The Chip Mafia
Few weeks ago, I wanted to deploy an open-source LLM on a cloud server with a GPU. Simple enough, right? I thought I could rent a server with GPU in a click of a button, like the way I'd been doing with CPUs till now.
To my surprise, I found that getting GPUs requires special permissions. I had to write a personalized letter explaining my requirements, then went through an interview process with the cloud provider. I was told to wait for approval but... I never got any response from this reputed provider.
A bit of digging revealed this isn't just my problem, or even an Asian problem. It's a global phenomenon - the "GPU approval queue." Here's what I found about who controls this ecosystem, and how India ended up on the outside looking in.
NVIDIA's Calculated Gamble
NVIDIA dominates 90% of the AI chip market today through brilliant strategic vision. In 2006, they made a deliberate bet called CUDA – essentially giving away free software tools to let developers use graphics cards for general computing. It was expensive and risky, but CEO Jensen Huang believed parallel computing would become essential beyond graphics. The payoff came in 2012 when Alex Krizhevsky used NVIDIA GPUs to win the ImageNet challenge, sparking the AI revolution. NVIDIA's decade-long investment in developer ecosystems positioned them perfectly to capture the AI boom.
The Ecosystem
But NVIDIA doesn't make their own chips. They design them, then send blueprints to Asian manufacturers – primarily Taiwan's TSMC (which now commands 67% of global chip manufacturing), South Korea's Samsung, and US memory giant Micron. These manufacturers depend on Netherlands' ASML for the $380 million machines that print circuits onto silicon wafers. ASML sources components from hundreds of suppliers across the US, Europe, and Japan. The United States and its allies dominate over 90 percent of global semiconductor equipment manufacturing – it's a chain where every critical link operates under US influence or alliance.
Meet the Chip Mafia
The US has orchestrated perhaps history's most sophisticated technology control system. China controls 90% of rare earth element production and 98% of gallium that feed global supply chains, but can't access the latest chip technology. Since June 2025, China allows the US to import rare earth elements again after trade negotiations, with Chinese exports surging 660%. However, China still cannot access cutting-edge chips and is limited to specially designed H20 processors - downgraded versions created specifically for Chinese export under US restrictions. Nvidia is actively seeking US approval to export its latest Blackwell GPUs to China, but these advanced chips remain banned. Meanwhile, Chinese firms have placed $16 billion in orders for these restricted H20 chips – a massive demand showing their desperation for advanced computing power. Every critical technology – from chip design software to lithography machines – requires US approval. It's economic leverage disguised as trade policy: nature belongs to China, but technology belongs to America.
How India Missed the Bus (And What It's Costing Us)
India's semiconductor story is one of spectacular missed opportunities. We had our first chip facility in 1984 – the same year TSMC was founded. While Taiwan built a semiconductor empire, India's facility was destroyed by fire in 1989, and we lacked the energy and commitment to rebuild meaningfully. It took a painstaking eight years for the facility to restart operations in 1997 – by then, the world had moved far ahead. We produced world-class engineers who designed chips for global giants, then imported those same chips at premium prices. Today, this costs us $24 billion annually in chip imports, with India importing 90-95% of its semiconductor needs – money flowing out of India to fund other nations' prosperity. Unlike China, we weren't banned from this ecosystem; we simply failed to show the persistence needed to overcome setbacks and build long-term capabilities.
The Chip Race: Catching Up While Looking Ahead
India's semiconductor journey shows both our challenges and opportunities. The Tata fab starting production in 2026 will begin with 28-nanometer technology – what Taiwan mastered in 2011. We're 15 years behind in silicon chips, and that gap is expensive to close.
But gaps can become advantages if you choose the right race. While others optimize existing paradigms, India is investing in quantum computing through its National Quantum Mission, neuromorphic chips, and photonic processors. Indian startups like QpiAI have already built a 25-qubit quantum computer called "Indus" and raised $32 million to scale up to 64-qubits by 2026. These technologies could make today's silicon supremacy irrelevant.
Technology advances exponentially while geopolitical tensions rise. India must move with unprecedented speed and focus, or risk permanent technological dependence. My GPU rental request is still pending – a small reminder of how far we have to go.
What do you think about India's semiconductor strategy? Are we choosing the right technologies to leapfrog the competition? Share your thoughts in the comments below.