July 30th, 2024

Raspberry Pi gets a serious competitor as Particle unveils its 5G-capable SBC

Particle has launched the Tachyon, a $149 single-board computer featuring 5G, AI capabilities, and advanced specs, aiming to democratize technology for engineers and innovators, available on Kickstarter.

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Raspberry Pi gets a serious competitor as Particle unveils its 5G-capable SBC

Particle has introduced the Tachyon, a new single-board computer (SBC) that competes directly with the Raspberry Pi by offering advanced features such as 5G connectivity and AI capabilities. Priced at $149, the Tachyon is designed to be accessible for engineers and innovators, aiming to democratize cutting-edge technology. The board is compact, roughly the size of a credit card, and includes an octa-core Qualcomm Kryo CPU, 4GB of RAM, and 64GB of flash storage. It also features an Adreno 643 GPU, 12 TOPS of AI processing power, and over 20 camera sensors, along with a USB-C 3.1 PD port and a PCIe Gen 3 slot.

Zach Supalla, CEO of Particle, emphasized the importance of making advanced technology available to a broader audience, stating that current access to 5G and AI accelerators is limited to a few large companies. The Tachyon aims to inspire innovation by providing essential tools for developing connected devices. Interested individuals can support the project through Kickstarter, where Particle has a history of successful campaigns. The Tachyon's introduction highlights the growing competition in the SBC market, showcasing the potential for new functionalities that go beyond what traditional boards like the Raspberry Pi offer.

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Link Icon 9 comments
By @beryilma - 5 months
What makes Raspberry Pis competitive is not necessarily hardware; it is software. I guarantee this is not going to be a serious competitor to Raspberry Pi, at least not for the intended audience of Raspberry Pis.
By @mouse_ - 5 months
Snapdragon SoC is cool. I would buy it if it weren't an "AI chip". I'm not paying extra for that trash.
By @xet7 - 5 months
Running modern web browser requires 16 GB RAM. With 8 GB RAM, browser crashes.

If running some AI model, like llama3.1, it requires NVidia/AMD GPU and more than 16 GB RAM. I have run it at i7 laptop, that has 32 GB RAM and NVidia GPU, using Ubuntu 24.04, with commands:

curl -fsSL https://ollama.com/install.sh | sh

ollama run llama3.1

Without supported GPU, it will run in slower CPU mode.

Running at M1 Air 16 GB RAM, at Asahi Ubuntu arm64, it runs at CPU mode. I have not yet tried at macOS.

There is some SBC that has 16 GB or more RAM, like OrangePi, but I have not yet tried can they run llama3.1 .

What kind of AI can run with 4 GB RAM ?

By @SushiHippie - 5 months
> Such is the case with Particle's Tachyon, the first 5G-powered, AI-enabled SBC that the company claims is suitable "for everyone and everything."

> The Tachyon also sports an octa-core Qualcomm Kryo CPU, 4GB RAM, and 64GB of built-in flash storage.

They want to market it for "AI" use cases, but only include 4GB of RAM?

By @sharpshadow - 5 months
By @creeble - 5 months
By @tocs3 - 5 months
" Finally, it has over 20 different camera sensors,"

Wow.

By @nubinetwork - 5 months
4gb of memory and no wired Ethernet? I think I'll pass.