{"product_id":"tenstorrent-blackhole-p100a-ai-accelerator-india","title":"Tenstorrent Blackhole P100a AI Accelerator Card | RISC-V Architecture | High-Performance AI \u0026 Machine Learning Computing","description":"\u003cp\u003e\u003cspan\u003eTenstorrent Blackhole P100a AI Accelerator – 28GB GDDR6 | 664 TFLOPS | 120 Tensix Cores | PCIe 5.0\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eNext-Generation AI Acceleration Powered by RISC-V Architecture\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eUnlock advanced artificial intelligence computing with the Tenstorrent Blackhole P100a\u003c\/span\u003e\u003cspan\u003e, a high-performance PCIe AI accelerator designed for developers, researchers, AI engineers, and machine learning professionals.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eFeaturing \u003c\/span\u003e\u003cspan\u003e120 Tensix Cores, 16 high-performance RISC-V cores, 28GB GDDR6 memory, and up to 664 TFLOPS of BLOCKFP8 compute performance\u003c\/span\u003e\u003cspan\u003e, the Blackhole P100a delivers powerful AI processing capabilities in a desktop workstation-compatible form factor.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eBuilt around Tenstorrent’s innovative Blackhole architecture, this accelerator combines high-speed memory, dedicated AI processing cores, and an open-source software ecosystem to support demanding AI development and experimentation.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eKey Features \u0026amp; Highlights\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cspan\u003e664 TFLOPS BLOCKFP8 Performance\u003c\/span\u003e\u003cspan\u003e – High-throughput AI computation for supported machine learning workloads.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e120 Tensix AI Cores\u003c\/span\u003e\u003cspan\u003e – Specialized processing architecture optimized for tensor operations.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e16 RISC-V Processor Cores\u003c\/span\u003e\u003cspan\u003e – Integrated SiFive X280 processor cores for programmable computing.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e28GB GDDR6 Memory\u003c\/span\u003e\u003cspan\u003e – High-capacity onboard memory for AI workloads.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e448GB\/s Memory Bandwidth\u003c\/span\u003e\u003cspan\u003e – Fast data transfer for demanding neural network operations.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e180MB On-Chip SRAM\u003c\/span\u003e\u003cspan\u003e – High-speed local memory supporting efficient processing.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003ePCI Express 5.0 x16 Interface\u003c\/span\u003e\u003cspan\u003e – High-bandwidth host connectivity.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eUp to 1.35GHz AI Clock\u003c\/span\u003e\u003cspan\u003e – Powerful compute architecture for advanced AI applications.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e300W Total Board Power\u003c\/span\u003e\u003cspan\u003e – Designed for performance-oriented workstation environments.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eActive Cooling System\u003c\/span\u003e\u003cspan\u003e – Integrated cooling solution for desktop installations.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eOpen-Source Software Ecosystem\u003c\/span\u003e\u003cspan\u003e – Access to Tenstorrent’s development tools and software stack.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003eAdvanced AI \u0026amp; Machine Learning Performance\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe Blackhole P100a is designed to accelerate computationally intensive artificial intelligence workloads through its dedicated Tensix processing architecture.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIts combination of high compute throughput, fast onboard memory, and programmable RISC-V cores makes it suitable for developers exploring modern AI algorithms, neural networks, and custom AI applications.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIdeal Applications\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eArtificial Intelligence Development\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eBuild, test, and optimize supported AI applications using Tenstorrent’s software ecosystem.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eLarge Language Model Research\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eExplore supported transformer architectures, language model inference, and generative AI workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eDeep Learning \u0026amp; Neural Networks\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eDevelop and experiment with advanced deep learning models and tensor-intensive computations.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eComputer Vision \u0026amp; Image Processing\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAccelerate supported AI workloads involving image classification, object detection, and visual data analysis.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAI Research \u0026amp; Education\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAn excellent platform for universities, AI laboratories, and research institutions exploring alternative accelerator architectures.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eCustom AI Kernel Development\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eUse Tenstorrent’s open-source programming environment for low-level hardware exploration and performance optimization.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eActual model compatibility and performance depend on software support, workload configuration, and implementation.\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\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eBlackhole P100a\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\u003eManufacturer Part Number\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eTC-03008\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 Type\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003ePCIe AI 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\u003eProcessor Architecture\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eBlackhole 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\u003eTensix Cores\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003e120\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\u003eRISC-V Cores\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003e16 SiFive X280\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 Clock\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eUp to 1.35GHz\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\u003ePeak BLOCKFP8 Compute\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003e664 TFLOPS\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\u003eOnboard Memory\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003e28GB GDDR6\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 Speed\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003e16 GT\/s\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 Bandwidth\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003e448GB\/s\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\u003eOn-Chip SRAM\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003e180MB\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\u003ePCI Express 5.0 x16\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 Board Power\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eUp to 300W\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\u003eExternal Power Connector\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003e12V-2x6 (12+4 pin)\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\u003eCooling\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eActive Cooling\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\u003eForm Factor\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eDual-Slot PCIe 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\u003eDimensions\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003e42 × 270 × 111 mm\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\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd valign=\"middle\"\u003e\n\u003cp\u003e\u003cspan\u003eTenstorrent Open-Source Stack\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\u003eSystem Requirements\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eFor optimal installation and operation, Tenstorrent specifies:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cspan\u003eProcessor:\u003c\/span\u003e\u003cspan\u003e x86-64 compatible CPU\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eMotherboard:\u003c\/span\u003e\u003cspan\u003e PCIe 5.0 x16 slot recommended\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eSystem RAM:\u003c\/span\u003e\u003cspan\u003e Minimum 64GB\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eStorage:\u003c\/span\u003e\u003cspan\u003e Minimum 100GB; 2TB or more recommended\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eOperating System:\u003c\/span\u003e\u003cspan\u003e Ubuntu 22.04\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003ePower Supply:\u003c\/span\u003e\u003cspan\u003e ATX 3.1 certified or newer\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003ePower Connector:\u003c\/span\u003e\u003cspan\u003e Compatible 12V-2x6 power connection\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eExpansion Space:\u003c\/span\u003e\u003cspan\u003e Dual-slot clearance\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eInternet:\u003c\/span\u003e\u003cspan\u003e Required for software installation\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003eEnsure the workstation has adequate power capacity, airflow, and compatible hardware before installation.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWhy Choose Tenstorrent Blackhole P100a?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eInnovative RISC-V-Based AI Architecture\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eUnlike conventional GPU-focused computing platforms, Tenstorrent offers an alternative approach to AI acceleration with its Tensix architecture and integrated RISC-V processing cores.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eOpen-Source Development Environment\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eTenstorrent provides developers access to an open-source software stack, enabling experimentation, kernel development, and hardware-level optimization.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eHigh-Speed AI Memory Architecture\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWith 28GB of GDDR6 memory, 448GB\/s bandwidth, and 180MB of SRAM, the accelerator is engineered for data-intensive AI processing.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eDesigned for Desktop Workstations\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe active-cooled PCIe form factor enables integration into compatible desktop workstation systems without requiring a dedicated rack-mounted AI server.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eFrequently Asked Questions\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eQ: What is the Tenstorrent Blackhole P100a?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe Blackhole P100a is a dedicated AI accelerator card designed for machine learning, AI research, neural network processing, and software development.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eQ: How much memory does the Blackhole P100a have?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIt features 28GB of GDDR6 memory with 448GB\/s memory bandwidth.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eQ: Does the Blackhole P100a support PCIe 5.0?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eYes. It uses a PCI Express 5.0 x16 host interface.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eQ: Is the Blackhole P100a a standalone computer?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eNo. It is an AI accelerator expansion card requiring a compatible host workstation.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eQ: Can the P100a run large language models?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIt can run supported AI and language models, subject to available memory, model size, software compatibility, and workload requirements.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eQ: Does it support CUDA?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe Blackhole P100a uses Tenstorrent’s own software ecosystem rather than functioning as an NVIDIA CUDA GPU. Existing CUDA applications cannot be assumed to run without adaptation.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eQ: Is this suitable for AI researchers and developers in India?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eYes. It is particularly relevant for developers, universities, research laboratories, and organizations evaluating alternative AI acceleration platforms.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eBuy Tenstorrent Blackhole P100a AI Accelerator in India\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eLooking to upgrade your AI research workstation or explore next-generation machine learning hardware?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eChoose the Tenstorrent Blackhole P100a for advanced AI development, open-source experimentation, and high-performance tensor processing.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eOrder Now | Enquire for Availability | Request a Quotation\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eYes this product is available and includes all charges including GST and Customs. \u003c\/span\u003e\u003c\/p\u003e","brand":"DealCliq.com","offers":[{"title":"Default Title","offer_id":68073426059563,"sku":null,"price":179999.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/8240\/3371\/files\/IMG_3253.png?v=1794394028","url":"https:\/\/dealcliq.com\/products\/tenstorrent-blackhole-p100a-ai-accelerator-india","provider":"DealCliq.com","version":"1.0","type":"link"}