HPE/Juniper
Analysis: Cisco, HPE/Juniper, and Nvidia network equipment for AI data centers
Both telecom and enterprise networks are being reshaped by AI bandwidth and latency demands of AI. Network operators that fail to modernize architectures risk falling behind. Why? AI workloads are network killers — they demand massive east-west traffic, ultra-low latency, and predictable throughput.
- Real-time observability is becoming non-negotiable, as enterprises need to detect and fix issues before they impact AI model training or inference.
- Self-driving networks are moving from concept to reality, with AI not just monitoring but actively remediating problems.
- The competitive race is now about who can integrate AI into networking most seamlessly — and HPE/Juniper’s Mist AI, Cisco’s assurance stack, and Nvidia’s AI fabrics are three different but converging approaches.
Cisco, HPE/Juniper, and Nvidia are designing AI-optimized networking equipment, with a focus on real-time observability, lower latency and increased data center performance for AI workloads. Here’s a capsule summary:
Cisco: AI-Ready Infrastructure:
- Cisco is embedding AI telemetry and analytics into its Silicon One chips, Nexus 9000 switches, and Catalyst campus gear.
- The focus is on real-time observability via its ThousandEyes platform and AI-driven assurance in DNA Center, aiming to optimize both enterprise and AI/ML workloads.
- Cisco is also pushing AI-native data center fabrics to handle GPU-heavy clusters for training and inference.
- Cisco claims “exceptional momentum” and leadership in AI: >$800M in AI infrastructure orders taken from web-scale customers in Q4, bringing the FY25 total to over $2B.
- Cisco Nexus switches now fully and seamlessly integrated with NVIDIA’s Spectrum-X architecture to deliver high speed networking for AI clusters
HPE + Juniper: AI-Native Networking Push:
- Following its $13.4B acquisition of Juniper Networks, HPE has merged Juniper’s Mist AI platform with its own Aruba portfolio to create AI-native, “self-driving” networks.
- Key upgrades include:
-Agentic AI troubleshooting that uses generative AI workflows to pinpoint and fix issues across wired, wireless, WAN, and data center domains.
-Marvis AI Assistant with enhanced conversational capabilities — IT teams can now ask open-ended questions like “Why is the Orlando site slow?” and get contextual, actionable answers.
-Large Experience Model (LEM) with Marvis Minis — digital twins that simulate user experiences to predict and prevent performance issues before they occur.
-Apstra integration for data center automation, enabling autonomous service provisioning and cross-domain observability
Nvidia: AI Networking at Compute Scale
- Nvidia’s Spectrum-X Ethernet platform and Quantum-2 InfiniBand (both from Mellanox acquisition) are designed for AI supercomputing fabrics, delivering ultra-low latency and congestion control for GPU clusters.
- In partnership with HPE, Nvidia is integrating NVIDIA AI Enterprise and Blackwell architecture GPUs into HPE Private Cloud AI, enabling enterprises to deploy AI workloads with optimized networking and compute together.
- Nvidia’s BlueField DPUs offload networking, storage, and security tasks from CPUs, freeing resources for AI processing.
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Here’s a side-by-side comparison of how Cisco, HPE/Juniper, and Nvidia are approaching AI‑optimized enterprise networking — so you can see where they align and where they differentiate:
| Feature / Focus Area | Cisco | HPE / Juniper | Nvidia |
|---|---|---|---|
| Core AI Networking Vision | AI‑ready infrastructure with embedded analytics and assurance for enterprise + AI workloads | AI‑native, “self‑driving” networks across campus, WAN, and data center | High‑performance fabrics purpose‑built for AI supercomputing |
| Key Platforms | Silicon One chips, Nexus 9000 switches, Catalyst campus gear, ThousandEyes, DNA Center | Mist AI platform, Marvis AI Assistant, Marvis Minis, Apstra automation | Spectrum‑X Ethernet, Quantum‑2 InfiniBand, BlueField DPUs |
| AI Integration | AI‑driven assurance, predictive analytics, real‑time telemetry | Generative AI for troubleshooting, conversational AI for IT ops, digital twin simulations | AI‑optimized networking stack tightly coupled with GPU compute |
| Observability | End‑to‑end visibility via ThousandEyes + DNA Center | Cross‑domain observability (wired, wireless, WAN, DC) with proactive issue detection | Telemetry and congestion control for GPU clusters |
| Automation | Policy‑driven automation in campus and data center fabrics | Autonomous provisioning, AI‑driven remediation, intent‑based networking | Offloading networking/storage/security tasks to DPUs for automation |
| Target Workloads | Enterprise IT, hybrid cloud, AI/ML inference & training | Enterprise IT, edge, hybrid cloud, AI/ML workloads | AI training & inference at hyperscale, HPC, large‑scale data centers |
| Differentiator | Strong enterprise install base + integrated assurance stack | Deep AI‑native operations with user experience simulation | Ultra‑low latency, high‑throughput fabrics for GPU‑dense environments |
Key Takeaways:
- Cisco is strongest in enterprise observability and broad infrastructure integration.
- HPE/Juniper is leaning into AI‑native operations with a heavy focus on automation and user experience simulation.
- Nvidia is laser‑focused on AI supercomputing performance, building the networking layer to match its GPU dominance.
- Cisco leverages its market leadership, customer base and strategic partnerships to integrate AI with existing enterprise networks.
- HPE/Juniper challenges rivals with an AI-native, experience-first network management platform.
- Nvidia aims to dominate the full-stack AI infrastructure, including networking.
Telco and IT vendors pursue AI integrated cloud native solutions, while Nokia sells point products
The move to AI and cloud native is accelerating amongst network equipment and IT vendors which have announced highly integrated smart cloud solutions designed to migrate their telco customers into a new and profitable cloud future. The Cloud Native Computing Foundation (CNCF), as the name suggests, is a vendor-neutral consortium dedicated to making cloud native ubiquitous. The group defines cloud native as a collection of “technologies [that] empower organizations to build and run scalable applications in modern, dynamic environments such as public, private and hybrid clouds. Containers, service meshes, microservices, immutable infrastructure and declarative APIs exemplify this approach.”
CNCF writes that the cloud native approach “enable[s] loosely coupled systems that are resilient, manageable and observable. Combined with robust automation, they allow engineers to make high-impact changes frequently and predictably with minimal toll.”
In particular, Ericsson, HPE/Juniper, Cisco, Huawei, ZTE, IBM, and Dell have all announced telco end to end solutions that provide a platform for new services and applications by integrating AI, automation, orchestration and APIs over cloud-native based infrastructure. Let’s look at each of those capabilities:
- AI (Artificial Intelligence): Leveraging AI capabilities allows telcos to automate processes, optimize network performance, and enhance customer experiences. By analyzing vast amounts of data, AI-driven insights enable better decision-making and predictive maintenance.
- Automation: Automation streamlines operations, reduces manual intervention, and accelerates service delivery. Whether it’s provisioning new network resources, managing security protocols, or handling routine tasks, automation plays a pivotal role in modern telco infrastructure.
- Orchestration: Orchestration refers to coordinating and managing various network functions and services. It ensures seamless interactions between different components, such as virtualized network functions (VNFs) and physical infrastructure. By orchestrating these elements, telcos achieve agility and flexibility.
- APIs (Application Programming Interfaces): APIs facilitate communication between different software components. In the telco context, APIs enable interoperability, allowing third-party applications to interact with telco services. This openness encourages innovation and the development of new applications.
- Cloud-Native Infrastructure: Moving away from traditional monolithic architectures, cloud-native infrastructure embraces microservices, containerization, and scalability. Telcos are adopting cloud-native principles to build resilient, efficient, and adaptable networks.
While each company has its unique approach, the overarching goal is to empower telcos to deliver cutting-edge services, enhance network performance, and stay competitive in an ever-evolving industry. These advancements pave the way for exciting possibilities in the telecommunications landscape. When fully integrated, these technologies will enable the creation of smart cloud networks that can run themselves without human involvement and do so less expensively — but also more efficiently, responsively and securely than anything that exists today.
Our esteemed UK colleague Stephen M Saunders, MBE (Member of the Order of the British Empire– more below) notes that Nokia is not embracing smart cloud telco solutions, but is instead focusing on individual products. Last October, the company announced strategic and operational changes to its business model and divided the company into four business units. At that time, Nokia’s President and CEO Pekka Lundmark said:
“We continue to believe in the mid to long term attractiveness of our markets. Cloud Computing and AI revolutions will not materialize without significant investments in networks that have vastly improved capabilities. However, while the timing of the market recovery is uncertain, we are not standing still but taking decisive action on three levels: strategic, operational and cost. First, we are accelerating our strategy execution by giving business groups more operational autonomy. Second, we are streamlining our operating model by embedding sales teams into the business groups and third, we are resetting our cost-base to protect profitability. I believe these actions will make us stronger and deliver significant value for our shareholders.”
Steve says Nokia’s new divide-and-conquer strategy is being reinforced at its sales meetings, according to an attendee at one such gathering this year, with sales reps being urged to laser-focus on selling point products.
“The telco capex situation at the moment means Nokia — and others — have no choice but to examine every aspect of their business to work out how to adjust for a future CSP market that is itself going through dramatic change,” said Jeremiah Caron, global head of research and analysis at market research firm GlobalData Technology.
Most telcos are increasingly adopting cloud-native technologies to meet the demands of 5G SA core networks and to better automate their services.. However, some telcos are hesitant to fully embrace cloud-native due to concerns about complexity, cost, and reliability. Other challenges of cloud native are: changing the software development life cycle, privacy and security, guaranteeing end to end latency, and cloud vendor lock-in due to a lack of standards (every cloud vendor has their own proprietary APIs and network access configurations.
References:
https://www.silverliningsinfo.com/multi-cloud/report-smart-cloud-and-coming-paradigm-shift
https://www.fiercewireless.com/5g/op-ed-whither-nokia
Building and Operating a Cloud Native 5G SA Core Network
Omdia and Ericsson on telco transitioning to cloud native network functions (CNFs) and 5G SA core networks
https://www.ericsson.com/en/ran/intelligent-ran-automation/intelligent-automation-platform
https://www.huaweicloud.com/intl/en-us/solution/telecom/cloud-native-development-platform.html
https://sdnfv.zte.com.cn/en/solutions/VNF/5G-core-network/cloud-native
https://www.ibm.com/products/cloud-pak-for-network-automation
https://www.dell.com/en-us/dt/industry/telecom/index.htm#tab0=0
Steve Saunders (a.k.a. Silverlinings‘ Sky Captain), is a British-born communications analyst, investor, and digital media entrepreneur. In 2018 he was awarded an MBE in the Queen’s Birthday Honours List for services to the telecommunications industry and business.
