AI Tools & Apps

Justin Dignelli Becomes VP of Sales at Modal, Pioneering Developer-Focused AI Infrastructure Justin Dignelli joins Modal as VP of Sales, aiming to leverage his experience to grow the company’s AI-driven infrastructure in a competitive landscap... GateMachine Learning DepartsSep 22, 2025

Scalable Coding Environments: Introducing Modal Vibe for Mass Sessions Modal Vibe showcases a scalable platform for running multiple AI-coded applications simultaneously, supporting over a million users monthly. GateMachine Learning DepartsSep 22, 2025

NVIDIA Advances AI-Defined Vehicles with Safety-Centric Cloud-to-Car Platforms at IAA Mobility NVIDIA reveals its AI-driven automotive strategy at IAA Mobility, emphasizing safety through its cloud-to-car platforms and advanced simulation tools... GateGenerative AI DepartsSep 09, 2025

Modal Notebooks: Elevated Collaboration for AI Research and Development Modal Notebooks enhances collaborative coding for AI with instant startup and advanced features, reshaping the research and experimentation process. GateGenerative AI DepartsSep 09, 2025

Modal Batch Launches with Enhanced Job Processing Capabilities for AI Applications Modal Batch introduces an enhanced job processing system allowing seamless handling of up to 1 million tasks, significantly improving efficiency for A... GateMachine Learning DepartsMay 22, 2025

Modal Sandboxes Launch: Secure Environment for Untrusted Code Execution Modal Sandboxes are now generally available, offering a secure environment for executing untrusted code with dynamic configurations and robust functio... GateMachine Learning DepartsJan 21, 2025

Insights from Modal's Hackathon: Projects Unveiling New Use Cases and Enhancements Modal's internal hackathon showcased innovative projects, including AI tools and latency reduction strategies, enhancing productivity and real-time ap... GateMachine Learning DepartsDec 09, 2024

Data Processing Transformation: A European Soccer Team Cuts Costs and Speeds Up Analysis A leading European soccer team enhanced its data processing efficiency and reduced costs by 50% through improved infrastructure and innovative batch p... GateMachine Learning DepartsDec 04, 2024

OpenArt Streamlines AI Art Platform Scalability with Modal's Infrastructure OpenArt has efficiently scaled its AI image generation platform using Modal, overcoming limitations of traditional API providers and cloud infrastruct... GateMachine Learning DepartsNov 20, 2024

Understanding the Need for Flexible GPU Capacity in AI Development AI's demand for GPU compute is surging, but supply challenges exist. Exploring the shift to on-demand GPU models highlights implications for startups... GateMachine Learning DepartsOct 25, 2024

Cost-Effective Analytics Stack: Leveraging Modal, dlt, and dbt for Data Engineering Efficiency This article outlines how to create a cost-efficient analytics stack using Modal, dlt, and dbt, highlighting data loading, transformation, and deploym... GateMachine Learning DepartsSep 10, 2024

Modal Updates: Region Selection, Datadog Integration, and Enhanced Function Latency Modal introduces key updates including region selection for functions, a new Datadog integration, and lower latency for improved performance. GateMachine Learning DepartsJul 09, 2024

Integrating Modal with Airflow for Simplified GPU Job Management Learn how to effectively run GPU jobs using Modal in your Airflow workflows, enhancing scalability and simplifying setup. GateGenerative AI DepartsJun 20, 2024

Hunch Enhances No-Code AI Workflows Using Modal Sandboxes for Secure Code Execution Hunch leverages Modal Sandboxes to execute arbitrary AI-generated code securely, enhancing productivity and enabling complex automation in no-code wor... GateMachine Learning DepartsMay 23, 2024

Substack Enhances AI and ML Workflow Efficiency by Transitioning to Modal Substack's shift from AWS SageMaker to Modal has significantly streamlined its AI and machine learning processes, enhancing deployment and development... GateMachine Learning DepartsMay 20, 2024

Achieving Superior Performance through Fine-Tuning Open Source Embedding Models This article explores how fine-tuning an open source embedding model can outperform proprietary models like OpenAI's text-embedding-3-small, even with... GateMachine Learning DepartsApr 26, 2024

Ramp Enhances Receipt Processing Through Fine-Tuned LLM Automation Ramp significantly reduces manual receipt intervention by 34% using custom fine-tuned LLMs, achieving cost savings with Modal's scalable infrastructur... GateMachine Learning DepartsMar 26, 2024

Suno Reduces Launch Timeline by Four Months Through Efficient Use of Modal Suno accelerated its launch by four months leveraging Modal to streamline GPU infrastructure and model deployment for music generation. GateMachine Learning DepartsFeb 21, 2024