惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Google DeepMind News
Google DeepMind News
U
Unit 42
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
J
Java Code Geeks
D
DataBreaches.Net
B
Blog RSS Feed
D
Docker
L
LangChain Blog
aimingoo的专栏
aimingoo的专栏
F
Fortinet All Blogs
Y
Y Combinator Blog
A
About on SuperTechFans
V
V2EX
罗磊的独立博客
WordPress大学
WordPress大学
宝玉的分享
宝玉的分享
MongoDB | Blog
MongoDB | Blog
博客园 - 【当耐特】
Last Week in AI
Last Week in AI
S
SegmentFault 最新的问题
月光博客
月光博客
Vercel News
Vercel News
H
Hackread – Cybersecurity News, Data Breaches, AI and More
阮一峰的网络日志
阮一峰的网络日志

KittenLabs

Casiomania Marantz UD5007 power supply replacement AnotterKiosk GPD Pocket 4 Speaker DSP IP-over-Toslink FX3 LVDS Frame grabber Extreme Pi Boot Optimization WiFi auth with OsmoHLR/SIM cards Windows 11 tweaks & usability improvements Using custom domains as a Fediverse redirect Router overclocking Real gaming router Manage RDP certificates on Windows using SSH 20 port USB-C charger Reviving a dead Gigabyte MJ11-EC1 mainboard NVMe BIOS Option ROM 2.5GbE PCIe NIC mod board Blinkekatze ThinkPad T41/T43 USB-C HomeSwitch 4 DC UPS (Lithium) OLED nametag Thermal camera macro Blåmba LPT printer emulator PC104 ISA adapter Palm IIIc USB-C OtterCast Gigaset DECT debug adapter M.2 NVMe -> miniPCIe
25GBit/s on macOS & iOS
By Manawyrm, tSYS and Ronja | Friday, May 17, 2024 · 2024-05-17 · via KittenLabs

Extreme network speeds on macOS/iOS devices using ConnectX network cards via USB4/Thunderbolt

macOS speed test

iOS speed test

Background info

Modern versions of macOS and iOS (starting with macOS Ventura/13) ship with NVIDIA/Mellanox ConnectX network drivers. AppleEthernetMLX5 is included by default and can be used with any NVIDIA/Mellanox ConnectX-4, 5 and 6 network card:

ConnectX-4 cards provide dual port 25 GBit/s connectivity (SFP28) and newer cards can go up to 200 GBit/s.
The maximum throughput is limited by the Thunderbolt/USB4 interface (to around 40 Gbit/s).

Photo of a Mac screen, showing Speedtest.net app with 20467 MBit/s download, 5670 MBit/s upload

We were even successful in connecting a ConnectX-4Lx NIC to an iPad Pro (M1):

iPad, connected via Thunderbolt to a ConnectX-4Lx network card, with SFP28 DAC, showing 10322/9359 MBit/s on the Speedtest.net app

Hardware setup

Thunderbolt/USB4 NVMe storage enclosures can be (ab)used as an external PCIe enclosure using a M.2 to PCIE x4 adapter. These enclosures are typically used to connect fast NVMe SSDs to a computer, but the used Thunderbolt 3 controller ICs (like Intels JHL7440) will just accept Thunderbolt and turn it into 4 PCIe lanes. These lanes can then be connected to any PCIe device.

Our tests were done using a TBU401 enclosure (~100$):
ConnectX-6 network card in a PCIe->M.2 adapter in a TBU401 Thunderbolt enclosure TBU401 internal PCB, JHL7440 IC, RTL9210B IC, ASM1480 IC, many other random storage and power ICs

Several vendors (on AliExpress, etc.) also offer little PCIe docks, like this “TH3P4 Lite GPU Dock”:
External GPU adapter with ConnectX-6 NIC

Full eGPU-enclosures (typically used for graphics cards) will also work well (but are large and very expensive).

Power supply

PCIe slots provide 2 voltage rails: 12V and 3.3V.
USB-C (without PD) provides 5V.

NVMe enclosures will convert the 5V supply down to 3.3V, but the 12V supply is still missing (and required for ConnectX cards).

Maximum available power on a USB-C port: 15W (5V/3A).

  • ConnectX-4 card: ~11W
  • Thunderbolt chipset: ~3W
  • Conversion losses (5V->12V step-up): ~2W

The total power of this setup will exceed the maximum available power on a USB-C port.

Powering such a setup without using an external power brick won’t be easily possible.
We used an external 12V/2.5A power supply for our tests.

GPUs on a Mac?

This same setup could also be used to connect an external GPU to a computer.
This will work well on Intel/x86 Windows and Linux machines.

There is no hope of GPU support on (current-gen) Apple Silicon, though. Apart from the fact that no drivers are available on macOS, even projects like Asahi Linux run into a hardware limitation with the way memory mapping works on M-series chips.

This is the same limitation also present on other Arm platforms like the Raspberry Pi. See PCIe problems on embedded systems.