Supermicro
Built to Accelerate

The latest generation of Intel CPU are designed for demanding workloads, including AI inferencing. Onboard Advanced Vector Extensions (AVX2) instruction sets enable the processing of high volumes of data in parallel, running small language models (SLM) and similar models directly on the CPU.

The Intel Core Ultra series processors additionally have an integrated NPU and GPU. The NPU lets the system run low-power AI and machine learning workloads independently of the CPU and GPU, leaving the CPU to focus on other computing tasks.
Their increased power-efficiency and lower thermal footprint make Intel’s edge processor an ideal fit for AI applications in retail, manufacturing, healthcare, and other specialized environments.

• Onboard AVX2 instruction sets for CPU-based inferencing
• Power-efficient Intel Xeon 6 SoC with up to 72C P-cores
• Intel Core Ultra with up to 16 P/E/LPE cores, integrated GPU with 12 Xe -cores and 50 NPU TOPS

Designed for professional media creation and edge AI, Intel’s Arc Pro B50 and B60 GPUs are built on the Xe2 architecture. Pairing up to 24GB of VRAM with robust performance, Intel’s Arc Pro B-Series GPU are built to support demanding AI workloads, including generative AI and local model inferencing. The B50’s compact, 70W design suits small workstations and edge devices with up to 170 TOPS, while the full height, full length B60 delivers higher compute (197 TOPS), memory bandwidth, and multi-GPU scalability for larger models and heavier tasks.

With industry-standard API support, extensive ISV certifications, and PCIe 5 connectivity, these GPUs help businesses deploy AI workloads on-premises or at the network edge with lower latency, enhanced data control, and reduced cloud reliance.

• Up to 20 Xe cores
• Energy-efficient AI Performance
• Multi-GPU support for demanding workloads