{"product_id":"amd-ryzen-ai-halo-developer-platform-ryzen-ai-max-395","title":"AMD Ryzen AI Halo Developer Platform (Ryzen AI Max+ 395)","description":"\u003cp\u003eThe AMD Ryzen AI Halo Developer Platform is AMD's own reference-hardware dev kit built around the Ryzen AI Max+ 395 Strix Halo processor. It runs local LLM inference and fine-tuning on x86 hardware with full ROCm support. It suits ML engineers and researchers whose toolchain, CI pipeline or model zoo assumes x86_64 and who want an AMD-native alternative to the NVIDIA GB10 systems.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eRunning open-weight models in the 30B–70B parameter range locally\u003c\/li\u003e\n\u003cli\u003eFine-tuning and inference on frameworks with solid ROCm support, such as PyTorch, llama.cpp and vLLM's ROCm backend\u003c\/li\u003e\n\u003cli\u003eTeams that depend on x86 Docker images and Python wheels\u003c\/li\u003e\n\u003cli\u003eDevelopers evaluating ROCm with ready-made setups for LM Studio, ComfyUI and VS Code\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAMD Ryzen AI Max+ 395 processor:\u003c\/strong\u003e 16 Zen 5 CPU cores \/ 32 threads at up to 5.1GHz boost (3.0GHz base), with 64MB of L3 cache, built on a 4nm process.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegrated Radeon 8060S GPU:\u003c\/strong\u003e 40 RDNA 3.5 compute units running up to 2.9GHz, for graphics and compute-shader throughput alongside the AI silicon.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 126 TOPS combined AI performance:\u003c\/strong\u003e The XDNA 2 NPU delivers 50 TOPS on its own; 126 TOPS is the combined CPU + GPU + NPU total AMD publishes.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB unified LPDDR5x-8000 at 256GB\/s:\u003c\/strong\u003e One memory pool shared across CPU, GPU and NPU, with AMD Variable Graphics Memory letting you allocate most of it to the GPU as VRAM.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2TB NVMe SSD pre-installed:\u003c\/strong\u003e Local storage for model weights, datasets and containers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFull ROCm support out of the box:\u003c\/strong\u003e AMD's ROCm stack comes pre-configured, with AMD AI Playbooks and ready-to-run setups for LM Studio, ComfyUI and VS Code.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e10GbE, Wi-Fi 7 and Bluetooth 5.4:\u003c\/strong\u003e Wired and wireless networking, plus 3x USB-C ports (with DisplayPort Alt Mode) and HDMI 2.1b.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact chassis:\u003c\/strong\u003e 150 x 150 x 45.4mm, roughly 1.2kg, with a 120W TDP.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor\u003c\/td\u003e\n\u003ctd\u003eAMD Ryzen AI Max+ 395, 16 cores \/ 32 threads (Zen 5), 3.0GHz base \/ up to 5.1GHz boost, 64MB L3 cache\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcess node\u003c\/td\u003e\n\u003ctd\u003eTSMC 4nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eAMD Radeon 8060S, 40 RDNA 3.5 compute units, up to 2.9GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNPU\u003c\/td\u003e\n\u003ctd\u003eAMD XDNA 2, up to 50 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCombined AI performance\u003c\/td\u003e\n\u003ctd\u003eUp to 126 TOPS (CPU + GPU + NPU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e128GB unified LPDDR5x-8000 (256-bit bus)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory bandwidth\u003c\/td\u003e\n\u003ctd\u003e256GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e2TB M.2 NVMe SSD, pre-installed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003e10 Gigabit Ethernet, Wi-Fi 7, Bluetooth 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePorts\u003c\/td\u003e\n\u003ctd\u003e3x USB-C (DisplayPort Alt Mode support), HDMI 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSoftware\u003c\/td\u003e\n\u003ctd\u003eFull AMD ROCm support, AMD AI Playbooks, LM Studio \/ ComfyUI \/ VS Code preconfigured\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating system\u003c\/td\u003e\n\u003ctd\u003eWindows 11 Pro or Linux (custom AMD BIOS)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTDP\u003c\/td\u003e\n\u003ctd\u003e120W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e150 x 150 x 45.4mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eApprox. 1.2kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConfigurations\u003c\/td\u003e\n\u003ctd\u003eWindows 11 Pro, Linux OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROCm has matured substantially, but it does not yet match CUDA's pre-built container images, third-party tutorials and community troubleshooting history. For teams invested in CUDA-specific tooling, that is a real migration cost.\u003c\/li\u003e\n\u003cli\u003eIt ships as AMD reference hardware with a custom AMD BIOS, and you choose either Windows 11 Pro or a Linux configuration.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the Ryzen AI Halo Developer Platform if you need x86 compatibility and a well-supported ROCm setup for local AI development. If your workflow is CUDA-first, an NVIDIA GB10 system is the closer match.\u003c\/p\u003e","brand":"AMD","offers":[{"title":"Windows 11 Pro","offer_id":58232540103038,"sku":"AMD-RAH-001-WINOS","price":4899.99,"currency_code":"USD","in_stock":true},{"title":"Linux OS","offer_id":58232540135806,"sku":"AMD-RAH-001-LINUXOS","price":3999.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/new-amd-ryzen-ai-halo-1_71ce8a46-6de7-48af-9190-f28b0e4a63bd.jpg?v=1792094098","url":"https:\/\/computahardware.net\/products\/amd-ryzen-ai-halo-developer-platform-ryzen-ai-max-395","provider":"ComputaHardware","version":"1.0","type":"link"}