vs. a 4× RTX desktop
A 4-GPU desktop needs dedicated 20-amp circuits and pulls up to 1,800 W under load, battling thermal throttling and PCIe bottlenecks. A GX10 cluster pulls a fraction of that and runs from a standard office outlet.
Put private AI hardware to work through VS Platform. Deploy AI tools, agents and supporting services from the solution catalog, then manage them across locations from one control plane. The Mini Desk Rack combines ASUS Ascent GX10 compute, networking and a private Ollama deployment in a compact system.
Complete hardware + software + services bundle. Subscription runs 12 months from time of purchase.
Unified memory scales linearly with nodes. The sweet spot isn't raw single-user speed. It's running massive models and serving many concurrent agents efficiently, from a standard outlet.
A 4-GPU desktop needs dedicated 20-amp circuits and pulls up to 1,800 W under load, battling thermal throttling and PCIe bottlenecks. A GX10 cluster pulls a fraction of that and runs from a standard office outlet.
Plenty of memory, but Apple Silicon. GX10 runs native Linux and NVIDIA's CUDA stack, so every open-source AI project, library and framework works without workarounds.
Run models locally and choose which data stays within your network. VS Platform manages the deployment alongside the rest of your edge.
FlexPondi Pi5 connects distributed locations to VS Platform for centralized deployment, security, monitoring and management.
Explore FlexPondi Pi5A 30-minute walkthrough of VS Platform on your use case: onboarding a node, standing up a secure network, deploying from the catalog, and seeing it all in one portal.