How Baidu’s Cloud HPC Transforms Hybrid Computing for Enterprises

High‑performance computing (HPC) accelerates complex calculations, model simulations, and data analysis, helping businesses innovate faster and shorten time‑to‑market.

Full‑stack HPC solution

Baidu Intelligent Cloud’s CHPC (Cloud HPC) delivers a comprehensive solution covering hybrid‑cloud infrastructure, resources, management, and applications, aiming to boost computation speed, improve cluster utilization, and lower resource costs.

Hybrid‑cloud HPC cluster

Traditional on‑premise HPC requires large capital outlays for equipment purchase, maintenance, and upgrades. CHPC unifies management of on‑premise and multi‑cloud clusters, allowing critical tasks to run on the latest cloud hardware while keeping confidential workloads on local clusters.

Latest generation compute resources

CHPC offers instances powered by AMD 4th‑gen EPYC Genoa CPUs (up to 192 physical cores) and Intel 5th‑gen Xeon EMR CPUs (minimum 3.2 GHz), as well as memory‑optimized instances with up to 3 TB RAM for memory‑intensive algorithms.

Dynamic scheduling and elastic scaling

Based on hybrid‑cloud clusters and modern hardware, CHPC provides task‑level dynamic scheduling and elastic resource scaling, ensuring full utilization of cluster resources and rapid task execution.

In production, tasks are often placed in separate queues, leading to mismatched resource allocation and waste. CHPC monitors node usage and automatically moves queued tasks to idle queues, eliminating idle resources and speeding up overall computation.

Workload demand fluctuates during a project lifecycle. CHPC’s load‑aware elastic scaling automatically expands or releases resources and applies real‑time billing, removing the need for manual scaling by operations engineers.

Application performance optimization

Using Baidu’s Btune, CHPC fine‑tunes common open‑source applications to eliminate performance bottlenecks and fully exploit underlying hardware capabilities.

Case studies

Life sciences : Company A deployed local HPC for routine research but faced short‑term peak demand for external projects. By adopting CHPC’s hybrid solution, it automatically scaled cloud resources during peaks and leveraged Btune‑optimized tools to accelerate high‑throughput gene sequencing and deep analysis, while securely syncing results to Baidu Object Storage and Baidu Netdisk for downstream distribution.

Industrial manufacturing : Company C built a hybrid HPC environment spanning on‑premise IDC, Baidu Cloud, and third‑party clouds. CHPC’s global resource management, dynamic scheduling, and real‑time monitoring maximized resource efficiency, and the unified console provided visual, click‑based cluster operations, greatly improving administrator productivity.

Overall, CHPC introduces a hybrid multi‑cloud HPC model with elastic resources, industry‑specific tools, and performance optimization, helping enterprises reduce costs, respond quickly to market demands, and enhance competitive advantage.