# Energy-efficient inference chip developer FuriosaAI raises $620M to solve the data center power bottleneck

DevFeed: [Energy-efficient inference chip developer FuriosaAI raises $620M to solve the data center power bottleneck](<https://devfeed.tech/articles/energy-efficient-inference-chip-developer-furiosaai-raises-620m-to-solve-the-data-center-power-bottleneck-105744.md>)

Original publisher: [Read original article](<https://siliconangle.com/2026/10/28/energy-efficient-inference-chip-developer-furiosaai-raises-620m-to-solve-the-data-center-power-bottleneck/>)

Author: Mike Wheatley

Published: 2026-10-29T03:08:07Z

Content type: news

Language: en

Sources: [SiliconANGLE](<https://devfeed.tech/sources/siliconangle.md>)

Topics: [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Chip design](<https://devfeed.tech/topics/chip-design.md>), [Sustainable Computing](<https://devfeed.tech/topics/sustainable-computing.md>), [vllm](<https://devfeed.tech/topics/vllm.md>)

Tags: [ai-accelerators](<https://devfeed.tech/tags/ai-accelerators.md>), [ai-chips](<https://devfeed.tech/tags/ai-chips.md>), [ai-inference](<https://devfeed.tech/tags/ai-inference.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [challenge](<https://devfeed.tech/tags/challenge.md>), [chip](<https://devfeed.tech/tags/chip.md>), [chip-startup](<https://devfeed.tech/tags/chip-startup.md>), [data](<https://devfeed.tech/tags/data.md>), [data-center](<https://devfeed.tech/tags/data-center.md>), [data-center-power](<https://devfeed.tech/tags/data-center-power.md>), [developer](<https://devfeed.tech/tags/developer.md>), [energy](<https://devfeed.tech/tags/energy.md>), [energy-efficient-chips](<https://devfeed.tech/tags/energy-efficient-chips.md>), [funding](<https://devfeed.tech/tags/funding.md>), [furiosaai](<https://devfeed.tech/tags/furiosaai.md>), [inference](<https://devfeed.tech/tags/inference.md>), [inference-chips](<https://devfeed.tech/tags/inference-chips.md>), [infra](<https://devfeed.tech/tags/infra.md>), [investment](<https://devfeed.tech/tags/investment.md>), [june-paik](<https://devfeed.tech/tags/june-paik.md>), [korean](<https://devfeed.tech/tags/korean.md>), [news](<https://devfeed.tech/tags/news.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-corp](<https://devfeed.tech/tags/nvidia-corp.md>), [power](<https://devfeed.tech/tags/power.md>), [processors](<https://devfeed.tech/tags/processors.md>), [raises](<https://devfeed.tech/tags/raises.md>), [semiconductors](<https://devfeed.tech/tags/semiconductors.md>), [series-c](<https://devfeed.tech/tags/series-c.md>), [solve](<https://devfeed.tech/tags/solve.md>), [south-korea](<https://devfeed.tech/tags/south-korea.md>), [south-korean-chips](<https://devfeed.tech/tags/south-korean-chips.md>), [the-latest](<https://devfeed.tech/tags/the-latest.md>)

## AI overview

FuriosaAI raised $620 million at a reported $2.9 billion valuation to scale production of its energy-efficient inference chips. The article frames data center power availability as a constraint on AI expansion and says FuriosaAI's RNGD-based Tensor Contraction Processor uses less than half the power of Nvidia GPUs while supporting PyTorch and vLLM. Customers cited include LG Group, Upstage and Samsung. The company plans to produce 20,000 chips this year and 40,000 in 2027, and is co-developing a third-generation processor with Broadcom. These performance and production claims are attributed to the company or its backers.

## Source excerpt

South Korean inference chip startup FuriosaAI Inc. said today it's ready to step up its challenge to Nvidia Corp. after raising a bumper $620 million round of funding to scale production of its energy-efficient artificial intelligence processors. The round brings FuriosaAI's valuation to a cool $2.9 billion, the startup said. The investment was led by [...] The post Energy-efficient inference chip developer FuriosaAI raises $620M to solve the data center power bottleneck appeared first on SiliconANGLE.