What is ServiceNow data-center strategy through 2027?

Direct Answer

ServiceNow's 2026-27 data-center strategy is three-pronged: (1) hyperscaler primary on AWS + Azure + GCP for region breadth and elastic GPU capacity, (2) sovereign cloud builds in EU/UK/Saudi/India/Australia to clear regulator-driven RFP gates, and (3) named GPU partnerships (NVIDIA Blackwell + AWS Trainium2) to host Now LLM and AI Agent Studio inference at a unit cost that doesn't blow up gross margin. Every region decision is a cost-vs-compliance tradeoff: each new sovereign region adds 50-150bps of GM drag for ~12-18 months until utilization catches up, which is why CFO Gina Mastantuono keeps repeating "infrastructure leverage" on earnings calls. The owned-DC footprint is being held flat (Toronto, Amsterdam, San Jose, Equinix sites) while net-new capacity goes to hyperscaler regions and a small number of sovereign builds. The Workflow Data Fabric and RaptorDB sit on this hybrid stack, with data residency enforced per-tenant via region pinning. By FY27, expect ~70% of net-new capacity on hyperscalers, ~25% on sovereign clouds, ~5% owned.

The Footprint Today

AWS regions (primary hyperscaler):

• us-east-1, us-east-2, us-west-2 (commercial US)
• AWS GovCloud (US-East, US-West) for FedRAMP High + DoD IL5
• eu-west-1 (Ireland), eu-central-1 (Frankfurt), eu-west-2 (London)
• ap-southeast-2 (Sydney), ap-northeast-1 (Tokyo), ap-south-1 (Mumbai)
• Trainium2 capacity in us-east-2 for Now LLM inference

Azure regions:

• East US, West US 2 for commercial multi-cloud customers
• Azure Government (US Gov Virginia, US Gov Texas) for FedRAMP High parity
• UK South for UK GovCloud workloads
• Germany West Central for EU sovereign-adjacent

GCP regions:

• us-central1, us-east4 for commercial spillover + GenAI co-location
• europe-west4 (Netherlands) for EU multi-cloud
• Smaller footprint than AWS/Azure, used selectively for AI workloads

Sovereign cloud regions:

• Germany sovereign cloud (BSI C5 + future EUCS)
• France SecNumCloud-aligned (via partner)
• UK GovCloud High (live, MOD-eligible)
• Saudi Arabia (PIF / Vision 2030 alignment, Riyadh)
• India (MeitY-empaneled, Mumbai + Hyderabad)
• Australia IRAP PROTECTED (Canberra + Sydney)

Owned data centers (held flat):

• San Jose, CA (HQ-adjacent, legacy)
• Toronto, ON (Canadian residency)
• Amsterdam, NL (legacy EU)
• Equinix colos in 8+ metros for low-latency edge

What Drives Expansion 2026-28

• Sovereign cloud regulations — EUCS (EU Cloud Services scheme) finalization, UK NCSC guidance, Saudi NCA cloud framework, India DPDP Act enforcement, Australia Hosting Certification Framework refresh
• FedRAMP High demand — DoD IL5 and IL6 RFPs increasingly require ServiceNow as ITSM standard; capacity in AWS GovCloud + Azure Gov is the gating factor on bookings
• GPU capacity for Now LLM inference — Now Assist + AI Agent Studio inference is doubling QoQ; NVIDIA Blackwell H200/B200 contracts and AWS Trainium2 commits go out 18-24mo
• Named-customer requirements — Deutsche Bank, BMW, Saudi Aramco, BHP, Tata Consultancy Services all driving region-specific buildouts as deal conditions
• Workflow Data Fabric residency — federated query across customer-owned data lakes requires per-region presence to keep query plans inside sovereign boundaries
• AI Control Tower telemetry — agent observability data is high-volume and sticky; needs regional capacity to avoid egress costs

The Sovereign Cloud Strategy

• Germany sovereign cloud — BSI C5 Type 2 attested today; positioning for EUCS "High" tier when finalized; Deutsche Telekom + SAP partnerships in play
• France SecNumCloud — partner-led delivery (via OVHcloud/Outscale), targets defense + intelligence accounts
• UK GovCloud High — MOD-cleared, used by HMRC, NHS Digital expansion, Ministry of Justice
• Saudi Arabia — Vision 2030 mandate, PIF investment alignment, Aramco + STC + Saudi Vision Realization Office deployments
• India MeitY DPDP — empaneled as cloud service provider; TCS, Infosys, HDFC, Reliance Jio as anchor tenants
• Australia IRAP PROTECTED — Defence + Home Affairs + ATO; Canberra-region buildout active
• Named-customer wins per region justify the GM drag during ramp

The GPU + AI Inference Strategy

• NVIDIA partnership — multi-year H200/B200 commit announced March 2024, expanded 2025 to include Blackwell Ultra; co-developed Now LLM with NVIDIA NIM microservices
• AWS Trainium2 adoption — second-source GPU strategy to reduce NVIDIA dependency; Now LLM 4o-class models being ported to Trainium2 for inference cost reduction
• GPU capacity planning — 18-24mo forward contracts; co-located in AWS us-east-2, Azure East US, and a small NVIDIA DGX Cloud footprint
• Now LLM hosting — exclusively on ServiceNow-controlled GPU pools (no third-party LLM hosting for customer data); inference latency target sub-300ms p95
• AI Agent Studio inference cost optimization — dynamic routing between Now LLM (cheap) and partner LLMs (Anthropic, OpenAI via private endpoint) based on task complexity

The Cost Discipline

• Each new sovereign region adds 50-150bps of GM drag for the first 12-18 months until utilization climbs above 60%
• Multi-cloud cost premium — Azure + GCP run roughly 8-15% more expensive than AWS-primary at equivalent capacity, justified only by customer concentration or sovereign requirement
• Sovereign cloud premium pricing — list price uplift of 20-35% on sovereign SKUs absorbs most of the infrastructure cost; net GM drag is the timing gap
• CFO Gina Mastantuono commentary — repeated framing on "infrastructure leverage as we scale Now Assist"; expect 50-100bps of GM expansion in FY27 from GPU utilization improvements
• Trainium2 substitution math — every 10% of Now LLM inference moved from H200 to Trainium2 saves an estimated 30-40% per-token cost

What's NOT In The Strategy

• No aggressive China expansion — geopolitical risk + data residency requirements make China-mainland a hard pass; Hong Kong via partner only
• No LATAM ex-Brazil sovereign cloud — Mexico, Argentina, Chile served from AWS us-east-1 + Sao Paulo; no dedicated sovereign builds planned through 2027
• No own-DC build-out beyond named existing sites — capex discipline; the Toronto/Amsterdam/San Jose footprint is held flat, all growth is hyperscaler
• No Oracle Cloud expansion — OCI not in the multi-cloud roadmap despite Oracle's GenAI push; ServiceNow staying on AWS/Azure/GCP triumvirate
• No edge-compute / on-prem appliance push — unlike Salesforce Data Cloud's Hyperforce-on-prem flirtation, ServiceNow is pure cloud; edge is partner territory

Region x Cloud Provider Status Matrix

Driver to Region to Outcome Flow

Bottom Line

ServiceNow's 2026-27 infrastructure strategy is disciplined multi-cloud hyperscaler-primary, with surgical sovereign-cloud builds where regulator gates justify the GM drag, and aggressive GPU dual-sourcing (NVIDIA + Trainium2) to keep Now Assist inference economics workable. The owned-DC footprint is frozen, capex is going to hyperscaler commits, and the named CFO commentary on "infrastructure leverage" telegraphs FY27 GM expansion as GPU utilization climbs. The differentiator vs. Salesforce/Workday isn't the footprint itself — it's the willingness to take 50-150bps of short-term GM pain for sovereign builds that unlock multi-year named-customer ARR. (see also: q1613, q1626, q1627)