# FuriosaAI Aceleradores de IA e servidores para inferência empresarial - Findings24: - Site: - Categorias: Plataformas de inferência de IA, Implantação de modelos de IA ## O que é FuriosaAI? FuriosaAI designs AI accelerators for data-center inference, with RNGD as its flagship product and the NXT RNGD Server as a packaged deployment option. The company frames the hardware around high-performance, power-efficient execution for computer vision, generative AI, LLMs, and agentic workloads. The product family centers on Tensor Contraction Processor architecture, which FuriosaAI describes as a hardware-software approach optimized for tensor contraction. The site emphasizes deployment in enterprise and cloud settings, including air-cooled data centers, on-premises installations, managed environments, and colocation facilities, supported by a software stack for compilation, optimization, and production rollout. ## O que FuriosaAI pode fazer? ### Inference accelerator for modern workloads RNGD is presented as FuriosaAI’s flagship accelerator for enterprise and cloud inference, with support for LLM and multimodal deployment. ### Tensor-contraction-first architecture The platform uses Tensor Contraction Processor architecture, which FuriosaAI says is built around tensor contraction rather than fixed matmul primitives. ### Power-efficient deployment options RNGD is described with a 180W power profile and the NXT RNGD Server with a 3 kW power consumption target for air-cooled data centers. ### Inference software toolchain Furiosa Software provides compilation, optimization, and production deployment workflows for LLM inference and agentic workloads. ### Cloud-native and framework support Furiosa provides compilation, quantization, runtime execution, and LLM serving tools, including torch.compile integration, vLLM-compatible interfaces, an OpenAI-compatible API server, container support, and Kubernetes plugins. ### Enterprise deployment features RNGD supports BF16, FP8, INT8, and INT4 arithmetic. Its specifications list SR-IOV with up to eight virtual instances, ECC memory, and secure boot with a hardware root of trust. Hardware arithmetic support does not mean every quantization mode is available in every SDK version. ## Casos de uso ### Enterprise LLM inference Run high-throughput LLM inference in data centers where power density and rack utilization matter, using RNGD or the NXT RNGD Server as the deployment target. ### Multimodal model serving Deploy multimodal models in cloud or enterprise environments where the site highlights low-latency execution and production-ready software support. ### Hardware evaluation and rollout planning Evaluate, integrate, and qualify accelerators through the Furiosa Access Program before moving to production deployment. ### Air-cooled appliance deployment Package inference into an air-cooled appliance for on-premises, managed, or colocation environments using the NXT RNGD Server. ### Compiler-led production deployment Use the Furiosa software stack to compile, optimize, and ship models with PyTorch 2.x and cloud-native tooling. ## Perguntas frequentes ### What is RNGD used for? FuriosaAI positions RNGD as an AI accelerator for enterprise and cloud inference. The source describes it as supporting high-performance LLM and multimodal deployment capabilities, and the NXT RNGD Server as a 3 kW inference appliance for agentic systems. ### What software support is available for deployment? Furiosa provides compilation, quantization, runtime execution, and LLM serving tools, including torch.compile integration, vLLM-compatible interfaces, an OpenAI-compatible API server, container support, and Kubernetes plugins. ### How can teams evaluate the hardware before deployment? Teams worldwide can request a dedicated NXT RNGD bare-metal server or an OpenAI-compatible API endpoint to evaluate performance, latency, power, and application compatibility. Access requires a request; it is not an unrestricted free plan. ### Is pricing listed on the website? Prices are not publicly listed. Contact FuriosaAI for a hardware configuration and quote. ## Informações rápidas - **Category**: AI accelerators / inference hardware - **Primary products**: RNGD PCIe and NXT RNGD Server - **Architecture**: Tensor Contraction Processor (TCP) - **Primary users**: Enterprise and cloud inference teams - **Deployment**: On-premises, managed environments, colocation, and air-cooled data centers - **Source domain**: furiosa.ai