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Memory on the harness level after 2 years... i've started writing blogs again! In this post, I dive _very_ deep into the different ways to compose and add memory to the harness for various different use cases. it's interactive. it's fun. you can listen to it too!

Dhravya Shah

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20,621 views • 1 month ago •via X (Twitter)

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It's over for Anthropic… They lost the $200M Pentagon contract to OpenAI. Then Claude hit #1 on the App Store... and gave memory to free users. Different game. Different win.

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Day 14/90 of Inference Engineering I didn't finish the MNIST in CUDA project today, which made me hesitant to post since I didn't want to put out some slop. But in the spirit of being consistent and showing up, here's a concept I've revisited today now that I've started writing CUDA again. This is an animation on the CUDA memory life cycle. Generally speaking, when writing CUDA, memory management goes through the following stages: 1. Allocate memory on the host 2.Initialize / populate the memory 3.Allocate device memory 4.Copy host data to the device 5. Launch the kernel 6. Copy device data back to the host 7. Free the memory - On a brief reflection, I'm starting to write the matmul kernels in CUDA instead of in C. So this in itself is another paradigm shift in thinking. Excited to hone my technique over the coming week. I'll update you guys when I've completed the project; otherwise I'll just make a post like usual on what I've learned during the day!

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