AmpereĀ® processors are well-suited for high-volume data workflows such as AI inference and training. They feature single-threaded design, high core counts, and native support for FP16 via Arm SIMD instructions, which can improve throughput in AI workloads, reducing contention caused by simultaneous multi-threading (SMT) found in other processors, enabling efficient parallel processing. Additionally, they are cost-effective for CPU-based inference and … Read More
Edge Computing and AI Inference with Ampere Cloud Native Processors
NextComputing’s Ampere Edge appliances and Fly Away Kits take full advantage of Ampere’s AI-friendly CPU’s, making AI inference faster, cheaper, and more energy-efficient in the cloud and at the edge. Ampere’s white paper, AI Inference with Ampere Cloud Native Processors (PDF), explains how and why their CPU’s are superior for AI inferencing. AI consists of two critical components: training and … Read More