ASRock DeskSlim Desktops Ship With RTX Pro 4000 and 2000 GPUs for AI Workloads

ASRock has expanded its DeskSlim compact desktop lineup with two new workstation configurations that integrate NVIDIA RTX Pro GPUs directly into small form factor chassis. This move matters because it allows professionals to deploy high-performance AI and rendering hardware in spaces where standard tower PCs do not fit. These systems target users who need significant compute power without the footprint of a traditional desktop case.

ASRock DeskSlim X600 and B760 models now available globally with workstation GPUs

The DeskSlim X600 model runs on the AMD AM5 platform and supports Ryzen 7000, 8000, and 9000 series processors with a 120W thermal limit. We also see the DeskSlim B760, which utilizes the Intel LGA 1700 socket to accommodate 12th, 13th, and 14th-generation Core processors rated up to 125W. Both chassis share a common internal architecture designed to house specific NVIDIA workstation graphics cards.

Spec comparison

Users can choose between the NVIDIA RTX Pro 4000 SFF or the RTX Pro 2000 for their graphics needs. The RTX Pro 4000 SFF provides 24 GB of GDDR7 ECC memory and delivers 40 TFLOPS of FP32 performance while drawing just 140W. The RTX Pro 2000 offers 16 GB of GDDR7 ECC memory and 17 TFLOPS of FP32 performance at a lower 70W power draw. Each system includes four UDIMM DDR5 slots for up to 256 GB of RAM and storage options comprising two M.2 NVMe ports plus two SATA ports.

ASRock claims the RTX Pro 4000 configuration delivers 1,290 AI TOPS of AI power, while the RTX Pro 2000 setup provides 545 AI TOPS. Both configurations are now available through the company's global distribution network. The manufacturer has not yet announced pricing details for these specific GPU-enabled builds.

These releases add workstation-grade graphics capabilities to the DeskSlim series, which previously focused on general compact desktop use. The availability of ECC memory in the GPU options supports professional workloads requiring data integrity. Buyers seeking high-end AI inference or rendering in a mini PC format now have concrete hardware options to evaluate.