Cisco C9300 & IOx Native

The Edge
Intelligence
Grid.

Divide the payload. Aid the edge.

We transform Cisco Catalyst 9300 Series Switches and CW917X Access Points into a sovereign, decentralized AI execution farm via native Docker containers. Leveraging asymmetric pipeline parallelism to execute high-density AI workloads with zero dedicated GPUs.

See Target Verticals View Docker Architecture
C9300 ORCHESTRATOR CW917X AP AI WORKERS

Absolute Data Sovereignty.

Consider a financial institution processing highly sensitive PII. Cloud-based LLMs leak context via external APIs. Divaid keeps the prompt entirely localized. The inference swarm is physically sandboxed within the walls of the branch.

PUBLIC INTERNET / EXTERNAL API AIR-GAPPED LOCAL VLAN C9300 ORCHESTRATOR VAULT SWARM TELLER SWARM LOBBY SWARM
Every tensor travels purely through the physical copper and fiber inside the building. The Firewall strictly isolates external traffic, distributing the AI computation across dozens of Access Points acting as a massive local execution substrate.

Cisco IOx & Native Docker Execution

Catalyst 9300 series and modern edge APs possess robust ARM64 compute capacity. Cisco IOx allows native Docker containers to run directly on the switch hardware, but restricts memory footprints via strict cgroups. Running colossal AI architectures natively in this sandbox was deemed impossible. Until now.

Cisco IOx & Native Docker Execution

Catalyst 9300 series and modern edge APs possess robust ARM64 compute capacity. Cisco IOx allows native Docker containers to run directly on the switch hardware, but restricts memory footprints via strict cgroups. Running colossal AI architectures natively in this sandbox was deemed impossible. Until now.

01. Deep Quantization

GGUF Encoding

We subject state-of-the-art dense transformer models to aggressive INT4 quantization. By dropping precision on the weight matrices, the payload is algorithmically compressed, fitting inside the Docker image without perplexity degradation.

02. Workload Fragmentation

The DivGraph™ Algorithm

Our proprietary DivGraph Distribution Algorithm resides in the C9300 Orchestrator container. When a heavy AI task hits the network, DivGraph shatters the underlying neural network layers into mini-tasks. Rather than passing parameter weights, it distributes fractional matrix multiplication tasks across the Docker nodes running on your AP swarm.

Docker Payload 1x Sub-block Micro-tensor
Node Validation C9300 State Merge
C9300-Orchestrator-Docker:~

$ divgraphctl start-swarm --quant INT4

[INFO] Discovering accessible Docker instances via Cisco IOx API...

[OK] Discovered 48 Access Points running Divaid-Worker images.

[INFO] DivGraph Algorithm generating asymmetric tensor shards...

[OK] Micro-task block pushed to AP-Vault-01 (10.0.0.11)

[OK] Micro-task block pushed to AP-Teller-02 (10.0.0.12)

... [Distributing 48 shards across the mesh] ...

[OK] Verification hash-tree mapped to C9300 Orchestrator.

> Pipeline established. Listening for massive AI inferences.

03. Verification & Recomposition

C9300 Merge

Once the AP nodes complete their fraction of the calculation, the tensors return to the C9300. The Orchestrator acts as the ultimate verifier, recombining the mini-tasks, decoding the hidden states, and returning the definitive final AI output with mathematical certainty.

Live Simulation

The 1,000-Node Compute Matrix.

Scale changes everything. Imagine a corporate campus with 100 Catalyst Switches and 1,000 Access Points. When a colossal Generative AI task hits the network, the C9300 Orchestrator slices the mathematical workload into thousands of shard-groups (represented by colors) and routes them across the mesh.

Zero Wi-Fi Disruption: Thanks to strict IOx cgroup isolation, the Access Points seamlessly process massive background AI inferences while continuously serving high-performance Wi-Fi to connected laptops and mobile devices.

C9300 ORCHESTRATOR Shard: Layer 1-4 Shard: Layer 5-8 Shard: Layer 9-12 Shard: Layer 13-16 Shard: Layer 17-20 Standard Traffic VLAN 20: Prod Guest Wi-Fi Corporate Auth IoT Telemetry

Real-World Flow: Heavy Workload Orchestration.

Imagine processing a massive, confidential 500-page Financial Audit through an advanced LLM to detect compliance anomalies. Sending this to an external API violates banking sovereignty.

Instead, the prompt hits the Catalyst 9300 Orchestrator. The DivGraph Algorithm tokenizes the document and shatters the heavy attention-matrix calculation into 50 mini-tasks.

These micro-payloads are pushed instantly to 50 local CW917X Access Points running lightweight Docker workers. They execute their fraction of the neural network layer simultaneously. The returning tensors are instantly verified and recomposed by the C9300, delivering a comprehensive anomaly report locally, securely, and in seconds.

DivGraph Task Fragmentation Flow

1. Heavy Ingestion

C9300 receives the 500-page Audit (PDF).

2. DivGraph Matrix Split

Algorithm divides the mathematical workload into 50 micro-tensor sequences.

3. Docker Swarm Distribution

Micro-tasks distributed via IOx to 50 AP nodes. Mini-inferences executed in parallel.

4. C9300 Verification & Recomposition

Orchestrator receives returning tensors, verifies hash integrity, and merges outputs.

5. Final Output Yield

Local Zero-Trust compliance report generated.

Total Addressable Market

Target Sectors for Sovereign AI.

Public cloud LLMs are commercially unviable for highly regulated industries due to data privacy laws. divaid.AI unlocks Generative AI for sectors where the data can never leave the building.

Government & Defense

Execution of intelligence models on classified data. The network itself becomes an air-gapped supercomputer, ensuring National Security compliance (ENS/FedRAMP) by default.

Healthcare & Hospitals

Real-time processing of patient telemetry, automated clinical transcription, and diagnostic RAG systems running locally on the hospital's Catalyst-backed VLAN. 100% HIPAA compliant.

Banking & Finance

Processing highly sensitive Personally Identifiable Information (PII) and internal audits. The branch network infrastructure executes the Generative AI tasks without relying on external corporate APIs.

Critical Infrastructure & IoT

Ultra-low latency decision making for industrial networks. By moving inference to the physical APs covering the manufacturing floor, round-trip cloud latency is eliminated entirely.

Strategic Alignment: Cisco CDA

The Hardware Refresh Catalyst.

divaid.AI doesn't just innovate in software; it completely transforms the commercial value of modern networking hardware. By positioning the network as the execution layer for Enterprise AI, we align perfectly with the objectives of the Country Digitalization Acceleration (CDA) program.

Massive HW Refresh

Legacy infrastructure cannot run IOx Docker containers. divaid.AI creates an unprecedented, immediate business case for clients to upgrade legacy networks to Catalyst 9000 Series and Wi-Fi 7 APs to unlock AI capabilities.

Sovereignty as a Service

Positions Cisco as the exclusive networking vendor capable of offering zero-trust, on-premise Generative AI without requiring massive capital expenditure in dedicated GPU server farms.

DNA Licensing Upsell

The DivGraph Orchestrator tightly integrates with Cisco Spaces and DNA Premier tiers, turning software licensing renewals into mission-critical AI operations for the enterprise.