{"resourceId":"emerald-ai-hillsboro-dsx-flex-demo-20260316","versions":[{"version":"external-47677170757a3e9d1f674382b7d41fc924adb86ebc567db1e01896797e228fcc","resource":{"id":"emerald-ai-hillsboro-dsx-flex-demo-20260316","title":"Emerald AI Hillsboro demo: full DSX Flex/Max-Q stack with utility dispatch scenarios","organization":"Emerald AI (with NVIDIA, Portland General Electric, EPRI)","sector":"AI data-center power flexibility / grid integration","geography":"United States (Hillsboro, Oregon; path to Manassas, VA)","publishedAt":"March 16, 2026","publicationDate":"2026-03-16","eventDate":"2026-03-16","sourceName":"Emerald AI Blog","sourceLabel":"Partner press / technical milestone announcement","sourceUrl":"https://www.emeraldai.co/blog/emerald-ai-nvidia-dsx-flex-ai-factories","evidenceClass":"vendor-claim","outcomeClass":"emerging","topics":["infrastructure","operating-model","governance-procurement"],"finding":"Emerald AI announced a Hillsboro, Oregon demonstration with NVIDIA, PGE, and EPRI integrating Emerald Conductor with the full NVIDIA DSX stack (including DSX Flex and DSX Max-Q) on Grace Blackwell Ultra clusters. PGE issued utility-style dispatch across scenarios: ~20% curtailment for freezing-rain/heating spikes; 25%+ curtailment across multi-day heat-dome re-enactments (6+ hour events over three days); a sustained 24-hour emergency response; and CAISO price-signal economic dispatch—while claiming priority workload performance was maximized under constraints. Positions the demo as the fifth live commercial-DC milestone toward a first commercial-scale DSX Flex deployment at NVIDIA’s planned 96 MW Vera Rubin AI Factory Research Center in Manassas, VA, and cites an aspirational “up to 100 GW” U.S. grid-capacity unlock.","sledRelevance":"Why now: prior Sep editions covered AEMA/Flex narratives and Lambda MaxLPS densification; this partner primary adds full-stack DSX Flex+Max-Q integration details and concrete curtailment percentages useful for SLED facilities/utility interconnection talks—without proving campus-scale results. Gov/Ed sites near constrained feeders may explore flex as interconnection strategy, not as guaranteed capacity.","evidence":"Dispatch scenarios with stated 20%, 25%+, and 24-hour responses; London precursor claimed >1/3 demand cut in under a minute on Blackwell Ultra; Nature Energy peer-reviewed Phoenix trial referenced; Manassas 96 MW commercial target named.","architectureImplications":"Requires grid-signal ingestion, workload priority hierarchy, DSX Flex/Max-Q (or equivalent) power controls, and telemetry across GPUs/racks—not only static UPS/diesel planning.","governanceImplications":"Utility program participation and community affordability claims need contractual clarity on who can interrupt which workloads and how SLOs are protected.","securityPrivacyImplications":"Grid orchestration becomes a control-plane trust boundary; source does not detail adversarial robustness of dispatch channels.","caveats":"Partner/vendor announcement; Hillsboro scale not MW-class in independent Volts commentary; 100 GW figure is system-level aspiration, not measured unlock; dated March 2026 but newly relevant to Sep Flex commercialization thread.","streamIds":["nvidia"],"roles":{"sales":"Position Flex as an interconnection and community-affordability conversation starter with utilities—not a promise of free megawatts. Use Hillsboro scenario percentages as demo evidence and immediately bound them as sub-commercial-scale. Ask about feeder constraints and which workloads are interruptible.","engineering":"Fit where AI factories can classify jobs by flex priority and expose power telemetry to an orchestrator integrated with DSX Flex/Max-Q. Prerequisites: utility signal path, priority taxonomy, and SLO definitions for protected inference. Proof: meet dispatch targets without breaching priority latency/error budgets.","delivery":"Pilot with a utility partner on one constrained domain; document curtailment depths, durations, and protected-job SLOs. Ownership: facilities + AI platform + utility liaison. Risks: demo-scale extrapolation; unprotected “priority” labels; control-plane outages during grid events."},"roleDetails":{"sales":{"customerProblem":"Interconnection delays and community pressure around inflexible AI loads.","stakeholders":["facilities","utility relations","CIO","public affairs"],"discoveryQuestions":["Is the site interconnection-constrained?","Which workloads can flex for hours?","What utility program exists locally?"],"valueHypothesis":"Demonstrable flex may accelerate interconnection talks if curtailment depth/duration are contractually bounded.","potentialEngagement":"Joint utility tabletop + instrumented flex pilot on one hall.","unsupportedClaims":["100 GW unlocked for the buyer","24-hour flex with zero priority impact at any scale","Guaranteed faster interconnect"]},"engineering":{"fit":"Hyperscale/AI-factory sites with mixed training/inference; limited for always-on safety-critical only loads.","architectureIntegration":"Emerald/DSX Flex signal path → workload scheduler/power caps → Max-Q/DSX telemetry loop.","prerequisites":["job priority taxonomy","GPU/rack power telemetry","utility dispatch interface","SLO monitors"],"constraints":["Demo scale","Partner authorship","Scenario re-enactments not continuous production year"],"security":"Authenticate/authorize grid signals; protect orchestrator credentials.","proofOfValue":["Hit requested kW targets","Priority job SLOs hold","Audit trail of each event"]},"delivery":{"work":"Integrate orchestrator, run scripted curtailment drills, capture power and SLO traces.","dependencies":["utility","NVIDIA DSX stack access","workload owners"],"ownership":"Facilities operations with platform SRE.","skillsAdoption":"Ops need grid-event runbooks alongside GPU ops.","governanceCheckpoints":["Written interruptibility policy","Community/regulatory review","No capacity planning on 100 GW slogan"],"acceptanceCriteria":["Dispatch compliance logged","Priority SLO breaches = fail","Rollback to firm mode tested"],"risks":["Overstated scale","Hidden priority degradation","Signal spoofing"]}},"retrievedAt":"2026-09-21T03:16:10Z","enrichedAt":"2026-09-21T03:24:09Z","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Grid flex may protect residential rates (claimed) but can interrupt research/batch jobs—communicate impacts to academic users.","procurementImplications":"May affect utility agreements and site selection RFPs; not a software SKU purchase alone.","operatingModelImplications":"Introduces shared ops between AI platform and utility demand-response processes.","sourceVerification":{"openedUrl":"https://www.emeraldai.co/blog/emerald-ai-nvidia-dsx-flex-ai-factories","referenceExcerpt":"This demonstration showcased Emerald AI software integrated with the full NVIDIA DSX software stack, including DSX Flex and DSX Max-Q","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}