Move at the speed of ideas
High performance computing is all about scale and speed. And when you're backed by Google Cloud’s state-of-the-art infrastructure, you can accelerate your most complex HPC workloads’ time to completion. Competitive pricing and discounts help you stay within budget to convert an idea into a discovery, a hypothesis into a cure, or an inspiration into a product.
Pay for what you use
Google Cloud offers on-demand access to custom machine configurations that are billed on a per-second basis with committed use discounts and sustained use discounts available. Plus, get up to 80% cost-savings with Preemptible VMs.
Cut the queues
On Google Cloud, each team has access to their scalable, tailor-made cluster. This helps them solve problems faster, reduce queue times for large-batch workloads, and relieve compute resource limitations.
Reference architecture for compute instances of batch jobs and fault-tolerant workloads.
Reference architecture for adding autoscaling, backup head node, monitoring, and alerting components.
Burst from on premises
Reference architecture for easily adapting and integrating on premises workloads to Google Cloud.
Powering medical breakthroughs.
See how Google Cloud and Big Data tools can process petabytes of genomic, imaging, clinical, and insurance data in seconds.
Bringing the numbers into view.
Power quantitative research, portfolio optimization, and risk modeling on Google Cloud — capable of running clusters with a few hundred (or thousand) cores in minutes.
Render faster. Broadcast on demand.
Render large workloads, live stream videos to a global audience, and launch applications with the latest NVIDIA Tesla GPUs, even at peak times.
The Broad Institute
This visionary research institution utilizes GCP to analyze human genomes 400% faster than on-site computing clusters — and at scale.
Facing stability issues, an open-source financial trading community migrated to GCP to support the work of their 50,000+ quants.
An award-winning French post-production company relies on GCP to handle massive computations without breaking the budget.