{"product_id":"tenstorrent-wormhole-n300-ai-accelerator","title":"Tenstorrent Wormhole™ n300 AI Accelerator Card | 2× Wormhole Processors | 24GB GDDR6 Memory | PCIe Gen 4 | High-Performance AI \u0026 Machine Learning","description":"\u003cp\u003e\u003cspan\u003eTenstorrent Wormhole™ n300 Series – High-Performance AI Accelerator Card\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eNext-Generation AI Computing | Dual Wormhole Processors | 24GB GDDR6 Memory | Scalable AI Infrastructure\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAccelerate Artificial Intelligence, Machine Learning, and High-Performance Computing with Tenstorrent Wormhole™ n300.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe \u003c\/span\u003e\u003cspan\u003eTenstorrent Wormhole™ n300 Series\u003c\/span\u003e\u003cspan\u003e is a powerful PCIe-based AI accelerator designed for developers, AI researchers, enterprise computing environments, and organizations building next-generation artificial intelligence infrastructure.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003ePowered by \u003c\/span\u003e\u003cspan\u003etwo Tenstorrent Wormhole processors\u003c\/span\u003e\u003cspan\u003e, the n300 delivers parallel processing capabilities for demanding AI workloads, including large language models (LLMs), neural network inference, deep learning experimentation, and scalable AI development.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eBuilt around Tenstorrent’s innovative \u003c\/span\u003e\u003cspan\u003eTensix architecture\u003c\/span\u003e\u003cspan\u003e, the Wormhole n300 combines programmable AI compute, high-bandwidth memory, and advanced chip-to-chip connectivity.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eKey Features \u0026amp; Highlights\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eDual Wormhole AI Processors\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eFeatures two Wormhole processors on a single accelerator card, enabling substantial parallel AI computation and efficient workload distribution.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e24GB High-Speed GDDR6 Memory\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eEquipped with 24GB of total GDDR6 memory, distributed across the two processors, to support neural networks, AI models, and memory-intensive workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAdvanced Tensix Core Architecture\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eUses Tenstorrent’s programmable Tensix compute architecture, combining mathematical processing, data movement, and parallel execution capabilities.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003ePCIe Gen 4 Connectivity\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eDesigned for integration into compatible PCIe-based workstations and servers, enabling high-speed communication with host systems.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eOptimized for AI and Machine Learning\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eSuitable for supported workloads involving:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eLarge Language Models (LLMs)\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eGenerative AI applications\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eDeep Learning Research\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eNeural Network Inference\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eComputer Vision\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eNatural Language Processing (NLP)\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eAI Model Development\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHigh-Performance Parallel Computing\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003eScalable Multi-Accelerator Architecture\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWormhole’s high-speed interconnect architecture supports communication between processors and enables developers to explore scalable AI computing configurations.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eOpen-Source AI Software Ecosystem\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eDevelop applications using Tenstorrent’s software ecosystem, including TT-Metalium and TT-NN, with support for compatible AI frameworks and workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eTechnical Specifications\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable width=\"964.0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eSpecification\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eDetails\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eBrand\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eTenstorrent\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eProduct Series\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eWormhole™ n300\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eProduct Category\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eAI Accelerator Card\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eArchitecture\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eWormhole \/ Tensix\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eAI Processors\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003e2 × Wormhole\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eTotal GDDR6 Memory\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003e24GB\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eMemory Configuration\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003e12GB per processor\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eHost Interface\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003ePCIe Gen 4\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eCompute Architecture\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eProgrammable Tensix cores\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eSoftware Ecosystem\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eTT-Metalium, TT-NN\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003ePrimary Applications\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eAI Inference, ML Research, AI Development\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eInstallation\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eCompatible Workstation \/ Server\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eProduct Class\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eDedicated AI Compute Accelerator\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cspan\u003eWhy Choose Tenstorrent Wormhole n300?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e1. Purpose-Built for AI\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eUnlike traditional graphics cards primarily developed around graphics processing, the Wormhole n300 is engineered for artificial intelligence computation.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e2. Dual-Processor Computing\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eTwo Wormhole processors deliver additional parallel computing resources for supported workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e3. Developer-Focused Architecture\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eTenstorrent provides programmable computing capabilities and an open software ecosystem for researchers and developers.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e4. Scalable AI Infrastructure\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAn attractive option for organizations investigating alternative AI accelerator architectures and multi-chip computing.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e5. Ideal for Research and Development\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eSuitable for universities, research laboratories, AI startups, enterprise R\u0026amp;D teams, and specialist computing environments.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIdeal Applications\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAI Research Laboratories:\u003c\/span\u003e\u003cspan\u003e Develop and evaluate new artificial intelligence architectures and models.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eEnterprise AI Development:\u003c\/span\u003e\u003cspan\u003e Experiment with AI inference and custom neural network applications.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eUniversities \u0026amp; Educational Institutions:\u003c\/span\u003e\u003cspan\u003e Study AI accelerator architectures, parallel processing, and machine learning.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eGenerative AI Developers:\u003c\/span\u003e\u003cspan\u003e Build and test supported generative AI workloads using Tenstorrent’s software stack.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eHigh-Performance Computing Teams:\u003c\/span\u003e\u003cspan\u003e Explore programmable parallel processing and accelerator-based computing.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eImportant Compatibility Information\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe Wormhole n300 is a specialized AI accelerator rather than a conventional consumer graphics card.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eA compatible host computer, suitable PCIe slot, adequate power supply, appropriate cooling, and supported operating system are required.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAI model and framework compatibility depend on the available Tenstorrent software stack. The card should not be assumed to support CUDA-based applications without modification.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eBuy Tenstorrent Wormhole™ n300 Series in India\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eUpgrade your AI development infrastructure with the \u003c\/span\u003e\u003cspan\u003eTenstorrent Wormhole™ n300 Dual-Processor AI Accelerator\u003c\/span\u003e\u003cspan\u003e.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIdeal for AI developers, research institutions, technology companies, and enterprise customers looking for specialized AI computing hardware.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eOrder Now | Request a Quotation | Contact Us for Bulk \u0026amp; Institutional Procurement\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eProduct availability, hardware revision, accessories, warranty, and delivery timelines are subject to confirmation.\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eTenstorrent, Wormhole n300, AI Accelerator, 24GB GDDR6, Tensix Processor, PCIe Gen 4, Machine Learning Hardware, Deep Learning Accelerator, AI Computing India, LLM Inference, HPC, AI Research Hardware\u003c\/span\u003e\u003c\/p\u003e","brand":"DealCliq.com","offers":[{"title":"Active cooling N300d","offer_id":68074745823531,"sku":null,"price":229999.0,"currency_code":"INR","in_stock":true},{"title":"Passive cooling N300s","offer_id":68074745856299,"sku":null,"price":219999.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/8240\/3371\/files\/IMG_3272.png?v=1794399157","url":"https:\/\/dealcliq.com\/products\/tenstorrent-wormhole-n300-ai-accelerator","provider":"DealCliq.com","version":"1.0","type":"link"}