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FuriosaAI & OpenAI Demo: AI Chatbot Runs on Custom Chips Without GPUs

by Rachel Kim – Technology Editor

FuriosaAI Demonstrates AI Chip with ⁢OpenAI, following Meta Acquisition Rejection

Seoul, South Korea – South Korean AI⁣ hardware startup FuriosaAI publicly demonstrated‌ its latest high-performance AI inference chip alongside OpenAI, showcasing a commitment to⁤ sustainable AI solutions. The demonstration, held in⁢ Seoul, highlights the growing demand for specialized AI hardware as models ⁤become increasingly complex and resource-intensive.

furiosaai’s flagship product,⁢ first presented at Hot Chips 2024, is built on TSMC’s 5nm process and features dual HBM3⁤ memory, leveraging the company’s Tensor ‌Contraction processor architecture. The design prioritizes efficiency through ⁣maximized parallelism and reduced⁤ needless computation. This⁤ demonstration with OpenAI underscores FuriosaAI’s focus on delivering ⁣affordable and energy-efficient AI infrastructure⁢ for enterprise deployments.

The company recently secured ⁣$125 million in Series C bridge funding and⁣ has established a ⁣partnership with LG AI⁤ Research. FuriosaAI’s hardware⁢ has already been deployed in enterprise⁤ settings,undergoing testing for both efficiency⁤ and reliability,and has ‍attracted interest from major global technology​ firms.

Notably, FuriosaAI previously rejected an $800 million ​(1.2 ⁢trillion won) acquisition offer from Meta in April, despite the bid exceeding the startup’s ‍estimated market value by approximately $300 million. The decision stemmed from disagreements ‌regarding the company’s future direction under Meta’s ownership.

Industry​ analysts suggest this demonstration​ and FuriosaAI’s independent path signal a broader trend: ⁤the increasing importance of specialized hardware ‍to manage the escalating energy and infrastructure costs associated with advanced AI models.‌ Startups like FuriosaAI⁣ are positioning themselves as providers of cost-effective solutions for businesses seeking to integrate AI without prohibitive expenses.

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