Search: “modal-blog”

Modal is a cloud computing platform that provides serverless infrastructure for running Python code at scale, enabling developers to execute functions, train machine learning models, and process data

This article from Modal explains the pricing models and cost considerations for serverless GPU services, likely covering how providers like Modal calculate charges based on GPU usage, execution time,

Multi-token Residual Prediction is a technique for improving language model inference efficiency by predicting multiple tokens simultaneously rather than one at a time, reducing latency and computatio

Anthropic has integrated Claude with Modal's serverless compute platform, enabling scalable cloud infrastructure for scientific computing workflows. This integration allows Claude to leverage Modal's

This article discusses routing infrastructure and architectural approaches for serverless computing platforms, examining how systems like Pingora and Envoy handle request routing and load balancing, w

Speculative decoding is a technique for reducing inference latency in large language models by using a smaller, faster model to generate candidate tokens that are then verified by a larger model in pa

Modal Auto Endpoints is a feature that automatically optimizes and manages inference endpoints, allowing users to deploy machine learning models with reduced operational overhead. The service likely h

This article examines the gap between when a sandbox container reports as 'started' versus when it's actually ready to handle requests, exploring the technical reasons for latency during startup on Mo

This article argues that the primary challenges in deploying reinforcement learning systems are infrastructure-related rather than algorithmic, focusing on issues like distributed training, simulation

This article discusses implementing role-based access control (RBAC) systems that work for both human users and AI agents, likely addressing how to manage permissions and authentication in environment

This article discusses how Applied Compute leverages Modal's infrastructure to scale reinforcement learning workloads, likely covering the technical implementation of distributed RL training, computat

This article announces a collaboration between Anthropic's Claude and Modal that enables Claude to operate as managed agents within Modal's sandboxed environments. The integration allows Claude to saf

This article explains how to implement and deploy GPU workloads in a truly serverless architecture, likely covering Modal's approach to abstracting away infrastructure management while providing GPU c

This Modal blog post describes a performance optimization technique for multimodal AI inference that achieves over 10% improvement through a simple Python dictionary-based approach. The article likely

This article describes how to implement a reinforcement learning-based theorem-proving system using Modal, a cloud computing platform for running distributed Python code. It likely covers the architec

Modal's blog post covers how to build and deploy AI agent applications by combining Modal's serverless cloud infrastructure with OpenAI's Agent SDK, enabling scalable execution of agentic workflows. T

Modal's blog post describes how to build AI research agents that automatically scale GPU resources up and down using Modal's serverless infrastructure, eliminating the need to manage fixed GPU allocat

I was unable to directly access the blog post at `https://modal.com/blog/butter-is-joining-modal`, and my search results did not return the specific content of that article. The search results refe...

Physical Intelligence (Pi) is building a general-purpose robotic intelligence system whose core Visual-Language-Action (VLA) model takes visual observations, natural-language instructions, and the...