ASUS ROG Strix G16 G615JMR

In this asus rog strix g16 g615jmr review, the ASUS ROG Strix G16 G615JMR earns the number two spot on our list of nine best laptops for programming and the label of best for AI and machine learning work. It sells for $1,499.99 and holds a 4.4 star average across 596 Amazon ratings, which makes it the most-reviewed pick in the guide. Under the hood sits an NVIDIA GeForce RTX 5060 with 8GB of video memory, the only dedicated GPU among the nine laptops we compared. For developers training small models, running CUDA workloads, or testing local AI tools, that video memory matters more than any processor headline. Even so, it is a gaming laptop first, so buyers who only write code should check the caveats below.

Performance is where the numbers get concrete. The 16-core Intel Core i7-14650HX boosts to 5.2 GHz, so compiles, container builds, and test suites finish quickly. In practice, 16GB of DDR5-5600 memory handles an IDE, a browser full of tabs, and a local model at the same time. However, that 16GB is also the ceiling, since the platform caps memory at 16GB and there are no empty slots to expand it. Storage is a 1TB PCIe Gen 4 SSD, which leaves room for datasets, virtual machines, and a game library. On top of that, the 16-inch 1920x1200 panel runs at 165Hz with 3ms response, and the ACR film cuts glare during long log-scrolling sessions. The vapor chamber and tri-fan cooling keep clocks stable under sustained load, while Wi-Fi 7, three USB ports, one Thunderbolt port, and HDMI cover docks, drives, and external monitors.

Value depends on what you run. At $1,499.99, the ASUS ROG Strix G16 G615JMR costs more than the integrated-graphics laptops on this list, yet it is the only one that can train a model locally without cloud credits, which often pays that gap back within a few months. By contrast, thin ultrabooks in the guide win on battery life and weight, since this machine tips the scales at 2.65 kg and lasts about 2 hours unplugged under load. Meanwhile, the 1-year limited warranty is standard rather than generous, and the 16GB memory ceiling rules it out for heavy virtualization work. That said, if your priority is GPU compute for AI projects, this is the one to get at number two. Buy it for the RTX 5060, not for portability.