# Layer2C — AI Infrastructure Decision Intelligence > The CTO Advisor LLC · thectoadvisor.com · Updated May 23, 2026 Layer2C helps enterprise technology leaders evaluate where AI infrastructure vendors actually operate — across compute, data, orchestration, runtime, reasoning, and applications — and where your organization still owns governance, cost, evidence, and accountability. Each assessment maps vendor capabilities against the 4+1 Layer AI Infrastructure Model and scores every component using the Decision Authority Placement Model (DAPM): Retained, Delegated, Ceded, or Absent. Full article: https://thectoadvisor.com/blog/2025/11/05/the-cto-advisor-41-layer-ai-infrastructure-model/ ## Framework **8 Layers:** - Layer 0: Compute & Network Fabric - Layer 1A: Data Storage & Governance - Layer 1B: Context Management & Retrieval - Layer 1C: Data Movement & Pipelines - Layer 2A: Infrastructure Orchestration - Layer 2B: Application Runtime & Execution - Layer 2C: Agentic Infrastructure — The Reasoning Plane - Layer 3 (+1): AI Application Layer **DAPM Classifications:** - Retained — enterprise owns and controls this capability - Delegated — provided by a substitutable partner; enterprise retains authority to swap - Ceded — vendor controls this; enterprise consumes without governance authority - Absent — no capability exists; enterprise must build or operate without it **Layer Status Indicators:** ● Strength ◑ Delegated/Partial ○ Gap ✕ Absent ◇ Partner Ecosystem ## Vendors Assessed (12 complete) ### AWS AI Infrastructure *Mapped to the 4+1 Layer AI Infrastructure Model* Version: v1.0 — Draft, Editorial Review Pending · May 21, 2026 Source: re:Invent 2025, GTC 2026, Bedrock AgentCore GA, AgentCore Policy GA (Mar 2026), SageMaker Unified Studio, AWS/NVIDIA collaboration, OpenAI/AWS partnership, analyst coverage **Layer Status:** ● Layer 0: Compute & Network Fabric — Ceded to AWS ● Layer 1A: Data Storage & Governance — Delegated ● Layer 1B: Context Management & Retrieval — Delegated ● Layer 1C: Data Movement & Pipelines — Delegated ● Layer 2A: Infrastructure Orchestration — Delegated / Retained ● Layer 2B: Application Runtime & Execution — Delegated / Retained ◑ Layer 2C: Agentic Infrastructure — The Reasoning Plane — Intelligence 2C: Delegated | Infra 2C: Implicit ● Layer 3 (+1): AI Application Layer — The Value Plane — Broadest Ecosystem **DAPM Profile:** Retained 1 · Delegated 17 · Ceded 6 · Absent 0 **Summary:** AWS is the first vendor in this assessment series that makes a credible claim across every layer of the 4+1 model — including Layer 2C. The structural difference between AWS and every on-prem vendor (Dell, HPE, VAST) is the direction of authority. On-prem vendors build upward from hardware, attempting to extend authority into orchestration and runtime layers. AWS builds downward from managed services, extending authority into custom silicon (Trainium, Inferentia, Graviton), custom networking (EFA/SRD, Nitro), and now on-prem infrastructure (AWS AI Factories). --- ### Microsoft Azure AI Infrastructure *Mapped to the 4+1 Layer AI Infrastructure Model* Version: v1.0 — Draft, Editorial Review Pending · May 22, 2026 Source: Build 2025, GTC 2026, KubeCon Europe 2026, FabCon/SQLCon 2026, Ignite 2024, Microsoft/OpenAI restructured agreement (April 2026), Entra Agent ID GA (April 2026), Agent Governance Toolkit (April 2026), Foundry Agent Service, analyst coverage **Layer Status:** ● Layer 0: Compute & Network Fabric — Ceded to Microsoft ● Layer 1A: Data Storage & Governance — Ceded to Microsoft ● Layer 1B: Context Management & Retrieval — Ceded to Microsoft ● Layer 1C: Data Movement & Pipelines — Ceded to Microsoft ● Layer 2A: Infrastructure Orchestration — Ceded to Microsoft ● Layer 2B: Application Runtime & Execution — Ceded to Microsoft + OpenAI ● Layer 2C: Agentic Infrastructure — The Reasoning Plane — Intelligence 2C: Productized | Infra 2C: Emerging ● Layer 3 (+1): AI Application Layer — The Value Plane — Broadest Enterprise Ecosystem **DAPM Profile:** Retained 1 · Delegated 6 · Ceded 16 · Absent 0 **Summary:** Microsoft Azure is the most structurally complex vendor in this assessment series because it operates three distinct authority systems simultaneously: a massive cloud infrastructure platform (Azure), a deeply integrated but newly non-exclusive frontier model partnership (OpenAI), and the largest enterprise software installed base on earth (Microsoft 365, Entra ID, Purview, Fabric). No other assessed vendor straddles all three domains. Google Cloud owns its frontier model outright. AWS partners with model providers at arm's length. Dell, HPE, and VAST operate below the model layer entirely. Microsoft is the only vendor that must coordinate authority across infrastructure, model intelligence, and enterprise application identity — and the April 2026 OpenAI restructuring has made that coordination both more flexible and more visible. --- ### Cisco Secure AI Factory with NVIDIA *Mapped to the 4+1 Layer AI Infrastructure Model* Version: v1.0 — Draft, Editorial Review Pending · May 23, 2026 Source: Cisco Live EMEA 2026, GTC 2026, RSA Conference 2026, Cisco Q3 FY2026 earnings, Galileo acquisition announcement (Apr 2026), AGNTCY/Linux Foundation donation (Jul 2025), DefenseClaw open source, Cisco/VAST partnership, analyst coverage, published 4+1 model **Layer Status:** ● Layer 0: Compute & Network Fabric — Networking Strength — Asymmetric ◑ Layer 1A: Data Storage & Governance — Delegated — Partner-Delivered ◑ Layer 1B: Context Management & Retrieval — Delegated — Partner-Delivered ◑ Layer 1C: Data Movement & Pipelines — Delegated — Partner-Delivered ◑ Layer 2A: Infrastructure Orchestration — Networking-Centric Orchestration ◑ Layer 2B: Application Runtime & Execution — Security Layer — Not Runtime ◑ Layer 2C: Agentic Infrastructure — The Reasoning Plane — Security + Identity — Not Yet Governance ◇ Layer 3 (+1): AI Application Layer — The Value Plane — Partner Ecosystem **DAPM Profile:** Retained 27 · Delegated 5 · Ceded 0 · Absent 0 **Summary:** Cisco is the only vendor in this assessment series whose AI infrastructure authority is anchored by networking and security — but the compute story has matured beyond that framing. Where Dell builds up from servers and storage, HPE from sovereign compute and owned networking, VAST from the data platform, and hyperscalers from managed services, Cisco builds outward from the network fabric and security posture, with a purpose-built GPU compute portfolio (C885A, C845A, X-Series X580p) that now competes directly with Dell and HPE at every AI workload tier. The Secure AI Factory with NVIDIA is a reference architecture, not a vertically integrated platform — and that distinction defines Cisco's entire 4+1 profile. The customer asking Cisco for an AI factory receives a complete solution: Cisco-owned networking and compute, Cisco-owned security and observability, and partner-delivered storage and data services through validated integrations. --- ### Dell AI Factory with NVIDIA *Mapped to the 4+1 Layer AI Infrastructure Model* Version: v2.1 — Post-Editorial Review · May 21, 2026 Source: DTW 2026, GTC 2026, Dell press releases, published 4+1 model **Layer Status:** ● Layer 0: Compute & Network Fabric — Dell Strength ● Layer 1A: Data Storage & Governance — Dell Strength ◑ Layer 1B: Context Management & Retrieval — Delegated ◑ Layer 1C: Data Movement & Pipelines — Dell + Dataloop ○ Layer 2A: Infrastructure Orchestration — Gap ○ Layer 2B: Application Runtime & Execution — Ceded to NVIDIA ✕ Layer 2C: Agentic Infrastructure — The Reasoning Plane — Not Yet Evident ◇ Layer 3 (+1): AI Application Layer — The Value Plane — Partner Ecosystem **DAPM Profile:** Retained 15 · Delegated 11 · Ceded 1 · Absent 2 **Summary:** Dell has one of the most credible on-prem AI Factory infrastructure stacks in the market. Its credibility comes from physical infrastructure (Layer 0), storage and data lifecycle integration (Layers 1A/1B/1C — with the Dataloop acquisition giving Dell its first proprietary software asset in the data lifecycle), and ecosystem packaging (Layer 3). The Data Plane is where Dell has made its most meaningful software moves, and the Dataloop-powered Data Orchestration Engine deserves recognition as a genuine practitioner-level capability, not just a bolt-on. --- ### Google Cloud AI Infrastructure *Mapped to the 4+1 Layer AI Infrastructure Model* Version: v1.0 — Draft, Editorial Review Pending · May 21, 2026 Source: Google Cloud Next 2026 (Apr 22–24), GTC 2026, NVIDIA partnership, Forrester, SiliconANGLE, The New Stack, analyst coverage **Layer Status:** ● Layer 0: Compute & Network Fabric — Ceded to Google ● Layer 1A: Data Storage & Governance — Ceded — Model-Powered Governance ● Layer 1B: Context Management & Retrieval — Ceded — Model-Powered Prep ● Layer 1C: Data Movement & Pipelines — Ceded ● Layer 2A: Infrastructure Orchestration — Ceded / Delegated (GDC) ● Layer 2B: Application Runtime & Execution — Ceded — Model-Integrated Stack ● Layer 2C: Agentic Infrastructure — The Reasoning Plane — Ceded — Productized but Captive ● Layer 3 (+1): AI Application Layer — The Value Plane — Open Model Layer, Captive Platform **DAPM Profile:** Retained 0 · Delegated 4 · Ceded 30 · Absent 0 **Summary:** Google Cloud is the only vendor in this assessment series that owns a frontier foundation model — and that single fact restructures the entire 4+1 analysis. Google built Gemini, trains Gemini on its own TPUs, optimizes its silicon for Gemini’s training requirements, and weaves Gemini’s intelligence into every layer of its cloud platform. This creates a model-integrated stack: an architecture where the frontier model is not a component plugged into infrastructure but the intelligence that pervades the infrastructure. --- ### HPE AI-Native Infrastructure *Mapped to the 4+1 Layer AI Infrastructure Model* Version: v1.0 — Draft, Editorial Review Pending · May 21, 2026 Source: GTC 2026, HPE GreenLake/storage May 2026 announcements, Discover 2025, Juniper acquisition, Town of Vail whitepaper, analyst coverage **Layer Status:** ● Layer 0: Compute & Network Fabric — HPE Strength ◑ Layer 1A: Data Storage & Governance — Solid ◑ Layer 1B: Context Management & Retrieval — Delegated ◑ Layer 1C: Data Movement & Pipelines — HPE + Open Source ● Layer 2A: Infrastructure Orchestration — HPE Strength ○ Layer 2B: Application Runtime & Execution — Ceded to NVIDIA ◑ Layer 2C: Agentic Infrastructure — The Reasoning Plane — Retained (IT Ops) + Delegated (AI Workloads) ◇ Layer 3 (+1): AI Application Layer — The Value Plane — Unleash AI Ecosystem **DAPM Profile:** Retained 28 · Delegated 10 · Ceded 0 · Absent 0 **Summary:** HPE presents the most structurally interesting comparison to Dell in the 4+1 model because it makes genuine software authority claims that Dell does not. Three capabilities differentiate HPE’s architectural position: GreenLake Intelligence (agentic AI mesh using domain-specific LLMs via MCP — HPE-owned Layer 2A/2C for IT operations), the $14B Juniper Networks acquisition (full networking IP stack from silicon to software — Retained Layer 0 networking authority that Dell entirely delegates), and the Unleash AI program with Kamiwaza as the chosen Layer 2C orchestration partner (validated in production at Town of Vail). --- ### IBM / Red Hat OpenShift AI *Mapped to the 4+1 Layer AI Infrastructure Model* Version: v1.0 — Draft, Editorial Review Pending · May 23, 2026 Source: IBM Think 2026, Red Hat Summit 2026, Red Hat AI 3.4 GA, watsonx Orchestrate next-gen preview, IBM Sovereign Core GA, IBM Concert public preview, IBM Confluent acquisition, Granite 4.1 release, analyst coverage (SiliconANGLE, NAND Research, Futurum Group, ECI Research) **Layer Status:** ○ Layer 0: Compute & Network Fabric — Delegated to Partners ◑ Layer 1A: Data Storage & Governance — Governance Strength, Storage Gap ◑ Layer 1B: Context Management & Retrieval — Open-Source Assembled ● Layer 1C: Data Movement & Pipelines — Confluent + Open-Source Pipeline ● Layer 2A: Infrastructure Orchestration — OpenShift Strength ◑ Layer 2B: Application Runtime & Execution — Open-Source Runtime + NVIDIA ◑ Layer 2C: Agentic Infrastructure — The Reasoning Plane — Most Explicit 2C Claim ◇ Layer 3 (+1): AI Application Layer — The Value Plane — Consulting-Led Ecosystem **DAPM Profile:** Retained 21 · Delegated 10 · Ceded 2 · Absent 1 **Summary:** IBM / Red Hat is the only vendor in this assessment series attempting to build an enterprise AI operating model from middleware outward. Where Dell builds upward from hardware, VAST builds upward from storage, and Google builds downward from model intelligence, IBM builds from the platform layer — Red Hat OpenShift as the universal substrate — and extends authority in both directions: downward into infrastructure governance (Sovereign Core, Concert) and upward into agent orchestration (watsonx Orchestrate). The platform is the distribution vehicle, not the value. The value is the governance and orchestration intelligence that rides on top. --- ### NVIDIA AI Platform *A Components Company Becoming a Platform Vendor — Mapped to the 4+1 Layer AI Infrastructure Model* Version: v1.0 — Draft, Editorial Review Pending · May 22, 2026 Source: GTC 2025, GTC 2026, Dynamo 1.0 GA, NemoClaw/OpenShell announcement, Run:ai acquisition, DGX Cloud, NVIDIA AI Enterprise, NIM GA, analyst coverage, SEC FY2026 annual report **Layer Status:** ● Layer 0: Compute & Network Fabric — NVIDIA Strength — Silicon Authority ○ Layer 1A: Data Storage & Governance — Accelerator Only ◑ Layer 1B: Context Management & Retrieval — Acceleration + Model Enablement ◑ Layer 1C: Data Movement & Pipelines — Inference Data Movement ● Layer 2A: Infrastructure Orchestration — NVIDIA Authority via Run:ai ● Layer 2B: Application Runtime & Execution — NVIDIA Authority — Inference + Agent Runtime ○ Layer 2C: Agentic Infrastructure — The Reasoning Plane — Runtime Governance Only — Not a Reasoning Plane ◑ Layer 3 (+1): AI Application Layer — The Value Plane — Model + Blueprint Enablement **DAPM Profile:** Retained 4 · Delegated 5 · Ceded 8 · Absent 0 **Summary:** NVIDIA is the only vendor in this assessment series that appears inside every other vendor's assessment. Dell's Layer 2A GPU orchestration is NVIDIA Run:ai. HPE's Layer 2B runtime is NVIDIA AI Enterprise. VMware's GPU integration is NVIDIA vGPU Manager. AWS, Google Cloud, and Azure all run NVIDIA GPUs alongside their own silicon. VAST embeds NVIDIA GPUs, NICs, DPUs, and switches into its data platform. Mapping NVIDIA as a standalone vendor inverts the perspective: instead of asking 'where does Dell cede authority to NVIDIA,' the question becomes 'where does NVIDIA claim authority, and from whom?' --- ### Oracle Cloud Infrastructure (OCI) AI Infrastructure *Mapped to the 4+1 Layer AI Infrastructure Model* Version: v1.0 — Draft, Editorial Review Pending · May 23, 2026 Source: Oracle AI World 2025, GTC 2026, OCI Enterprise AI GA (Mar 2026), Fusion Agentic Applications (Mar 2026), Oracle AI Database 26ai, Stargate/OpenAI partnership, NVIDIA/AMD partnerships, analyst coverage, Oracle Q3 FY2026 earnings **Layer Status:** ● Layer 0: Compute & Network Fabric — Ceded to Oracle ● Layer 1A: Data Storage & Governance — Ceded to Oracle — Database-Anchored ● Layer 1B: Context Management & Retrieval — Ceded — Database-Native ◑ Layer 1C: Data Movement & Pipelines — Ceded — Database-Centric, Gaps in ML Pipeline Orchestration ◑ Layer 2A: Infrastructure Orchestration — Ceded — OKE + NVIDIA GPU Scheduling ● Layer 2B: Application Runtime & Execution — Ceded — OCI Enterprise AI Platform ◑ Layer 2C: Agentic Infrastructure — The Reasoning Plane — Intelligence 2C: Emerging | Infra 2C: Implicit ● Layer 3 (+1): AI Application Layer — The Value Plane — Strongest Application-Layer Authority **DAPM Profile:** Retained 0 · Delegated 1 · Ceded 26 · Absent 0 **Summary:** OCI occupies a structurally unique position in this assessment series: it is the only hyperscaler whose AI infrastructure strategy is anchored by a database franchise. AWS builds down from managed services. Google builds out from a frontier model. OCI builds up from the enterprise data layer — Oracle AI Database 26ai, Autonomous AI Database, and the Fusion Applications estate that runs 97% of the Fortune 100. Every other hyperscaler treats the database as one service among many. Oracle treats the database as the gravitational center around which AI infrastructure orbits. --- ### Palantir AIP + Foundry + Apollo *Mapped to the 4+1 Layer AI Infrastructure Model* Version: v3.0 — Layer-by-Layer Pressure-Tested · May 23, 2026 Source: Palantir Architecture Center (Platforms, Ontology System, Multimodal Data Plane, Interoperability, Rubix, AIP Architecture), Apollo docs (How Apollo Works, Plans & Constraints), 'Securing Agents in Production' (Palantir blog, Jan 2026), AIPCon 9, Q1 2026 earnings (May 4, 2026), published 4+1 model **Layer Status:** ✕ Layer 0: Compute & Network Fabric — Not Palantir's Layer (By Design) ● Layer 1A: Data Storage & Governance — Palantir Strength — Governance Authority, Open Storage ● Layer 1B: Context Management & Retrieval — Palantir Strength — Governed Retrieval ◑ Layer 1C: Data Movement & Pipelines — Foundry Pipelines + Open Compute (MMDP) ◑ Layer 2A: Infrastructure Orchestration — Ceded — Platform-Scoped Orchestration ● Layer 2B: Application Runtime & Execution — Palantir Strength — Governed Agent Runtime ● Layer 2C: Agentic Infrastructure — The Reasoning Plane — Ceded — Closest Productized Mechanism, Adjacent Target ● Layer 3 (+1): AI Application Layer — The Value Plane — Palantir Strength — Where It Starts, Not Where It Ends **DAPM Profile:** Retained 0 · Delegated 2 · Ceded 28 · Absent 0 **Summary:** Palantir is the first vendor in this series that is not an infrastructure vendor at all, and reading its own documentation makes the inversion precise. Dell, HPE, VAST, Cisco, and the clouds build upward from silicon, storage, or a data center; Palantir builds downward from the decision. Its Architecture Center is explicit that the Ontology is designed to represent 'the complex, interconnected decisions of an enterprise, not simply the data.' Where Dell is strongest at Layer 0 and absent at Layer 2C, Palantir is structurally absent at Layer 0 and strongest at Layers 1A (governance), 2B (governed agent runtime), 2C (reasoning/orchestration), and 3 (value). It is the mirror image of every infrastructure vendor assessed so far. --- ### VAST AI Operating System *Mapped to the 4+1 Layer AI Infrastructure Model* Version: v1.0 — Initial Assessment · May 21, 2026 Source: VAST Forward 2026, VAST AI OS white paper, analyst coverage, published 4+1 model **Layer Status:** ◑ Layer 0: Compute & Network Fabric — Software-Defined ● Layer 1A: Data Storage & Governance — VAST Strength ● Layer 1B: Context Management & Retrieval — VAST Strength ● Layer 1C: Data Movement & Pipelines — VAST Strength ◑ Layer 2A: Infrastructure Orchestration — Partial ◑ Layer 2B: Application Runtime & Execution — VAST AgentEngine ◑ Layer 2C: Agentic Infrastructure — The Reasoning Plane — Emerging ◑ Layer 3 (+1): AI Application Layer — The Value Plane — Focused Ecosystem **DAPM Profile:** Retained 4 · Delegated 7 · Ceded 31 · Absent 0 **Summary:** VAST is the most architecturally distinct vendor in this assessment series because it deliberately collapses traditionally separate infrastructure layers into a single platform. The VAST AI Operating System unifies storage (DataStore), metadata and vector database (DataBase + Catalog), global namespace (DataSpace), serverless compute (DataEngine), retrieval (InsightEngine), agent runtime (AgentEngine), governance (PolicyEngine), and model lifecycle (TuningEngine) under one authority boundary. Where Dell assembles 5–7 partner technologies to span Layers 1A through 2B, VAST provides a vertically integrated alternative with no inter-layer seams. --- ### VMware Private AI Foundation with NVIDIA *Mapped to the 4+1 Layer AI Infrastructure Model* Version: v1.0 — Initial Assessment · May 22, 2026 Source: VMware Explore 2025, VCF 9.0/9.1 announcements, Broadcom press releases, VCF Private AI blog series, published 4+1 model **Layer Status:** ◑ Layer 0: Compute & Network Fabric — Hardware-Agnostic Abstraction ◑ Layer 1A: Data Storage & Governance — Platform Storage, Not AI-Native ◑ Layer 1B: Context Management & Retrieval — Foundational RAG Services ○ Layer 1C: Data Movement & Pipelines — Gap ● Layer 2A: Infrastructure Orchestration — VMware Heritage Strength ◑ Layer 2B: Application Runtime & Execution — Platform-Native + NVIDIA-Dependent ○ Layer 2C: Agentic Infrastructure — The Reasoning Plane — Emerging Signals Only ◑ Layer 3 (+1): AI Application Layer — The Value Plane — Platform-Enabled, Not Platform-Provided **DAPM Profile:** Retained 27 · Delegated 7 · Ceded 0 · Absent 0 **Summary:** VMware Private AI Foundation with NVIDIA occupies a structurally unique position in this assessment series: it is neither an infrastructure OEM (Dell, HPE), a hyperscaler (AWS, Google Cloud), nor a data platform vendor (VAST). It is a virtualization and private cloud platform — the abstraction layer that sits between physical infrastructure and workloads. Broadcom’s strategic thesis is that VCF is ‘the permanent abstraction layer between AI software and physical chips,’ and the Private AI Foundation extends that thesis into AI workloads specifically. --- ## Site Navigation | Page | URL | Description | |---|---|---| | Home / Vendor Grid | https://layer2c.web.app/ | All assessed vendors with DAPM profiles and layer status | | Cross-Vendor Compare | https://layer2c.web.app/compare | Layer status matrix and DAPM heat map across all vendors | | What Is Layer 2C? | https://layer2c.web.app/what-is-layer-2c | Framework explainer, 4+1 model, DAPM definitions | | Methodology | https://layer2c.web.app/methodology | How assessments are scored and what they evaluate | | AWS AI Infrastructure Assessment | https://layer2c.web.app/assessment/aws | Mapped to the 4+1 Layer AI Infrastructure Model | | Microsoft Azure AI Infrastructure Assessment | https://layer2c.web.app/assessment/azure | Mapped to the 4+1 Layer AI Infrastructure Model | | Cisco Secure AI Factory with NVIDIA Assessment | https://layer2c.web.app/assessment/cisco | Mapped to the 4+1 Layer AI Infrastructure Model | | Dell AI Factory with NVIDIA Assessment | https://layer2c.web.app/assessment/dell | Mapped to the 4+1 Layer AI Infrastructure Model | | Google Cloud AI Infrastructure Assessment | https://layer2c.web.app/assessment/gcp | Mapped to the 4+1 Layer AI Infrastructure Model | | HPE AI-Native Infrastructure Assessment | https://layer2c.web.app/assessment/hpe | Mapped to the 4+1 Layer AI Infrastructure Model | | IBM / Red Hat OpenShift AI Assessment | https://layer2c.web.app/assessment/ibm | Mapped to the 4+1 Layer AI Infrastructure Model | | NVIDIA AI Platform Assessment | https://layer2c.web.app/assessment/nvidia | A Components Company Becoming a Platform Vendor — Mapped to the 4+1 Layer AI Infrastructure Model | | Oracle Cloud Infrastructure (OCI) AI Infrastructure Assessment | https://layer2c.web.app/assessment/oci | Mapped to the 4+1 Layer AI Infrastructure Model | | Palantir AIP + Foundry + Apollo Assessment | https://layer2c.web.app/assessment/palantir | Mapped to the 4+1 Layer AI Infrastructure Model | | VAST AI Operating System Assessment | https://layer2c.web.app/assessment/vast | Mapped to the 4+1 Layer AI Infrastructure Model | | VMware Private AI Foundation with NVIDIA Assessment | https://layer2c.web.app/assessment/vmware | Mapped to the 4+1 Layer AI Infrastructure Model | ## Plain-Text Mirrors | Resource | URL | Contents | |---|---|---| | llms.txt (this file) | https://layer2c.web.app/llms.txt | Index of all assessments with summaries | | llms-full.txt | https://layer2c.web.app/llms-full.txt | Complete layer-by-layer data for all vendors | | home.md | https://layer2c.web.app/home.md | Plain-text homepage — vendor table, framework overview, navigation | | AWS AI Infrastructure (markdown) | https://layer2c.web.app/assessment/aws.md | Full assessment in markdown | | Microsoft Azure AI Infrastructure (markdown) | https://layer2c.web.app/assessment/azure.md | Full assessment in markdown | | Cisco Secure AI Factory with NVIDIA (markdown) | https://layer2c.web.app/assessment/cisco.md | Full assessment in markdown | | Dell AI Factory with NVIDIA (markdown) | https://layer2c.web.app/assessment/dell.md | Full assessment in markdown | | Google Cloud AI Infrastructure (markdown) | https://layer2c.web.app/assessment/gcp.md | Full assessment in markdown | | HPE AI-Native Infrastructure (markdown) | https://layer2c.web.app/assessment/hpe.md | Full assessment in markdown | | IBM / Red Hat OpenShift AI (markdown) | https://layer2c.web.app/assessment/ibm.md | Full assessment in markdown | | NVIDIA AI Platform (markdown) | https://layer2c.web.app/assessment/nvidia.md | Full assessment in markdown | | Oracle Cloud Infrastructure (OCI) AI Infrastructure (markdown) | https://layer2c.web.app/assessment/oci.md | Full assessment in markdown | | Palantir AIP + Foundry + Apollo (markdown) | https://layer2c.web.app/assessment/palantir.md | Full assessment in markdown | | VAST AI Operating System (markdown) | https://layer2c.web.app/assessment/vast.md | Full assessment in markdown | | VMware Private AI Foundation with NVIDIA (markdown) | https://layer2c.web.app/assessment/vmware.md | Full assessment in markdown |