Liqid: The Right Place, Right Time for Composable AI Stack

Liqid: The Right Place, Right Time for Composable AI Stack

The News: Liqid brings in tech industry veteran Edgar Masri as CEO, focusing the company’s efforts on flexible and efficient GPU infrastructure for AI applications. Sumit Puri will continue to contribute to Liqid’s success as a member of the Board of Directors and the roles of President and Chief Strategy Officer (CSO). Read the press release here.

Liqid: The Right Place, Right Time for Composable AI Stack

Analyst Take: We have followed Liqid since its early days as a PCIe switch. The company evolved into a composable stack understanding the needs of the HPC market to maximize the use of CPU, GPU, memory, storage, and all the elements needed to drive large computational computing. Today, the company finds itself in a sweet spot where the need and requirements for this type of technology are beyond the national labs and major research centers and becoming part of large enterprises. As has been quoted many times, luck follows preparedness, and Liqid is in this space.

What is Liqid? In shorthand, it is a PCIe switch-based architecture with direct-connects resources to servers that can compose multiple GPUs, FPGAs, and flash modules to single compute node. The company ships this using industry-standard storage, servers, and GPUs, making this solution more flexible than proprietary modular chassis.

The Liqid Matrix software composes granular pools of resources into bare-metal systems within a few seconds. These systems are custom configured for the workloads they will support. Matrix, which runs on a low-cost server or embedded into a switch connected to the fabric, orchestrates this process at the device level through a GUI, CLI, or a set of RESTful APIs. In addition, this software manages scaling of resource pools, multitenancy, remote configuration, migration, etc. The Matrix software extends the capabilities, composing across multiple fabric types, including PCIe Gen 3, PCIe Gen 4, Ethernet, and InfiniBand (IB). Most recently, Liqid announced and is shipping the UltraStack, quoted as “up to 20-way systems” using NVIDIA L40S GPU and Dell Technology PowerEdge servers.

Why does this matter? Liqid’s systems can dynamically reconfigure to meet the demands of jobs in real time. When the resources (i.e., GPUs) are no longer needed, Liqid can move them back into the pool and make them available for other workloads. There is also elimination of overprovisioning and less manual intervention to make changes in the environment to meet the needs of the data scientists.

In a timely fashion, Liqid brings a considerable powerhouse of a system into the traditional data center, with configurability that to a degree is like dynamic cloud operations.

Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.

Other Insights from The Futurum Group:

Dell AI PoC for Transportation & Logistics

Intel Gaudi Performance – Beats NVIDIA?

Quantum in Context: A Qubit Primer

Author Information

Camberley Bates

Now retired, Camberley brought over 25 years of executive experience leading sales and marketing teams at Fortune 500 firms. Before joining The Futurum Group, she led the Evaluator Group, an information technology analyst firm as Managing Director.

Her career spanned all elements of sales and marketing including a 360-degree view of addressing challenges and delivering solutions was achieved from crossing the boundary of sales and channel engagement with large enterprise vendors and her own 100-person IT services firm.

Camberley provided Global 250 startups with go-to-market strategies, creating a new market category “MAID” as Vice President of Marketing at COPAN and led a worldwide marketing team including channels as a VP at VERITAS. At GE Access, a $2B distribution company, she served as VP of a new division and succeeded in growing the company from $14 to $500 million and built a successful 100-person IT services firm. Camberley began her career at IBM in sales and management.

She holds a Bachelor of Science in International Business from California State University – Long Beach and executive certificates from Wellesley and Wharton School of Business.

Related Insights
Embeddable Contact
April 20, 2026

Twilio Flex as an Embeddable Contact Center: Will Platform Integration Redefine CX Sourcing for the Enterprise?

Twilio Flex's embeddable contact center capability intensifies CCaaS competition, offering enterprises deeper integration and AI-driven customization while challenging legacy providers....
Unlock Faster AI
April 20, 2026

Can Eridu’s AI Networking Break the Data Center Bottleneck—or Just Move It?

With 78% of organizations boosting AI budgets, Eridu emerges from stealth with $200M+ in funding, claiming to break the data center bottleneck—but whether new architectures solve the problem or just...
Sovereign Cloud
April 20, 2026

Can NetApp and Google Cloud Redefine Distributed Cloud Data Infrastructure for the AI Era?

NetApp and Google Cloud partnered to deliver unified sovereign cloud infrastructure for government agencies and regulated enterprises, integrating NetApp's data platform into Google Distributed Cloud for compliant, distributed AI solutions....
Cadence and NVIDIA
April 20, 2026

Cadence and NVIDIA Double Down on AI-Driven Engineering—Accelerated Computing Bridges Simulation and Verification

Cadence and NVIDIA have announced an expanded partnership embedding agentic AI and GPU acceleration into simulation and verification platforms, reshaping engineering productivity across RTL design, analog, and 3D IC workflows....
Hybrid Data
April 20, 2026

Can Cloudera’s Stability Bet Win the Hybrid Data War?

Cloudera's platform enhancements enable hybrid data environments with stability, elastic scaling, and Apache Iceberg interoperability, positioning the company to serve enterprises balancing cloud and on-premises infrastructure....
Meta’s MTIA Partnership With Broadcom Solidifies the Future of XPUs in Inference Optimization
April 20, 2026

Meta’s MTIA Partnership With Broadcom Solidifies the Future of XPUs in Inference Optimization

Brendan Burke, Research Director at Futurum, examines how the Meta Broadcom MTIA partnership expands custom AI silicon and tests whether multi-gigawatt infrastructure can scale efficiently....

Book a Demo

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.