#python#deep_learning#intel#machine_learning#neural_network#pytorch#quantization
Intel Extension for PyTorch boosts the speed of PyTorch on Intel hardware, including both CPUs and GPUs, by using special features like AVX-512, AMX, and XMX for faster calculations[5][2][4]. It supports many popular large language models (LLMs) such as Llama, Qwen, Phi, and DeepSeek, offering optimizations for different data types and easy GPU acceleration. This means you can run advanced AI models much faster and more efficiently on your Intel computer, with simple setup and support for both ready-made and custom models.
https://github.com/intel/intel-extension-for-pytorch
It might look a little confusing at first, but pay attention.
On this chart we have DXY, GOLD and BTC.
DXY, which is a representative chart of the USD, has an inverse relationship with GOLD and BTC.
This is because when the dollar is strong, big money moves into high interest bonds that are safe.
When the dollar weakens, big money moves into safe havens and riskier assets.
What we can firstly see on the chart is that every time DXY drops, GOLD almost instantly moves higher.
Secondly, we can see that BTC also moves higher, but it lags behind GOLD.
But that’s not the most interesting thing…
The most interesting thing here is that every single time DXY has entered a down trend, BTC has began its move between 133 days and 140 days later.
This time, that gives us an end of May date as to when BTC will begin its next true move higher.
It’s just facts, right there for you to see.
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