Mumbai: For years, India’s technology story has been told in familiar terms: software engineers, IT services, cloud platforms and increasingly, artificial intelligence. The next chapter may be considerably less glamorous — and considerably more expensive.
India is now trying to build the physical machinery behind the AI economy, from semiconductor fabrication and chip packaging to specialised storage hardware. A recent partnership in Kochi, where SFO Technologies is working with US-based Smart IOPS to manufacture specialised AI data-storage hardware, offers a useful glimpse of where the country’s ambitions are heading.
It is a subtle change in the narrative. India does not merely want to write the software running tomorrow’s AI systems. It increasingly wants to manufacture some of the things those systems depend upon.
And, naturally, the hardware does not care how inspirational the keynote speech was.
The AI Hardware Beneath The Hype
AI needs far more than GPUs.
Models require enormous quantities of data, high-speed storage, networking equipment, memory, power infrastructure and specialised chips. As AI workloads move beyond cloud experimentation into enterprise systems, industrial applications and edge devices, the infrastructure underneath them becomes just as important as the algorithms sitting on top.
That is why the Kochi development is worth watching.
SFO Technologies, the flagship company of the Kochi-based NeST Group, has partnered with Smart IOPS to manufacture specialised AI data-storage hardware locally. The collaboration combines Smart IOPS’ technology with SFO Technologies’ existing manufacturing capabilities.
The significance goes beyond one product line. It demonstrates that India’s AI hardware opportunity may extend into storage, systems integration and specialised components, rather than stopping at semiconductor fabs.
From Chips To The Supply Chain
India’s semiconductor strategy is also becoming broader.
The original Semicon India Programme was launched with a ₹76,000-crore outlay, with the objective of building semiconductor and display manufacturing capabilities. By February 2026, the government said 10 projects representing about ₹1.6 lakh crore in envisaged investment had been approved.
By May, the number of approved projects had reached 12, with cumulative investment of roughly ₹1.64 lakh crore. The government said three companies — Micron, Kaynes and CG Semi — had started commercial production, while another was expected to begin shipments during 2026.
Then came the larger second act.
In July, the Union Cabinet approved Semicon India Mission 2.0 with an outlay of ₹1.275 lakh crore. The next phase is intended to move further into semiconductor equipment and materials, full-stack Indian chip design, and stronger domestic and global supply chains.
That distinction matters.
Building a fab is one achievement. Building the ecosystem around it is another.
The Money Is Real, But So Is The Difficulty
There is a compelling economic case for India’s hardware push.
The upside:
- Greater domestic resilience for strategically important electronics.
- New manufacturing and engineering jobs.
- Opportunities for Indian chip-design companies and hardware suppliers.
- A stronger position in global electronics supply chains.
- Potential growth in AI infrastructure, storage and edge-computing manufacturing.
But semiconductor manufacturing is not an industry where enthusiasm substitutes for execution.
Fabs require enormous capital, specialised chemicals and gases, sophisticated equipment, reliable power and water, stringent quality controls and highly trained personnel. India is entering a market dominated by established ecosystems in Taiwan, South Korea, China, Japan and the United States.
The government itself has acknowledged the intensity of global competition. Its semiconductor programme has been recalibrated to strengthen capabilities across manufacturing, display fabrication and design, while newer policy efforts focus increasingly on the surrounding supply chain.
In other words, announcing a semiconductor facility is the easy part. Getting millions of components to behave exactly as expected, repeatedly and economically, is where the real examination begins.
Storage Could Become The Less Obvious Battleground
The Kochi initiative is particularly interesting because AI storage is easy to overlook.
When AI is discussed, the spotlight naturally falls on processors. Yet modern AI systems constantly move enormous datasets between storage, memory, and compute infrastructure. Faster storage can influence how quickly models load, how efficiently data is accessed, and how smoothly AI workloads operate.
The global storage industry is already adapting to this shift. At COMPUTEX 2026, Lexar showcased AI-grade Gen5 storage technologies designed around local AI workloads, with its next-generation concepts targeting bandwidth of up to 11GB/s.
That is an indication of where the market is heading: AI is turning storage from a relatively invisible component into a more performance-sensitive part of computing.
For India, manufacturing such infrastructure domestically could create an additional avenue into the AI economy without requiring the country to immediately compete at the very frontier of processor fabrication.
India’s Software Reputation Meets A Physical Reality
India already possesses a substantial semiconductor-design ecosystem. Government data shows 24 semiconductor design projects have received support, while 105 fabless chip-design companies have been given access to advanced design infrastructure. Seven chips had been successfully fabricated from 16 designs that had been taped out across multiple foundries.
That gives India something valuable: engineering talent and design capability.
The harder task is connecting that capability to manufacturing, packaging, testing, materials and equipment.
If that chain gradually takes shape, India’s AI story could become far more consequential than another collection of chatbot launches.
The irony is rather delicious. After decades of building the software that powered everyone else’s technology, India is now attempting to manufacture more of the machinery itself.
The opportunity is enormous. So is the bill.
And unlike software, semiconductor factories do not accept motivational quotes as payment.
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