Save time and money with our discounts!
In cart {{totalProductsCount}} item(s)
Your cart is empty
Desktop PC Lenovo LOQ 17 Core i5-14400F 16GB DDR5 1TB NVMe RTX 3050 Win11 Home (Tower, 17L)
Lenovo LOQ 17 is a compact 17 L tower desktop equipped with an Intel Core i5-14400F (14th gen) processor, 16 GB of DDR5 memory (2 x 8 GB, 4800 MHz) and a 1 TB PCIe 4.0 NVMe SSD. The system includes a discrete NVIDIA GeForce RTX 3050 graphics card with 6 GB GDDR6 memory, Windows 11 Home preinstalled, and a 500 W power supply. Connectivity features include Wi‑Fi 6E, Bluetooth 5.3 and Gigabit Ethernet. The chassis combines a Luna grey front bezel with a raven black body and measures 376 x 170 x 279 mm with a weight of 8 kg.
This desktop delivers balanced multi-core performance with a 10-core Intel Core i5 (6 performance + 4 efficient cores) reaching up to 4.7 GHz and a 20 MB Smart Cache. Fast DDR5 memory and a 1 TB NVMe SSD provide responsive loading and multitasking, while the NVIDIA GeForce RTX 3050 offers dedicated 6 GB GDDR6 graphics for gaming and GPU-accelerated workloads. Modern connectivity options including Wi‑Fi 6E, Bluetooth 5.3, HDMI 2.1 and USB-C make it compatible with current peripherals and displays.
Place the tower on a stable, flat surface with adequate ventilation around the chassis. Connect a display to the HDMI 2.1 or VGA port, attach keyboard and mouse to the available USB ports, and plug the network cable into the RJ-45 port if wired networking is preferred. Power the system from a 100–240 V, 50/60 Hz outlet. Windows 11 Home is preinstalled; follow on-screen setup to create user accounts, install updates and drivers, and activate the operating system. For additional storage or memory upgrades, use the available M.2 slot and DIMM slots following standard anti-static precautions.
For optimal performance in gaming and content creation, keep system drivers and Windows updates current, ensure sufficient airflow around the 17 L chassis, and consider upgrading memory to the maximum supported 32 GB if heavy multitasking or large project workloads are expected.
{{highlightedFeature.featureTitle}}:
{{getProductFeatureValueById(product, highlightedFeature.featureId)}}
{{ productComparisonGenerationError }}