Modular

Modular operates as a unified AI inference stack that optimizes performance from GPU kernels to cloud serving. It allows users to deploy models seamlessly across various hardware, ensuring high performance and flexibility. The platform supports both managed and self-hosted deployments.

Modular is powered by a high-performance, hardware-agnostic serving framework called MAX, which optimizes kernels and request execution across diverse accelerators. It supports a variety of GPUs and CPUs, ensuring compatibility and performance across different environments.

Key features of Modular include fast inference with shared and dedicated endpoints, support for custom models, and a unified stack that runs on NVIDIA, AMD, and Apple Silicon. It also offers per-token and per-minute pricing models for flexible billing.

Modular utilizes state-of-the-art AI models and frameworks, including top open models and custom models developed using its Mojo programming language. This allows for high-performance inference and model deployment across various hardware platforms.