Rust for MLOps with Amazon SageMaker

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Learn how Rust's performance, safety and ecosystem integrates with SageMaker for full-stack MLOps. See how Rust crushes Python for speed, enables robust systems via memory safety, interoperates easily with PyTorch, ONNX, and more. Understand the developer experience, binary deployment, and rich AWS ecosystem. Follow a demo using Rust's async AWS SDK to orchestrate high-speed serverless workflows.

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Комментарии
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Incredible work thank you so much for putting this out there. Can't believe there aren't more views it is perfect for the work I've been doing

falconoveride
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Very informative video, thanks a lot. I will use rust in my future implementations

jorgearagon
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I listened to the AWS Developers PodCast episode 92 "Moving to Rust bin the Age of AI". Thank you. I was so eager to ditch Python and give Rust a try. Rust's support for concurrency and security are compelling reasons to do so. But then I began to wonder how did we get such great FrameWorks like TensorFlow and PyTorch with Python's limitations. I will hazard a guess. Training or fine-tuning a GPT is accelerated via parallelism provided by the GPU hardware. Concurrency is not needed. Yes? No? I really want to understand this.

vtrandal