AI Inference Server Solutions
For model deployment, business inference, edge inference, and enterprise AI applications. We consider inference performance, power control, deployment space, network connectivity, and delivery cost.
Key Project Considerations
- Configuration direction based on concurrency, latency requirements, model size, and deployment environment.
- GPU/CPU balance, memory capacity, storage performance, networking, and power use considered together.
- Suitable for enterprise AI applications, computing-service customers, and system integration projects.
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.