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#computemodule

2 posts2 participants0 posts today

Lilbits: Perplexity’s AI-based web browser, an open source Flipper Zero clone, and another Ryzen AI Max+ 395 mini PC

AI company Perplexity has officially entered the browser business. While the Comet web browser is based on Google’s open source Chromium browser, it’s built to let AI do a lot of the work for you. Instead of entering a URL or typing a search query, you can tell the browser what you’re looking for by text or voice and it will try to find it for you. It can also summarize the content of […]

#ai #android #aoostar #aoostarNex395 #clockworkpiUconsole #comet #computeModule #flipperZero #flopperZiro #google #hackingTool #lilbits #miniPc #notificationOrganizer #notifications #openHardware #radxaCm5 #strixHalo #webBrowsers

Read more: liliputing.com/lilbits-perplex

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

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-

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

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

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

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 […]

#cm5 #computeModule #raspberryPi #raspberryPiCm5 #raspberryPiComputeModule5

Read more: liliputing.com/raspberry-pi-cm