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LIQID Delivers Superior Tokenomics

Tokens Per Second • Tokens Per Dollar • Tokens Per Watt

Dynamically pool, scale, and allocate CXL memory and GPUs in real time to ensure optimal utilization and maximum performance

Unlimited Scale for Maximum Tokens

Seamlessly scale-up CXL memory and GPUs to achieve highest levels of performance.
10x
Tokens
per Second

Reduce Infrastructure for Improved Economics

Decrease infrastructure spend by aligning CXL memory and GPUs to workload requirements.
5x
Tokens
per Dollar

Right-Size Infrastructure in Real Time

Dynamically allocate CXL Memory and GPUs in real time to optimize resource utilization.
2x
Tokens
per Watt
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LIQID CXL Memory Matches DRAM and Runs 7x Faster than NVMe

Run massive KV Cache, and Graph, Vector and in-memory databases inside Liqid CXL Memory pools to tear down the memory wall and feed your data hungry GPUs.

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

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

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

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

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

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Graphic showing the benefits of GPU utilization with Liqid

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

Leverage Multi-Vendor GPUs

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

Industry Leaders Echo
LIQID's Vision

NVIDIA Logo
"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

CXL Memory

When GPUs Starve, AI Fails: How Composable CXL Memory Restores Balance for Enterprise AI

Enterprise AI systems are hitting a hidden bottleneck: memory. Despite massive GPU investments, underfed accelerators stall due to limited DRAM capacity, bandwidth, and proximity. This article explains why traditional memory architectures fail modern AI workloads and how CXL-based composable memory restores balance—unlocking higher GPU utilization, faster inference, and dramatically improved ROI.

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Artificial Intelligence

AI Models Are Outpacing Server Memory: Why Composable CXL Memory Is the Only Path to Enterprise-Scale AI

AI adoption is accelerating, but server memory is quickly becoming the biggest bottleneck. This post explains why traditional DRAM architectures are failing enterprise AI—and how composable CXL memory enables scalable, high‑performance AI without rewriting applications or overprovisioning servers.

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CXL Memory

Why CXL Will Change the Game for In-Memory Databases

CXL redefines in-memory databases—eliminating sharding, scaling memory to 100TB+, and uniting AI and analytics for faster, simpler, real-time performance.

Read More

Unlock Your AI Potential—
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LIQID’s innovative software-defined composable infrastructure platform enables users to manage, scale out, and configure physical bare-metal server systems in seconds.

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