AI Industry & Funding

Modal Updates: Price Reductions, SDK Enhancements, and Practical Resources for Developers Modal has slashed hardware prices by 65%, launched a new SDK on conda-forge, and provides substantial updates for developers tackling GPU challenges. GateMachine Learning DepartsMar 17, 2025

Understanding GPU Utilization: A Comprehensive Guide for Developers and Researchers This guide explores GPU utilization metrics, focusing on allocation, kernel, and FLOP/s utilization, providing insights on achieving optimal performan... GateMachine Learning DepartsFeb 24, 2025

Memory Snapshots Enhance Serverless GPU Container Performance by Reducing Cold Start Times Modal's introduction of memory snapshots significantly decreases cold start latency in GPU container runtimes, offering boosts in performance over tra... GateMachine Learning DepartsJan 28, 2025

NVIDIA L40S GPUs Launch with Enhanced Performance and New Features on Modal The NVIDIA L40S GPUs are now available on Modal, offering enhanced memory, speed, and several new features for developers and researchers. GateMachine Learning DepartsJan 21, 2025

Modal Releases Key Updates: Enhanced Memory Snapshotting, Async Job Queues, and OIDC Integration Modal's latest updates feature faster memory snapshotting, expanded async job queues, and OpenID Connect for improved authentication and integration. GateMachine Learning DepartsDec 28, 2024

NVIDIA L40S GPUs Now Available on Modal: Enhancements for Inference Workloads Modal users can now access NVIDIA L40S GPUs, offering enhanced memory and speed advantages over the A10 GPU for demanding inference tasks. GateMachine Learning DepartsDec 19, 2024

Understanding LLM Fine-Tuning: Benefits, Techniques, and Frameworks for 2025 Explore how fine-tuning large language models enhances task performance, reduces costs, and discover leading frameworks for implementation. GateMachine Learning DepartsDec 10, 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

Building High-Availability VPN Proxies for Serverless Containers with WireGuard at Modal Modal's implementation of a Go-based VPN proxy, vprox, enables static IP addresses for serverless containers, ensuring reliable connections and simpli... GateMachine Learning DepartsDec 02, 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

Modal's New Features: Static IP Proxies, Enhanced Slack Integration, and Live Resource Monitoring Modal introduces new features including static IP proxies, Slack integration for alerts, and a real-time usage dashboard for effective resource manage... GateMachine Learning DepartsNov 08, 2024

Tidbyt Joins Modal to Enhance Cloud Infrastructure for AI and Machine Learning Tidbyt, known for its programmable LED screens, joins Modal to leverage mutual strengths in cloud infrastructure and customer acquisition. GateMachine Learning DepartsNov 07, 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

Leveraging Hybrid Search with MongoDB, Modal, and Clay for Enhanced California Data Insights Explore a hybrid search application utilizing MongoDB, Modal, and Clay for satellite image analysis of California, showcasing data integration and rea... GateMachine Learning DepartsSep 24, 2024

Enhancing Throughput with Dynamic Batching for Machine Learning Workloads Dynamic batching can significantly improve the efficiency of machine learning workloads, offering up to 2.8x increased throughput with minimal code ch... GateMachine Learning DepartsSep 16, 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 Enhancements: App Rollbacks, Dynamic Batching, and New Pricing Modal's latest updates include app rollbacks, dynamic request batching for efficiency, TCP tunneling in Sandboxes, and reduced pricing for CPU and GPU... GateMachine Learning DepartsSep 06, 2024

Modal Announces Reduction in GPU Prices and Changes to Billing Structures Modal has cut GPU prices by 15-30% while updating its CPU/memory billing practices, aiming to enhance affordability for AI developers. GateMachine Learning DepartsAug 06, 2024

Leveraging Search with LLaMA: Surpassing GPT-4o in Python Tasks This exploration shows how scaling search techniques with the LLaMA model can match or surpass the performance of GPT-4o in coding tasks, highlighting... GateMachine Learning DepartsAug 05, 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