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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
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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
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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
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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
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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
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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
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NVIDIA Unveils Comprehensive Physical AI Framework for Advanced Autonomous Vehicles and Robotics
NVIDIA's new physical AI tools streamline workflows for autonomous vehicles, robotics, and vision AI, advancing development with innovative skills and...
GateMachine Learning
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Enhancing Security with Role-Based Access Control for Agents and Developers
New Role-Based Access Control (RBAC) features on Modal provide a secure framework for managing agent and human access to resources within environments...
GateMachine Learning
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Elevating AI Training: Applied Compute's Focus on Specific Intelligence through Reinforcement Learning
Applied Compute leverages reinforcement learning to develop tailored AI agents. This approach emphasizes adaptability, heavy reliance on proprietary d...
GateMachine Learning
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Anthropic and Modal Unveil Next-Gen Managed Agents with Enhanced Sandboxes
The collaboration between Anthropic and Modal introduces Claude Managed Agents, offering developers scalable, cost-effective AI workflows with integra...
GateMachine Learning
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Creating Custom Agents with OpenAI's Agents SDK and Modal Integration
OpenAI's new Agents SDK enables developers to build tailored coding agents and internal tools efficiently, leveraging Modal's powerful sandbox environ...
GateGenerative AI
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Butter Team Joins Modal to Enhance Sandbox Technology
Butter's acquisition by Modal brings new expertise in code generation and agent engineering, aiming to improve Modal Sandboxes' functionality.
GateMachine Learning
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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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Building a High-Performance Background Coding Agent with Modal at Ramp
Ramp’s integration of a background coding agent using Modal has revolutionized its development process, now powering over half of its merged pull requ...
GateMachine Learning
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GLM-5.1 Launches: Advancing Open Source AI for Long-Horizon Tasks
The release of GLM-5.1 by Z.ai enhances open source AI capabilities for complex systems, improving performance benchmarks and deployment options.
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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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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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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Advancements in Level 4 Autonomous Driving: AI Strategies Transforming the Future of Transportation
Recent AI advancements are propelling Level 4 autonomous driving closer to reality, enhancing safety, efficiency, and accessibility in transportation.
GateMachine Learning
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