No Banana.dev videos yet. You could help us improve this page by suggesting one.
Based on our record, Numba should be more popular than Banana.dev. It has been mentiond 92 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For the inference part, you can dockerise your model and use https://banana.dev for serverless GPU. They have examples on github on how to deploy and I’ve done it last year and was pretty straightforward. - Source: Hacker News / 26 days ago
I want to first check the user's ID and only if the user has an active subscription then the request will be forwarded to my API on banana.dev else the request will be blocked at the middleware itself. Should I use Express JS for the middleware i.e. Authentication and forwarding requests? Is there any other better way to improve my project structure? Currently it looks like:. Source: 6 months ago
Hey! Would love to have you try https://banana.dev (bias: I'm one of the founders). We run A100s for you and scale 0->1->n->0 on demand, so you only pay for what you use. I'm at erik@banana.dev if you want any help with it :). - Source: Hacker News / about 1 year ago
CAN you do this in AWS? Of course, do they have a service that does exactly what this banana.dev does? Probably not. Source: about 1 year ago
I've been using banana.dev for easily running my ML models on GPU in a serverless manner, and interacting with them as an API. Although the principle of the service is sound, it is currently too buggy to take into production (very long cold boots, errorring requests, always hitting capacity). Source: about 1 year ago
I believe it is using Numba which converts to machine code. https://numba.pydata.org/. - Source: Hacker News / 2 months ago
Around the same time, I discovered Numba and was fascinated by how easily it could bring huge performance improvements to Python code. - Source: dev.to / 8 months ago
Or you use numba [1]. Then you can use a subset of plain Python. [1] https://numba.pydata.org/. - Source: Hacker News / 8 months ago
Simulations are, at least in my experience, numba’s [0] wheelhouse. [0]: https://numba.pydata.org/. - Source: Hacker News / 10 months ago
That's very cool. Numba introduces just-in-time compilation to Python via decorators and its sole reason for being is to turn everything it can into abstract syntax trees. Source: 10 months ago
Clever Grid - Easy to use and fairly priced GPUs for Machine Learning
Cython - Cython is a language that makes writing C extensions for the Python language as easy as Python...
GPU.LAND - Cloud GPUs for Deep Learning — for ⅓ the price!
cx_Freeze - cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...
mlblocks - A no-code Machine Learning solution. Made by teenagers.
PyInstaller - PyInstaller is a program that freezes (packages) Python programs into stand-alone executables...