AI Training Server Solutions
For large-model training, multimodal models, image recognition, speech recognition, scientific computing, and private AI computing platforms. System recommendations consider GPU, CPU, memory, storage, networking, and cooling.
Key Project Considerations
- GPU, CPU, memory, NVMe storage, and high-speed networking direction based on model scale, training cycle, and budget.
- Attention to multi-GPU communication, storage throughput, redundant power, cooling, and rack deployment conditions.
- System configuration, component matching, compatibility confirmation, assembly testing, and delivery coordination.
Related Product Directions
- Server Systems
GPU servers, general-purpose servers, AI training servers, AI inference servers, and data center servers for AI deployment, data center expansion, and enterprise IT projects.
- System Solution Support
System configuration, model matching, compatibility confirmation, assembly testing, and delivery coordination aligned to project requirements.
- GPU
Data center GPUs, AI accelerators, and graphics-computing hardware for AI training, inference, HPC, rendering, and computing clusters.
- CPU
Server CPUs, workstation CPUs, and enterprise-platform processors for general computing, virtualization, databases, and server upgrades.
- Memory / RAM
DDR4 and DDR5, ECC, RDIMM and LRDIMM, HBM, and other server memory for system matching, server expansion, and AI computing platforms.
- SSD / HDD Storage
Enterprise SSDs, NVMe SSDs, and SATA and SAS HDDs for data center storage, server expansion, and spare-part purchasing.
- RAID / HBA / NIC
RAID cards, HBA cards, 10G, 25G, 40G, and 100G network adapters, and network expansion components for storage expansion, network connectivity, and server builds.
- Chips / ICs
Server, storage, and networking chips and ICs for project matching, maintenance spares, replacement upgrades, and ongoing supply requirements.