fine-tuning models (2)

Python hosting (2)

scalable GPU serving (2)

Pros

Cons

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Reviews

All Reviews

Most Informative

used Modal to build Reactive Workflows [LW24]

•8 reviews

Modals VM's power our AI agent environments, allowing them to view pull requests, inspect files, and even execute code! Thanks to the Modal team for prioritizing our feature requests and building a GREAT headless compute environment.

What's great

headless compute environment (1)

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15 views1yr ago

used Modal to build Relace Repos

•1 review

Serverless GPU infrastructure helps us scale to workloads of hundreds of H200s/B200s within seconds to maintain low latency for our retrieval models in a cost-effective way.

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8 views7mo ago

used Modal to build RunLLM

•19 reviews

Modal helps us spin up Python workloads with speed and control. Great for agents that need to run fast, ephemeral jobs. A dream for short-lived compute without DevOps overhead.

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6 views10mo ago

used Modal to build Face Animator

•6 reviews

We run our models on Modal. Amazing DX, brilliantly documented API, and very fast and helpful support on their Slack.

What's great

excellent documentation (1)fast support (1)

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4 views2yr ago

used Modal to build Scoopika

•5 reviews

We use Modal to serve TTS and embedding models with scalable GPU power

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2 views2yr ago

used Modal to build My!hū

•3 reviews

I chose Modal because it made running data-heavy workloads feel effortless. A lot of alternatives required more setup or infrastructure thinking, but with Modal I could just focus on the logic and let it handle the scaling and execution. It’s been especially useful for processing environmental data in the background without worrying about servers. It strikes a really nice balance between power and simplicity, which made building and iterating on My!hū much smoother.

Alternatives Considered

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1 view2mo ago

used Modal to build AnythingLLM

•6 reviews

For when you want to quickly spin-off a fine-tuned model from AnythingLLM. There is no easier way to build that pipeline we offer in-app than using Modal Labs for creating fine-tuning jobs on powerful GPUs for a fair price.

What's great

scalable GPU serving (2)training pipelines (3)fine-tuning models (2)

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1 view2yr ago

used Modal to build ScaryStories Live

•7 reviews

Huge shoutout to Modal! The cloud infrastructure made spinning up AI and ML tasks for ScaryStories.Live effortlessly. We couldn’t have scaled our real-time horror experiences without you. We’re truly grateful for your generous support in our early days!

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5 views7mo ago

used Modal to build Kodezi

•3 reviews

Modal gives us fast spin up times, simple serverless workflows, and a clean developer experience. It let us prototype Kodezi pipelines without managing GPUs or infra overhead. The combination of speed, scale, and low friction made it easier to iterate than the alternatives.

Alternatives Considered

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1 view24d ago

used Modal to build SnowSEO 2.0

•6 reviews

Modal helped us train our model to generate human-like content, we developed state-of-the-art content engine that writes content indistinguishable from the one written by subject-expert human.

What's great

training pipelines (3)

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9mo ago

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