10FT iPad Charger,iPhone Charger [Apple MFi Certified],12W USB Wall Charger Foldable Portable Travel Plug with Long Lightning Cable Compatible for iPhone,iPad 4/5/6/7/8/9,iPad Mini 4/5,iPad Air 1/2/3

1-kit 12W Foldable USB iPad Wall Charger Block With 10FT Lightning Cable，start your new day with a full battery. Notes： √2.4A Fast Charging Speed: 2X Faster than Original 5W Wall Charger，saving your 2.5 hours to fully charge. √Ultra-compact Design: Lightweight and Foldable plug, smaller than a credit card,easy to put into pocket,100-240V input is suitable for global travel. √Strong and Durable High-quality Material: High-coverage aluminum foil makes data transmission free from external signal interference while fast charging. 1X Fast 12W Foldable Charger Block Specification:: Output: 5.2V Current: Max 2.4A Input: 100V-240V Material: ABS Color: White iPad Charger Cord Specification: Color: White Cable Material: TPE Cable Length: 10FT Compatible with Devices： Apple iPad 10.2" 2021 (9th Gen) Apple iPad 10.2" 2020 (8th Gen) Apple iPad 10.2" 2019 (7th Gen) Apple iPad 9.7" 2018 (6th Gen) Apple iPad 9.7" 2017 (5th Gen) Apple iPad Pro 12.9" 2017 (2nd Gen) Apple iPad Pro 12.9" 2015 (1st Gen) Apple iPad Pro 10.5" 2017 Apple iPad Pro 9.7" 2016 Apple iPad Air 10.5" 2019 (3rd Gen) Apple iPad Air 9.7" 2014 (2nd Gen) Apple iPad Air 9.7" 2013 (1st Gen) Apple iPad Mini 7.9" 2019 (5th Gen) Apple iPad Mini 7.9" 2015 (4th Gen) Apple iPad Mini 7.9" 2014 (3rd Gen) Apple iPad Mini 7.9" 2013 (2nd Gen) Apple iPod/AirPods Apple iPhone 14/Plus/Pro/Max/13/12/Pro/Max/Mini/11/Pro/Max Apple iPhone SE 2020/XS Max/XS/XR/X Apple iPhone 8/7/6s/6 Plus/SE/5/5C/5S What You Will Get: 1 x 12W iPad Charger Block 1 x 10FT Lightning Charger Cable

ASIN

B0BBDZTTG3

Embedding

CLIP ViT-L/14 · 768d

Distance metric

cosine

Doc fetch

2ms·cache hitGET /v2/namespaces/amazon-products/documents/B0BBDZTTG3

How it works

Similar query

18msnearest_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.