LattePanda Announces ‘Hackable Single Board Server’ Sigma
LattePanda Sigmabegan right now by LattePanda team Beginning at $579, the Raptor Lake-based CPU amplifies the ability of LattePanda 3 Delta with 16GB LPDDR5 and Intel Iris Xe GPU. All this makes it a way more highly effective machine than the LattePanda 3 Delta and Raspberry Pi 4.
The LattePanda 3 Delta was already a powerful motherboard, rather more highly effective than a Raspberry Pi 4. Nevertheless, Sigma’s specs take the Delta out of the water for positive.
Selecting the thirteenth Gen Intel Raptor Lake Core i5-1340P (12 cores, 16 threads) is a big improve from the quad-core Intel Celeron N5105 discovered within the LattePanda 3 Delta. The GPU additionally sees an improve in comparison with Delta’s moderately pedestrian Intel UHD GPU, which now runs between 450 and 800 MHz, now supporting 80 threads and an Intel Iris Xe GPU as much as 1.45 GHz.
Sigma’s RAM improve can be welcome. 8GB of LPDDR4 RAM offered by Delta is adequate for many duties, whereas 16GB of LPDDR5 operating at 6400MHz means we are able to get an enormous efficiency enhance for any mission.
What the 2 share, nonetheless, is a built-in Arduino Leonardo appropriate coprocessor, this time positioned alongside the brief facet of the board. In our LattePanda 3 Delta evaluate, we liked the straightforward GPIO entry and simply created initiatives utilizing the Arduino IDE and Python firmware. Sigma appears to share the identical pin association and whereas not a real Arduino Uno pinout it’s useful.
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| Processor | Intel Core i5-1340P (12 Cores, 16 Threads. 12MB Cache. 4.6 GHz P-Core, 3.4 GHz E-Core |
| information retailer | 16GB Twin Channel LPDDR5 6400MHz |
| GPU | Intel Iris Xe Graphics, 80 Execution Models, as much as 1.45 GHZ |
| to retailer | M.2 NVMe / SATA SSD |
| networking | 2 x 2.5GBe (Intel i225-V) |
| ports | 2 x USB 2.0, 2 x USB 3.2, 2 x Thunderbolt 4 / USB C |
| view | 1 x HDMI 2.1 as much as 4096 x2304 @ 60 Hz; |
| Line 7 – Cell 0 | DisplayPort over USB C as much as 7680 x 4320 @ 60Hz |
| Line 8 – Cell 0 | eDP1.4b as much as 4096 x 2304 @120Hz |
| Enlargement slots | M.2 M Key: PCle 3.0×4, M.2 M Key: PCle 4.0×4 |
| Line 10 – Cell 0 | M.2 B Change: SATA/PCle 3.0 |
| Line 11 – Cell 0 | USB Headers |
| Coprocessor | arduino leonardo |
| OS | Home windows 11/10, Ubuntu 22.04 |
| dimensions | 146x102mm |
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LattePanda Sigma is obtainable as a “Highly effective, Hackable Single Card Server”, however that does not restrict it to only sitting in an workplace. The onboard Arduino Leonardo gives a GPIO interface that may be accessed through a USB-to-serial interface. Constructing a strong machine studying/pc imaginative and prescient mission can be easy with some Arduino and Python code and a USB digicam. Certain, the Sigma is bigger than a Raspberry Pi 4, however it may be simply built-in right into a robotic mission. The CPU/GPU mixture is highly effective and might simply be used as a low-power desktop machine with 4 4K shows operating concurrently. To maintain it cool, we see a mixed heatsink and fan meeting that dominates the highest of the motherboard and takes up extra room than the LattePanda 3 Delta’s cooling resolution.
Twin Thunderbolt 4 ports are a tempting proposition. We profit from doubtlessly excessive information switch charges and doubtlessly exterior GPUs. Gaming is feasible on the Intel Iris Xe GPU, we ran a reliable Name of Obligation: Fashionable Warfare session on LattePanda 3 Delta, so it must be a breeze for Sigma.
LattePanda Sigma now obtainable directly from DFRobotbeginning at $579 for a base unit, $648 with a 500GB SSD and Wi-Fi 6E module.
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