Acer Veriton GN100 2025, GB10 Superchip, 128GB, 4TB SSD, Black

The Acer Veriton GN100 is a tiny AI workstation with best-in-class 128GB of unified memory and a 4TB SSD. It's built for local AI model work, not gaming or general computing. Worth it only if you know exactly why you need that GB10 Superchip.

The specs here are wild for the size. 128GB of RAM puts it at the absolute top of our database, and the 4TB SSD is right up there too. The GB10 Superchip runs at 1.7GHz with integrated Blackwell graphics, which is fine for AI workloads but not exactly a gaming rig. Our gaming score of 16/100 tells the real story. The CPU lands near the bottom of our charts at the 7th percentile, which sounds bad until you remember this thing isn't built for general computing. It's built to run large language models locally without renting cloud GPUs. For that job, the unified memory architecture is the whole point.

Against the Apple Mac Studio M3 Ultra, the Veriton GN100 offers more RAM at a lower price but gives up a ton of CPU performance and the entire Apple software ecosystem. The Lenovo Legion Tower 5a and Dell Aurora are gaming machines first, and they'll absolutely crush the Acer in any game you throw at them. The HP OMEN GT16 and ASUS ROG GM700 are in the same boat. None of those competitors can touch the GN100's unified memory setup for AI workloads, but they're all far more versatile machines for everyday use. This is a specialist tool competing against generalists.

At $3,920 USD or $5,699 CAD, this is not a casual purchase. You're paying for the GB10 Superchip and that massive unified memory pool. If you're a developer or researcher who needs to run large models locally and wants to skip cloud GPU rental fees, the math can work out over time. But for anyone else, this is a lot of money for a machine that scores 54.9/100 for developers and 59.5/100 for workstations. The value proposition is narrow, and you need to know exactly why you're buying it.

The Acer Veriton GN100 is a weird one. It's a mini workstation built around NVIDIA's GB10 Grace Blackwell Superchip, packing 128GB of RAM and a 4TB SSD into a 1.2kg box. On paper, it's a local AI monster with up to a petaFLOP of AI performance. In practice, it's a very specific tool for a very specific buyer.

Skip this if you need a general-purpose computer. The CPU is near the bottom of our charts, gaming is a 16/100, and the user sentiment score is one of the worst we've seen. If you want to play games, edit video, or just browse the web, a Mac Studio or a Legion Tower will serve you far better for the same money. This is for AI developers and researchers only.

Buy this if you're a developer or researcher who needs to run large AI models locally and wants to avoid cloud costs. The 128GB of unified memory is the killer feature, and nothing else in this price range matches it. But if you need a general-purpose workstation, a gaming PC, or anything that requires strong single-core CPU performance, look elsewhere. This is a one-trick pony, and the trick is AI inference.