Level up your workflow with the iBUYPOWER FNBA9RR9701, an AI workstation desktop PC purpose-built for machine learning, deep learning, and local AI development. This prebuilt iBUYPOWER AI Workstation pairs professionally vetted, workstation-grade components to handle demanding AI and data science workloads. Train and fine-tune models faster on an AMD Ryzen 9 9950X processor paired with an AMD Radeon AI PRO R9700 32GB GPU, with enough dedicated VRAM to run large language models, diffusion models, and other memory-hungry AI workloads locally. Load large datasets and model checkpoints quickly on a 4TB NVMe solid-state drive, and multitask across training runs, notebooks, and containers thanks to 64GB DDR5 RAM. The workstation ships with Windows 11 Pro installed and is ready for your preferred AI/ML stack, including CUDA, cuDNN, TensorRT, PyTorch, TensorFlow, and popular local-LLM tools. To keep performance consistent through multi-hour training runs, the iBUYPOWER Fractal AMD Radeon FNBA9RR9701 is equipped with iBUYPOWER's Cooling system - 360mm liquid CPU cooler and case airflow tuned for sustained, full-load operation, not just short gaming bursts.
Massive 32GB of dedicated GDDR6 VRAM and next-gen Tensor Cores let you run and fine-tune large language models, Stable Diffusion, and other memory-intensive AI workloads locally, without renting cloud GPU time.
16 cores and 32 threads of native processing power keep data preprocessing, multi-threaded training scripts, and containerized workloads moving without bottlenecking your GPU.
High-capacity, high-bandwidth DDR5 memory holds large datasets, multiple notebook environments, and containers in memory at once, so you can multitask across experiments without slowdowns.
Fast NVMe storage means quick load times for large datasets, model checkpoints, and container images, plus plenty of room to store multiple model versions locally.
Windows 11 Pro adds the remote access, virtualization (Hyper-V, WSL2), and security features AI developers rely on for local containers, Linux-subsystem workflows, and remote training sessions.
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