From Workstation Motherboards and GPU compute to flagship Workstations — AI Center software runs fast and stable on ASRock's full AI-ready hardware lineup.
Built for enterprise-grade AI workloads. Multi-GPU, PCIe Gen5, ECC memory, minimal local-inference latency.
Supported GPUs (1–2 pcs)
NVIDIA RTX PRO Blackwell — 6000, 6000 Max-Q, 5000 72GB, 5000, 4500, 4000, 4000 SFF, 2000
AMD Radeon™ AI PRO R9700, Radeon™ RX 9070 XT
Intel Arc™ Pro B70, B65, B60
Supported GPUs (1–4 pcs)
NVIDIA RTX PRO Blackwell — 6000, 6000 Max-Q, 5000 72GB, 5000, 4500, 4000, 4000 SFF, 2000
AMD Radeon™ AI PRO R9700
Intel Arc™ Pro B70, B65, B60
Supported GPUs (1–4 pcs)
NVIDIA RTX PRO Blackwell — 6000, 6000 Max-Q, 5000 72GB, 5000, 4500, 4000, 4000 SFF, 2000
AMD Radeon™ AI PRO R9700
Intel Arc™ Pro B70, B65, B60
HEDT and workstation-class motherboards with PCIe Gen5, multi-GPU slots, Thunderbolt, and 10GbE — maximum expansion flexibility for data scientists.
ASRock graphics cards deliver the compute power AI workloads demand. Pair with motherboards for DIY builds, or drop into Workstation systems for flexible scaling.
CV motion tracking demands heavy GPU inference. Multi-GPU workstations process multiple match videos in parallel.
View software → Finance AIFinancial data must stay on-prem. Local LLM + RAG needs serious GPU performance — workstations hit the sweet spot.
View software → Healthcare AIIn-hospital knowledge retrieval + voice responses need real-time inference. On-prem deployment meets HIPAA-class privacy.
View software → Education AIA complete offline AI classroom on one workstation — 59 teaching apps, semester courses, and a campus RAG assistant, on CUDA or ROCm.
View software →The best infrastructure depends on your models, data, users, security requirements, and growth plans. ASRock AI Center helps translate those needs into a validated hardware architecture and a practical path to deployment.