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IIT Delhi team creates native micro‑GPU for affordable gadgets

Reported by Arjun Sethi (Fact-Checker) · Indian Express - Education ·

Unconfirmed — Reported by one source so far

Reported by one source so far

Worth knowing
IIT Delhi team creates native micro‑GPU for affordable gadgetsRepresentative image · Pexels

IIT‑Delhi researchers have built a programmable micro‑graphics processing unit that can be made in India, marking the first working university‑designed micro‑GPU. The chip runs on a Spartan‑7 FPGA rather than a stand‑alone silicon die and targets graphics and display tasks, not high‑end AI workloads. Potential uses include industrial control panels, e‑rickshaw navigation screens, educational e‑book readers, small‑boat navigation terminals and other low‑cost embedded visual systems. The project was led by M‑Tech students Nammi Akash and M Ravi Teja under the guidance of professors Jayadeva and Kaushik Saha of the Electrical Engineering department. The team created a programmable graphics‑processor architecture described in RTL and implemented it on the FPGA platform, aiming for a compact design that could later be turned into an ASIC. Akash said the goal was a small yet truly programmable graphics core suitable for FPGA implementation and future ASIC realization to help bridge the digital divide. Teja added the architecture is scalable and can serve as an IP block for a range of affordable devices. Researchers are now working on an 8‑ to 16‑core vector‑style GPU, an optimized compiler and a software toolchain, with plans to prototype the design using a 65‑nm ASIC process that favors low cost and power efficiency. The next steps involve scaling the architecture, building the supporting software ecosystem and evaluating a full ASIC version.

ExplainerWhy this matters

What Happened

IIT‑Delhi engineers demonstrated a micro‑GPU built on a Spartan‑7 FPGA, showing that a fully programmable graphics core can be designed locally.

Why It Matters

A home‑grown graphics processor can lower the cost of visual interfaces in cheap devices, helping schools, small businesses and rural users access digital tools without expensive imports. Using a 65‑nm process keeps production cheap and power use low, making the chip suitable for battery‑run gadgets and mass‑market products.

What Happens Next

The team will expand the design to an 8‑16‑core vector engine, finish a compiler and software stack, and try to fabricate a dedicated ASIC using the 65‑nm node. Success will depend on securing funding and chip‑fab capacity; if achieved, the processor could enter low‑cost devices within a few years, while further scaling may lead to more powerful yet affordable graphics solutions.

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