Celluster Inc. opened Celluster Release 1 publicly for the first time.

Celluster is defining a new category of compute: Reflex-Native Infrastructure, intent-driven execution without orchestration. A distributed reflex compute fabric where workloads adapt in real time based on intent and telemetry, extending reflex behavior from CPU to GPU across clusters, without orchestration. Reflex Compute is powered by Cells, a *patent-backed* unit of distributed execution with identity, continuity, and intent. This is the beginning of a shift beyond Kubernetes-era compute. Reflex Compute treats workloads as adaptive distributed entities with no control planes, no schedulers, no orchestration layers. Reimagining next-gen cloud for the AI era, no VMs, no containers, no Kubernetes. A reflex-driven compute substrate where workloads launch, adapt, and *secure* themselves based on intent and real-time telemetry. Designed for microsecond decisions, GPU locality, and bare-metal performance without control-plane overhead. What Celluster changes Celluster introduces a fundamentally different execution model, without requiring rip-and-replace. Celluster is a semantic, reflex-native compute substrate for AI workloads that: • Optimizes GPU, storage, and network utilization continuously • Eliminates control-plane scaling ceilings • Provides true zero-trust execution (security embedded in the execution unit) • Maintains line-rate dataplane performance • Co-exists with Kubernetes and cloud today, while progressively absorbing infrastructure responsibilities over time Users declare infrastructure intent, covering compute needs, GPU topology, storage lifecycle, networking, security posture, placement constraints, and performance goals. That intent is carried by autonomous Cells, execution units that bind the workload and its intent together at execution time. Cells do not wait for controllers to react. They act through reflexive verbs: launch · migrate · clone · reroute · scale · fuse · decay These reflexes are driven by live telemetry, not static schedule

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