GPU.LAND
Banana.dev
Apple Core ML
TensorFlow Lite
Clever Grid
Numba
Google CLOUD AUTOML
Roboflow Universe
Cython
Numba
nuitka
PyInstaller
cx_Freeze
PyPy
py2exe
bbfreeze
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Based on our record, Cython should be more popular than GPU.LAND. It has been mentiond 47 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.
I'm just going to mention here the experience of someone who ran gpu.land (doesn't exist any more). He did something similar, monetized it (very cheap) and then had to shut down because people were running crypto miners on it. I hope you have a plan to avoid that type of abuse. Source: about 2 years ago
RIP to gpu.land... I was hoping they would take off because they seemed to have a cool product with great pricing. Source: almost 3 years ago
There's also https://gpu.land (which has their own comparison page). Source: almost 3 years ago
Heya, I'm also so just keeping in touch. After liek 1 month of non redditing, someone replied who claimed to be the developer of gpu.land Apparently it is cloud computing for full Linux rather than the Jupyter notebook like what we tried before. Can I ask what is the update on the cloud computing site? I messaged the gpu.land person to see if we can get some free trial ($1 per hour on cheapest one but I don't know... Source: about 3 years ago
There are also more affordable GPU-for-DL-lending options like gpu.land, although I have never used them so I can't vouch for them -- just something I saw on PH. Source: about 3 years ago
Https://cython.org can help with that. - Source: Hacker News / 19 days ago
The approach that I favour is to use Cython. The nice thing with this approach is that your code is still written as (almost) Python, but so long as you define all required types correctly it will automatically create the C extension for you. Early versions of Cython required using Cython specific typing (Python didn't have type hints when Cython was created), but it can now use Python's type hints. Source: 11 months ago
Just for reference, * Nuitka[0] "is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11." * Pypy[1] "is a replacement for CPython" with builtin optimizations such as on the fly JIT compiles. * Cython[2] "is an optimising static compiler for both the Python programming language and the extended Cython programming language... Makes writing C... - Source: Hacker News / 12 months ago
Profile and optimize the hotspots with cython (or whatever the cool kids are using these days... It's been a while.). Source: about 1 year ago
JIT essentially means generating machine code for the language on the fly, either during loading of the interpreter (method JIT), or by profiling and optimizing hotspots (tracing JIT). The language itself can be statically or dynamically typed. You could also compile a dynamic language ahead of time, for example, cython. Source: about 1 year ago
Banana.dev - Banana provides inference hosting for ML models in three easy steps and a single line of code.
Numba - Numba gives you the power to speed up your applications with high performance functions written...
Apple Core ML - Integrate a broad variety of ML model types into your app
nuitka - Nuitka is a Python compiler.
TensorFlow Lite - Low-latency inference of on-device ML models
PyInstaller - PyInstaller is a program that freezes (packages) Python programs into stand-alone executables...
