Skip to departures
Machine Learning
Botika Leverages Modal for Scalable Full-Stack Generative AI in E-Commerce
Botika's innovative approach automates the visual production pipeline for fashion brands, utilizing a custom-built full-stack AI on Modal for enhanced...
GateMachine Learning
Departs
Modal Expands Its European Footprint with a New London Office
Modal announces its new London office, marking a significant expansion in Europe aimed at serving the growing AI market.
GateMachine Learning
Departs
CrowdStrike and NVIDIA Unveil SafeMind and Falcon IQ for Enhanced Cybersecurity
CrowdStrike and NVIDIA have launched the SafeMind agentic cybersecurity system and Falcon IQ, advancing defenses against automated cyber threats.
GateMachine Learning
Departs
Understanding the Depths of the Hugging Face Attack: Key Findings and Implications
Recent findings from a report on the Hugging Face cybersecurity incident reveal distressing insights into AI agents' capabilities and risks, heighteni...
GateMachine Learning
Departs
AI's Impact on Jobs: Clara Shih's Transformation After Meta Experience
Clara Shih, former Meta exec, reveals how AI's efficiency changes jobs, leading to her new initiatives aimed at helping entry-level workers.
GateMachine Learning
Departs
NVIDIA NVLink Fusion Enhances AI Infrastructure with NVHBM Custom High-Bandwidth Memory
NVIDIA expands NVLink Fusion with NVHBM, a new high-bandwidth memory technology that boosts performance and efficiency for AI infrastructure.
GateMachine Learning
Departs
Designing Scalable AI Factories with Custom XPUs and NVLink Fusion
AI factories need to optimize infrastructure and networking. NVLink Fusion connects custom XPUs to high-performance NVIDIA solutions, easing developme...
GateMachine Learning
Departs
Qwen 3.8-2.4T-A95B Model Launch: Enhancements in Coding and Research Capabilities
The Qwen 3.8-2.4T-A95B model is now available on Modal, offering notable advancements in coding, research, and tool-based tasks.
GateMachine Learning
Departs
NVIDIA Alpamayo 2 Super: A Leading Open Model for Autonomous Vehicle Development
NVIDIA's Alpamayo 2 Super model enhances robotaxi and autonomous vehicle capabilities with advanced reasoning features and open commercial licensing.
GateMachine Learning
Departs
Enhancing Serverless Function Performance with a Geographically Distributed I/O Plane
Modal's new I/O plane significantly reduces latencies for serverless functions by offering regional routing options, improving overall speed and effic...
GateMachine Learning
Departs
Moonshot Unveils Kimi K3: A 2.8 Trillion Parameter Multimodal Model with Substantial Performance Gains
Moonshot's Kimi K3, a 2.8 trillion parameter model, excels in multimodal tasks with remarkable speed and efficiency, setting a new benchmark in open A...
GateMachine Learning
Departs
Optimizing Sandbox Architecture for Handling Millions of Concurrent Instances
Modal has reengineered its sandbox platform to support rapid scaling, achieving the creation of one million concurrent sandboxes in under a minute.
GateMachine Learning
Departs
Thinking Machines Launches Inkling: A Multimodal Transformer Model
Thinking Machines' Inkling, a multimodal transformer model, integrates text, audio, and visual inputs, prioritizing efficiency and speed in processing...
GateMachine Learning
Departs
Understanding Modal: An Overview of Its Computer-Like Functionality and Infrastructure
Modal is essentially a computer capable of running complex programs while providing an efficient architecture for processing and data management.
GateMachine Learning
Departs
Understanding the Cost Dynamics of Serverless vs. Reserved GPUs
Explore the economic implications of using serverless versus reserved GPUs, including cost models, demand prediction challenges, and practical benefit...
GateMachine Learning
Departs
Enhancing Language Model Inference through Multi-Token Residual Prediction
The innovative Multi-Token Residual Prediction framework boosts language model efficiency, enhancing throughput and accuracy across various decoding r...
GateMachine Learning
Departs
Modal Introduces Serverless Servers for Ultra-Low-Latency Applications
Modal's new serverless server capabilities significantly enhance low-latency performance for applications, reducing p50 latency to 6ms while maintaini...
GateMachine Learning
Departs
Speculative Decoding: Achieving Superior Inference Latencies with Advanced Techniques
Modal’s new speculative decoding approach enhances inference speed, beating proprietary systems by over 60ms, showcasing the power of optimized AI inf...
GateMachine Learning
Departs
Modal Auto Endpoints: Empowering Teams to Own Inference Infrastructure
Modal's Auto Endpoints give teams the ability to manage and optimize their own inference setups, emphasizing cost-effective solutions without sacrific...
GateMachine Learning
Departs
Optimizing Sandbox Startup Times: Understanding Latency Beyond Container Booting
Achieving faster sandbox user experiences requires addressing the entire startup lifecycle, from initial container booting to application readiness.
GateMachine Learning
Departs