AI Clusters • HPC Fabrics • GPU / NVLink / RoCE
No one protects the fabric. Celluster makes it immune.
Most “AI security” tools stop at pods, VMs, APIs, or models. Meanwhile, attackers can quietly
drain GPUs, saturate NVLink, or flood RoCE, turning an AI cluster into a very expensive heater
while dashboards stay green.
Celluster is an AI fabric immune system: Reflex Cells sit beside GPUs and NICs,
enforcing declared intent and shutting down DoS / NoS at the hardware edge, before it becomes an outage.
The Category
Celluster = Fabric Immune System, not another scanner.
Celluster is not runtime scanning, not EDR, and
not a container or model security product. It is a
reflexive substrate that makes NVLink, RoCE and GPU fabrics self-defending.
Think of it as: “immune system for the AI fabric”
sitting under today’s clusters and meshes, enforcing intent where packets and DMA actually flow.
Left: AI fabric DoS / NoS hiding behind green dashboards.
Right: Reflex Cells enforcing intent at the GPU, NVLink and RoCE edge — a true fabric immune system.
AI Cluster & Fabric DoS / NoS
When the GPUs are melting, the logs still look fine.
A modern attacker doesn’t need a science-fiction “AI virus.” They just need to
turn your AI fabric against you:
GPU DoS: wasteful kernels keep SMs at 100% and VRAM exhausted.
Thermal pressure: sustained overload forces throttling and node dropouts.
NVLink saturation: pointless traffic keeps gradient sync permanently late.
RoCE / RDMA floods: low-value memory transfers clog east–west bandwidth.
To users and SREs, this just looks like “the cluster is slow today.”
To an attacker, it’s a very quiet, very effective DoS.
Pods are fine. TLS is fine. Dashboards are green. The fabric is on fire.
Why Today’s Stack Can’t See It
Workload security ≠ fabric security.
Most tooling was built for CPU-era problems and control planes:
Kubernetes / Slurm: schedule jobs; they don’t understand NVLink or RDMA intent.
SDN / meshes: enforce L3/L4/L7 policy; the fabric is just “fast pipes.”
EDR / workload agents: see processes and syscalls, not GPU training flows.
Control planes: react at API and human speeds, not at fabric speeds.
We have excellent research on side-channels, timing and vulnerabilities — but production
defenses are still glued to pods, IPs and YAML.
In other words: we built a helmet for the rider and forgot the brakes on the bike.
Celluster: Reflex Cells on the Fabric
From “observe and pray” → to “detect and reflex.”
Celluster introduces Reflex Cells as a substrate that lives beside GPUs, NICs
and fabrics — not just in front of services.
Each Cell carries:
Identity: who this Cell is.
Intent: how much GPU / fabric it should consume and how.
Lineage: where it came from — which tenant, app family, or job.
Reflex rules: what to do when behavior doesn’t match intent.
Instead of waiting for a controller to notice a problem, the fabric reacts locally:
Misbehaving Cells can be isolated or decayed at the edge.
Suspicious patterns trigger rate limits or reroutes in milliseconds.
Healthy Cells continue uninterrupted; only the noisy lineage gets contained.
Today’s Defenses vs Fabric-Native Reflex
What changes when security becomes part of the substrate.
Attack Type
Today’s Reality
With Celluster Reflex Cells
GPU compute flood
Cluster slows down; looks like “busy but healthy.”
Usage that violates intent is pinned to a lineage and automatically constrained or shut down.
NVLink saturation
Training jobs miss windows; root cause unclear.
Cells causing abnormal intra-node chatter are slowed or isolated before they starve everyone else.
RoCE / RDMA flood
Inter-node congestion, timeouts, paging SREs at 3am.
Reflex rules cut low-value fabric traffic from the offending Cells before congestion cascades.
Cryptojacking on GPUs
Looks like “high utilization” in dashboards.
Patterns that don’t match declared intent are flagged and decayed automatically.
Outages as Comic Relief (Until They’re Real)
What the comic shows — and why it matters.
Left: GPUs sweating, NVLink and RoCE abused while graphs stay green.
Right: Reflex Cells quietly enforcing intent on the fabric in real-time.
The cartoon is funny because it’s true: most AI outages start in places our tools don’t look.
Celluster’s claim is simple:
Don’t bolt “AI security” onto the side.
Make the AI fabric itself reflexive and self-protecting.
For SREs & reliability teams
Fewer mystery incidents. Fewer 3am pages.
With Celluster, “cluster feels slow” is no longer a shrug-emoji ticket.
Misuse of GPUs and fabric shows up as clear, scoped incidents :
Which intent lineage misbehaved.
Which reflex fired, and why.
What traffic was cut, cloned, or rerouted.
The goal: fewer postmortems titled “we still don’t fully know.”
For AI infra providers
Securing what you actually sell: GPU time.
If you rent GPUs, fabrics, or full AI clusters, your real product is
usable compute time . Fabric-level DoS / NoS is both:
a revenue leak, and
a trust problem for your biggest customers.
Celluster helps you offer:
Fabric-aware SLAs, not just “cluster uptime.”
Per-tenant protections against noisy neighbors.
A clear story on “AI fabric immune system” for regulated customers.
For partners & investors
Beyond workload security. Into fabric security.
Most vendors today secure workloads, APIs, or control planes.
Almost nobody makes the AI fabric itself reflexive and self-defending.
Celluster’s substrate is:
Co-existence friendly with today’s stacks.
Attachable to any AI or HPC cluster that exposes fabric telemetry.
Positioned as the “missing immune system” for next-gen GPU clouds.
To explore pilots or strategic collaboration:
partners@celluster.ai
Contact
Deep-dive on AI fabric threats
If you operate large AI clusters, GPU clouds, or HPC fabrics and want to walk through
specific DoS / NoS scenarios and defenses:
Founder: nikhil@celluster.ai
General: info@celluster.ai
© 2025 Celluster Reflex™ — All Rights Reserved
This page describes high-level behavior and positioning. It does not disclose internal kernel layouts,
map formats, or proprietary implementation details; it focuses on the semantic and security model.