Lenovo ThinkPad P16v G3 16 pollici workstation mobile - Intel Core Ultra 7 255H - 32GB DDR5 - 1TB SSD - NVIDIA RTX 2000 Ada

The Lenovo ThinkPad P16v G3 is a powerful mobile workstation engineered for professionals who demand uncompromising performance and reliability. Featuring the latest Intel Core Ultra 7 processor and NVIDIA RTX 2000 Ada graphics, this 16-inch laptop handles complex CAD, rendering, and data analysis with ease. Its robust build, advanced security features, and vibrant display make it the ideal choice for engineers, designers, and content creators.

Advantages

Experience seamless multitasking with 32GB of DDR5 RAM and lightning-fast 1TB PCIe Gen5 SSD storage. The WUXGA IPS display with 100% sRGB ensures accurate color reproduction, while the backlit keyboard and numeric keypad enhance productivity. With Thunderbolt 4, HDMI 2.1, and Wi-Fi 7, you get versatile connectivity and future-proof networking.

Suitable for

• Professional engineers and architects running CAD/CAE software
• Data scientists and analysts handling large datasets
• Content creators working with video editing and 3D rendering
• Business professionals requiring a secure, high-performance mobile workstation

Key specifications

• Processor: Intel Core Ultra 7 255H (16 cores, up to 5.1 GHz)
• Graphics: NVIDIA RTX 2000 Ada (8GB GDDR6) + Intel Arc Graphics
• Memory: 32GB DDR5-5600MHz (2x 16GB SODIMM)
• Storage: 1TB PCIe Gen5 NVMe SSD
• Display: 16" WUXGA (1920x1200) IPS, anti-glare, 400 nits, 100% sRGB
• Operating System: Windows 11 Pro
• Connectivity: 2x Thunderbolt 4, 2x USB-A 3.2 Gen 1, HDMI 2.1, RJ45 Ethernet, SD Express 7.0 card reader
• Wireless: Wi-Fi 7 (802.11be) + Bluetooth 5.4
• Battery: 90Wh Li-Polymer
• Security: Fingerprint reader, dTPM 2.0, Kensington Nano Security Slot
• Weight: Starting at 2.2 kg (4.85 lbs)
• Dimensions: 361.5 x 248.6 x 26.3 mm (14.33 x 10.47 x 0.89 in)

Recommendations

For optimal performance, pair this workstation with a Lenovo Thunderbolt 4 Dock and a high-resolution external monitor. Consider upgrading to 64GB RAM if your workflows involve large simulations or virtual machines.