HPC-AudvikLabs

Distributed HPC

It is through data that ground‑breaking scientific discoveries are made, game‑changing innovations are fuelled, and quality of life is improved for billions of people around the globe. HPC is the foundation for scientific, industrial, and societal advancements.

As technologies like IoT, AI, and 3‑D imaging evolve, data volumes grow exponentially. From streaming live events and tracking storms to testing new products and analyzing stock trends, organizations need lightning‑fast, highly reliable infrastructure to process and analyze data in real time.

Use Cases

Climate modeling and weather forecasting
Computational fluid dynamics simulations
Molecular dynamics simulations
Protein folding and drug discovery
Financial modeling and risk analysis
Computational astrophysics and cosmology
High‑performance web serving and content delivery

Large‑scale data analysis and machine learning
Genome sequencing and bioinformatics
Energy exploration and reservoir modeling
Autonomous vehicle simulations and testing
Video transcoding and streaming
Cryptography and secure communications

HPC on Cloud

High‑Performance Computing (HPC) on the cloud leverages elastic cloud resources to perform large‑scale, compute‑intensive tasks without the need for heavy on‑premise investments. Configure multiple cloud providers, storage, and networking to run HPC workloads efficiently, with built‑in security and resource optimization.

Scientific simulations
Financial modeling and risk analysis
Weather forecasting
Molecular dynamics simulations
Machine learning and deep learning

Image and video processing
Genome sequencing and analysis
Finite element analysis
Computational fluid dynamics
Oil and gas exploration

Containerization HPC

Containerized HPC uses technologies like Docker and Kubernetes to package applications and dependencies into portable containers. This simplifies deployment across heterogeneous environments, improves resource utilization, and enhances reproducibility while reducing conflicts and downtime.

Use Cases

High‑throughput data processing
Computational chemistry
Bioinformatics
Deep learning and AI training
Computer vision

Computational fluid dynamics
Finite element analysis
High‑frequency trading
Genomic analysis

How we help?

With High‑Performance Computing as a Service (HPCaaS), we help clients design and run tailored HPC environments in a budget‑friendly, scalable way. Our experts work closely with you to choose the right mix of hardware, cloud resources, schedulers, and storage.

HPCaaS delivers high‑level processing capacity through the cloud, enabling organizations to run complex calculations on massive datasets without large up‑front investments. The same workloads that once required dedicated supercomputers can now be executed on agile, cloud‑based platforms.

Our solutions draw their power from parallel, cluster, grid, and distributed computing designs—carefully engineered for performance, resilience, and cost efficiency.

Parallel Computing: hundreds of processors executing workloads simultaneously for maximum throughput.
Cluster Computing: tightly‑coupled nodes with shared schedulers, storage, and monitoring for research and enterprise workloads.
Grid & Distributed Computing: loosely‑coupled systems across locations, stitched together for resilient, scalable power.

Benefits of HPC

HPC helps organizations overcome computational limits of traditional systems, delivering faster insights, lower costs, and improved innovation velocity.

High Performance

Clusters combine high‑speed processors, memory, networking, and file systems to maximize throughput and minimize latency.

Parallel Computing

Run many tasks at once across multiple servers and accelerators, dramatically increasing simulation and analytics efficiency.

Lower Cost

Pay‑as‑you‑go infrastructure and efficient resource utilization reduce capital expenses while keeping performance high.

Reduced Physical Testing

Accurate simulations minimize the need for expensive, time‑consuming real‑world experiments in domains like automotive, aerospace, and healthcare.

Frequently Asked Questions

What is High Power Computing (HPC)? +

Faster time‑to‑insight, ability to run complex simulations, improved accuracy, and the capacity to process huge datasets that conventional systems cannot handle.

What are the advantages of using HPC? +

Faster time‑to‑insight, ability to run complex simulations, improved accuracy, and the capacity to process huge datasets that conventional systems cannot handle.

Which sectors does HPC primarily cater to? +

Industries such as aerospace, automotive, energy, finance, life sciences, media & entertainment, and advanced analytics depend heavily on HPC.

Why is AudvikLabs the right partner for your HPC journey? +

We combine deep cloud, DevSecOps, and AI expertise with practical experience building and operating production‑grade HPC environments across industries.

What are some common setups for HPC modelling? +

Typical topologies include shared‑memory systems, distributed‑memory clusters, GPU accelerators, container‑based micro‑clusters, and hybrid cloud/on‑premise architectures.