Ruchi RoyHPC is changing fast. Learn how open-source tech, GPUs, and tools like Atmosphere are reshaping high-performance computing on your terms.
The world’s most complex problems whether in scientific research, AI, or financial modelling rely on high-performance computing (HPC). From genomic sequencing to climate forecasting, HPC enables groundbreaking advancements, but traditional supercomputers alone can’t always keep up.
The need for scalability, real-time processing, and architectural flexibility has driven HPC toward cloud-based solutions. The combination of specialized hardware like GPUs, scalable storage, and high-speed networking is making next-generation HPC more accessible and efficient, without the hardware constraints and high maintenance costs of legacy systems.
Why HPC Needs a New Approach
Modern HPC is evolving beyond just raw compute power. With the rise of AI-driven analytics and data-intensive workloads, industries need infrastructure that can scale dynamically and process vast amounts of data in real time.
Scientific research, weather modeling, and AI simulations generate petabytes of data, storage and networking bottlenecks can slow down analysis. Traditional on-premise HPC clusters are costly to maintain, difficult to upgrade, and lack the agility needed for today’s workloads.
That’s why cloud-native HPC, built on OpenStack, is becoming the preferred alternative. It combines the performance of supercomputing with the flexibility of cloud orchestration, enabling enterprises and research institutions to scale on their terms.
How GPUs are Transforming HPC
HPC has always relied on parallel computing, breaking large problems into smaller tasks that run simultaneously, and GPUs excel at this.
Atmosphere enables direct PCI passthrough for GPUs, ensuring unrestricted access to hardware acceleration. Unlike public cloud GPU instances with rigid pricing models, this approach gives organizations full control over resource allocation, optimizing for both performance and cost-efficiency.
The integration of GPUs with Kubernetes-powered orchestration allows workloads to scale without unnecessary overprovisioning. Instead of idle compute wasting resources, Kubernetes automatically balances workloads, ensuring that simulations, AI training, and analytics pipelines operate at peak efficiency.
An HPC Success Story
The University of Buffalo (UB) faced growing demands for scalable HPC infrastructure as research workloads increased. By migrating to Atmosphere OpenStack, UB eliminated manual maintenance bottlenecks, automated infrastructure upgrades, and improved Kubernetes cluster management.
Now, researchers have seamless access to high-performance compute resources.
Read the full UB case study here.
Overcoming Data Bottlenecks in HPC
HPC workloads are data-intensive, often moving terabytes per second between compute nodes. Without fast, scalable storage and networking, processing slows to a crawl.
Atmosphere integrates with Ceph-powered block storage, ensuring that AI models, simulations, and datasets remain readily accessible. Instead of relying on third-party storage vendors, this approach eliminates bottlenecks and allows storage to scale dynamically as workloads grow.
Networking is just as critical. For organizations running HPC across multiple locations, Atmosphere’s OVN-powered networking ensures seamless data movement between compute, storage, and containerized workloads without congestion slowing down processing.
HPC at the Edge: Moving Compute Closer to the Source of Data
Not all HPC workloads belong in a central data center. With edge computing on the rise, AI-driven analytics, autonomous vehicles, and industrial IoT require real-time processing closer to where data is generated.
Rather than moving massive datasets back and forth, Atmosphere enables distributed HPC, ensuring that simulations, analytics, and AI pipelines can run at the edge without unnecessary data transfer delays.
The Shift Towards Open-Source HPC
Legacy HPC systems are rigid and expensive to expand. Scaling resources requires significant upfront investments, and maintenance costs continue to rise. A cloud-native approach eliminates these limitations.
With Atmosphere, enterprises and research institutions get:
- Specialized GPU support (PCI passthrough)
- Kubernetes-driven auto-scaling and self-healing clusters
- Seamless Ceph storage & high-speed networking
Rather than being locked into proprietary HPC systems, organizations can customize, optimize, and scale HPC environments on their own terms without being complicated or cost prohibitive.
No vendor lock-in. No rigid pricing models. No headaches around managing legacy infrastructure.
Explore what Atmosphere can do for your HPC workloads.