C-DAC AUM Processor Silicon Showcase & Indic Domain Reasoning Benchmarks

A technical breakdown of C-DAC unveiling silicon benchmarks for the AUM HPC-AI Processor alongside localized Indic reasoning model releases achieving parity with proprietary frontier models.

Hardware: High-performance microprocessor silicon die & packaging (C-DAC AUM Architecture)
96 Neoverse Cores · HBM3 Interconnect

C-DAC AUM Processor Silicon Specs

At SEMICON India, the Centre for Development of Advanced Computing (C-DAC) revealed operational benchmarks for India’s indigenous high-performance computing silicon:

• Compute Engine: 96 Arm Neoverse V2 cores fabbed on advanced 5nm process technology.
• Memory Architecture: Integrated High-Bandwidth Memory (HBM3) delivering over 1.5 TB/s bandwidth, purpose-built for sovereign AI training and HPC fluid dynamics.
• Hardware Independence: Eliminates sole reliance on imported foreign accelerator supply chains for national compute initiatives.

Specialized Indic Domain Models

Simultaneously, open-weight model architectures fine-tuned specifically for Indic languages (including Bodhan AI and localized DeepSeek variants) demonstrated that high-parameter generalist models are often overkill for regional workflows:

1. Phonetic Tokenization: Custom Indic tokenizers prevent token inflation, reducing prompt token counts in Hindi, Tamil, and Telugu by up to 52%.
2. Cost Parity: Running compact 8B and 14B domain models delivers comparable reasoning accuracy to GPT-4o at less than 10% of the operational inference cost.

Verified Primary Citations

• C-DAC AUM Architecture Whitepaper: SEMICON India 2026 Proceedings
• Indic Language Tokenization & Model Hub: Hugging Face OpenLLM Indic Leaderboard