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FuriosaAI is a South Korean AI chip company that designs and manufactures specialized hardware accelerators for efficient AI inference. Founded by former Samsung and AMD engineers, the company aims to solve the high power consumption and cost challenges of deploying large language models (LLMs) and multimodal AI in data centers. Its flagship product, RNGD (pronounced 'Renegade'), is a 180W PCIe card that delivers 512 TFLOPS (FP8) performance using a novel Tensor Contraction Processor (TCP) architecture. Unlike traditional GPUs that rely on fixed-size matrix multiplication, TCP treats tensor contraction as a first-class operation, enabling higher efficiency and flexibility. The chip supports BF16, FP8, INT8, and INT4 precision, and includes 48GB HBM3 memory with 1.5TB/s bandwidth. FuriosaAI also provides a full software stack including a model compressor, serving framework, compiler, and PyTorch 2.x integration. The target users are cloud service providers, AI enterprises, and research labs looking to deploy LLMs at scale with lower total cost of ownership and air-cooled data center compatibility.
4.5/5
High, consistent, and on-brand
Clean and minimal
Efficient AI inference acceleration for large language models and multimodal AI.
PCIe form factor, air-cooled data centers, PyTorch 2.x, Kubernetes, SR-IOV, and Hugging Face Hub.
Contact sales for pricing; not publicly listed.
Features with the highest value for users are highlighted here.
Tensor Contraction Processor (TCP) architecture
512 TFLOPS FP8 performance
48GB HBM3 memory with 1.5TB/s bandwidth
180W TDP for air-cooled data centers
Comprehensive software stack with model compressor and serving framework
PyTorch 2.x integration
Cloud-native support with Kubernetes and SR-IOV
Secure boot and model encryption
Insert the PCIe card into a compatible server with air cooling.
Install Furiosa SDK, including compiler, runtime, and PyTorch integration.
Use the model compressor and compiler to quantize and map your LLM to RNGD.
Launch the serving framework with Kubernetes or containerization for production inference.
Cloud service providers
AI enterprises
Research labs
Data center operators
LLM application developers
Multimodal AI teams
Edge AI deployers
AI startups
Government AI projects
Academic institutions
Enterprise
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Website traffic and keyword analysis.
Monthly visits
34.07K
↓ -36.3% vs prior month
Avg. visit duration
00:01:08
M 4 2026 snapshot
Pages / visit
2.71
M 4 2026 snapshot
Bounce rate
38.82%
Lower is better
All traffic · Worldwide
Weekly estimate · Feb 1, 2026 – Apr 29, 2026
Peak week: 14.03K (Feb 1, 2026)Low week: 6.81K (Apr 1, 2026)WoW: 0.0%Derived from monthly estimates · SimilarWeb-equivalent
0 releases published
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