upgrading to the present gen nvidia graphics card.
general tasks outline.
install gpu
update device drivers
download and compile python libraries
download and train ai models
from hugging face, nvidia build, claude code.
download nvidia exosystem.
cuda , python, ai, robotics, USD, blender, unreal engine.
to continue the forward momentum into the future, by bringing the gap into present gen software engineering.
the idea is more power to the individual.
software engineering and services provisioning is evolving into web 4.0
beyond bitcoin, crypto smart contracts. beyond web 3, the ai will move back into robotics and vehicles and design and engineering manufacturing.
CAD CAM , architecture, structural engineering, electronics validation, product and market engineering. there is now field of computation which is not or will not be enhanced with the ai attachment.
groups of agentic ai, chemical and medical engineering, architecture, manufacturing, social media, the creative arts, software products, the list is incredible really.
there is now a need to rebuild the tech stack for ai first usage.
the key building block is of course the nvidia hardware platform, and the vast ecosystem that has grown out of the hardware bedrock.
the drawbacks of the emergent situation.
is there only so much that can be acheived virtually? for example crypto markets that expose price on commodities, stocks and assets, but without actualy physical deleivery, which is causing an industrial disjoint between financial services and the so called, fintech space, and a bit of a large gap between this virtual digital economey and the hard physical reality.
This is a bit of a social cultural phenomenae, whereby infinite and unlimited, online bitcoin and cryptos change hands dynamically but with out the dialling of the actual economy at large in the wider world.
Due to the mathematical complexities as the number of interconnects has increased trillion fold and the re folding back out of the computed world, we could see a hundred times GDP and profit value created than the previous history of the entire of human kind up until now.
the rate of change and pace of transformation, and the speed of capital and dynamism of ai creativity, combined with the shear technical computational power, will move markets, business, RandD, technological devlopments along all lines of continuous historical developments.
therefore when humanity at large gets beyond the present social difficulties the future could be very much better.
there is such a time of massive upheavel globally, due primarily to the technical network overlay.
lets not forget computers, networks, satellites, telephone exchanges, LANS, 100s millions of website, billions of social media platforms, and massive business technical subscriptions, for example the capitalist investment battle to become the netflix of AI.
globally this is a massive conflict of evolution and technical political cultural forces were effectively we are all part of an globally available network capabilities.
global logistics, spatial satellite networks,
power distribution, naval logistics, are all cases of power control. technological developments.
the global distribution of networked intelligence , and the shear incredible developments in electronics systems product engineering.
We have discussed previously the almost impossible task of developing releasing an electronic product that could directly compete at a global level against the major tech players.
in short data centres solve a stop gap because of the almost impossibility of things being any other way.
in terms of dollar value. technically speaking a company like NVIDIA or apple is that big it has the same economic value as continents and whole global regions combined, for example the company is bigger than say half the nations on the planet.
this represents a serious technical sophistication of worldwide consequences a state of social evolution, far beyond religions, countries, perhaps even language barriers or even racial or genetic boundaries.
this is a fascinating evolutionary consequences of the intellectual scientific technological explosion.
in terms of network evolution this is quite incredible really when you put it up against history , evolution.
there is a technological breakaway human social group, the technologists, however financial engineering and social evolution play a more important role than the scientific management of progression.
most nations on the earth, and most business and manufacturing capabilities are always going to be left behind in terms of evolution.
ai will change the genome, and indeed the biome, and will be a new and emergent evolutionary pressure, which is what we are seeing take affect globally.
it would be difficult to actually call out where this is all heading in the next 5 ,10 or 15 years , but we can identify the strong lines of development and try and predict along those lines.
in terms of the wealth and shear capital volume and global supple chain and value added manufacturing and global materials supply and logistics it is next to impossible to see the complexities emergent forthcoming.
over the the next twenty years i predict by that time the world will very much be a radically transformed even as compared to today.
there are inevitably going to be material supply and constraint.
robotics powered by AI and vast computational resources are supposed to be able to provide the capability to get us past this chapter of evolution.