{"resourceId":"internet2-cisco-ai-pods-national-research-platform-unl-sacramento-state-20260922","versions":[{"version":"external-1923c6450cd6c9899c9e30fd9f0d17cbd677eaec9e3a04385579a49bf06cab20","resource":{"id":"internet2-cisco-ai-pods-national-research-platform-unl-sacramento-state-20260922","title":"Internet2 and Cisco deploy two Cisco AI PODs at the University of Nebraska-Lincoln and Sacramento State as shared GPU capacity for the National Research Platform","organization":"Internet2 with Cisco; University of Nebraska-Lincoln; California State University, Sacramento","sector":"Higher education / research computing infrastructure","geography":"United States (Nebraska, California; national research platform)","publishedAt":"Internet2 news release, Sept. 22, 2026","publicationDate":"2026-09-22","eventDate":null,"sourceName":"Internet2","sourceLabel":"Internet2 & Cisco Add AI Capacity to the National Research Platform","sourceUrl":"https://internet2.edu/internet2-and-cisco-add-ai-capacity-to-the-national-research-platform/","evidenceClass":"public-sector-association","outcomeClass":"emerging","topics":["infrastructure","operating-model"],"finding":"Internet2, through its industry relationship with Cisco, supported deployment of Cisco AI PODs at the University of Nebraska-Lincoln and Sacramento State that join the NSF-supported National Research Platform (NRP), a community-operated pool of compute contributed by over 70 organizations and run as one Kubernetes fabric (Nautilus). Combined, the two PODs provide 8 NVIDIA H200 GPUs with 1.1 TB of GPU memory, 128 CPU cores, 2 TB of system memory and 90 TB of NVMe flash; each site has one Cisco UCS C845A M8 chassis and a BlueField-3 DPU with up to 2x200 Gbps to campus and national R&E networks. Internet2 says the pre-validated design reduces integration risk and setup time and is a repeatable model for other contributors. No utilization, performance or cost figures are reported.","sledRelevance":"Shows a concrete public higher-ed path for Cisco AI infrastructure: small, standardized GPU nodes contributed to a shared research platform rather than each campus building its own cluster. Relevant to research universities and regional/state universities with limited budgets.","evidence":"Opened the Internet2 release and read it in full, including the hardware list and the description of NRP and Internet2 network contributions. It is a joint-relationship announcement, so claims about reduced integration risk are the parties’ own and are not measured.","architectureImplications":"Pre-validated UCS plus Nexus plus Intersight nodes are designed to slot into a multi-region Kubernetes fabric; high-bandwidth R&E connectivity and data caches (OSDF nodes) are part of the design, not optional extras.","governanceImplications":"Capacity is pooled and community-operated, so allocation, priority between local and platform users, and acceptable-use rules sit with NRP and host campuses; the release does not describe them.","securityPrivacyImplications":"Not addressed; shared multi-tenant research compute requires campus review of what data classes (e.g., controlled or regulated research data) may run on contributed nodes.","caveats":"Joint announcement by a member association and its industry partner; no independent evaluation, utilization data or cost. Published Sept. 22, 2026, before most items in this edition; included as the first cisco-stream baseline for research-computing deployments. Only 8 GPUs in total, so this is a modest increment.","streamIds":["cisco"],"roles":{"sales":"Sales framing: this is a public higher-ed deployment of Cisco AI PODs, but its value lies in the shared-platform model rather than the hardware alone. Research universities and regional state universities face GPU shortages and tight budgets. A bounded engagement could assess whether contributing a right-sized node to NRP or a state research network beats a standalone cluster. Do not claim measured savings or utilization; Internet2 reports neither, and the hardware came through a strategic relationship.","engineering":"Engineering framing: the design pairs UCS C845A M8 GPU servers, Nexus networking, Intersight management and BlueField-3 DPUs with 2x200 Gbps paths to R&E networks, then joins a Kubernetes fabric. Pre-sales should confirm campus uplink capacity, Kubernetes skills and NRP onboarding requirements before sizing. A proof of value would measure job wait times and data-transfer throughput on a pilot node against current campus resources, because the release offers no performance data.","delivery":"Delivery framing: delivery is a hosted-node operation, not a one-time install: rack, power, cooling, Intersight management and NRP integration, then ongoing support for external researchers. The operational owner is the campus research computing group with central IT networking. Proposed acceptance criteria: the node joins the fabric, hits agreed availability, and reports usage monthly. Main risk: local users expecting priority on hardware that is pooled nationally."},"roleDetails":{"sales":{"customerProblem":"Campus researchers lack GPU capacity, and budgets cannot fund large standalone clusters.","stakeholders":["Research computing directors","CIOs","Vice presidents for research","State or regional R&E network operators"],"discoveryQuestions":["How often do local GPU queues exceed capacity today?","Is the campus already connected to NRP or a regional R&E network at 100G or more?","Who would operate and support a hosted node?"],"valueHypothesis":"Contributing a standardized node to a shared platform may give researchers access to more capacity than a single small cluster.","potentialEngagement":"Feasibility assessment for contributing a node to NRP or a state research network.","unsupportedClaims":["Measured cost savings","Utilization or performance gains","That other campuses get the same hardware terms"]},"engineering":{"fit":"Fits research universities with existing R&E connectivity and Kubernetes skills.","architectureIntegration":"UCS GPU servers, Nexus switching, Intersight management, BlueField-3 DPU links into the Nautilus Kubernetes fabric.","prerequisites":["High-bandwidth R&E uplink","Data center power and cooling for GPU servers","Kubernetes operations skills"],"constraints":["Only 8 GPUs across two sites","No published performance or utilization data","Pooled capacity limits local priority"],"security":"Classify which research data may run on shared nodes; regulated data needs separate controls.","proofOfValue":["Measure job wait time before and after","Measure throughput to data caches","Track monthly utilization by local versus external users"]},"delivery":{"work":"Install, integrate with NRP and support a hosted GPU node.","dependencies":["NRP onboarding","Campus network upgrades","Facilities power and cooling"],"ownership":"Campus research computing group with central IT networking","skillsAdoption":"Research computing staff need Kubernetes and Intersight skills; researchers need onboarding to the shared platform.","governanceCheckpoints":["Data classification review before joining","Agreement on local versus platform priority","Annual usage review"],"acceptanceCriteria":["Node joins the fabric and passes health checks","Availability target agreed and met","Monthly usage report shared with research office"],"risks":["Local users expect priority on pooled hardware","Hidden power and support costs","Small capacity relative to demand"]}},"retrievedAt":"2026-10-30T03:11:35Z","enrichedAt":"2026-10-30T03:18:21Z","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Framed as narrowing cyberinfrastructure gaps between institutions; does not quantify how many researchers or students use the new capacity.","procurementImplications":"Hardware was directed through Internet2’s industry relationship with Cisco; the release does not state cost or whether campuses paid. Other campuses should not assume equivalent terms.","operatingModelImplications":"Host campuses operate hardware that serves external users, which needs agreed support, maintenance and power responsibilities.","sourceVerification":{"openedUrl":"https://internet2.edu/internet2-and-cisco-add-ai-capacity-to-the-national-research-platform/","referenceExcerpt":"The AI PODs add GPU capacity that researchers across the platform can burst into when local resources run short.","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}