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FuriosaAI develops AI accelerators for data centers. Its flagship RNGD chip is a power-efficient accelerator designed to boost performance per watt for running large language models and other demanding AI workloads. The hardware is configurable with multiple processing elements to fit different workloads, and it is paired with advanced compiler technology and profiling tools to identify bottlenecks and optimize efficiency. This combination of flexible hardware and software optimization differentiates FuriosaAI from competitors, focusing on maximizing performance while keeping energy use low. The company targets data centers and enterprises that need high-performance, energy-efficient AI solutions, and aims to make AI computing more sustainable and scalable by selling its chips and related software tools and pursuing long-term contracts with large-scale customers.
Industries
Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$961.3M
Headquarters
Seoul, South Korea
Founded
2017
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Total Funding
$961.3M
Above
Industry Average
Funded Over
7 Rounds
Hybrid Work Options
White Paper: Benchmarking RNGD on Backend.AI for 1.3-1.5x greater efficiency in enterprise AI inference. Technical Updates August 6, 2026 FuriosaAI has partnered with AI infrastructure platform provider Lablup to publish a new white paper evaluating an enterprise AI inference stack that combines Furiosa's RNGD inference accelerator with Lablup's Backend.AI orchestration platform. AI Accelerators Developer Experience
FuriosaAI at ICML 2026: Advancing full-stack software efficiency August 6, 2026 The Furiosa Team AI Accelerators Developer Experience
FuriosaAI partners with I/ONX and Velox for new 15 MW AI data center in Sweden August 4, 2026 The Furiosa Team AI Accelerators Developer Experience
FuriosaAI and Samsung SDS Launch Korea's First Domestic NPUaaS to Expand Enterprise AI Access July 20, 2026 The Furiosa Team AI Accelerators Developer Experience
Artificial intelligence hardware startups are securing significant capital as investors shift focus toward specialized silicon capable of challenging Nvidia’s
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Industries
Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$961.3M
Headquarters
Seoul, South Korea
Founded
2017
Find jobs on Simplify and start your career today