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Andromeda Insights AI Galaxy V3: AI Workstation and Gaming PC
A desktop built to run AI locally. The AMD Radeon AI PRO R9700 carries 32GB of GDDR6, twice the 16GB of the RX 9070 XT that shares its RDNA 4 design, so 30B-class open language models fit entirely in GPU memory. Your prompts, documents and results stay on your machine, there is no subscription or per-token billing, and downloaded models keep working offline. When the work is done, the same graphics and the Ryzen 7 7800X3D with 3D V-Cache handle 1440p and 4K gaming.
What you can do with it
Why 32GB matters
A language model runs fastest when all of its weights sit in GPU memory. A 32-billion-parameter model at 4-bit quantization needs roughly 18 to 20GB before its context window: more than a 16GB card holds, but well within the R9700, with memory left over for longer conversations and documents. The 128 AI accelerators and 640 GB/s of memory bandwidth keep responses quick.
Software
On the included Windows 11 Home, apps such as LM Studio run models on the R9700 through their Vulkan backend. On Linux, AMD ROCm lists the R9700 as supported, the usual route for PyTorch-based tools. Support differs by app and changes over time, so check each app's AMD GPU support.
PC Specs
Our Warranty
In the box: Quickstart Guide, Power Cables, Wi-Fi / Bluetooth Adapters, packaged with care foam.
Photos show the AI Galaxy V3 case for illustration. The installed graphics card is the Radeon AI PRO R9700 32GB, and its brand may vary. AI and gaming performance vary by model, software and settings.