CIQ’s Fuzzball 4.3 runs validated open-weight models on a customer’s own GPUs with one command
Open models deploy from a catalog with validated presets, and in-cluster agents discover them automatically, across
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RENO, Nev, Oct. 08, 2026 (GLOBE NEWSWIRE) — CIQ, the enterprise software company behind Rocky Linux, today announced the general availability of Fuzzball 4.3, which brings ready-to-run AI models and agents to its sovereign AI orchestration platform. The release helps enterprises operationalize open-weight models and agentic AI on infrastructure they already run, with the control and governance required for AI in production. Fuzzball 4.3 deploys validated models from a catalog, connects agents to them automatically, and scales inference across heterogeneous GPU fleets, on premises and in the cloud.
Enterprises are shifting from AI pilots to production inference and repatriating workloads to private infrastructure for cost savings, security, and sovereignty. Meeting these goals often means standing up a new infrastructure stack before the first model serves a token, then integrating models, gateways, and agents by hand. Fuzzball 4.3 gives teams a faster path to productivity without rearchitecting their environment.
“Enterprises have already made their infrastructure decisions, and private AI should fit into them. With Fuzzball 4.3, a team starts a model, starts an agent, and the two find each other, on the GPUs, clusters, and clouds the organization already runs. That is what turnkey should mean,” said Gregory Kurtzer, CEO of CIQ and founder of Rocky Linux.
Models start with one command from the self-service model catalog. Eleven presets cover open-weight models from the GPT-OSS, Llama 4, Gemma 4, Qwen3-Coder, Mistral, and Nemotron 3 families, and a vLLM-based inference entry serves any other compatible Hugging Face model.
Models autoscale behind a single, stable endpoint and can scale down to zero running instances when idle, returning GPU capacity to other workloads, ready to spin back up for additional requests. And large models can scale across multiple nodes for additional resources.
Fuzzball 4.3 connects agents to models automatically. OpenCode and hermes-agent, two coding agents in the workflow catalog, run inside the cluster and discover running models through gateways, with no manual integration. Each model ships behind a built-in LiteLLM gateway with an OpenAI-compatible endpoint. Or, run one central gateway that fronts every model a user is authorized to reach. Another entry in the catalog provides a retrieval service to connect your private agents to enterprise documents.
Governance is built into the platform. Idle pools wake only for authenticated requests. Administrators control which organizations and groups can use which resources, and every workload runs unprivileged and rootless. Fuzzball 4.3 supports heterogeneous GPU fleets across NVIDIA and AMD for serving and health-aware scheduling, all under one operating model.
Availability
Fuzzball 4.3 is generally available now. Fuzzball deploys to AWS, Google Cloud, Oracle Cloud, CoreWeave, and Azure, as well as on-premises clusters built with Warewulf, VMware, or bare metal. To get started, contact CIQ at ciq.com/products/fuzzball.
About CIQ
CIQ is the founding support and services partner for Rocky Linux and a leading provider of Enterprise Linux infrastructure. CIQ delivers secure, performant software infrastructure for the full range of modern workloads. Global enterprises, government agencies, research institutions and supercomputing centers trust CIQ to run their most advanced workloads in production, from mission-critical environments to the systems behind major scientific and AI breakthroughs. CIQ’s products include the Rocky Linux from CIQ (RLC Pro) family of operating systems, Ascender Pro for IT automation, Fuzzball job-based container orchestration, Warewulf Pro cluster provisioning, and Apptainer, the container system built for high-performance computing, with Apptainer Pro coming soon. Learn more at ciq.com.
Media contact
Christina Roach
ciq@offleashpr.com
