• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer

Microcontroller Tips

Microcontroller engineering resources, new microcontroller products and electronics engineering news

  • Products
    • 8-bit
    • 16-bit
    • 32-bit
    • 64-bit
  • Applications
    • 5G
    • Automotive
    • Connectivity
    • Consumer Electronics
    • EV Engineering
    • Industrial
    • IoT
    • Medical
    • Security
    • Telecommunications
    • Wearables
    • Wireless
  • Learn
    • eBooks / Tech Tips
    • EE Training Days
    • FAQs
    • Learning Center
    • Tech Toolboxes
    • Webinars/Digital Events
  • Resources
    • Design Guide Library
    • LEAP Awards
    • Podcasts
    • White Papers
  • Videos
    • EE Videos & Interviews
    • Teardown Videos
  • EE Forums
    • EDABoard.com
    • Electro-Tech-Online.com
  • Engineering Training Days
  • Advertise
  • Subscribe

PCIe switch moves data directly from memory to GPU

September 26, 2025 By Redding Traiger Leave a Comment

HighPoint Technologies has announced the launch of the Rocket 7638D, a revolutionary PCIe Gen5 switch adapter engineered to solve the most critical bottleneck in modern AI/ML workflows: data starvation. The adapter’s groundbreaking hardware architecture provides a foundational platform for GPU-Direct NVMe storage, enabling NVIDIA GPUs to directly access massive datasets without the performance penalties of CPU bottlenecks. The Rocket 7638D is designed to help AI professionals maximize their return on investment by ensuring their GPUs are always at full utilization, accelerating model training, inference, and data preprocessing to unprecedented speeds.

For decades, the path from storage to compute has been a bottleneck. Data has had to travel from an NVMe drive, through the host CPU, and into the GPU’s memory—a slow, inefficient process that wastes valuable compute cycles. The Rocket 7638D shatters this conventional model. It is the first 48-lane Gen5 PCIe switch adapter engineered with a dedicated x16 Gen5 pathway for both an external GPU and NVMe storage from a single slot. This architecture creates a direct, peer-to-peer data channel that bypasses the host CPU entirely.

The result is a transformative leap in performance. By eliminating latency and reducing CPU overhead, the Rocket 7638D ensures that precious GPU compute cycles are no longer wasted on I/O. HighPoint’s innovative hardware architecture provides a direct data path that, when paired with a compatible third-party software solution, enables a full GPU Direct Storage (GDS) stack. For deep learning, this translates directly to faster epochs, reduced model training time, and a significant boost in inference throughput, providing a competitive edge for any data-intensive application.

This ensures that powerful GPUs and other accelerators are not sitting idle, but are constantly processing data at their maximum potential, dramatically accelerating workflows and increasing overall system efficiency.

Despite its advanced capabilities, the Rocket 7638D has been engineered to streamline installation, deployment, and field service. The hardware is natively supported by all major operating system platforms, eliminating the need for additional software or complex driver installation. This plug-and-play functionality allows AI/ML, HPC, and Scientific Imaging professionals to quickly install the card and begin building a GPU-accelerated storage solution. For peace of mind, HighPoint’s user-friendly MPT utility enables administrators to quickly view firmware information, monitor PCIe bus speed, and check the health of the adapter’s switch chipset in real time.

Revolutionary Hardware Architecture: The Rocket 7638D is the first PCIe Gen5 switch adapter to provide the foundational hardware for a GPU-direct NVMe storage solution.

Dedicated Bandwidth for Maximum GPU Utilization: Our proven PCIe Switching Technology dynamically allocates 48 lanes of Gen5 bandwidth, guaranteeing dedicated x16 pathways to both the GPU and NVMe storage. This eliminates the I/O bottleneck, ensuring your GPU is never starved for data.

Uncompromised CDFP-CopprLink Connectivity: Ensures reliable, high-bandwidth GPU-to-host data transfers, supporting NVIDIA’s most powerful GPUs and external enclosures for flexible deployment.

Flexible Dual-MCIO 8i Ports: The Rocket 7638D dual MCIO 8i ports are capable of supporting up to 16 NVMe drives for a staggering 2 Petabytes of storage. This high-density adapter is purpose-built to handle the largest AI datasets, from petabytes of scientific imaging data to vast training sets for large language models (LLMs).

Broad Platform Compatibility: Works with Intel, AMD, and ARM platforms

Optimized for AI Workflows: Provides a hardware platform for GPU Direct Storage (GDS), reducing CPU overhead, lowering latency, and accelerating data preprocessing.

FRU (Field Replaceable Unit): VPD stored by each adapter enables service providers to easily procure replacements with the correct firmware/hardware combination.

In essence, the Rocket 7638D is the missing link for any NVIDIA-accelerated workflow. It’s innovative hardware architecture fundamentally changes the relationship between compute and storage. By unlocking the full potential of your GPU hardware and enabling the fastest possible data pipelines, the Rocket 7638D ensures your ROI is fully realized.

HighPoint Rocket 7638D external PCIe Gen5 Switch Adapter

You may also like:


  • How does deep learning actually work?

  • What is JESD209-6 and why is it important for edge…

  • What is the math of negative feedback and how is…

  • What are the different key layers of IoT architecture? part…

  • What is the HPC memory wall and how can you…

Filed Under: Data centers, Memory, Products, Switches, Tools Tagged With: highpoint

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Primary Sidebar

Featured Contributions

Can chiplets save the semiconductor supply chain?

Navigating the EU Cyber Resilience Act: a manufacturer’s perspective

The intelligent Edge: powering next-gen Edge AI applications

Engineering harmony: solving the multiprotocol puzzle in IoT device design

What’s slowing down Edge AI? It’s not compute, it’s data movement

More Featured Contributions

EE TECH TOOLBOX

“ee
Tech Toolbox: Connectivity
AI and high-performance computing demand interconnects that can handle massive data throughput without bottlenecks. This Tech Toolbox explores the connector technologies enabling ML systems, from high-speed board-to-board and PCIe interfaces to in-package optical interconnects and twin-axial assemblies.

EE Learning Center

EE Learning Center

EE ENGINEERING TRAINING DAYS

engineering
“bills
“microcontroller
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, tools and strategies for EE professionals.

Footer

Microcontroller Tips

EE World Online Network

  • 5G Technology World
  • EE World Online
  • Engineers Garage
  • Analog IC Tips
  • Battery Power Tips
  • Connector Tips
  • EDA Board Forums
  • Electro Tech Online Forums
  • EV Engineering
  • Power Electronic Tips
  • Sensor Tips
  • Test and Measurement Tips

Microcontroller Tips

  • Subscribe to our newsletter
  • Advertise with us
  • Contact us
  • About us

Copyright © 2026 · WTWH Media LLC and its licensors. All rights reserved.
The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media.

Privacy Policy