Is Your AI Ready for Production?

Unlock your GPU bottleneck for less with LIQID — at the edge, in your data center, or private cloud.

LIQID Matrix Software

The AI Infrastructure platform for dynamically pooling and sharing of AI resources for higher performance with less total cost, less power and less hardware

Read Whitepaper

LIQID Powers Meta's Vision for the Metaverse

If we can power Meta’s high-fidelity VR, imagine what we can do for you

Can You Increase AI Results and Cut Costs with High-Density GPUs? Yes.

Resent Graph comparing performance and efficiency between A100 PCIe GPUs with Liqid and A100 SXM without Liqid.

More GPU Horsepower
Fewer Servers to Power More AI Results for Less

Scale Up to 30 GPUs per server to meet your AI workload demands while lowering your power and increasing your AI utilization

Read Whitepaper

Drive Down AI Costs with Smarter GPU Utilization

Achieve up to 100% GPU Utilization for Maximum Tokens per Watt and Dollar

Read the Solution Brief

Graphic showing the benefits of GPU utilization with Liqid

Multiple vendors of GPUs that can be utilized by Liqid Software

Leverage Multi-Vendor GPUs

Your AI, your choice. Harness the power of silicon diversity for unmatched flexibility and agility

Imagine Building AI Infrastructure When You Need It, On-Demand. Done.

The Path to a Self-driving Fabric Starts Here

The Path to a Self-driving Fabric Starts Here

Build your own private AI Inference cloud with Liqid Matrix Software, Kubernetes and Nvidia NIM automation.

Read the Whitepaper

A graphic depicting how Liqid Matrix Software intergrates with (NVIDIA) NIM™ inference microservices and Kubernetes clusters

Liqid Command Center UI

Accelerate AI with On-Demand GPU Provisioning

Choose your own infrastructure adventure. Leverage our intuitive UI, CLI, and Northbound APIs for Kubernetes, VMware and SLURM.

Industry Leaders Echo
LIQID's Vision

"When you’re able to disaggregate the converged server, when you can put accelerators anywhere in a datacenter and then can compose and reconfigure that datacenter for this specific workload – that’s a revolution.”

Jensen Huang
Founder and CEO, NVIDIA

Explore The Latest Insights in
‍AI Technology

Explore The Latest Insights in AI Technology

Artificial Intelligence

Optimizing AI Model Performance Through Dynamic GPU Allocation

Explore the innovative concept of composable GPUs and how they dynamically allocate resources to optimize AI model performance.

Artificial Intelligence

With Great Power Comes Great Responsibility

Power limitations and requirements of running AI workloads.

The Time to Capitalize on AI Inference is Now

As the AI market matures from training to inference workloads, the time for partners to capitalize on Inference is now.

Unlock Your AI Potential—
Book a Demo