HP’s CES refresh includes new AI-powered EliteBooks and the Z2 Mini

The HP EliteBook and Z2 Mini product lines are expanding with new AI-capable laptops and a compact workstation, incorporating neural processing units for enhanced performance.

Product Overview: HP’s latest release includes three new EliteBook models and a compact Z2 Mini workstation, all designed with AI capabilities at their core.

• The EliteBook lineup features the Ultra G1i, X Flip G1i, and X G1i models, all powered by Intel Core Ultra processors
• Each model incorporates neural processing units (NPUs) specifically designed for AI workloads
• The Z2 Mini G1a workstation leverages AMD Ryzen AI Max Pro technology for professional-grade computing

Technical Specifications: The new devices offer significant performance improvements and modern connectivity options to support demanding workloads.

• All EliteBook models feature 14-inch displays with resolutions up to 3K (2880×1800)
• Memory configurations extend to 32GB RAM with storage options up to 2TB SSD
• Advanced connectivity includes Thunderbolt 4 ports, Wi-Fi 7, and optional 5G support
• The Z2 Mini workstation supports up to 128GB unified memory and 8TB storage

Design Features: Each model targets specific user needs with distinct form factors and capabilities.

• The Ultra G1i emphasizes portability at 2.63 pounds with a sub-0.6-inch profile
• The X Flip G1i offers versatility with its convertible design and optional privacy screen
• The X G1i balances performance with mobility, featuring a 120Hz display option
• The Z2 Mini maintains a compact footprint while supporting up to four 4K displays

Market Positioning: HP’s pricing strategy positions these devices in the premium professional segment.

• The EliteBook Ultra G1i will launch in January with a starting price of $2,019
• Additional EliteBook models will be available in January with pricing to be announced
• The Z2 Mini G1a workstation is scheduled for release in 2025

Future Implications: The integration of dedicated AI processing capabilities in professional devices signals a shift toward AI-accelerated workflows becoming standard in business computing, though the practical benefits will depend heavily on software ecosystem development and real-world applications.