Hi. What is rtx 4090 as a brain 🧠 ?
Hi!

I'm sorry but this question is not clear. RTX 4090 likely refers to a NVIDIA graphics card which is not the same as a biological brain.

According to NVIDIA, the GeForce RTX 4090 graphics card features 16384 Cuda cores, runs at between 2.23 and 2.52 GHz, has 24 GB of GDDR6X RAM, and includes 3rd generation raytracing cores and 4th generation tensor units which are specialized in AI processing. It also draws 450 Watts and is rated for up to 90°C (194°F)

In contrast, the human brain features about a hundred billion neurons, and an estimated 150 trillion synapses. Together, alongside other features such as the Glia cells, they make up a large, complex network driven by electric spikes. Individual neocortical neurons, according to some estimates, spike on average about 0.16 or 0.29 times per second, though these are very rough estimates with a lot room for error. Maximum firing rates can be quite a bit higher. Due to the mechanism of firing and then refactoring to build up the electrochemical potential in neurons and synapses to send another spike, it is very unlikely that the spiking rate could ever exceed about 1000 Hz (1 kHz)
According to some sources, most likely, neurons fire at rates between 0.1 and 2 Hz (so once in ten seconds or twice in one second), although some sources cite quite different numbers. There may be genetic variations and variations across species involved as well.
Proteins that make up the body and, in particular, the brain start denaturing as early as 40°C (104°F) and long exposures to such temperatures without adequate cooling mechanisms (such as sweating) may pose significant risks to health.

While GPUs and brains both are information processing devices, the differences are vast and they are extremely difficult to compare. A single biological neuron in the brain is likely much more complex than one neuron in any given AI, so not even just focusing on the tensor cores available in a NVIDIA GeForce RTX 4090 GPU, which are included for the purpose of accelerating the sort of processing modern AI systems tend to perform, would give a satisfactory answer to how they compare, or what a GPU like that would be as a brain.