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Enterprise Layer Intelligence
Categories/DevOps & CI/CD/Fovus
Fovus

Fovus

Founded 2024

Run high-performance computing workloads and scientific simulations on serverless infrastructure in the cloud

Pricing model

Free Trial

You can use Fovus to run high-performance computing workloads without managing complex clusters or waiting in job queues. It provides serverless compute capacity for resource-heavy simulations, life sciences pipelines, and machine learning projects. You can run Nextflow and Sarek bioinformatics workflows, execute computer-aided engineering simulations, and scale out GPU workloads on demand. The system automates cloud resource provisioning to match the exact requirements of your scientific tasks, reducing cloud infrastructure spend while accelerating processing speeds.

What Fovus does

Execute high-throughput computational biology pipelinesScale GPU compute resources for model training jobsDeploy computer-aided engineering simulations on demandRun automated bioinformatics workflows using NextflowMonitor and control cloud computing expenditure for big data batch jobsOrchestrate complex distributed scientific workloads without cluster setupAutomate failover and retries for failed computing tasksServerless infrastructure setup with zero cluster management overheadOn-demand access to distributed CPU and GPU compute instancesNative support for genomic pipelines including Nextflow and SarekDynamic resource provisioning tailored to simulation workload sizesAutomated cloud compute cost reduction for high-throughput batch jobsDirect simulation acceleration for computer-aided engineering workloadsAutomated workload recovery to prevent pipeline dropouts and failures

Pricing breakdown

Pricing model: Free trial

PlanList price
PAYG (per credit)$1 one-time
HPCaaS Annual (per credit) (paid yearly)$0.94 / yr total

Frequently asked

Nextflow, Sarek

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Fovus, serverless HPC, high performance computing, cloud compute, Nextflow, Sarek, bioinformatics, CAE simulation, GPU orchestration, scientific computing, cluster scaling, batch computing, distributed computing, computational biology, engineering simulations