FuriosaAI raises $620M Series D at $2.9B valuation for RNGD chips
READ THE ORIGINAL SOURCEOpen original sourcefuriosa.ai · Opens in a new tabFuriosaAI announced a $620 million Series D at a $2.9 billion post-money valuation with international and Korean investors. The company says its RNGD inference accelerator is in mass production, with 20,000 cards planned this year and secured memory and fab capacity to more than double that in 2027. The round funds global RNGD scaling and a third-generation chip built on its Tensor Contraction Processor architecture, with Broadcom and other partners. The company also cites SDK performance gains and customer deployments such as Samsung SDS and LG Group.
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FuriosaAI announced a $620 million Series D at a $2.9 billion post-money valuation with international and Korean investors. The company says its RNGD inference accelerator is in mass production, with 20,000 cards planned this year and secured memory and fab capacity to more than double that in 2027. The round funds global RNGD scaling and a third-generation chip built on its Tensor Contraction Processor architecture, with Broadcom and other partners. The company also cites SDK performance gains and customer deployments such as Samsung SDS and LG Group.
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Key findings from the stored brief
- The company says RNGD reached mass production in January 2026 and plans 20,000 cards this year.
- RNGD is a 180-watt, air-cooled PCIe card; eight form the NXT RNGD Server at 4U and 3 kW.
- Round proceeds target scaling RNGD production and deployments globally and developing a 2nm, multi-die Gen 3 chip.
- SDK 2026.4 reportedly raises token generation per watt across 18 models versus 2026.3, including 138% on gpt-oss-120B.
Source claims not independently checked; performance and efficiency comparisons come from the company's own statements.
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Korean inference-chip maker FuriosaAI closed a $620M Series D at a $2.9B post-money valuation, with Korea's National Growth Fund plus Cisco Investments, Infinitum and others. It says RNGD is in mass production (20,000 cards this year, capacity to more than double in 2027) and a third-generation 2nm multi-die chip with HBM4/4E is in development with Broadcom.
Source claims not independently checked; performance and efficiency comparisons come from the company's own statements.
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- x post ↗ · 11 likes, 3 reposts, 1 replies, 0 quotes · observed 10/29/2026, 10:09:15 AM
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Why this may matter
The announcement signals continued investment in non-GPU inference accelerators focused on tokens per watt, a constraint many data centers face as power availability tightens. Customer deployments named in the post would be a concrete test of the claims.
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