Disaggregate the devices, then compose the server you need
Four pieces make it work[src]. Expansion chassis hold the devices: the EX-5410P takes ten 600 W double-wide PCIe cards. Gen5 fabric switches connect the chassis to the hosts. A host bus adapter goes in each server. LIQID Matrix decides which device belongs to which host. Liqid states that composed GPUs appear to the host as native bare-metal PCIe devices[src], and its host bus adapter needs no additional software[src].
The same GPUs do more work when they are not locked in one box
Liqid publishes bigger numbers for this effect: up to 75% fewer servers for the same GPU throughput and infrastructure costs cut by up to 50%, plus, separately, up to 3.5× greater MLPerf performance from direct GPU-to-GPU communication[src]. Treat them as the vendor's best cases. On its MI350P datasheet Liqid labels its own efficiency figures “targets, not measurements”[src]. The useful number is yours: put your teams' GPU counts and peak times into the GPU & CXL memory pooling calculator, or send them to us and we'll model the pooled estate against the fixed one before you buy.
Liqid products we supply and quote
Liqid GPU pooling: SmartStack & UltraStack
UltraStack with AMD Instinct MI350P
Liqid CXL memory pooling
LIQID Matrix software
Liqid PCIe & CXL fabric hardware
Liqid LQD4500 IO Accelerator
Liqid server & GPU compatibility
Which Liqid product fits the problem?
| If you need… | Start with | Why |
|---|---|---|
| More GPUs in one server than its chassis allows | UltraStack 10 / 20 / 30 | Up to 30 GPUs composed to a single host |
| A GPU pool shared between teams or shifts | SmartStack 10 to 30+ | 10 to 30 GPUs across 4 to 16 hosts |
| Private, multi-model AI inference on one server | UltraStack with AMD MI350P | 4 to 30 MI350P, 144 GB HBM3E each |
| Memory-bound databases, RAG or KV cache | EX-5410C CXL SmartStack | 10 to 40 TB SmartStacks; up to 100 TB per server on a larger fabric |
| GPUs for Dell PowerEdge MX blades | SmartStack MX | Up to 20 GPUs per MX compute sled |
| 600 W GPUs on Cisco UCS C-Series | Cisco reference design | 30 GPUs pooled across up to 8 UCS servers |
| Very fast local NVMe for a GPU host | LQD4500 IO Accelerator | Up to 32 TB and 4M read IOPS per card |
Sources: GPU pooling page, SmartStack, MI350P, EX-5410C, SmartStack MX and LQD4500 datasheets, and Liqid's Cisco UCS brief. Bundles are fixed, validated configurations; we confirm the current revision on quote.
Where composability pays, and where it doesn't
Expensive GPUs with uneven demand
Many models, one server
Memory-bound data
Refreshing servers, keeping GPUs
One big, tightly coupled training job
One GPU per server, busy all day
What to check before a Liqid system arrives
| Check | What Liqid publishes | Why it matters |
|---|---|---|
| GPU chassis power | EX-5410P: 4 × 3000 W Titanium PSUs, Saf-D-Grid 400 V connectors, 100–277 VAC[src] | Your PDUs need matching inlets and circuits per chassis. |
| Operating temperature | EX-5410P: 0–27 °C[src]. EX-5410C and the FX switches: 0–35 °C[src][src] | The GPU chassis has a lower ceiling than most servers. Check your inlet temperature. |
| Whole-system power | UltraStack MI350P: about 22 kW at 30 GPUs, air-cooled[src] | Plan rack density with our rack power planner. |
| Host operating system | HBA hot-plug on Windows and Linux; Windows Server 2012 R2 or later, no desktop editions[src] | Desktop editions of Windows are not supported, and the BIOS must support PCIe native mode. |
| Warranty and support | SmartStack: 36- or 60-month software and hardware[src] | Two terms are offered, covering Liqid software and hardware; we quote both. |
| Support hours | Standard support Mon–Fri 8am–5pm US Mountain time, with no holiday or after-hours cover. The same sheet sets a 1-hour Sev 1 response target and on-call paging by phone for outages[src] | Standard hours are roughly 3pm to midnight UK time for most of the year. We confirm which support tier applies on your quote. |
Turn the kilowatts into cooling with the server room cooling calculator, and size the GPUs themselves with the AI GPU calculator.
Get a Liqid system sized and quoted
- We check your servers and GPUs against Liqid’s current compatibility list, including the riser, BIOS and enclosure footnotes.
- We size the bundle against your workload: UltraStack, SmartStack, MI350P or CXL memory.
- We quote the whole build: Liqid hardware and Matrix, plus host servers, GPUs and networking.
- We confirm lead time, warranty term and support path on every quote.
Liqid composable infrastructure: common questions
What is Liqid?
Liqid is a composable infrastructure company founded in the greater Denver area. It makes LIQID Matrix software and the PCIe Gen5 and CXL 2.0 fabric hardware (expansion chassis, switches and host bus adapters) that pool GPUs, memory and NVMe storage outside the server and assign them to bare-metal hosts in software. It also sells validated bundles, SmartStack and UltraStack, built around that hardware.
What is composable infrastructure?
Composable infrastructure separates the expensive devices in a server (GPUs, memory, NVMe, DPUs) from the server itself, puts them in shared pools on a fast fabric, and lets software attach them to whichever host needs them. Instead of buying a server sized for its peak, you buy hosts and pools separately and recompose as demand moves. Liqid calls its version composable disaggregated infrastructure (CDI). For how it differs from blade-frame composability, see our HPE Synergy page.
How many GPUs can one server use with Liqid?
Up to 30. The UltraStack bundles compose 10, 20 or 30 GPUs to a single host server, using one, two or three Liqid 10-slot expansion chassis. Liqid’s Cisco brief applies the same limit to 1U and 2U UCS C-Series servers. See Liqid GPU pooling for the full SmartStack and UltraStack tables.
What is the difference between SmartStack and UltraStack?
UltraStack puts every GPU in the bundle on one host, for scale-up jobs that want 10 to 30 GPUs in a single operating system. SmartStack shares the pool across several hosts: from 10 GPUs and 4 hosts (SmartStack 10) up to 30 GPUs and 16 hosts (SmartStack 30+), so GPUs move between servers as demand shifts. Both run on LIQID Matrix and Liqid’s 10-slot expansion chassis; the current SmartStack is specified with the Gen5 EX-5410P.
Will Liqid work with the servers we already own?
Often, yes. Liqid’s hardware compatibility list (August 2026) includes 21 Dell PowerEdge models, Cisco UCS C-Series, Fsas Technologies PRIMERGY, HPE ProLiant DL380 Gen10, Lenovo SR655 and Supermicro systems, but several entries carry conditions such as a specific riser, BIOS or enclosure generation. Each host needs a Liqid host bus adapter in a free x16 slot: the Gen5 HX-5160P-1C for current bundles, or Liqid’s earlier-generation adapters for older Gen3 and Gen4 hosts on the list. We check your exact models before quoting; see Liqid compatibility.
Which GPUs can be pooled?
PCIe cards up to full-height, full-length, double-wide and 600 W. Liqid’s compatibility list includes NVIDIA H100, H100 NVL, H200 NVL, L40S, L4 and RTX PRO 6000, AMD Instinct MI100 and MI210, and Intel Flex and Max GPUs, among others. The UltraStack MI350P system uses AMD Instinct MI350P. SXM-module GPUs on HGX baseboards are not PCIe cards, so they are not pooled this way.
Is a pooled GPU slower than one inside the server?
A composed GPU sits behind Liqid’s switch silicon rather than on the motherboard. Liqid rates each switch port at 115 ns, its Abaco brief puts the chassis path at roughly 500 ns, and each host link is PCIe Gen5 x16 at up to 128 GB/s. Liqid supports direct GPU-to-GPU (peer-to-peer) traffic inside the fabric. In our view that overhead matters least for inference, VDI and rendering, where each GPU largely works on its own. For one large training job spread across many tightly coupled GPUs, compare against an NVLink system such as NVIDIA DGX before you decide.
Does Liqid work with VMware, Kubernetes and Slurm?
Liqid lists native compatibility with Kubernetes, Slurm, OpenShift, VMware and Ansible, plus its own UI, CLI and REST API. Its Cisco brief adds that composed GPUs appear to Windows, Linux and VMware/Nutanix as local bare-metal devices. See LIQID Matrix software.
Can Servnet supply Liqid in the UK?
Yes. We can supply and quote Liqid systems for UK organisations, together with the host servers, GPUs, networking and rack power around them, and we check every build against Liqid’s current compatibility list first. Use the quote form on this page or contact us.
Related Servnet guides, tools and hardware
Sources
Every specification on this page comes from Liqid's own product pages and datasheets, listed below with their dates. Where Liqid's web copy and a datasheet differ, we use the datasheet. Figures are confirmed against the current revision when we quote.
- LIQID GPU Pooling Solutions · web page, read 29 Oct 2026
- LIQID Memory Pooling Solutions · web page, read 29 Oct 2026
- EX-5410P SmartStack datasheet (GPU) · dated 10 Dec 2025
- EX-5410C SmartStack datasheet (CXL memory) · dated 10 Dec 2025
- SmartStack MX datasheet (Dell PowerEdge MX) · dated 12 Sep 2024
- EX-5410P PCIe Gen5 expansion chassis datasheet · dated 11 Dec 2025
- EX-5410C CXL 2.0 expansion chassis datasheet · dated 11 Dec 2025
- HX-5160P-1C PCIe Gen5 HBA datasheet · dated 27 Oct 2025
- FX-5016-2 PCIe Gen5 fabric switch datasheet · dated 26 Aug 2026
- Liqid Matrix CDI datasheet · dated 2 Nov 2023
- UltraStack with AMD MI350P datasheet · dated 13 Oct 2026
- LQD4500 IO Accelerator datasheet · dated 14 Apr 2025
- Cisco UCS C-Series with high-power GPUs (tech brief) · Nov 2025
- Liqid Hardware Compatibility List · dated 17 Aug 2026
- What Is Abaco? Liqid technical brief · Aug 2026
- Liqid support information · updated 10 Oct 2024
- About Liqid · web page, read 29 Oct 2026
LIQID, LIQID Matrix, SmartStack and UltraStack are trademarks of Liqid Inc. Servnet is an independent UK IT reseller; this page is our own guide to the range.
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