You SSH into a an OS like Ubuntu and do whatever you want from there. E.g. Amazon EC2.
The OS is usually virualized, and you get only a certain share of the CPU by default.
pyBullet by Ciro Santilli 37 Updated 2025-07-16
Became very popular as of result of people using Bullet Physics for reinforcement learning AI training robot simulations.
Source code: somewhere inside the main Bullet Physics source tree. Yay.
Nvidia T4 by Ciro Santilli 37 Updated 2025-07-16
According to wccftech.com/nvidia-drops-tesla-brand-to-avoid-confusion-with-tesla/ this was the first card that semi-dropped the "Nvidia Tesla" branding, though it is still visible in several places.
Nvidia A10G by Ciro Santilli 37 Updated 2025-07-16
According to www.baseten.co/blog/nvidia-a10-vs-a10g-for-ml-model-inference/ the Nvidia A10G is a variant of the Nvidia A10 created specifically for AWS. As such there isn't much information publicly available about it.
the A10 prioritizes tensor compute, while the A10G has a higher CUDA core performance
ROCm on Ubuntu by Ciro Santilli 37 Updated 2025-07-16
Tested on Ubuntu 23.10 with P14s:
sudo apt install hipcc
git clone https://github.com/ROCm/HIP-Examples
cd HIP-Examples/HIP-Examples-Applications/HelloWorld
make
TODO fails with:
/bin/hipcc -g   -c -o HelloWorld.o HelloWorld.cpp
clang: error: cannot find ROCm device library for gfx1103; provide its path via '--rocm-path' or '--rocm-device-lib-path', or pass '-nogpulib' to build without ROCm device library
make: *** [<builtin>: HelloWorld.o] Error 1
qiskit/initialize.py by Ciro Santilli 37 Updated 2025-07-16
In this example we will initialize a quantum circuit with a single CNOT gate and see the output values.
By default, Qiskit initializes every qubit to 0 as shown in the qiskit/hello.py. But we can also initialize to arbitrary values as would be done when computing the output for various different inputs.
Output:
     ┌──────────────────────┐
q_0: ┤0                     ├──■──
     │  Initialize(1,0,0,0) │┌─┴─┐
q_1: ┤1                     ├┤ X ├
     └──────────────────────┘└───┘
c: 2/═════════════════════════════

init: [1, 0, 0, 0]
probs: [1. 0. 0. 0.]

init: [0, 1, 0, 0]
probs: [0. 0. 0. 1.]

init: [0, 0, 1, 0]
probs: [0. 0. 1. 0.]

init: [0, 0, 0, 1]
probs: [0. 1. 0. 0.]

     ┌──────────────────────────────────┐
q_0: ┤0                                 ├──■──
     │  Initialize(0.70711,0,0,0.70711) │┌─┴─┐
q_1: ┤1                                 ├┤ X ├
     └──────────────────────────────────┘└───┘
c: 2/═════════════════════════════════════════

init: [0.7071067811865475, 0, 0, 0.7071067811865475]
probs: [0.5 0.5 0.  0. ]
which we should all be able to understand intuitively given our understanding of the CNOT gate and quantum state vectors.
quantumcomputing.stackexchange.com/questions/13202/qiskit-initializing-n-qubits-with-binary-values-0s-and-1s describes how to initialize circuits qubits only with binary 0 or 1 to avoid dealing with the exponential number of elements of the quantum state vector.
www.tudogostoso.com.br/receita/3468-bolo-de-fuba-cremoso.html
Knol by Ciro Santilli 37 Updated 2025-07-16
Very similar to OurBigBook.com!
People who worked on it:
Video 1.
How to use Google Knol by Hack Learning (2011)
Source. One of the last users of the website for sure! The owner of that YouTube channel is a Mark Barnes:
Video 2.
Jimmy Wales on Google's Knol (2008)
Source.
Replying to a listener phone-in question WNYC radio, mediated by Brian Lehrer.
It was about to launch it seems, and it was not clear at the time that anyone could write content, as opposed to only selected people.
Jimmy then corrects that misinformation. He then clearly states that since there can be multiple versions of each article, including opinion pieces, like OurBigBook.com, Knol would be very different to Wikipedia, more like blogging than encyclopedia.
Video 3.
Google Knol: the future of academic journals? by Doug Belshaw (2010)
Source.
Bibliography:

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