FuriosaAI
- Company typePrivate
- Founded2017
- HeadquartersSeoul, South Korea
- Headcount101–250
- GTM typeB2B
- OfferingHardware or Manufacturing
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
Where FuriosaAI is headquartered
LocationHeadquarters
- 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
- 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.
- 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.
- 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
| Model | Billing | Price |
|---|---|---|
| One time/ perpetual license | Multi-year contract | RNGD PCIe Card — standalone accelerator for LLM and multimodality |
| One time/ perpetual license | Multi-year contract | NXT RNGD Server — turnkey 4U rackmount AI inference appliance |
| Subscription | Monthly | NPUaaS via Samsung SDS Cloud Platform |
Go-to-market motion5 records
Distribution channels8 records
Marketing channels8 records
FuriosaAI product offering
Product offeringCore 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 profileNamed customers15 records
Segments5 records
Ideal customer profiles4 records
FuriosaAI technology and API
TechnologyTechnology 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 signalPartnerships
24 partnerships are on record, tiered core, minor and secondary.
- BroadcomcoreStrategic 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)minorVietnam'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 SDScoreSamsung 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+coreJoint 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.
- HelikaisecondaryPartnership 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 AIsecondaryNota 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.
- TSMCcoreTSMC 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 hynixcoreSK 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.
- ASUScoreASUS assembles RNGD accelerator cards. Q&A partnership discussing AI server trends and FuriosaAI collaboration in system integration.
- AnexiasecondaryEuropean cloud infrastructure provider integrating RNGD into global service offerings, expanding FuriosaAI's footprint in EMEA market.
- UpstagesecondaryKorean AI lab partnering to deploy Solar family of foundation models on RNGD for a wide range of AI applications.
- MegazoneCloudsecondaryKorean cloud managed service provider launching new cloud compute project powered by RNGD to meet surging regional demand.
- LG CNSsecondaryLG CNS partners with FuriosaAI bringing South Korea's NPU to enterprise AI services, implementing NPU-based AI solutions for industrial applications.
- MangoBoostsecondaryKorean 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 AIsecondaryKorean AI infrastructure company showcasing AI server integrating RNGD with POSEIDON liquid-cooling architecture for maximum computational throughput and absolute stability.
- CreverseminorKorean education technology company deploying RNGD to power its AI-driven HUMMINGo platform.
- flexgrid.cloudminorDelivers 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.
- OpenAIcoreOpenAI 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)secondaryKOSPO 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 DXminorPOSCO 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.
- AramcominorAramco listed as partner customer. Saudi Aramco's digital development initiatives incorporating FuriosaAI technology for AI infrastructure.
- GUC (Global Unichip Corp)secondaryGUC partnered on RNGD as the Most Efficient AI Accelerator for LLMs. GUC provides advanced ASIC design services supporting RNGD development.
- hosted.aisecondaryhosted.ai partnered to deliver industry-leading AI infrastructure powered by Tensor Contraction Processors, bringing FuriosaAI RNGD to Microsoft's Azure Marketplace.
- LG AI ResearchcoreLG 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 assessmentDirect 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
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
FuriosaAI social profiles
Digital presenceFuriosaAI financial estimates
Financial estimateRevenue estimate
Valuation estimate
FuriosaAI leadership team
Management profileNumber of profiles
Profiles5 records
FuriosaAI funding detail
Funding detailFunding overview
Funding rounds7 records
Investors27 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
FuriosaAI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
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.