In addition to announcing its data-analytics-id=”inline-link” href=”https://www.tomshardware.com/tech-industry/artificial-intelligence/huawei-unveils-atlas-950-supercluster-touting-1-fp4-zettaflops-performance-for-ai-inference-and-524-fp8-exaflops-for-ai-training-features-hundreds-of-thousands-of-950dt-apus” data-mrf-recirculation=”inline-link” data-before-rewrite-localise=”https://www.tomshardware.com/tech-industry/artificial-intelligence/huawei-unveils-atlas-950-supercluster-touting-1-fp4-zettaflops-performance-for-ai-inference-and-524-fp8-exaflops-for-ai-training-features-hundreds-of-thousands-of-950dt-apus”>first AI cluster with 1 FP4 ZettaFLOPS performance, Huawei also revealed a detailed roadmap of its upcoming Ascend neural processing units (NPUs) that accelerate AI workloads at the Huawei Connect 2025 event.
The company does not have access to TSMC’s leading-edge process technologies or high-end HBM4 and GDDR7 memory from global leaders. So to boost the performance of its Ascend processors, it will need to rely on a new architecture and new types of memory, kicking off…
