Furiosa AI offers cutting-edge AI accelerators known as RNGD for large language models (LLMs) and multimodal tasks, emphasizing energy efficiency and high performance. Their infrastructure is built on the Tensor Contraction Processor (TCP) architecture, which enhances tensor operations over traditional matrix multiplications. The Gen 2 RNGD accelerators are optimized for low latency and high throughput while promising reduced operational costs. With a robust Furiosa SDK and comprehensive developer support, these tools streamline the deployment of advanced AI models in various environments. The platform targets energy-efficient computing, contributing to sustainable AI.
• optimized for cloud and enterprise environments
• comprehensive software toolkit
• programmability for future models
• supports bf16, fp8, int8, int4
• energy-efficient design (150w tdp)
• tensor contraction processor architecture
• high-performance llm and multimodal deployment
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Advanced AI accelerators designed for LLM and multimodal applications.
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Advanced AI accelerators designed for LLM and multimodal applications.
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Advanced AI accelerators designed for LLM and multimodal applications.
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