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6 件
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スライド 2 枚32:20EN
MBMatthew Berman· 2026年10月23日Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1
スライド1:00EN
MBMatthew Berman· 2024年10月31日AI Growth and the Pressure on Electricity InfrastructureMatthew Berman · Forward FutureMatthew Berman considers how the power demands of AI and data centers could affect grids, emissions and competition for resources.Energyインフラとデプロイ
0:58EN
MBMatthew Berman· 2024年7月17日ASUS Vivobook S 15: A Copilot+ PC with an NPUMatthew Berman · Forward FutureMatthew Berman introduces the laptop and its local AI features in a sponsored short.プロダクトと UXインフラとデプロイ
0:58EN
MBMatthew Berman· 2024年7月11日NVIDIA NIM: Containerized AI Inference MicroservicesMatthew Berman · Forward FutureA sponsored overview of NVIDIA’s approach to packaging model inference for local and cloud applications.インフラとデプロイモデルと学習
スライド 2 枚0:53EN
MBMatthew Berman· 2024年6月7日NVIDIA’s Computex Keynote: Digital Humans, Weather and RoboticsMatthew Berman · Forward FutureMatthew Berman briefly reviews Jensen Huang’s announcements on AI-generated characters, weather modeling, Blackwell hardware and factory robots.Generative mediaインフラとデプロイRobotics
スライド 3 枚4:42EN
MBMatthew Berman· 2023年10月17日Connecting AutoGen to a Local Model With LM StudioMatthew Berman · Forward FutureMatthew Berman demonstrates an early local-model setup and explains where agent behavior still needs work.エージェントOpen-weight modelsインフラとデプロイ