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Cambricon MLU270-S4/Siyuan 270-S4 + Blaize Xplorer X1600P +2 Radian RMS-200/8G:
$600.00
AI Bundle. Over 100 TOPS, 75W cards, draw power from PCIE Slots, no need for extra cabling.Alternative to Nvidia Tesla Referral P40, Tesla Referral V100, AMD Radeon Instinct MI50, MI25, MI60. High-performance computing, matrix arithmetic coprocessor, local LLM inference cluster, GSP acceleration, low-profile PCIe AI accelerator, sparse matrix computation block, open-source AI development node.Up for sale is a highly specialized, power-efficient, and dense Heterogeneous AI Inference & Accelerated Storage Buffer Combo. This hardware stack was deliberately curated for custom blade clusters and edge AI soundstages to process advanced compute workloads without the massive power draw or bulk of full-sized data center cards.Perfect for homelabs, independent developers, or research teams looking to deploy local pipelines (ONNX, custom Vulkan shaders) entirely offline.📦 What is Included in the Bundle: - 1x Cambricon MLU270-S4 Accelerator Card: (New in Box) A brilliant, compact half-height, half-length PCIe accelerator card optimized for edge tensor processing, custom VLM pipelines, and sparse matrix mathematics.
- 1x Blaize Xplorer X1600P PCIe Accelerator: (New in Box) An enterprise-grade Graph Streaming Processor (GSP) built explicitly for visual data parsing, spatial mapping culling, and multi-stream execution frames.
- 2x Radian RMS-200 NVRAM Cards: (Used Hardware) Exceptional, ultra-fast NVRAM flash buffer cards. Ideal for building a massive low-latency ingestion lane, zero-loss transaction queues, or persistent scratch storage right on the PCIe bus.
🔧 Condition and Hardware Notes: - The Cambricon S4 and Blaize Xplorer are pristine and brand new in their boxes, never deployed.
- The pair of Radian RMS-200 NVRAM units are clean, verified server pull hardware.
- All cards conform to standard, space-saving low-profile form factors, making them exceptionally easy to pack tightly into 4U enclosures, slim Mini-ITX chassis layouts, or float via OCuLink riser extensions.
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