Most servers top out at 8 GPUs — and roughly 80% of the market is limited to just 2–4 — forcing large models across many systems, with stranded capacity and a rising cost per token.
Most servers top out at 8 GPUs — and roughly 80% of the market is limited to just 2–4 — forcing large models across many systems, with stranded capacity and a rising cost per token.
Delivers the highest AMD GPU density available — up to 30 AMD MI350P GPUs in a single server — for superior AI inference tokenomics: more tokens per dollar and more tokens per watt.
Deploy frontier and large-context models that demand massive HBM — on a single server instead of four or more — at industry-leading cost per token.
4.3 TB of aggregate HBM3E keeps long context windows resident in GPU memory, sustaining throughput where legacy nodes stall.
Serve small, medium and large models from one shared GPU pool with native Kubernetes support — higher models-per-server density.
Run sales, HR, marketing, legal and coding assistants on-premises, where data stays private and costs stay predictable.
Retrieval-augmented generation and long-context inference benefit directly from more than terabytes of pooled HBM per system.
Drug discovery, materials science and mechanical design get GPU capacity that flexes with demand — no re-cabling, no reboots.
Most servers top out at 8 GPUs — and roughly 80% of the market is limited to just 2–4 — forcing large models across many systems, with stranded capacity and a rising cost per token.
Whether your needs are performance, agility, or efficiency, pool your enterprise GPU infrastructure with LIQID.
LIQID’s innovative software-defined composable infrastructure platform enables users to manage, scale out, and configure physical bare-metal server systems in seconds.
