MAZDA COMPUTING: SERVER GPU HPC SPECIALISTS
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Liqid EX-5410P Composable
​PCIe Infrastructure

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Disaggregate your GPUs. Scale your compute.
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Traditional GPU servers lock valuable resources into fixed configurations—often leaving compute underutilized across your environment.
The Liqid EX-5410P, available through Mazda Computing, enables a composable infrastructure model that pools GPUs, storage, and accelerators into a shared resource that can be dynamically allocated to any connected system.

What is the EX-5410P?

The EX-5410P is a 4U PCIe Gen5 expansion chassis that allows up to 10 high-performance GPUs or accelerators to be shared across multiple servers using a high-speed PCIe fabric.
Instead of assigning GPUs to a single server, resources can be:
  • Allocated on demand
  • Reassigned in real time
  • Scaled based on workload requirements 
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Key Benefits
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Maximize GPU utilization
Eliminate stranded compute by dynamically allocating GPUs where they are needed most.
Increase infrastructure flexibility
Support multiple workloads across AI, HPC, and research environments without fixed hardware limitations.
Reduce overprovisioning
Avoid purchasing excess GPU capacity for peak demand—allocate resources as workloads shift.
Enable composable infrastructure
Create a shared pool of GPUs, NVMe, and accelerators that can be orchestrated across systems.

Technical Overview​

How it works
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  • Form factor: 4U expansion chassis
  • Capacity: Up to 10x double-wide PCIe Gen5 devices
  • Device support: GPUs, NVMe, FPGAs, DPUs (up to 600W per device)
  • Fabric connectivity: 4x PCIe Gen5 x16 ports
  • Bandwidth: Up to 512 GB/s total throughput
  • Latency: ~115 nanoseconds
  • Switching: Dual Broadcom Atlas-2 PCIe switches
  • Power: 4x 3000W Titanium power supplies
  • Cooling: Hot-swappable high-efficiency fans
Using Liqid Matrix software, the EX-5410P enables:
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  • Dynamic composition of GPU resources
  • Assignment of accelerators to physical or virtual servers
  • Real-time reconfiguration based on workload demand
 
  • This allows organizations to treat GPUs and accelerators as shared infrastructure, rather than fixed components tied to a single system.
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Copyright © 2025 Mazda Computing.  All Rights Reserved.
  • AI
    • NVIDIA Systems >
      • Vera Rubin
      • DGX Spark
      • DGX Station
    • NVIDIA Solutions >
      • DEEP LEARNING & AI
      • HPC
      • Cloud & DataCenter
      • Autonomous Machines
    • NVIDIA GPUs >
      • ​PNY NVIDIA Professional GPUs
      • ​PNY NVIDIA Data Center GPUs
  • SERVERS
    • Intel Xeon
    • AMD EPYC
    • Eviden Servers
    • Penguin Computing
    • Supermicro
    • Gov Servers
  • SOLUTIONS
    • Liqid
    • Network, Security and Electrical Solutions
    • Graid
    • OEM Solutions
    • Services
  • Company
    • Fed >
      • CDW-G ICPT
      • Sandia JIT Contract
      • NASA BPA
      • Capabilities
    • About
    • Careers
    • Contact
    • Terms and Conditions