The Yoga Pro 9 16" Laptop is best for creative professionals who design, draw and render on-the-move. Its NVIDIA RTX Spark™ N1X with 5120-core GPU and 18-core CPU brings Blackwell RTX graphics and NVIDIA AI to a thin laptop.Studio-grade graphics. The NVIDIA RTX Spark™ N1X chip combines the processor and graphics onto one chip. Things like 3D renders, video edits and design work are tackled quickly, so intensive workflows can feel a little lighter.Tackle AI projects. With 32 GB of LPDDR5X unified memory shared by the CPU and GPU, you can keep more stuff like creative apps, browser tabs and demanding AI models open at once. That makes it great for getting to grips with your big projects.Draw straight onto the trackpad. The haptic touch pad doubles as a drawing surface when you use the included Lenovo Yoga Pen 2. Sketch and design without reaching for a separate tablet.A screen that shows every detail. The 15.3” 2.5K OLED touchscreen brings your work to life with rich colour and deep contrast. The sharp 500-nit peak brightness makes it easy to see, even in bright rooms. At a 165 Hz refresh rate, every brush stroke and animation frame looks smooth.No power drop when you unplug Most laptops lose performance the moment you pull the plug, but this one keeps AC and DC performance level, so your renders and edits run at full speed on battery. You'll get full power without needing to search for a plug socket.Fast, roomy storage The 1 TB SSD gives you generous space for up to 200,000 photos or 200 hours of Full HD video. It loads them in a fraction of the time a mechanical drive would take, so even large files take less time to load up.Tech explainedNVIDIA RTX Spark™ is a superchip that houses both the processor and the graphics, rather than keeping them apart. That closeness also lets it share one pool of memory, which is exactly what large AI models need to run without stalling. That means it can hit about 1 petaflop of performance - that's roughly a thousand trillion calculations per second.Please note: laptop charger sold separately