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We can literally transpile and run everything client side these days. You can run a recompiled quake 3 inside your browser. Why is a hosted notebook anything ot

We can literally transpile and run everything client side these days. You can run a recompiled quake 3 inside your browser. Why is a hosted notebook anything other than a static html+js+css site that runs behind a cdn (effectively free to host)? I suspect that’s a matter of time right?

AnotherGoodName 2y ago
In fact a quick google: https://github.com/jtpio/jupyterlite https://github.com/jtpio/jupyterlite Yay I really can have serverless notebooks! Not just an easy to manage server environment but literally a static html file that can be passed around and runs the full notebook environment. It’s weird it was ever done any other way.
- switchbak 2y ago
  Does that run with your GPU in the way this service offers?
  - deleted 2y ago
    [deleted]
  - tomjakubowski 2y ago
    No, it doesn't. But unlike the marketing buzzword "serverless", it is honest about not requiring a server. Pyodide GPU support is a ways away, but it is theoretically possible once WebGPU is stable. https://github.com/pyodide/pyodide/issues/1911 https://github.com/pyodide/pyodide/issues/1911
dinobones 2y ago
I too share the dream of transpiling everything/WebAssembly/everything can run everywhere, but we're pretty far. For a lot of ML/AI workloads and tasks, Python is just a binding for underlying C/C++. It's already a nightmare to try to reproduce any ML/AI paper, pip breaks 3 times, incompatible peer deps, some obscure library emits an obscure CLANG error that means I need to brew install some libwhatever, etc... I don't think the WebAssembly toolchain is quite ready for plug and play "pip install" time yet. I hope it eventually will be though.
- OvbiousError 2y ago
  The performance of browser wasm is also incomparable to the same code compiled into a native binary.
  - geysersam 2y ago
    What kind of slowdown would you expect on equivalent hardware?
bblcla 2y ago
A lot of the people we've talked to who get the most value out of remote compute are doing really intensive stuff - they need server-level resources far beyond what you can find on a consumer laptop! Hopefully someday you'll have 8 H100s on your Macbook, but I think we're still a long way away from that.
ukd1 2y ago
GPU time

AnotherGoodName 2y ago

In fact a quick google: https://github.com/jtpio/jupyterlite https://github.com/jtpio/jupyterlite Yay I really can have serverless notebooks! Not just an easy to manage server environment but literally a static html file that can be passed around and runs the full notebook environment. It’s weird it was ever done any other way.

switchbak 2y ago
Does that run with your GPU in the way this service offers?
- deleted 2y ago
  [deleted]
- tomjakubowski 2y ago
  No, it doesn't. But unlike the marketing buzzword "serverless", it is honest about not requiring a server. Pyodide GPU support is a ways away, but it is theoretically possible once WebGPU is stable. https://github.com/pyodide/pyodide/issues/1911 https://github.com/pyodide/pyodide/issues/1911

dinobones 2y ago

I too share the dream of transpiling everything/WebAssembly/everything can run everywhere, but we're pretty far. For a lot of ML/AI workloads and tasks, Python is just a binding for underlying C/C++. It's already a nightmare to try to reproduce any ML/AI paper, pip breaks 3 times, incompatible peer deps, some obscure library emits an obscure CLANG error that means I need to brew install some libwhatever, etc... I don't think the WebAssembly toolchain is quite ready for plug and play "pip install" time yet. I hope it eventually will be though.

OvbiousError 2y ago
The performance of browser wasm is also incomparable to the same code compiled into a native binary.
- geysersam 2y ago
  What kind of slowdown would you expect on equivalent hardware?

bblcla 2y ago

A lot of the people we've talked to who get the most value out of remote compute are doing really intensive stuff - they need server-level resources far beyond what you can find on a consumer laptop! Hopefully someday you'll have 8 H100s on your Macbook, but I think we're still a long way away from that.

ukd1 2y ago

GPU time