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FuriosaAI

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uuid00000w4

Namestring
FuriosaAI
Legal namestring
주식회사 퓨리오사에이아이
Websiteurl
furiosa.ai
Company typeenum
Private
Founded yearint
2017
Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersSeoul, South Korea
HQ citystring
Seoul
HQ countrystring
South Korea
HQ regionstring
Asia
Markets served

Serves global market

Offices6 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI inference accelerators, data center AI chips, neural processing units, AI semiconductors, LLM inference hardware
Industry4 codes
1AI Accelerators (GPUs/TPUs/NPUs/ASICs)
CodeHDAAAAAAPrimaryYes
2AI Server Systems & HGX/Accelerator Platforms
CodeHDAAAAABPrimaryNo
3AI/Neural Processing Units (NPUs) & ML Accelerators
CodeHDAHAJAFPrimaryNo
4AI Compiler, Runtime & Kernel Optimization Software (CUDA/ROCm/XLA, graph compilers)
CodeHDAAAAAIPrimaryNo
NAICS code2 codes
  • Computer and Peripheral Equipment Manufacturing3341
  • Computer Systems Design and Related Services54151
Product category
AI Inference Accelerators
GTM motion5 records

Each record includes

Type, Description, Source

Revenue model3 records
1AI Accelerator Hardware Sales
TypeHardware Sales
Description

Sale of RNGD PCIe accelerator cards and NXT RNGD Server systems to enterprise customers, cloud providers, and data center operators. Products sold directly and through channel partners. Hardware constitutes the primary revenue stream with first large-scale commercial shipments beginning Q1 2026.

furiosa.ai
2NPU-as-a-Service (NPUaaS)
TypeSubscription Recurring
Description

Samsung SDS offers Furiosa RNGD as a subscription NPU service on Samsung Cloud Platform starting July 2026. Provides enterprise customers with on-demand access to RNGD compute without purchasing hardware outright.

furiosa.ai
3Software Licenses & Developer Tools
TypeLicensing Royalties
Description

Furiosa SDK, Furiosa Docs, Furiosa Compiler, and runtime software provided as part of the hardware solution. Software stack includes Tensor Contraction Language, vLLM-compatible serving, and OpenAI API compatibility.

furiosa.ai
Marketing channels8 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels8 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components6 values
Technology or R&D, Supply Chain, Personnel, Operations, Marketing or Sales, Infrastructure
Pricing details3 tiers
1RNGD PCIe Card — standalone accelerator for LLM and multimodality
ModelOne time/ perpetual licenseBilling cadenceMulti-year contract
Notes

Direct enterprise sales; pricing not publicly disclosed. Targets air-cooled data centers with 180W TDP drop-in replacement for GPU accelerators.

furiosa.ai
2NXT RNGD Server — turnkey 4U rackmount AI inference appliance
ModelOne time/ perpetual licenseBilling cadenceMulti-year contract
Notes

Direct enterprise sales and channel partner resale. Pricing not publicly disclosed. Ships with Furiosa SDK, Ubuntu 24.04 LTS, streamlined LLM stack.

furiosa.ai
3NPUaaS via Samsung SDS Cloud Platform
ModelSubscriptionBilling cadenceMonthly
Notes

Samsung SDS plans to launch subscription-based NPU service using RNGD chips through Samsung Cloud Platform starting July 2026 — the first such offering by a domestic Korean cloud provider.

biz.chosun.com
GTM typeB2B
B2B
Offering typeHardware or Manufacturing
Hardware or Manufacturing
Core offering1 text field

FuriosaAI designs and manufactures data center AI inference accelerators built on its proprietary Tensor Contraction Processor (TCP) architecture. Its flagship RNGD (Renegade) PCIe card delivers 512 TFLOPS FP8 at 180W TDP, and is bundled with the NXT RNGD turnkey server and the Furiosa SDK for LLM and multimodal inference. The company also sells the Warboy Gen 1 Vision NPU for computer vision workloads and co-developed the Sovereign AI Appliance with LG U+ for on-premise enterprise AI.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 9 values shown
  • 2.25x better LLM inference performance per watt vs comparable GPUs — validated by LG AI Research using EXAONE model
+8 more records
Product overview1 text field

FuriosaAI offers a portfolio of AI accelerator products built on its proprietary Tensor Contraction Processor (TCP) architecture. The product lineup includes the RNGD (Renegade) PCIe card as the core second-generation inference accelerator, the NXT RNGD Server as a turnkey multi-card deployment solution, and the Warboy Gen 1 Vision NPU for computer vision workloads. These hardware products are supported by the Furiosa SDK software stack providing PyTorch integration, OpenAI API compatibility, and Kubernetes deployment support. The company also offers the Furiosa Access Program for evaluation and the Sovereign AI Appliance (co-developed with LG U+) as a ready-to-run enterprise solution.

Product and service5 records
1RNGD (Renegade) PCIe Card
CategoryAI Inference Accelerator
Description

Second-generation AI inference accelerator delivering 512 TFLOPS FP8 / 256 TFLOPS BF16 performance with 48GB HBM3 memory and 256MB on-chip SRAM at 180W TDP. Designed for air-cooled data centers and targeting LLM and multimodal AI inference workloads. Supports BF16, FP8, INT8, and INT4 precision.

2NXT RNGD Server
CategoryAI Inference Server Appliance
Description

Turnkey 4U rackmount server housing 8x RNGD cards delivering 4,096 TFLOPS FP8 (512 TFLOPS per card). Features 384GB HBM3 capacity, 12 TB/s memory bandwidth, and 3kW power consumption. Designed for air-cooled data centers with up to 5 servers per 15kW rack.

3Warboy (Gen 1 Vision NPU)
CategoryVision NPU
Description

First-generation Vision NPU for computer vision deployment in data centers and edge servers. Delivers 64 TOPS INT8 with 16GB LPDDR4X at 40-60W TDP. Achieved MLPerf benchmark scores outperforming Nvidia on image classification and object detection tasks.

4Furiosa SDK
CategoryAI Software Stack
Description

Comprehensive software toolchain for LLM inference and agentic workloads including compiler, quantization, and runtime. Features PyTorch 2.x integration, OpenAI API compatibility, vLLM drop-in replacement, and Kubernetes support.

5Sovereign AI Appliance
CategoryOn-Premise AI Appliance
Description

Ready-to-run on-premise AI solution co-developed with LG U+ combining Furiosa RNGD accelerator with LG's EXAONE 4.0 model and ixi-Enterprise platform. Delivers 30% TCO reduction versus GPU clusters with no external cloud requirements.

Scale indicator8 records

Each record includes

Type, Value, Description, Source

Partnership24 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-05-27
Description

Strategic partnership to co-develop third-generation AI accelerator based on Furiosa's Tensor Contraction Processor (TCP) architecture into a multi-die chiplet system. Broadcom contributes XPU Technology, Ethernet scale-up networking, and fabric switches for rack-scale AI inference infrastructure. Platform targets 2nm compute die with HBM4/4E memory. Sampling expected in 1H 2028. Contract value estimated at KRW 200 billion range.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-04-24
Description

Vietnam's CMC Corporation signed MOU with FuriosaAI to jointly develop AI solutions, expanding business opportunities in Vietnam and South Korea. CMC Global and FuriosaAI collaborate on AI application software leveraging their respective technological strengths.

Strategic tierCoreTypeChannel Partner/ Reseller/ DistributorAnnounced on2026-04-02
Description

Samsung SDS announced launch of new RNGD-powered NPU-as-a-Service (NPUaaS) on Samsung Cloud Platform starting July 2026 — the first NPUaaS by a domestic Korean cloud provider. Provides enterprise customers with on-demand access to RNGD compute fully integrated with Samsung Cloud Platform's virtualization, storage, and networking layers. Samsung SDS also serves as a validated enterprise customer for RNGD deployment.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-03-04
Description

Joint development of Sovereign AI Appliance — the first 'ready-to-run' AI inference solution combining LG AI Research's EXAONE 4.0 language model, LG's ixi-Enterprise platform, and FuriosaAI's RNGD NPU in a single server package. Enables on-premise deployment for defense, healthcare, finance, manufacturing, and research sectors. Reference configuration uses 14 RNGD cards across 2 servers delivering 7,168 TOPS (FP8) with 32K context length support.

Strategic tierSecondaryTypeTechnology or IntegrationAnnounced on2026-02-26
Description

Partnership to deliver secure, production-ready enterprise AI automation stack. Helikai's full software stack certified on FuriosaAI NXT RNGD inference servers. Joint solution enables enterprises in regulated sectors to run high-performance, domain-specific AI workflows with complete data sovereignty. Targets bioinformatics, clinical trial matching, and legal discovery use cases.

Strategic tierSecondaryTypeTechnology or IntegrationAnnounced on2026-02-03
Description

Nota AI signed AI model optimization technology supply contract with FuriosaAI. Using NetsPresso quantization platform to optimize AI models for RNGD NPU, reducing memory requirements for Llama 3.1 70B from ~140GB to 35-40GB via INT4 precision conversion. Collaboration targets security, medical, retail, and smart building sectors.

Strategic tierCoreTypeOEM/ Whitelabel/ Licensing Partner
Description

TSMC manufactures RNGD AI accelerators at 5nm process technology. First delivery of 4,000 RNGD units shipped and assembled. TSMC producing 2nm third-generation chips in partnership with Broadcom. Longstanding partnership enabling FuriosaAI's silicon production capabilities.

Strategic tierCoreTypeTechnology or Integration
Description

SK hynix supplies HBM3 memory for RNGD accelerators. HBM3E upgraded variants planned for H2 2026. SK hynix partnership enables RNGD's 48GB HBM3 memory capacity at 1.5TB/s bandwidth critical for LLM inference workloads.

Strategic tierCoreTypeOEM/ Whitelabel/ Licensing Partner
Description

ASUS assembles RNGD accelerator cards. Q&A partnership discussing AI server trends and FuriosaAI collaboration in system integration.

Strategic tierSecondaryTypeChannel Partner/ Reseller/ Distributor
Description

European cloud infrastructure provider integrating RNGD into global service offerings, expanding FuriosaAI's footprint in EMEA market.

Strategic tierSecondaryTypeTechnology or Integration
Description

Korean AI lab partnering to deploy Solar family of foundation models on RNGD for a wide range of AI applications.

Strategic tierSecondaryTypeChannel Partner/ Reseller/ Distributor
Description

Korean cloud managed service provider launching new cloud compute project powered by RNGD to meet surging regional demand.

Strategic tierSecondaryTypeChannel Partner/ Reseller/ Distributor
Description

LG CNS partners with FuriosaAI bringing South Korea's NPU to enterprise AI services, implementing NPU-based AI solutions for industrial applications.

Strategic tierSecondaryTypeTechnology or Integration
Description

Korean silicon company partnered to develop world's first NPU-DPU scale-out architecture, leveraging 400G RDMA fabric to enable linear multi-node scaling for large-scale LLM inference.

Strategic tierSecondaryTypeTechnology or Integration
Description

Korean AI infrastructure company showcasing AI server integrating RNGD with POSEIDON liquid-cooling architecture for maximum computational throughput and absolute stability.

Strategic tierMinorTypeChannel Partner/ Reseller/ Distributor
Description

Korean education technology company deploying RNGD to power its AI-driven HUMMINGo platform.

Strategic tierMinorTypeChannel Partner/ Reseller/ Distributor
Description

Delivers sovereign AI compute at the edge, standardized on RNGD to power air-cooled metro AI data centers built for inference in power-constrained urban environments worldwide.

Strategic tierCoreTypeTechnology or Integration
Description

OpenAI showcased FuriosaAI RNGD at an event in Seoul. OpenAI demonstrated gpt-oss 120B model running live on RNGD accelerator — marking the first time OpenAI models ran on Korean silicon. Live demo validated RNGD's enterprise inference capabilities.

Strategic tierSecondaryTypeTechnology or Integration
Description

KOSPO signed MOU with FuriosaAI to build energy-efficiency-focused domestic AI infrastructure ecosystem using domestic NPUs. Partnership cuts KOSPO's operating costs for power generation facilities while enabling RNGD validation in real industrial settings.

Strategic tierMinorTypeChannel Partner/ Reseller/ Distributor
Description

POSCO DX signed agreement with Mobilint for NPU-based AI solutions for industrial applications. Note: FuriosaAI also referenced as alternative domestic NPU option for Korean industrial AI transformation.

Strategic tierMinorTypeChannel Partner/ Reseller/ Distributor
Description

Aramco listed as partner customer. Saudi Aramco's digital development initiatives incorporating FuriosaAI technology for AI infrastructure.

Strategic tierSecondaryTypeTechnology or Integration
Description

GUC partnered on RNGD as the Most Efficient AI Accelerator for LLMs. GUC provides advanced ASIC design services supporting RNGD development.

Strategic tierSecondaryTypeChannel Partner/ Reseller/ Distributor
Description

hosted.ai partnered to deliver industry-leading AI infrastructure powered by Tensor Contraction Processors, bringing FuriosaAI RNGD to Microsoft's Azure Marketplace.

Strategic tierCoreTypeTechnology or Integration
Description

LG AI Research serves as flagship enterprise customer, validating RNGD in EXAONE model deployments. Confirmed 2.25x better LLM inference performance per watt vs GPUs. Jointly developed EXAONE 4.0 integration in Sovereign AI Appliance with LG U+.

Recent move8 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight7 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Korean AI chip startup (also part of the K-Nvidia cohort) developing data center AI accelerators with ATOM and upcoming REBEL chips. Most direct comparable to FuriosaAI: same national ecosystem, same customer overlap (LG, Samsung), and competing in the same MLPerf and sovereign-AI benchmarks.

TypeDirect peer
Description

US-based AI inference accelerator company with LPU (Language Processing Unit) architecture. Direct comparable in target use case (LLM inference) and positioning (GPU alternative for cost-efficient inference at scale), although Groq uses a deterministic LPU systolic approach versus FuriosaAI's TCP tensor-contraction approach.

TypeDirect peer
Description

US-based AI accelerator company building wafer-scale chips for training and inference. Comparable in offering large-scale AI compute alternatives to NVIDIA GPUs, and competes in the same enterprise AI inference RFP pipeline that FuriosaAI is targeting.

TypeDirect peer
Description

US AI accelerator company offering RDU-based dataflow chips for enterprise AI. Comparable in selling AI inference systems to enterprises and governments as a CUDA-independent alternative, with overlapping customer profiles in regulated industries.

TypeDirect peer
Description

AI accelerator startup building RISC-V-based Grayskull/Wormhole/Blackhole chips for training and inference. Comparable in competing for the same NVIDIA-displacement opportunity with custom silicon and a software-first developer story.

TypeBroad incumbent
Description

Dominant incumbent in AI accelerators (Hopper/Blackwell/Rubin) with the deepest CUDA software moat. FuriosaAI explicitly benchmarks against NVIDIA RTX Pro 6000 and H-series GPUs, and the entire value proposition is positioned as a TCO/performance alternative to NVIDIA.

TypeBroad incumbent
Description

Major GPU and AI accelerator competitor with Instinct MI series (MI300X, MI325X, MI350) and ROCm software stack. Competes with FuriosaAI in the same AI data center RFPs and offers a CUDA-alternative software path with broader x86 integration.

TypeBroad incumbent
Description

Intel's AI accelerator subsidiary offering Gaudi 2 and Gaudi 3 training/inference chips as an NVIDIA alternative. Direct competition in the AI data center accelerator market with established enterprise sales motion, comparable to FuriosaAI's enterprise GTM.

9DEEPX
TypeEmerging player
Description

Korean AI chip startup focused on edge and on-device AI NPUs. Part of the same Korean AI chip cohort and listed alongside FuriosaAI in the K-Perf government benchmark program. Comparable in the Korean sovereign-AI ecosystem story, though focused on lower-power edge inference versus data center.

TypeEmerging player
Description

Korean AI chip startup developing NPU silicon for edge and data center inference. Also part of the K-Nvidia cohort with overlapping investor base and customer profile (POSCO DX signed with Mobilint for industrial AI). Comparable as a fellow Korean sovereign-AI chip contender with mass production challenges.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers15 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment5 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration4 records

Each record includes

Title, Type, Description, Source

AI capability8 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles5 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds7 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors27 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

FuriosaAI

AI Inference Acceleratorsfuriosa.ai

FuriosaAI firmographics

Firmographics
Name
FuriosaAI
Legal name
주식회사 퓨리오사에이아이
Website
https://furiosa.ai
Company type
Private
Founded year
2017
Operating status
Operating
Headcount range
101–250 employees
Ownership category
akta.pro rank

FuriosaAI industry classification

Industry
Product category
AI Inference Accelerators
NAICS
Computer and Peripheral Equipment Manufacturing (3341), Computer Systems Design and Related Services (54151)
akta.pro primary industry
AI Accelerators (GPUs/TPUs/NPUs/ASICs) (HDAAAAAA)
akta.pro secondary industries
AI Server Systems & HGX/Accelerator Platforms (HDAAAAAB), AI/Neural Processing Units (NPUs) & ML Accelerators (HDAHAJAF), AI Compiler, Runtime & Kernel Optimization Software (CUDA/ROCm/XLA, graph compilers) (HDAAAAAI)

Keywords

  • AI inference accelerators
  • Data center AI chips
  • Neural processing units
  • AI semiconductors
  • LLM inference hardware

Where FuriosaAI is headquartered

Location

Headquarters

HQ city
Seoul
HQ country
South Korea
HQ region
Asia

Offices6 records

Markets served

FuriosaAI business model

Business model
GTM type
B2B
Offering type
Hardware or Manufacturing
Cost components
Technology or R&D, Supply Chain, Personnel, Operations, Marketing or Sales, Infrastructure

Revenue model

  1. AI Accelerator Hardware Sales: Sale of RNGD PCIe accelerator cards and NXT RNGD Server systems to enterprise customers, cloud providers, and data center operators. Products sold directly and through channel partners. Hardware constitutes the primary revenue stream with first large-scale commercial shipments beginning Q1 2026.
  2. NPU-as-a-Service (NPUaaS): Samsung SDS offers Furiosa RNGD as a subscription NPU service on Samsung Cloud Platform starting July 2026. Provides enterprise customers with on-demand access to RNGD compute without purchasing hardware outright.
  3. Software Licenses & Developer Tools: Furiosa SDK, Furiosa Docs, Furiosa Compiler, and runtime software provided as part of the hardware solution. Software stack includes Tensor Contraction Language, vLLM-compatible serving, and OpenAI API compatibility.

Pricing tiers

ModelBillingPrice
One time/ perpetual licenseMulti-year contractRNGD PCIe Card — standalone accelerator for LLM and multimodality
One time/ perpetual licenseMulti-year contractNXT RNGD Server — turnkey 4U rackmount AI inference appliance
SubscriptionMonthlyNPUaaS via Samsung SDS Cloud Platform

Go-to-market motion5 records

Distribution channels8 records

Marketing channels8 records

FuriosaAI product offering

Product offering

Core offering

FuriosaAI designs and manufactures data center AI inference accelerators built on its proprietary Tensor Contraction Processor (TCP) architecture. Its flagship RNGD (Renegade) PCIe card delivers 512 TFLOPS FP8 at 180W TDP, and is bundled with the NXT RNGD turnkey server and the Furiosa SDK for LLM and multimodal inference. The company also sells the Warboy Gen 1 Vision NPU for computer vision workloads and co-developed the Sovereign AI Appliance with LG U+ for on-premise enterprise AI.

Product overview

FuriosaAI offers a portfolio of AI accelerator products built on its proprietary Tensor Contraction Processor (TCP) architecture. The product lineup includes the RNGD (Renegade) PCIe card as the core second-generation inference accelerator, the NXT RNGD Server as a turnkey multi-card deployment solution, and the Warboy Gen 1 Vision NPU for computer vision workloads. These hardware products are supported by the Furiosa SDK software stack providing PyTorch integration, OpenAI API compatibility, and Kubernetes deployment support. The company also offers the Furiosa Access Program for evaluation and the Sovereign AI Appliance (co-developed with LG U+) as a ready-to-run enterprise solution.

Differentiator

Problem solved

Functional benefit

Products and services

  • RNGD (Renegade) PCIe Card Second-generation AI inference accelerator delivering 512 TFLOPS FP8 / 256 TFLOPS BF16 performance with 48GB HBM3 memory and 256MB on-chip SRAM at 180W TDP. Designed for air-cooled data centers and targeting LLM and multimodal AI inference workloads. Supports BF16, FP8, INT8, and INT4 precision.
  • NXT RNGD Server Turnkey 4U rackmount server housing 8x RNGD cards delivering 4,096 TFLOPS FP8 (512 TFLOPS per card). Features 384GB HBM3 capacity, 12 TB/s memory bandwidth, and 3kW power consumption. Designed for air-cooled data centers with up to 5 servers per 15kW rack.
  • Warboy (Gen 1 Vision NPU) First-generation Vision NPU for computer vision deployment in data centers and edge servers. Delivers 64 TOPS INT8 with 16GB LPDDR4X at 40-60W TDP. Achieved MLPerf benchmark scores outperforming Nvidia on image classification and object detection tasks.
  • Furiosa SDK Comprehensive software toolchain for LLM inference and agentic workloads including compiler, quantization, and runtime. Features PyTorch 2.x integration, OpenAI API compatibility, vLLM drop-in replacement, and Kubernetes support.
  • Sovereign AI Appliance Ready-to-run on-premise AI solution co-developed with LG U+ combining Furiosa RNGD accelerator with LG's EXAONE 4.0 model and ixi-Enterprise platform. Delivers 30% TCO reduction versus GPU clusters with no external cloud requirements.

Quantifiable outcome

  • 2.25x better LLM inference performance per watt vs comparable GPUs — validated by LG AI Research using EXAONE model
  • +8 more outcomes

Companies that use FuriosaAI

Customer profile

Named customers15 records

Segments5 records

Ideal customer profiles4 records

FuriosaAI technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration4 records

AI capability8 records

Feature6 records

FuriosaAI partnerships and signals

Strategic signal

Partnerships

24 partnerships are on record, tiered core, minor and secondary.

  • BroadcomcoreStrategic or Co-development Partner · 27 May 2026Strategic partnership to co-develop third-generation AI accelerator based on Furiosa's Tensor Contraction Processor (TCP) architecture into a multi-die chiplet system. Broadcom contributes XPU Technology, Ethernet scale-up networking, and fabric switches for rack-scale AI inference infrastructure. Platform targets 2nm compute die with HBM4/4E memory. Sampling expected in 1H 2028. Contract value estimated at KRW 200 billion range.
  • CMC Corporation (Vietnam)minorStrategic or Co-development Partner · 24 April 2026Vietnam's CMC Corporation signed MOU with FuriosaAI to jointly develop AI solutions, expanding business opportunities in Vietnam and South Korea. CMC Global and FuriosaAI collaborate on AI application software leveraging their respective technological strengths.
  • Samsung SDScoreChannel Partner/ Reseller/ Distributor · 2 April 2026Samsung SDS announced launch of new RNGD-powered NPU-as-a-Service (NPUaaS) on Samsung Cloud Platform starting July 2026 — the first NPUaaS by a domestic Korean cloud provider. Provides enterprise customers with on-demand access to RNGD compute fully integrated with Samsung Cloud Platform's virtualization, storage, and networking layers. Samsung SDS also serves as a validated enterprise customer for RNGD deployment.
  • LG U+coreStrategic or Co-development Partner · 4 March 2026Joint development of Sovereign AI Appliance — the first 'ready-to-run' AI inference solution combining LG AI Research's EXAONE 4.0 language model, LG's ixi-Enterprise platform, and FuriosaAI's RNGD NPU in a single server package. Enables on-premise deployment for defense, healthcare, finance, manufacturing, and research sectors. Reference configuration uses 14 RNGD cards across 2 servers delivering 7,168 TOPS (FP8) with 32K context length support.
  • HelikaisecondaryTechnology or Integration · 26 February 2026Partnership to deliver secure, production-ready enterprise AI automation stack. Helikai's full software stack certified on FuriosaAI NXT RNGD inference servers. Joint solution enables enterprises in regulated sectors to run high-performance, domain-specific AI workflows with complete data sovereignty. Targets bioinformatics, clinical trial matching, and legal discovery use cases.
  • Nota AIsecondaryTechnology or Integration · 3 February 2026Nota AI signed AI model optimization technology supply contract with FuriosaAI. Using NetsPresso quantization platform to optimize AI models for RNGD NPU, reducing memory requirements for Llama 3.1 70B from ~140GB to 35-40GB via INT4 precision conversion. Collaboration targets security, medical, retail, and smart building sectors.
  • TSMCcoreOEM/ Whitelabel/ Licensing PartnerTSMC manufactures RNGD AI accelerators at 5nm process technology. First delivery of 4,000 RNGD units shipped and assembled. TSMC producing 2nm third-generation chips in partnership with Broadcom. Longstanding partnership enabling FuriosaAI's silicon production capabilities.
  • SK hynixcoreTechnology or IntegrationSK hynix supplies HBM3 memory for RNGD accelerators. HBM3E upgraded variants planned for H2 2026. SK hynix partnership enables RNGD's 48GB HBM3 memory capacity at 1.5TB/s bandwidth critical for LLM inference workloads.
  • ASUScoreOEM/ Whitelabel/ Licensing PartnerASUS assembles RNGD accelerator cards. Q&A partnership discussing AI server trends and FuriosaAI collaboration in system integration.
  • AnexiasecondaryChannel Partner/ Reseller/ DistributorEuropean cloud infrastructure provider integrating RNGD into global service offerings, expanding FuriosaAI's footprint in EMEA market.
  • UpstagesecondaryTechnology or IntegrationKorean AI lab partnering to deploy Solar family of foundation models on RNGD for a wide range of AI applications.
  • MegazoneCloudsecondaryChannel Partner/ Reseller/ DistributorKorean cloud managed service provider launching new cloud compute project powered by RNGD to meet surging regional demand.
  • LG CNSsecondaryChannel Partner/ Reseller/ DistributorLG CNS partners with FuriosaAI bringing South Korea's NPU to enterprise AI services, implementing NPU-based AI solutions for industrial applications.
  • MangoBoostsecondaryTechnology or IntegrationKorean silicon company partnered to develop world's first NPU-DPU scale-out architecture, leveraging 400G RDMA fabric to enable linear multi-node scaling for large-scale LLM inference.
  • Baro AIsecondaryTechnology or IntegrationKorean AI infrastructure company showcasing AI server integrating RNGD with POSEIDON liquid-cooling architecture for maximum computational throughput and absolute stability.
  • CreverseminorChannel Partner/ Reseller/ DistributorKorean education technology company deploying RNGD to power its AI-driven HUMMINGo platform.
  • flexgrid.cloudminorChannel Partner/ Reseller/ DistributorDelivers sovereign AI compute at the edge, standardized on RNGD to power air-cooled metro AI data centers built for inference in power-constrained urban environments worldwide.
  • OpenAIcoreTechnology or IntegrationOpenAI showcased FuriosaAI RNGD at an event in Seoul. OpenAI demonstrated gpt-oss 120B model running live on RNGD accelerator — marking the first time OpenAI models ran on Korean silicon. Live demo validated RNGD's enterprise inference capabilities.
  • Korea Southern Power (KOSPO)secondaryTechnology or IntegrationKOSPO signed MOU with FuriosaAI to build energy-efficiency-focused domestic AI infrastructure ecosystem using domestic NPUs. Partnership cuts KOSPO's operating costs for power generation facilities while enabling RNGD validation in real industrial settings.
  • POSCO DXminorChannel Partner/ Reseller/ DistributorPOSCO DX signed agreement with Mobilint for NPU-based AI solutions for industrial applications. Note: FuriosaAI also referenced as alternative domestic NPU option for Korean industrial AI transformation.
  • AramcominorChannel Partner/ Reseller/ DistributorAramco listed as partner customer. Saudi Aramco's digital development initiatives incorporating FuriosaAI technology for AI infrastructure.
  • GUC (Global Unichip Corp)secondaryTechnology or IntegrationGUC partnered on RNGD as the Most Efficient AI Accelerator for LLMs. GUC provides advanced ASIC design services supporting RNGD development.
  • hosted.aisecondaryChannel Partner/ Reseller/ Distributorhosted.ai partnered to deliver industry-leading AI infrastructure powered by Tensor Contraction Processors, bringing FuriosaAI RNGD to Microsoft's Azure Marketplace.
  • LG AI ResearchcoreTechnology or IntegrationLG AI Research serves as flagship enterprise customer, validating RNGD in EXAONE model deployments. Confirmed 2.25x better LLM inference performance per watt vs GPUs. Jointly developed EXAONE 4.0 integration in Sovereign AI Appliance with LG U+.

Scale indicators8 records

Recent moves8 records

Expansion highlights7 records

FuriosaAI competitors and assessment

Company assessment

Direct peers

  • Rebellions: Korean AI chip startup (also part of the K-Nvidia cohort) developing data center AI accelerators with ATOM and upcoming REBEL chips. Most direct comparable to FuriosaAI: same national ecosystem, same customer overlap (LG, Samsung), and competing in the same MLPerf and sovereign-AI benchmarks.
  • Groq: US-based AI inference accelerator company with LPU (Language Processing Unit) architecture. Direct comparable in target use case (LLM inference) and positioning (GPU alternative for cost-efficient inference at scale), although Groq uses a deterministic LPU systolic approach versus FuriosaAI's TCP tensor-contraction approach.
  • Cerebras Systems: US-based AI accelerator company building wafer-scale chips for training and inference. Comparable in offering large-scale AI compute alternatives to NVIDIA GPUs, and competes in the same enterprise AI inference RFP pipeline that FuriosaAI is targeting.
  • SambaNova Systems: US AI accelerator company offering RDU-based dataflow chips for enterprise AI. Comparable in selling AI inference systems to enterprises and governments as a CUDA-independent alternative, with overlapping customer profiles in regulated industries.
  • Tenstorrent: AI accelerator startup building RISC-V-based Grayskull/Wormhole/Blackhole chips for training and inference. Comparable in competing for the same NVIDIA-displacement opportunity with custom silicon and a software-first developer story.

Broad incumbents

  • NVIDIA: Dominant incumbent in AI accelerators (Hopper/Blackwell/Rubin) with the deepest CUDA software moat. FuriosaAI explicitly benchmarks against NVIDIA RTX Pro 6000 and H-series GPUs, and the entire value proposition is positioned as a TCO/performance alternative to NVIDIA.
  • AMD: Major GPU and AI accelerator competitor with Instinct MI series (MI300X, MI325X, MI350) and ROCm software stack. Competes with FuriosaAI in the same AI data center RFPs and offers a CUDA-alternative software path with broader x86 integration.
  • Intel (Habana Labs): Intel's AI accelerator subsidiary offering Gaudi 2 and Gaudi 3 training/inference chips as an NVIDIA alternative. Direct competition in the AI data center accelerator market with established enterprise sales motion, comparable to FuriosaAI's enterprise GTM.

Emerging players

  • DEEPX: Korean AI chip startup focused on edge and on-device AI NPUs. Part of the same Korean AI chip cohort and listed alongside FuriosaAI in the K-Perf government benchmark program. Comparable in the Korean sovereign-AI ecosystem story, though focused on lower-power edge inference versus data center.
  • Mobilint: Korean AI chip startup developing NPU silicon for edge and data center inference. Also part of the K-Nvidia cohort with overlapping investor base and customer profile (POSCO DX signed with Mobilint for industrial AI). Comparable as a fellow Korean sovereign-AI chip contender with mass production challenges.

Market position

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Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

FuriosaAI social profiles

Digital presence

FuriosaAI financial estimates

Financial estimate

Revenue estimate

Valuation estimate

FuriosaAI leadership team

Management profile

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Profiles5 records

FuriosaAI funding detail

Funding detail

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Funding rounds7 records

Investors27 records

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FuriosaAI M&A and investment

M&A and investment

M&A

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Frequently asked questions about FuriosaAI

What does FuriosaAI do?

FuriosaAI designs and manufactures data center AI inference accelerators built on its proprietary Tensor Contraction Processor (TCP) architecture. Its flagship RNGD (Renegade) PCIe card delivers 512 TFLOPS FP8 at 180W TDP, and is bundled with the NXT RNGD turnkey server and the Furiosa SDK for LLM and multimodal inference. The company also sells the Warboy Gen 1 Vision NPU for computer vision workloads and co-developed the Sovereign AI Appliance with LG U+ for on-premise enterprise AI.

Is FuriosaAI a public or private company?

FuriosaAI is a private company. It is classified as venture growth investor backed and is currently operating.

When was FuriosaAI founded?

FuriosaAI was founded in 2017. It employs 101 to 250 people.

Where is FuriosaAI based?

FuriosaAI is headquartered in Seoul, South Korea, in the Asia region.

How does FuriosaAI make money?

Three revenue lines are on record. AI Accelerator Hardware Sales are the primary driver. The others are NPU-as-a-Service (NPUaaS) and software Licenses & Developer Tools.

Who are FuriosaAI's main competitors?

Direct peers on record are Rebellions, Groq, Cerebras Systems, SambaNova Systems and Tenstorrent. Broad incumbents are NVIDIA, AMD and Intel (Habana Labs). Emerging players are DEEPX and Mobilint.

Does FuriosaAI have an API?

Yes. FuriosaAI offers OpenAI API compatibility as a drop-in replacement feature, enabling developers to deploy models with minimal code changes. The Furiosa SDK provides PyTorch 2.x integration, torch.compile support, and OpenAI API compatibility. Developer documentation is at developer.furiosa.ai/latest/en.

What industry is FuriosaAI in?

FuriosaAI's product category is AI Inference Accelerators. Its primary akta.pro industry code is HDAAAAAA, AI Accelerators (GPUs/TPUs/NPUs/ASICs), with a secondary code of HDAAAAAB, AI Server Systems & HGX/Accelerator Platforms. Its NAICS code is 3341.

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Semiconductor EngineeringHBF for High-Throughput LLM Serving (UC Berkeley, FuriosaAI)Researchers at UC Berkeley and FuriosaAI evaluated high-bandwidth flash (HBF) for LLM serving, introducing an HBM-HBF-host system and buffered cache-aware scheduling. HBF-augmented systems reduced completion time by 36.1-87.0% and modeled energy savings of 55.8%, while scheduling extended HBF write lifetime from 4.77 to 14.82 years.NateData-center AI chip market seen at $860 bln by 2030 : 네이트 뉴스The global data-center AI chip market is projected to grow from $124 billion in 2024 to $860 billion by 2030, an average annual increase of 38 percent. Nvidia held 78.2 percent of the market in 2025, followed by Google and AMD. South Korean chipmakers FuriosaAI and Rebellions are developing second-generation NPUs for inference workloads.StartuptodayOrchestra Group, targeting the Furiosa AI and NPU ecosystem... embarking on building a K-AI full-stack infrastructure.Orchestra Group and Furiosa AI signed an MOU to expand AI infrastructure support for Furiosa's NPU Renegade. Concerto AI now supports both GPU and NPU, enabling customers to run optimized NPU inference systems. The companies will focus on demonstration projects in public, financial, and enterprise sectors.Venturesquare오케스트로·퓨리오사AI, GPU 이어 국산 NPU까지 한 플랫폼서 운영…RNGD 사업화 나선다Orchestro Group and FuriosaAI signed a business agreement to integrate FuriosaAI's RNGD NPU with Orchestro's CONCERTO AI platform, expanding support from GPU to NPU. The companies will conduct customer benchmark tests and demonstrations to commercialize the infrastructure for public, financial, and corporate markets.스타트업엔(StartupN)오케스트로-퓨리오사AI, 국산 NPU 기반 AI 인프라 사업 확대 협력Orchestra Group and FuriosaAI signed an MOU to commercialize domestic NPU-based AI infrastructure, linking FuriosaAI's RNGD NPU with Orchestra's Concerto AI platform. The collaboration expands Concerto AI's support to RNGD, enabling NPU-based LLM deployment, and plans joint customer validations and business models for public, financial, and corporate sectors.PlatumIncreasing the number of companies using domestic AI semiconductors, two companies have joined hands.Orchestra and FuriosaAI signed an agreement to expand Concerto AI's support to FuriosaAI's RNGD NPU, enabling deployment of AI models on domestic NPUs. The companies plan to jointly design RNGD-based AI infrastructure for public, financial, and corporate clients, with joint sales and technical support.Nate퓨리오사AI, 에퀴닉스와 '유럽 소버린 AI' 공략 : 네이트 뉴스Furiosa AI and Equinix announced a global strategy at a Seoul briefing, placing servers in Lisbon and running PoCs for European customers. They cite GDPR and EU AI Act as reasons for Europe, and plan to expand to the Americas and Southeast Asia. Both companies expect data center supply shortages to persist until next year.NateFuriosa AI establishes a corporation in Singapore... RNGD intensifies its strategy in the Asia-Pacific: Nate NewsFuriosaAI established a Singapore subsidiary to support APAC business development and sales. The company is launching its RNGD AI inference accelerator, which runs on existing data center power and cooling. RNGD is already deployed at Samsung SDS and LG AI Research Institute.MkHancom, FuriosaAI team up on NPU-based enterprise AIHancom, FuriosaAI, and Hancom Innostream signed a three-way MOU to develop NPU-based enterprise AI appliances. The partnership combines Hancom's agentic OS with FuriosaAI's Renegade accelerator for on-premises systems, with Hancom leading development and commercialization. They plan joint sales to B2B and public-sector customers.NateK-Fabless 'Investment → Listing' Movement? The Key is 'Business Validation': Nate NewsKorean AI semiconductor startups Rebellion, Furiosa AI, and DeepX are preparing for KOSDAQ listings, with Rebellion targeting early 2027 and Furiosa AI and DeepX aiming for 2028. Rebellion raised about 640 billion won in a pre-IPO, while Furiosa AI and DeepX are conducting Series D rounds. Business validation through sales and profitability is expected to be key for future IPOs.