Features

  • Thunderbolt 3 interface with 40Gbps of throughput in both channels
  • Supports one PCIe (3.0 x 16) bandwidth up to 2750 MB/s
  • Supports USB 3.1 Gen 2 (10Gbps)
  • Built-in movable 8×8 cm speed-adjustable fan cooler
  • Internal Ultra-quiet 300W power supply

Make Your Thunderbolt 3 Computer Great Strength!

The Netstor HL23T-PRO eGFX box was created to be installed with most full-length, full-height, double-width graphics card to give your Thunderbolt 3 host computer the almighty power to work your digital content workflows, assist with creating your products in the production and entertainment fields including video editing, Augmented Reality (AR) / Virtual Reality (VR) content creation and even gaming. Feel the accelerated power for all your applications including GPU-accelerated analytics, rendering, and virtualization for any creative power-user or professional.

Thunderbolt 3 (USB-C) 40Gbps Interface

Designed to feature Thunderbolt™ 3 interface (40Gb/s) capable of providing PCIe bandwidth up to 2750 MB/s, 2x times Thunderbolt 2, for diverse professional PCIe cards such as video transcoding and video capture that primarily require higher throughput of data transfer rate to the host computer.

Cooling Where your Card Needs It Most

Built with one positional, movable 8×8 cm speed-adjustable fan cooler at enclosure’s side, at any time users can shift  the cooler’s position to have the best airflow ventilation to the graphics card based on each card’s length design and card’s fan/blower location.

Mac & Windows certified. Works with Thunderbolt 3 Computers

The Thunderbolt™ 3 HL23T-PRO eGPU enclosure has passed Apple and Intel’s strict certification test process and is Mac and Windows certified, which supports and works with all series of Thunderbolt 3 computer.

Contains a Thunderbolt 3 (40Gb/s) Cable

The included 0.5-meter Thunderbolt™ 3, 40Gbps, cable allows users to connect the eGFX box with their Thunderbolt 3 host computer for all kinds of the professional eGPU applications and digital workflows.

400W Industrial-Grade Power Supply

The built-in 400W industrial grade PSU provides more sufficient power in support of more varieties of graphics cards, and definitely suits every end-users’ needs in the digital content workflow applications. The external GPU enclosure includes two 6+2 pin auxiliary PCI-E power connectors that support graphics cards requiring electric power up to 400 watts.

Perfect Graphics Cards Compatibility

The Nvidia and AMD GPU cards that are compatible and work greatly with Netstor HL23T-PRO eGFX box include Nvidia GeForce 10 / 900 series, Quadro P6000 / M6000 series and AMD Radeon RX, R9 series, FirePro WX9100 / 7100 series.

HL23T Thunderbolt™ 3 to Single PCIe Expansion Enclosure Product Description

Host Interface Thunderbolt™3 (Single Port USB-C )
Data Transfer Rate 40Gbps
No. of PCIe Slots One PCIe 3.0 x16 (PCIe 3.0 x4 Electrical / Thunderbolt Spec)
Power Delivery Up to 15W
LED Display for Enclosure Power On
Material Aluminum housing with solid metal structure
Power Supply Single 400W PSU (High-Efficiency & Low Noise) Input: 90-230 VAC/50-60 HZ With two PCIe 6+2 pin & one 4 Pin auxiliary power cable (Equivalent to 600W recommended system power from AMD)
Dimension 371(D) x 110(W) x 200(H) mm 14.6 (D) x 4.3 (W) x 7.87 (H) inch
Cooling One Hot-Swappable 80 x80 x20 mm Cooling Fan
System Support MacBook Pro, iMac, iMac Pro with a Thunderbolt 3 port, Windows PC with a Thunderbolt 3 port
O.S. Support Mac OS X 10.12.3 above Windows 10
PCIe card Size Available Full length (320mm), full height (120mm) , double-width PCIe card
Storage Temperature 0 to 40°C (32 to 104°F)
Operating Temperature -10 to 50°C (-14 to 122°F)
Relative Humidity 20 to 80% (non-condensing)
Package Content Enclosure x 1 Thunderbolt3-40Gbps cable x 1 (0.5 meter) Power Cord x 1

Perfect Graphics Cards Compatibility

The Nvidia and AMD GPU cards that are compatible and work greatly with Netstor HL23T-PRO eGFX box include Nvidia GeForce 10 / 900 series, Quadro P6000 / M6000 series and AMD Radeon RX, R9 series, FirePro WX9100 / 7100 series.

Download

Automatic eGPU Configuration Guide (For macOS High Sierra Thunderbolt Mac computers with Nvidia GPU card)

* For macOS High Sierra Thunderbolt Mac computers with Nvidia GPU card

* The backup of all your data is recommended before eGPU configuration.
Note before proceeding to the eGPU setting:
(A) The HL23T-PRO / NA211TB3 with GPU card installed should NOT be connected to Mac at the beginning.
(B) macOS’s SIP (System Integrity Protection) must be disabled first.
(C) The Mac computer needs to be connected to Internet via Ethernet port or Wi-Fi because program will download GPU card driver automatically during the configuration.

Steps:

  1. Make sure the operating system of the Mac computer that is to be used with the eGPU is macOS High Sierra 10.13.x ~ 10.13.6 (build ver. 17G65).
  2. Open Terminal. Execute the following command:
    bash <(curl -s https://raw.githubusercontent.com/learex/macOS-eGPU/master/macOS-eGPU.sh)
  3. At this time, the Mac computer will link to the Internet automatically. Within the Terminal pane, when the text appears to “preparing secure eGPU connection”, please connect the Thunderbolt eGPU to the Mac computer.
  4. Within the Terminal pane, when the text appears to “waiting 20 seconds for user to disconnect eGPU”, please disconnect the Thunderbolt eGPU with the Mac computer.
  5. After the eGPU enabling process is completed, shut down Mac computer, and then connect the Thunderbolt eGPU to Mac again. Power on Mac computer; as it boots into macOS operating system, the eGPU will work with computer.

CUDA Driver Installation:

  • If you will need to use CUDA computing with eGPU, visit: https://www.nvidia.com/object/mac-driver-archive.html, download and install the latest Mac CUDA driver. After CUDA driver installation, restart Mac, and then the CUDA driver and its computing will be enabled.
  • If you don’t need to use CUDA computing, just restart Mac directly after the steps are completed, and then the eGPU will work properly with Mac.

* Data source: https://github.com/learex/macOS-eGPU/tree/master#macos-egpush