CHUWI 10.1" Tablet PC, Windows 10 Tablet, 6GB RAM 128GB ROM, Intel Celeron N5100 Quad-Core CPU, 1920x1200 FHD Gaming Tablet, 2.4G+5G WiFi, Bluetooth 5.1,5MP and 2MP Cameras
【6GB RAM+128GB ROM * 10.1 inches】 The tablet has 128GB of local memory, which can be further expanded to 512GB when combined with the Micro SD card slot. Games, eBooks, tunes, audio, photos, music and more bring your favorite media anywhere, anytime. No more worrying about running out of capacity. With an upgraded 12nm chipset and 6GB RAM, the Hi10 Go tablet can be extremely fast and powerful with latency control, making it easy to enjoy your favorite games and multitasking. The GPU operating system enables advanced gaming performance. (Can update the latest Windows11) 【Equipped with Windows 10*Ultra high performance*Full HD picture quality】CHUWI Hi10 Go rubber strip powerful dual-core high-speed processing chip, using 12nm process technology, with a maximum frequency of 2.8Ghz and huge energy. Equipped with Windows 10 system, it supports the intelligent high-speed and powerful computing power of the new network.Easy-to-use user interface. Global Gel Touch and Dark Mode support make the tablet more personal. The FHD IPS touch LCD screen with a resolution of 1920*1200 pixels provides you with a smooth feeling of use. The beauty of animation appreciation, e-books and other pictures. 【Wi-Fi Mode・Comfortable Operation・Energy-Saving Design】Supports Celeron N5100 quad-core processor, 2.4 GHz/5 GHz WiFi&Bluetooth4.2, and can realize stable high-speed communication. It can be expanded up to 128GB using SD card, equipped with 22.42Wh battery, supports 24W fast charging, and can be used for a long time. Have fun with your favorite content. The 5MP rear camera with flash takes high-quality photos and videos. The 2MP front-facing camera is connected via 2.4G+5G WiFi, enabling line-level and business meetings on Zoom or the sky.
- ASIN
- B098D4LPJP
- Embedding
- CLIP ViT-L/14 · 768d
- Distance metric
- cosine
- Doc fetch
- 2mscache hitGET /v2/namespaces/amazon-products/documents/B098D4LPJP
- Similar query
- 20msnearest_to_id → /query
Doc fetch goes through Layer's Aerospike pull-through cache; cache hit served the row without touching turbopuffer. The similar query asks Layer for nearest neighbors of the stored product vector — queries don't go through the doc cache, so no cache header is set.