Full-Stack Software‑Hardware Co‑Design Redefines China's AI Compute Landscape

The 2026 HaiGuang AI Software Ecosystem Summit in Zhengzhou revealed a decisive industry shift from peak‑performance chip bragging to system‑level effective compute, emphasizing full‑stack software‑hardware collaboration, heterogeneous scheduling, and open architecture as the key to unlocking trillion‑parameter AI models.

AI computeChina AI ecosystemMLPerf

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Full-Stack Software‑Hardware Co‑Design Redefines China's AI Compute Landscape

DataFunTalk

Feb 2, 2026 · Artificial Intelligence

How Alluxio Boosts GPU Utilization to 99.57% for Embodied AI – Inside the MLPerf Success

This article explains how Alluxio’s distributed caching architecture tackles the massive, multimodal data challenges of embodied AI, delivers near‑zero‑millisecond access, achieves 99.57% GPU utilization in MLPerf Storage v2.0, and validates its value through real‑world enterprise deployments.

AI Data PlatformAlluxioEmbodied Intelligence

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How Alluxio Boosts GPU Utilization to 99.57% for Embodied AI – Inside the MLPerf Success

Architects' Tech Alliance

Feb 6, 2024 · Industry Insights

How to Evaluate Data Center Compute Power: From Supercomputer Benchmarks to PUE

This article explains the concept of data‑center compute power, reviews mature evaluation methods such as TOP500/FLOPS for supercomputers and SPEC CPU, SPECpower, and MLPerf for conventional servers, introduces the PUE efficiency metric, and summarizes the four core components that together define a data‑center's computing capability.

BenchmarkingHPCMLPerf

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How to Evaluate Data Center Compute Power: From Supercomputer Benchmarks to PUE

Architects' Tech Alliance

Dec 28, 2021 · Artificial Intelligence

Understanding FLOPS, Benchmarks, and AI Compute Performance

This article explains the concept of FLOPS, its measurement units, common benchmarks such as Linpack and MLPerf, why traditional HPC benchmarks may not suit AI workloads, and provides a comprehensive overview of hardware performance figures from GFLOPS to PFLOPS across various modern processors and supercomputers.

AI computeFLOPSHPC

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Understanding FLOPS, Benchmarks, and AI Compute Performance

Alibaba Cloud Infrastructure

Apr 22, 2021 · Artificial Intelligence

Alibaba Cloud Breaks MLPerf Inference Performance Records with Zhenduan Heterogeneous Computing Platform

Alibaba Cloud's Zhenduan heterogeneous computing acceleration platform achieved historic breakthroughs in the MLPerf inference benchmark, processing over 1.07 million images per second on 8 NVIDIA A100 GPUs, setting multiple first‑place records and dramatically improving e‑commerce recommendation speed and overall AI workload efficiency.

AI inferenceAlibaba CloudGPU Acceleration

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Alibaba Cloud Breaks MLPerf Inference Performance Records with Zhenduan Heterogeneous Computing Platform