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LattePanda is a series of single-board computers (SBCs) that are designed to be powerful, yet compact and portable. They come in a variety of models, with different specifications, but all of them feature a powerful Intel processor, plenty of memory and storage, and a range of connectivity options, and an Arduino coprocessor. The LattePanda is often referred to as a "swiss army knife" of SBCs because it can be used for a wide range of applications, from basic computing tasks to more advanced projects like robotics, machine learning, and more. It is a popular choice among DIY enthusiasts and makers, and is known for its versatility and performance.
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This article introduces a method using Intel Optimum-Intel to optimize its performance. The author utilized this method on a LattePanda Sigma, an x86 single board computer/server, leveraging the integrated GPU to accelerate LLaMA 3.1's inference speed, with impressive results.
The LattePanda Sigma is a powerful x86 single-board computer (SBC) with an Intel Core i5-1340P processor, Intel Iris Xe graphics, and 16 GB of RAM. It supports 4K multi-display and offers diverse connectivity options for a variety of applications.
In this video, we take a look at the upgraded LattePanda MU N305 micro x86 compute module. It runs Windows or Linux. With an upgraded i3 N305 CPU with eight cores and 16 GB of RAM, this tiny SBC is a real Raspberry Pi killer. Plus, it supports a dedicated GPU, so we definitely need to see how it handles gaming with an RTX 4060 connected!
Today, we’re diving into the LattePanda world with the “Mu” model, which comes with an Intel Celeron N100 four-core, four-thread processor — and it’s tiny! The best part? This kit has a motherboard that accepts a graphics card.
所订产品一般在 3个工作日 内送达新加坡,具体时间取决于收货地点。
订单金额满 S$60免运费发送至新加坡。 所有少于 S$60的订单将收取S$24的运费。
UPS、FedEx 或 DHL 运费预付: CPT(交货时支付关税、海关费用和当地税款)
针对合格机构和企业提供的信用帐户
电汇预付
![]()
![]()
![]()
![]()


更多来自全授权合作伙伴的产品
下单后,从合作伙伴发货平均需要时间 1-3 天,也可能产生额外运费。可能另外收取运费。 实际发货时间请留意产品详情页、购物车和结账页面上的说明。
国际贸易结算方式:CPT(交货时支付关税、海关费用和适用 VAT/应付税金)
有关详情,请访问帮助和支持
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