Open-source GPU intelligence · real data, dual-track

Reverse-engineer the GPU.
Rebuild it open, in Pune.

We tear down the modern GPU stack to board, architecture and packaging level — then map the one realistic path for India to build an open GPU: proven open RISC-V IP, Indian OSAT/ATMP packaging, and a clearly-labeled 2035 chiplet vision.

14research pillars
90genius · wow · hop factors
₹76kcrIndia Semiconductor Mission
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GB202 die (TSMC 4N) GDDR7 stack VRM / power PCB substrate
Exploded board-level model · drag to rotate · scroll-driven
Track A · Buildable today
Reverse engineering — legitimately

The 5090, taken apart honestly

Public teardowns and JEDEC datasheets let us reconstruct the GB202 board — power delivery, memory, recovered BOM — without any proprietary netlist. But we are blunt about one wall: the silicon is TSMC 4N EUV. No pick-and-place line makes 4nm transistors. So we separate what's truly buildable from what needs a fab.

STEP 01

Board-level teardown

PCB layer count, VRM phase topology, 12V-2x6 power path, GDDR7 placement and length-matching — all observable, all reproducible by an Indian board house.

STEP 02

Architecture intelligence

SIMT execution, SM layout, memory hierarchy and the CUDA/PTX/SASS software moat — mapped from public docs to know exactly what an open core must answer.

STEP 03

Open RTL substitution

Drop in Vortex (RISC-V GPGPU) or a minimal core, prototype on FPGA, target a mature/open node (130–65nm shuttle, SCL Mohali) — silicon you can actually tape out.

STEP 04

Indian packaging

Assemble and test at Kaynes/TSAT-class OSAT. Chiplet/2.5D packaging is the bridge between imported leading-edge dies and a sovereign open GPU.

⚠️ Honest framing. A 4nm RTX-5090-class monolithic die cannot be fabricated with surface-mount / pick-and-place assembly — that requires EUV lithography in a multi-billion-dollar fab. Everything on the "buildable today" track is board-, RTL-, FPGA- and packaging-level work that India can genuinely do now. The leading-edge monolithic die remains a labeled 2035 vision.
The competitor map

Everyone attacking Nvidia — and the one thing each does that Nvidia can't

Track A · India reality
Track A · The real build
Lowest technical detail — no hand-waving

How you actually build a real open GPU

Three honest phases, each with the real bill of materials, the real machines, real cost bands, and the output you get. Phase 0 gives you a working GPU in weeks; Phase 1 puts real Indian-designed silicon in your hand; Phase 2 is the labeled 3090/5090-tier roadmap that needs a fab partner — and we say so.

Track A · Reuse what Pune already has
Make-in-India, made concrete

Reuse local Pune industry to make our own GPUs

Every buildable step maps to capability that already exists around Pune — the same SMT/reflow lines our drone factory runs, the Chakan precision corridor, C-DAC/IIT RISC-V talent, and India's new OSAT/ATMP push. New silicon, new jobs, local supply chain.

Proof it's real

People who actually built & showed open GPUs

Not theory — real engineers who taped out or demoed working open GPUs, from a maker-fair card to silicon on an open PDK.

crawl4ai → ChromaDB → 1.58-bit BitNet

Ask the brain

The backend ingests the open engineering corpus and the 12-book reading ladder. Search it right here.

Static client-side search over the on-site corpus. The full pipeline (ChromaDB + BitNet) runs server-side via backend/vectordb/ingest.py.
Track B · 2035 vision (speculative)
Excavated from the research corpus

90 factors: 30 genius · 30 wow · 30 hops to 2035

Generated by the Wave-1 research workflow from real sources. Genius & wow factors are cited; hop factors are labeled forward-looking.

⚙️ 30 Genius
✨ 30 Wow
🚀 30 Hop · 2035
The electronics library

The 12-book first-principles ladder

The reference manuals that feed the ChromaDB + 1.58-bit BitNet brain — sourced legally only (buy, a university/public library, or the authors' open lecture material; no shadow libraries). Ordered from transistor to GPU.