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Doppel Enhances Machine Learning Workflows with Modal to Streamline Experimentation and Inference
Doppel improved its machine learning operations by migrating to Modal, achieving faster experimentation and more efficient inference with reduced infr...
GateMachine Learning
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Modal's Infrastructure: Boosting AI Research Through Enhanced Workflows and Collaboration
Modal's innovative platform accelerates AI research by providing advanced infrastructure for managing complex workloads, enhancing collaboration among...
GateMachine Learning
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Mercedes-Benz’s New S-Class Integrates NVIDIA Hyperion for Autonomous Driving and Advanced Safety Features
The latest Mercedes-Benz S-Class combines NVIDIA's Hyperion architecture and DRIVE AV software for L4 autonomy, enhancing safety and reliability for f...
GateMachine Learning
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Modal Expands Reach with AWS and GCP Marketplaces, Enhanced User Experience, and Developer Collaboration Tools
Modal is now available on AWS and GCP Marketplaces, accompanied by UI enhancements for Sandboxes and client updates to facilitate developer productivi...
GateMachine Learning
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Chai Discovery Enhances Drug Development with Modal's Scalable Machine Learning Infrastructure
Chai Discovery leverages Modal's elastic infrastructure to streamline drug discovery, enabling rapid, reproducible experiments across diverse biologic...
GateMachine Learning
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NVIDIA Unveils Rubin Platform and Open Models for Advanced AI Integration at CES 2026
At CES 2026, NVIDIA introduced the Rubin platform and the Alpamayo model family, aiming to enhance AI integration across sectors and reduce operationa...
GateMachine Learning
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NVIDIA Expands Hyperion Ecosystem to Enhance Level 4 Autonomy for Automotive Partners
NVIDIA's Hyperion ecosystem is expanding with new partnerships, aiming to accelerate the development of level 4 autonomous vehicle technologies.
GateMachine Learning
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NVIDIA Drives AI-Defined Mobility with Advanced Driver Assistance in Mercedes-Benz CLA
NVIDIA's DRIVE AV software enhances the new Mercedes-Benz CLA with advanced driver assistance features, leveraging a dual-stack architecture for impro...
GateMachine Learning
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NVIDIA Unveils New Open Models and Resources to Enhance AI Across Industries
NVIDIA's latest release of open models, data, and tools aims to accelerate AI development across various sectors, providing extensive resources for de...
GateGenerative AI
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Strategies for Maintaining GPU Reliability in a Large-Scale Cloud Environment
Modal shares insights on managing GPU reliability at scale, covering instance selection, health checks, and observability across multiple cloud provid...
GateMachine Learning
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NVIDIA's OpenUSD and Halos Framework Enhance Robotaxi Safety and Physical AI Systems
NVIDIA's advancements in OpenUSD and the Halos framework enable safer deployments of robotaxis and physical AI systems, streamlining workflows and enh...
GateGenerative AI
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Mistral 3: Accelerating Model Deployment with GPU Snapshotting on Modal
Mistral 3 introduces a suite of multimodal models with GPU snapshotting capabilities that optimize cold start times, enhancing deployment efficiency.
GateMachine Learning
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NVIDIA Expands Open Model Development for AI Research at NeurIPS 2025
NVIDIA unveils new open-source models and tools for AI research at NeurIPS 2025, including innovations in autonomous driving and language AI.
GateMachine Learning
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Optimizing Developer Experience in the Age of Coding Agents
Enhancing developer experience is vital as coding agents increasingly contribute to software development, requiring adapted principles for faster coll...
GateMachine Learning
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Reducto Enhances Document Processing Speed by 3x with Modal's Elastic Infrastructure
Reducto achieves a significant reduction in document processing latency using Modal's infrastructure, improving customer experience and operational ef...
GateMachine Learning
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Understanding and Mitigating Host Overhead in AI Inference Workloads
Host overhead significantly impacts AI inference efficiency, causing wasted GPU potential and increased costs. Strategies to minimize this inefficienc...
GateMachine Learning
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Decagon Enhances Real-Time Voice AI with Modal's Infrastructure Innovations
Decagon improves its voice AI capabilities by reducing latency by 65% and enhancing accuracy through advanced model training and optimization with Mod...
GateMachine Learning
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Efficient Voice AI Chatbot Development Using Modal and Pipecat Framework
This article details the development of a low-latency voice AI chatbot using Modal and Pipecat, focusing on architectural strategies and model choices...
GateMachine Learning
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Leveraging Datalab's Marker and Modal for Efficient Document Intelligence Deployment
Deploy high-throughput document intelligence using Datalab's Marker on Modal, achieving fast scalability and cost-effective performance.
GateMachine Learning
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AI Innovations in Medium Cities: Insights from NVIDIA GTC Washington, D.C.
Rancho Cordova leads a public-private AI initiative for economic development, highlighting strategies for medium-sized cities at NVIDIA's GTC conferen...
GateMachine Learning
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