Modular

Modular is a Coding & Development tool that provides a unified AI inference stack from kernel to cloud. It offers 2x performance for AI workloads across NVIDIA, AMD, and Apple Silicon GPUs, supporting over 500 open models.

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At a glance

Pricing

Freemium · Enterprise · Usage-based

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Modular?

Modular offers a unified AI inference platform designed for high-performance and portable compute, optimizing AI pipelines from GPU kernel to API endpoint. It boasts up to 2x performance compared to vanilla vLLM and supports a wide range of hardware including NVIDIA, AMD, Intel, ARM, and Apple Silicon, ensuring true hardware portability. The platform includes MAX for GenAI native modeling and serving, and Mojo for high-performance GPU and CPU programming. Users can deploy top open models or custom models with flexible options, either in Modular's managed cloud, their own VPC, or self-hosted. It aims to reduce operational overhead and vendor lock-in, providing both managed simplicity and self-hosted control for demanding AI inference workloads.

Best used for

Ideal for developers and data scientists who need to deploy high-performance AI inference workloads, optimize custom models, and ensure hardware portability across various GPUs. Especially valuable for those looking to reduce operational overhead and achieve significant cost savings while avoiding vendor lock-in.

Common actions

optimize AI inference

deploy AI models

run custom GPU kernels

achieve hardware portability

reduce AI inference costs

Capabilities

Key features

Unified AI inference stack
2x performance over vLLM
Hardware portability (NVIDIA, AMD)
MAX framework for serving
Mojo language for kernels
OpenAI-compatible API
500+ open models supported

Target Audience

developerdata scientiststartup founderproduct manager

Integrations

Not yet documented

Pricing & Plans

Freemium · Enterprise · Usage-based

Not publicly disclosed. Check modular.com for current pricing.

FAQs

What is included in Modular's Community Edition?

The Community Edition is Modular's free tier, offering full access to MAX and Mojo for self-managed deployment. It provides community support and allows users to get started immediately with the platform's core capabilities for AI inference.

What hardware does Modular support for AI inference?

Modular provides hardware-portable AI inference across major accelerator platforms. It supports NVIDIA GPUs, AMD GPUs, and Apple Silicon, as well as Intel, AMD, and ARM CPUs, allowing for seamless workload deployment across diverse hardware.

How does Modular compare to vLLM in terms of performance?

Modular delivers up to 2x the performance of vanilla vLLM for AI inference workloads. Customers have reported approximately 70% faster inference and up to 80% cost reductions, highlighting its efficiency and optimization capabilities.

What types of models does Modular support?

Modular supports over 500 open source models, including popular ones like DeepSeek R1, Llama 3.3, Qwen3, Mistral, and Gemma. It also allows users to deploy their own custom or fine-tuned models, with an OpenAI-compatible API for easy integration.

What are the deployment options available with Modular?

Modular offers flexible deployment options including its fully managed cloud, deployment within your own VPC where Modular manages the control plane, or self-hosted MAX and Mojo in a container on your infrastructure. This provides choice and control over your AI inference environment.

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Subcategories trending in Coding & Development

Open Source & Models Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs

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