#ComputeModule

🧿🪬🍄🌈🎮💻🚲🥓🎃💀🏴🛻🇺🇸schizanon
2025-06-14

I don't see the point of when the are almost never fully compatible with any two modules.

There should be a standard so we can upgrade the CPU and Ram regardless of manufacturer or architecture.

2025-06-06

Sipeed NanoCluster is a tiny device for creating clusters of up to 7 Compute Modules

Cluster computing is a method of setting up multiple computers so they can work together like a single system. Some cluster systems are massive machines that take up space in data centers. Others are a lot smaller.

But the SiPeed NanoCluster is one of the most compact cluster boards I’ve ever seen. When fully populated, it’s a 100 x 60 x 60mm (3.94″ x 2.36″ x 2.36″) device that supports up […]

#clusterBoard #computeModule #nanocluster #sipeed #sipeedNanocluster

Read more: liliputing.com/sipeed-nanoclus

2025-05-12

Milk-V Jupiter NX is now available (NVIDIA Jetson NX-like compute module with a SpacemiT K1 RISC-V processor )

The Milk-V Jupiter NX is a computer-on-a-module that looks like a stick of laptop memory. It’s compatible with carrier boards designed for the NVIDIA Jetson NX compute module, but while NVIDIA’s hardware combines an ARM-based processor with NVIDIA graphics and an AI accelerator, the Milk-V module has an 8-core RISC-V processor and a 2 TOPS NPU.

Performance for this little computer will […]

#computeModule #jupiterNx #milkV #milkVJupiterNx #nvidiaJetsonNx #riscV

Read more: liliputing.com/milk-v-jupiter-

Joachim Weber [friendica] 🦖 🦔 🐲trex@anonsys.net
2025-05-07
Den Raspberry Pi gibt es auch als Compute Module für industrielle Anwendungen. Dessen vierte Auflage wird jetzt günstiger – die Fassung mit 8 GByte Hauptspeicher sogar um 10 US-Dollar.#ComputeModule #RaspberyPi
Raspberry Pi Compute Module 4 wird günstiger - LinuxCommunity
2025-04-16

Cerebro clusterboard supports up to four Raspberry Pi, NVIDIA Jetson, or Radxa CM5 compute modules (crowdfunding)

What’s better than a Raspberry Pi Compute Module? If you’re working on projects that support parallel processing, the answer might be two Raspberry Pi Compute Modules… or maybe four of them.

The Cerebro clusterboard is designed to let you attach up to four compute modules to a single baseboard. It supports Raspberry Pi CM4 and CM5 compute modules, but it also supports NVIDIA Jetson NX or […]

#cerebro #clusterBoard #clusterboard #computeModule #crowdfunding #radxaCm5 #raspberryPiCm4 #raspberryPiCm5 #raspberryPiComputeModule #sparklabSolutions

Read more: liliputing.com/cerebro-cluster

2025-02-24

Argon40 is making a Raspberry Pi CM5-powered laptop

Argon40 is a company that sells Raspberry Pi accessories including cases, power supplies, cooling modules, and a kit that lets you transform a single-board computer into a network-attached storage device.

Now Argon40 is working on its first laptop computer. But unsurprisingly it will be a laptop that’s powered by a Raspberry Pi. The company hasn’t released many details yet, but a post on […]

#argon40 #argon40Laptop #cm5 #computeModule #laptop #modularLaptop #raspberryPi5 #raspberryPiCm5 #raspberryPiLaptop

Read more: liliputing.com/argon40-is-maki

2025-01-23

I'm getting in the mood to build a #handheld #linux #cyberdeck again. Thinking something based on a compute module with custom thumb keyboard, 18650 cells for power and a nice 5 inch display.

I want plenty of USB-A, maybe ethernet, etc.

#raspberryPi #OrangePi #ComputeModule #OpenHardware #Hacking

2025-01-02

LattePanda Mu computer module now available with up to Intel Core i3-N3

The LattePanda Mu is a tiny computer-on-a-module that combines and Intel Alder Lake-0N processor with memory, storage, and I/O capabilities onto a package that measures just 60 x 69.6mm (about 2.36″ x 2.74″).

When LattePanda first launched the module in 2024 it was only available with an Intel N100 quad-core processor. Now the company has introduced a higher-performance model with an Intel Core i3-N305 octa-core chip with support for higher CPU frequencies and speedier graphics. The new model is compatible with carrier boards designed for the original though, which makes the new LattePanda Mu N305 a drop-in replacement for the Mu N100.

At this point, there are now three LattePanda Mu Compute Modules available with different memory, storage, and pricing:

Mu N100 (8GB)Mu N100 (16GB)Mu N305ProcessorIntel N100
4 cores, 4 threads
Up to 3.5 GHz
6W TDPIntel Core i3-N305
8 cores, 8 threads
Up to 3.8 GHz
15W TDPGraphicsIntel UHD
24 Execution Units
Up to 750 MHzIntel UHD
32 execution units
Up to 1.25 GHzRAM8GB
LPDDR5-4800
In-band ECC16GB
LPDDR5-4800
In-band ECCStorage64GB
EMMC 5.1OSWindows 10 / 11
Ubuntu 22.04 / 24.04ExpansionUp to 9 s PCIe 3.0 Lanes
Up to 4 x USB 3.2 Gen 2 (10 Gbps)
Expandable to 64 x GPIO
Up to 2 x SATA 3.0 6 Gbps drives
8 x USB 2.0
4 x UART
4 x I2CDisplay1 x eDP 1.4
3 x HDMI 2.0 / DisplayPort 1.4
Up to 3 displays simultaneouslyPrice$139$169$259

Note that those prices are just for the module, which isn’t much use without a carrier board to plug it into. But you can pay more for a complete kit that includes a carrier board, power supply, fan or heat sink, and other optional add-ons like a 7 inch or 11.6 inch display.

Given how cheap a basic mini PC with an Intel N100 processor is these days, most folks looking for an inexpensive computer would probably be better served by going that route instead. But the LattePanda Mu offers a versatile solution for folks that might want to swap out processor modules, design their own carrier boards, or use a compute module as the brains of a server, router, cluster board, handheld, robot, or some other yet-to-be-designed device.

via CNX Software

#alderLakeN #computeModule #devBoard #lattepanda #lattepandaMu #lattepandaMuN305

ArmSoM_Officialarmsom_jackson
2024-12-11
ArmSoM_Officialarmsom_jackson
2024-12-09

| Can it Beat the ?
Discover the power of the ArmSoM CM5 and CM5-IO board combo in this in-depth review!
Watch how CM5 run and Android, benchmark performance, and dive into its GPIO capabilities.

youtu.be/pfsBDO3XehA?feature=s

8Petros [$ rm -rv /capitalism/*]8petros@petroskowo.pl
2024-11-30
So, I learned that #SBC #ComputeModule newest models tend to be "#MachineLearning optimized". If I am going to try to build a personal equivalent of #StarTrek #Tricorder, or #Fallout #PipBoy, (a) is it going to be some sensible use for this feature, (b) I should just ignore it, or (c) is it better to get older version, without it?
2024-11-27

Raspberry Pi CM5 is now available for $45 and up (BCM2712 and up to 16GB of RAM… eventually)

After showing up at a German trade fare earlier this month, the Raspberry Pi Compute Module 5 is now official. It’s a 55 x 40mm (2.17″ x 1.57″) computer-on-a-module with the same 2.4 GHz Broadcom BC2712 ARM Cortex-A76 quad-core processor as the Raspberry Pi 5.

It’s currently available with up to 64GB of eMMC storage and up to 8GB of RAM, but Raspberry Pi also plans to add models with 16GB of memory sometime in 2025. The CM5 also features optional support for WiFi 5 and Bluetooth 5.0.

The Raspberry Pi CM5 is smaller than the Raspberry Pi 5, but it’s also not designed to be a fully standalone computer. Instead it has a pair of 100-pin connectors that allow you to attach the module to a carrier board or other hardware to access the PCIe, USB, LAN, MIPI, and GPIO capabilities. The Raspberry Pi CM5 is available now for $45 and up.

The entry-level model features 2GB of LPDDR4-4267 memory and no storage, but customers can also pay more for 4GB or 8GB of RAM and 16GB or 32GB of storage.

All models features the same BC2712 processor with a VideoCore VII GPU featuring support for OpenGL ES 3.1, Vulkan 1.3, and 4K/60Hz HEVC video decoding.

The module supports up to two 4K/60Hz HDMI displays, two USB 3.2 Gen 1 Type-A (5 Gbps) connections, Gigabit Ethernet, two 4-lane MIPI camera or display connections, and a PCIe 2.0 x1 connection.

Since it’s the same size and has the same 100-pin connectors as the previous-generation Raspberry Pi CM4, the new module is a drop-in, “mostly compatible” replacement for the CM4.. That means any carrier boards or other hardware designed for the CM4 should also work with the CM5. But there are a few small changes: among other things, two 2-lane MIPI interfaces have been removed and two USB 3.0 interfaces have been added, so you might not get perfect functionality with an older carrier board.

Raspberry Pi isn’t pressuring customers to switch to the new module anytime soon if they’re not ready though. The previous-gen Raspberry Pi Compute Module 4 was first released in 2020, but the company says and CM4 and CM4Lite “will remain in production till at least January 2035.

So Raspberry Pi has introduced a new Compute Module 5 IO board that’s both available for purchase and available as a reference design (with design files released in KiCad format) for those looking to build their own boards.

The IO board measures 160 x 90mm (6.3″ x 3.54″) and features:

  • 1 x Raspberry Pi CM5 connector (2 x 100-pin connectors)
  • 1 x 40-pin Raspberry Pi-compatible GPIO connector
  • 1 x M.2 2280 PCIe socket
  • 2 x HDMI 2.0 connectors
  • 2 x USB 3.0 connectors
  • 1 x Gigabit Ethernet jack (with PoE+ support when used with a PoE+ HAT+)
  • 1 x microSD card reader
  • 2 x 4-lane MIPI-DSI/CSI FPC connectors
  • 1 x RTC battery socket
  • 1 x 4-pin fan connector
  • 1 x USB Type-C port (for power)

Other optional accessories including a case, a cooler (passive heatsink), and an antenna kit.  Folks who want to go all-in can also pick up a Development Kit for the Raspberry Pi CM5 that sells for $172 and includes 4GB/32GB compute module, IO board, case, cooler, antenna kit, a couple of cables, and a 27W USB Type-C power supply.

 

#cm5 #computeModule #raspberryPi #raspberryPiCm5 #raspberryPiComputeModule5

ArmSoM_Officialarmsom_jackson
2024-11-27

🤔 Ready to try out something new? Discover the , powered by the
🧐docs.armsom.org/armsom-cm5

2024-11-15

Le Raspberry Pi 5 Compute pourrait proposer 16 Go de RAM, comme les Mac dlvr.it/TGBv6P #RaspberryPi5 #ComputeModule

🧿🪬🍄🌈🎮💻🚲🥓🎃💀🏴🛻🇺🇸schizanon
2024-11-13

@liliputing_ I wish I felt like these based devices would actually be forward compatible with future modules. It doesn't seem like devices really support all the features of and modules from various manufacturers.

Still, RK3588 is a beast, and it's still nice to be able to pop it out and put it in something else if you feel like it.

Update: this isn't even a computeModule is it?

Kevin Karhan :verified:kkarhan@infosec.space
2024-11-10

@geerlingguy since you seem to be on a first-name - basis with #EbenUpton from #RaspberryPi, maybe you want to ask him more about the #CM5...

  • I'm shure they'll do what other #ComputeModule manufacturers did and add more of those Mezzanine Connectors to it to allow for more #PCIe lanes and #USB 3.0 passthrough from the #RP1 #Chipset...

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst