NVIDIAのおすすめ人気ランキング

。Description。The Leopard Imaging Camera is a 136° FOV(field of view)wide angle camera module that is great for machine vision applications， and designed specifically to be compatible with the NVIDIA Jetson Nano Developer Kit. This camera incorporates a Sony IMX219 8.08MP color sensor， a fixed focus(M8)lens， and utilizes CSI-2 MIPI 2-lane data output interface.。This is the same camera that we include in the SparkFun Jetbot v2.1 Kit.。Note：SparkFun has not established the compatibility of this camera with Raspberry Pi. We are currently working with the manufacturer， but due to firmware restrictions Leopard cameras do not work with any Raspberry Pi's at this time.。Features。Field of view(FOV)：136°。Module size：150mm(L)x 25mm(W)。Sensor type：Sony IMX219 8.08MP color sensor。Active pixels：3280(H)x 2464(V)。Image size：Diagonal 4.60mm(Type 1/4.0)。F/No：2.0(H136)。Focal length：1.58mm(H136)。TV distortion：<-15%(H136)。Focusing range：30cm - Infinity。Lens type：Fixed Focus(M8 lens)。Pixel size：1.12um×1.12um。Data output interface：CSI-2 MIPI 2-lane。IR Cutter Filter：Yes

。Description。The SparkFun Qwiic pHAT V2.0 for Raspberry Pi provides you with the quickest and easiest way to enter into SparkFun's Qwiic ecosystem while still using that Raspberry Pi that you've come to know and love. The Qwiic pHAT connects the I2C bus(GND， 3.3V， SDA， and SCL)on your Raspberry Pi to an array of Qwiic connectors on the HAT. Since the Qwiic system allows for daisy-chaining boards with different addresses， you can stack as many sensors as you'd like to create a tower of sensing power!。The Qwiic pHAT V2.0 has four Qwiic connect ports(two on its side and two vertical)， all on the same I2C bus. We've also made sure to add a simple 5V screw terminal to power boards that may need more than 3.3V and a general-purpose button(with the option to shut down the Pi with a script). Also updated， the mounting holes found on the board are now spaced to accommodate the typical Qwiic board dimension of 1.0"×1.0". This HAT is compatible with any Raspberry Pi that utilizes the standard 2x20 GPIO header as well as the NVIDIA Jetson Nano and Google Coral.。Note。When placing a Raspberry Pi and the pHAT in an enclosure(like the Pi Tin)， we noticed that the pHAT was not fully inserted in Pi's header pins. For a secure connection， you'll need to add a pair of 1x20 stackable headers to extend the pins to your cart.。The SparkFun Qwiic Connect System is an ecosystem of I2C sensors， actuators， shields and cables that make prototyping faster and less prone to error. All Qwiic-enabled boards use a common 1mm pitch， 4-pin JST connector. This reduces the amount of required PCB space， and polarized connections mean you can't hook it up wrong.。Get Started with the SparkFun Qwiic pHAT Guide。Features。4x Qwiic Connection Ports。1x 5V Tolerant Screw Terminal。1x General Purpose Button。HAT-compatible 40-pin Female Header

【特長】。リアルタイムエッジ処理向けの低消費電力・コンパクトなAI推論および開発キット。・MIC-711D-ON(開発キット)。・MIC-711-OX (BOX型PC) 軽量AI推論システム(100 TOPS)。--------------------------------------------------------------------------------。【LlamaとDeepSeek向けに高性能なLLM推論を提供】。アドバンテックのNVIDIA(R)エッジAIコンピューティングプラットフォームは、。LlamaやDeepSeekを含むオープンソースLLM向けにスケーラブルで高速な推論を提供し、。コンパクトなエッジデバイスから強力なAIサーバまで、効率的なAI処理を実現します。※Allxon 24/7リモートモニタリングとOTAデプロイメント対応。※型番末尾「A1」は JetPack version 5.1.2 モデルです。 型番末尾「A2」は JetPack version 6.2 モデルです。※本製品に、アダプター+PSE電源ケーブル添付あり。--------------------------------------------------------------------------------。【対象アプリケーション】。・ AI搭載スマートデバイス(IoTアシスタント、AIロボット)。・ 顧客対応向けエッジAI(小売キオスク、音声応答自動化システム)。・ 産業向けAI監視(予知保全、品質管理)。・ モバイルおよびオフライン使用向け軽量AIアシスタント

Description。This is a multifunctional sensor that gives you temperature and relative humidity information at the same time. It utilizes a TH02 sensor that can meet measurement needs of general purposes. It provides reliable readings when environment hu

プロフェッショナルグラフィックボード。NVIDIA Blackwell アーキテクチャを搭載。

NVIDIA Turing GPUアーキテクチャを搭載したスモールフォームファクター向けグラフィックスボード 4GB。

NVIDIA Jetson Xavier NX搭載。 エッジAI Jetson Xavier NX。

NVIDIA RTX 4000 Ada 世代はシングルスロットのまま、世代を変えるごとにスペックは大幅に向上し、消費電力は低減されてきました(130W)。

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NVIDIA A2。 メモリ16GBを搭載。 ※1 T110k-Sは空冷モデルのみ

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