At first glance, Nvidia's story is that of a Californian company that anticipated the artificial intelligence revolution.
But for those who observe the deep thread of computational innovation, another reality emerges: the rise of the modern GPU owes as much to the early deep learning researchers as to the cypherpunks mining Bitcoin on GeForce graphics cards in the early 2010s.
Nvidia didn't just build processors.
She manufactured the tool that allowed the world to rediscover the value of calculation — whether it's about fostering AI… or securing a free, decentralized, and global currency.
Valued today more than 5 trillion dollarsthe company establishes itself as the computational backbone of the 21st century.
Originally, Nvidia was just a bold bet on 3D. Then, with each technological breakthrough, the company even indirectly benefited from the rise of Bitcoin and cryptographic networks.
1993: three engineers, one vision, and an intuition ahead of the world
Nvidia was founded in 1993 by three engineers:
- Jensen Huang
- Chris Malachowsky
- Curtis Priem
Their thesis?
The future would not be limited to the CPU — sequential processor, heart of the classic PC — but to a new type of computing, massively parallel, designed to manipulate pixels, textures and 3D transformations.
At the time, it seemed esoteric.
Video games are not yet a global industry, much less a strategic lever for intensive computing.
However, in 1999, the GeForce 256 marks a turning point: Nvidia invents the GPU.
No one knows it yet, but Nvidia has just opened the door to two revolutions:
- massive simulation (gaming, 3D, engineering)
- computational sovereignty (AI, crypto, physics, science)
2006: CUDA — a technical decision that reshuffles the world's cards
In 2006, Nvidia announced CUDA, a platform allowing developers to use the GPU as a scientific processor.
This moment is fundamental to modern industrial history, but it goes unnoticed by the general public.
For the first time:
- a GPU can do more than just images
- He becomes a universal mathematical accelerator
- the door opens onto modern AI
- …and on an unexpected monetary adventure: Bitcoin
2009–2013: Bitcoin and GPUs — the school of decentralized computing
When Satoshi Nakamoto launches Bitcoin In 2009, the currency was mined on CPUs.
Then very quickly, the pioneers discovered that Nvidia GPUs offered much greater power for the same energy cost.
The forums of the time bear witness to this:
wild rigs, overheated fans, graphics cards lined up on makeshift shelves.
The first bitcoiners unwittingly became specialists in computational hardware.
Nvidia is at the heart of this collective education in computing.
ASICs will supplant GPUs in 2013 — but the seed has been planted: Distributed computing can secure a monetary network, without banks, without states, without a central authority.
Bitcoin has proven that computation is not just a technical function, but a tool of sovereignty.
Nvidia would later apply this understanding to AI.
2012–2020: AI meets GPU — and the world changes
As GPUs move from the basements of early Bitcoin miners to research labs, another revelation occurs.
In 2012, researchers used Nvidia GPUs to train a neural network capable of recognizing a cat.
A minor detail? Not really.
This is the moment when AI ceases to be theoretical and becomes applied, scalable, and economical.
The rush begins.
- Tesla
- Microsoft
- OpenAI
- Military laboratories
- Biotech and climate labs
They all point towards Nvidia.
The world is entering themodel economysimulation, continuous learning.
2020–2025: Nvidia becomes a global strategic player
AI is exploding.
Each more powerful model requires exponential amounts of computation.
Nvidia provides:
- fleas
- the systems (DGX)
- interconnections (NVLink)
- the software (CUDA + cuDNN)
- and soon: turnkey data centers
Demand exceeds supply.
Geopolitics gets involved.
Export restrictions to China.
National races with sovereign calculation.
Techno-military coalitions.
And Bitcoin today? The GPU as a legacy of sovereignty
While industrial mining now relies on ASICs, Nvidia's role in the Bitcoin ecosystem remains:
- advanced blockchain analysis
- Energy simulation for mining
- Consulting and visualization of distributed networks
- cryptographic research
- ML tools on Bitcoin and Lightning data
- Cyber defense against complex network attacks
And above all — a philosophical legacy:
The GPU taught the world that computing could be a political tool.
Bitcoin used it to free up currency.
AI uses it to dominate cognitive systems.
Two visions, two directions.
But one common denominator: computing power as the basis of power.
