{"title":"Refurbished","description":null,"products":[{"product_id":"beelink-mate-se-80gbps-dock-for-ser8-ser9-pro-max-and-ser10-max","title":"Beelink Mate SE 80Gbps Dock for SER8、SER9 Pro\/Max and SER10 Max","description":"\u003cp data-pm-slice=\"1 1 []\"\u003e\u003cspan\u003eThe Beelink Mate SE is an 80Gbps docking station designed specifically for the SER8, SER9 Pro, SER9 MAX, and SER10 MAX mini PCs. It provides dual-SSD storage expansion, an additional 2.5GbE Ethernet port, USB-A connectivity, and an SD card reader — all through a single high-speed USB-C connection. Whether you need more storage or additional ports without multiple adapters, the Mate SE integrates seamlessly with your SER-series mini PC.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003e\u003cspan\u003eKey Features\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-spread=\"false\"\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003e80Gbps USB-C Connection\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — delivers up to 80Gbps of bandwidth between the dock and your SER-series mini PC, approximately twice the maximum throughput of USB4\/Thunderbolt 3, ensuring fast transfers for storage-intensive workflows.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eDual M.2 PCIe 4.0 x2 SSD Slots, Up to 16TB\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — two NVMe slots expand storage capacity without opening your mini PC, ideal for media libraries, large projects, and backups.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003e2.5GbE Ethernet Port\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — adds a dedicated high-speed wired network connection for data-intensive applications and latency-sensitive tasks.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eSD 4.0 Card Reader + 2x USB-A 3.0 Ports\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — provides convenient access to camera memory cards and additional peripherals, supporting up to 15W combined power.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eMatched Industrial Design\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — slim 18mm aluminum-alloy construction with a 135 x 135mm footprint, designed to align neatly with compatible SER-series mini PCs for a clean desktop setup.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eActive Cooling\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — an integrated fan, heatsink, and ventilation channels help prevent SSD thermal throttling during sustained data transfers.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eFlexible Power Delivery\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — peripherals drawing under 15W are powered directly by the host mini PC, while an additional USB-C PD input supports higher-power SSDs and devices.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e\u003cstrong\u003e\u003cspan\u003eExpand Your SER-Series Mini PC's Storage and Connectivity\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan\u003eThe SER8, SER9, and SER10 MAX deliver strong performance, but internal storage expansion is limited by available M.2 slots. The Mate SE provides a convenient alternative, adding up to 16TB of NVMe storage across two independent PCIe 4.0 x2 slots through a single 80Gbps USB-C connection — without opening your mini PC.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIts 80Gbps interface offers approximately twice the bandwidth of conventional 40Gbps USB4 and Thunderbolt 3 connections, reducing potential bottlenecks when transferring large files or working with fast NVMe drives. This makes it particularly useful for content creators, video editors, and professionals managing extensive media libraries or project archives.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eBeyond storage, the Mate SE adds an SD 4.0 card reader for transferring photos and video footage, two USB-A 3.0 ports for peripherals, and a dedicated 2.5GbE Ethernet connection for reliable wired networking. Low-power devices operate directly through the host connection, while an external USB-C PD adapter can support more demanding hardware.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eTwo 80Gbps-rated USB-C to USB-C cables are included, with an in-box cable specifically fitted for SER8 and SER9 Pro systems. For SER9 MAX and SER10 MAX configurations, ensure the selected cable supports the full 80Gbps connection speed.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eUK Warehouse Dispatch:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e All orders ship from our UK warehouse with 1–3 day processing. No import fees apply to orders shipped to the EU, UK, and US.\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch4\u003e\u003cstrong\u003eSpecifications\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eHost compatibility: Beelink SER8, SER9 Pro, SER9 MAX, SER10 MAX\u003c\/li\u003e\n\u003cli\u003eHost connection: USB-C, up to 80Gbps data transfer\u003c\/li\u003e\n\u003cli\u003eStorage: Dual M.2 PCIe 4.0 x2 SSD slots, up to 16TB total capacity\u003c\/li\u003e\n\u003cli\u003eNetworking: 2.5Gbps Ethernet port\u003c\/li\u003e\n\u003cli\u003eOther ports: SD 4.0 card reader, 2x USB-A 3.0 (up to 15W combined)\u003c\/li\u003e\n\u003cli\u003ePower: Bus-powered under 15W from host; USB-C PD input for higher-power SSDs\/devices\u003c\/li\u003e\n\u003cli\u003eCooling: Active fan + heatsink with ventilation channels\u003c\/li\u003e\n\u003cli\u003eBuild: Aluminum alloy, Frost Silver finish\u003c\/li\u003e\n\u003cli\u003eDimensions: approx. 135 x 135 x 18mm profile\u003c\/li\u003e\n\u003cli\u003eIncluded accessories: 2x USB-C to USB-C cables rated for 80Gbps (fitted for SER8\/SER9 Pro; SER9 MAX\/SER10 MAX owners may need a compatible Thunderbolt\/USB4 cable of their own)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":61446657540430,"sku":null,"price":119.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1053\/8844\/1934\/files\/1_ceec0af6-bd60-4e25-b872-72a8aee2084d.jpg?v=1793318880"},{"product_id":"amd-radeon-ai-pro-r9700-32gb","title":"AMD Radeon AI PRO R9700 (32GB)","description":"\u003ch1\u003e\u003cspan\u003eAMD Radeon AI PRO R9700 – 32GB GDDR6 Professional AI Workstation Graphics Card\u003c\/span\u003e\u003c\/h1\u003e\n\u003cp\u003e\u003cspan\u003eThe \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eAMD Radeon AI PRO R9700\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e is AMD’s first RDNA 4-based workstation graphics card, engineered to deliver powerful local AI performance without the substantial investment required for a 48GB flagship workstation GPU or datacenter accelerator. Combining \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003e32GB of GDDR6 memory, advanced AI acceleration, and a compact dual-slot blower design\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e, the R9700 offers an excellent balance of performance, memory capacity, and affordability.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eDesigned for AI developers, data scientists, engineers, and technical content creators, the Radeon AI PRO R9700 provides the computational power and memory capacity needed for local AI inference, model fine-tuning, and demanding professional workloads—all within a workstation-friendly form factor and budget.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003eKey Features\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eNext-Generation RDNA 4 Architecture (Navi 48)\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — Built on TSMC’s advanced 4nm manufacturing process, AMD’s latest GPU architecture delivers significant improvements in AI acceleration and computational efficiency compared with previous-generation RDNA 3 workstation graphics cards.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003e32GB GDDR6 Memory with 640GB\/s Bandwidth\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — Features 32GB of dedicated GDDR6 memory operating at 20Gbps across a 256-bit memory interface. This substantial memory capacity supports quantized large language models (LLMs) in the 30B+ parameter range, as well as on-device fine-tuning of smaller AI models.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003e64 Compute Units and 4,096 Stream Processors\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — Equipped with 64 Compute Units, 4,096 Stream Processors, and 64 second-generation Ray Accelerators, delivering powerful GPU compute capabilities for professional rendering, engineering visualization, and graphics-intensive applications.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003e128 Second-Generation AI Accelerators\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — Delivers up to \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003e95.7 TFLOPS of dense FP16 performance\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e and up to \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003e1,531 TOPS of INT4 performance with sparsity\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e. These dedicated AI acceleration resources are optimized for the low-precision computational workloads used in modern AI inference and quantized machine learning models.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eMulti-GPU Scalability for Larger AI Models\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — Supports multi-GPU configurations that distribute memory requirements and computational workloads across multiple Radeon AI PRO R9700 cards. This enables developers to work with models exceeding the capacity of a single GPU while offering a cost-effective alternative to flagship workstation solutions.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eCompact Dual-Slot Blower Cooling Design\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — Features an efficient 2-slot blower-style cooling solution designed for professional workstations and space-constrained systems. Its compact design facilitates dense multi-GPU installations without the substantial clearance and airflow requirements of larger graphics cards.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eFour DisplayPort 2.1a Outputs\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — Provides four DisplayPort 2.1a connections for advanced multi-monitor configurations, making the card equally suitable for engineering, professional visualization, and creative workflows alongside AI development.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eROCm Support for Linux and Windows\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — Compatible with AMD’s open ROCm software ecosystem, providing AI developers with a flexible platform for machine learning, GPU computing, and AI application development across officially supported Linux and Windows environments.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan\u003ePurpose-Built for Local AI Development\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eThe AMD Radeon AI PRO R9700 is designed to bridge the gap between consumer graphics cards and high-end professional AI accelerators. By combining a generous 32GB memory capacity with dedicated AI acceleration hardware, it provides the resources required for serious local AI development without the considerable expense associated with 48GB flagship workstation GPUs.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eFor developers working with open-weight large language models, the R9700 offers substantial memory headroom for running quantized models locally, fine-tuning smaller neural networks, and developing retrieval-augmented generation (RAG) applications before deployment to cloud infrastructure.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIts \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003e32GB of dedicated VRAM\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e provides a practical balance between model capacity and hardware cost, allowing developers to experiment with significantly larger AI workloads while avoiding the premium associated with the highest-capacity professional accelerators.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAt the heart of its AI capabilities are \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003e128 second-generation AI Accelerators\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e, optimized for low-precision matrix operations such as INT4, INT8, and FP8. These computational formats are fundamental to modern LLM inference, enabling efficient processing of quantized models while taking advantage of the architectural improvements introduced with RDNA 4.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003eScalable Multi-GPU Performance for AI Workstations\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eFor organizations building dedicated AI development systems, the Radeon AI PRO R9700 offers a flexible and scalable hardware foundation.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIts compact dual-slot blower cooling design makes it practical to install multiple graphics cards within a compatible workstation chassis, enabling developers to distribute demanding AI workloads across several GPUs.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThrough supported multi-GPU frameworks and model-sharding techniques, multiple R9700 cards can collectively accommodate models that exceed the memory capacity of an individual GPU. This approach provides a potentially more economical path to larger AI workloads than investing in a single flagship workstation accelerator.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe ability to expand GPU resources incrementally is particularly valuable for development teams that want to establish local AI infrastructure and increase computational capacity as their requirements evolve.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eBeyond artificial intelligence, the R9700 also delivers professional GPU acceleration for \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003e3D rendering, engineering visualization, scientific computing, and data-intensive creative applications\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e, making it a versatile solution for workstations that handle a combination of AI and traditional professional workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003eROCm Software Ecosystem and AI Framework Compatibility\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eThe Radeon AI PRO R9700 benefits from AMD’s increasingly mature \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eROCm open software platform\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e, with official support across Linux and Windows.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eROCm provides the GPU computing foundation for developing and deploying machine learning applications using popular AI frameworks and inference technologies, including:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003ePyTorch with ROCm\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — GPU-accelerated machine learning development, model training, and fine-tuning.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003ellama.cpp\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — Efficient local inference for quantized large language models.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003evLLM\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — High-performance LLM inference and model-serving workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003eAlthough ROCm compatibility and performance have improved considerably, NVIDIA’s CUDA ecosystem continues to offer broader support for some newly released and experimental AI research projects.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eFor teams using established inference frameworks and supported machine learning applications, however, the Radeon AI PRO R9700 provides a compelling combination of memory capacity, dedicated AI performance, and cost efficiency—particularly when compared with NVIDIA professional graphics cards offering similar VRAM capacities.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003eAn Accessible Foundation for Professional AI Computing\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eThe AMD Radeon AI PRO R9700 represents a practical entry point into high-performance local AI computing, delivering professional-grade memory capacity and dedicated AI acceleration at a more accessible price than higher-tier workstation solutions.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWith \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003e32GB GDDR6 memory, 128 AI Accelerators, up to 1,531 INT4 TOPS with sparsity, and support for scalable multi-GPU configurations\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e, it provides a strong foundation for AI inference, model development, and demanding technical workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eFor developers and organizations establishing their first dedicated local AI workstation, the R9700 offers an attractive balance of capability, expandability, and investment. 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Because each slot is independent, you don’t need to buy six drives on day one; start with one or two and add more as your library (or your family) grows.\u003c\/p\u003e\n\u003cp\u003eThe dedicated fast boot slot is a smart piece of engineering: rather than treating all six slots identically, Beelink routes the primary OS drive through the higher-bandwidth PCIe 3.0 x2 lane, so the system itself stays responsive even while the other five slots are busy serving files to multiple devices. Paired with dual 2.5GbE ports supporting link aggregation, the ME mini can comfortably stream 4K video to several rooms simultaneously while a backup job runs in the background — without everything grinding to a crawl.\u003c\/p\u003e\n\u003cp\u003eIt ships running Windows, which means setup is as simple as any other PC — no proprietary NAS interface to learn, and full compatibility with everyday Windows file sharing, media server software, and remote access tools. 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