A cloud native platform offering comprehensive control and automation of all HPC tasks via CLI and a user-friendly GUI for designing, editing, and executing HPC jobs. Human-readable, portable workflow files that execute anywhere. Streamlined R&D for HPC & AI Research.
CIQ Fuzzball is a container-first performance intensive computing platform that accelerates innovation by reducing the burdens of workflow development, infrastructure provisioning and management of clustered jobs, even across hybrid environments.
Fuzzball modernizes traditional HPC with an API-first, container-optimized architecture. Operating on Kubernetes, it provides all the security, performance, stability, and convenience found in modern software and infrastructure.
Fuzzball takes an engineer and researcher-first approach and provides intuitive tools to build and deploy without expertise in infrastructure and lowers the barrier for all performance intensive computing. Fuzzball not only abstracts the infrastructure layer but also automates the orchestration of complex workflows, driving greater efficiency and collaboration. Plug it into your existing orchestration and automation, build your own SDKs, or simply point-and-click.
You define compute resource pools and the Fuzzball control plane analyzes the data, compute and storage requirements to automate the provisioning and orchestration of the right resources. Fuzzball makes it simple to embed and run applications with Workflow templates that can be built and designed for any workflow or application.
Fuzzball will deploy and optimize placement of your workflows across disparate clusters that reside in multiple regions or even across on-premise and cloud providers. This optimizes your environment based on data, compute and storage requirements and gives you the flexibility to develop in the cloud and deploy on premise or develop locally and deploy to the cloud for scale. And it comes with integrations for the tools you already use and templates so anyone can enjoy it, including Jupyter, Matlab, OpenRadioss, PyTorch, R Studio, TensorFlow, and it works with your CI/CD pipelines including Jenkins, GitLab, and GitHub Actions.
If you are planning on using CIQ Fuzzball, we strongly encourage you to review the Fuzzball documentation attached to this listing prior to purchase, and contact CIQ if you have any questions before clicking deploy.
Highlights
A user-friendly GUI for designing, editing, and executing HPC jobs. Comprehensive control and automation of all HPC tasks via CLI. Human-readable, portable workflow files that execute anywhere
Automated data ingress and egress with full compliance logs. Native integration with GPU, both on-prem and cloud storage, and your favorite applications and CI/CD pipelines.
Extensive is support included for installation and configuration, bug and security fixes, platform updates and upgrades, troubleshooting and diagnostics, integration, best practices, and general Fuzzball support for usage. See Support information for details.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Fuzzball bills by usage, charging you per minute across three separate dimensions. Fuzzball Orchestrate covers the control plane that schedules and manages your workflows. The two Substrate Node dimensions cover the compute that runs your jobs: a standard node and a GPU-enabled node. You pay for each node type by the minute it runs, so GPU workloads bill separately from standard compute. Total cost scales with how long you run Orchestrate plus the number and runtime of the nodes you use. Standard and GPU nodes are priced independently, letting you match compute to each job.
Top-of-mind questions for buyers
What counts as one Substrate Node for billing, and how does the GPU node differ?
A Substrate Node is a compute node that runs your workflow jobs. The standard node handles general compute, while the GPU node adds graphics-processing hardware for training and inference tasks. Each node bills per minute it runs. You choose which node type each job requires, so GPU compute meters separately from standard compute.
Am I charged when a node sits idle or a job finishes?
All three dimensions bill per minute of runtime. Charges accrue while Orchestrate is active and while each Substrate Node runs. When a node stops, its per-minute charge stops. GPU nodes bill only for the minutes they run, so ending a job halts that node's charges.
How do the three dimensions combine on my bill?
The three dimensions bill independently and appear together. Fuzzball Orchestrate meters the control plane that schedules workflows. Standard and GPU Substrate Nodes meter the compute running your jobs. Your total adds Orchestrate runtime plus the runtime of every node used. Node minutes usually drive most of the cost for compute-heavy or GPU workloads.
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Helm charts are Kubernetes YAML manifests combined into a single package that can be installed on Kubernetes clusters. The containerized application is deployed on a cluster by running a single Helm install command to install the seller-provided Helm chart.
Version release notes
Fixed
[fuzzball-orchestrate/fuzz-8126] Fixed RouteGetSourceAddress failing on kernels without XFRM support.
[fuzzball-orchestrate/fuzz-8129] Fixed multi-GB object-cache blob transfers (e.g. large container image layers) aborting mid-stream; the blob upload and download handlers now clear the orchestrate HTTP server's 15s per-request read/write deadlines so long-lived streaming transfers are no longer cut off.
[deployment/fuzz-8182] Route substrate SIF object-cache uploads through nginx by aliasing api.DOMAIN on the docker-compose network so caching of external images works.
[fuzzball-substrate-bridge/fuzz-8223] Substrate bridge now bundles and serves orchestrate extension RPMs for both x86_64 and aarch64 nodes, and provisioning selects the URL by node architecture.
[fuzzball-workflow/fuzz-8266] Fixed services being unreachable at : after v4.1.1 started assigning every service a random host port. Services now publish on their declared host ports again unless they are autoscaled replica pools, which keep randomly assigned host ports; as before v4.1.1, two non-pool services declaring the same port cannot share a node.
[fuzzball-workflow/fuzz-8361] Workflow validation now rejects unsupported ingress/egress URI schemes; the undocumented local:// scheme, which previously could hang fuzzball-substrate, is no longer accepted.
Application-specific assistance to run workloads on Fuzzball and professional services to create and manage workflows are available from CIQ at an additional cost. Contact us for details.
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