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Silicon Valley · Cloud & AI Ecosystem

Bay Area Colocation Space

The world's densest cloud and AI ecosystem. Santa Clara is the anchor — Equinix's Great Oaks campus (3030 Corvin Drive, SV14-SV17) connects to 260+ networks. Digital Realty 2220 De La Cruz (60 MW, 360,000 sq ft), CoreSite SV9 (NVIDIA DGX-Ready) and major hyperscale wholesale capacity. Power-constrained, premium-priced.

Bay Area Colocation Capacity →
260+
Networks at Great Oaks
60MW
Digital Realty De La Cruz
DGX
NVIDIA Ready (SV9)
17
Equinix Sites

Major Bay Area / Silicon Valley Operators

The world's densest cloud and AI ecosystem

Equinix
SV1-SV17 — largest campus at 3030 Corvin Drive (SV14-SV17, Great Oaks)
Digital Realty
2220 De La Cruz (60 MW, 360,000 sq ft) + 1100 Space Park Dr (18 MW)
CoreSite (American Tower)
Milpitas / San Jose / Santa Clara — SV9 NVIDIA DGX-Ready
CyrusOne
Santa Clara — large enterprise & hyperscale campus
Vantage Data Centers
Santa Clara hyperscale presence
QTS / Blackstone
Santa Clara hyperscale expansion
EdgeConneX
Edge facilities across Bay Area

Featured Bay Area Colocation Options

The world's most concentrated cloud and AI ecosystem — Santa Clara at the centre

Sponsored

Santa Clara Cloud Ecosystem

Santa Clara — Great Oaks / De La Cruz

Equinix's Great Oaks campus (SV14-SV17 at 3030 Corvin Drive) connects to 260+ networks, cloud and content providers. Direct access to AWS US-West-1, GCP us-west2 and Azure West US.

99.999% SLA2N Power260+ Networks
SOC 2PCI DSSISO 27001
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Sponsored

NVIDIA DGX-Ready AI Campus

Santa Clara / San Jose

CoreSite SV9 is certified as part of NVIDIA's DGX-Ready Data Center program — providing power, cooling and interconnection optimised for high-density AI/ML workloads.

2N PowerNVIDIA DGX-Ready50-100 kW Racks
NVIDIA DGXSOC 2ISO 27001
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Sponsored

Hyperscale Wholesale

Santa Clara Hyperscale Corridor

Wholesale and large-format capacity for tenants needing 1MW+. Digital Realty 2220 De La Cruz (60 MW), CyrusOne, Vantage and QTS all anchor wholesale demand.

2N Power1MW+ FootprintsGPU Ready
SOC 2ISO 27001PUE <1.4
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Bay Area Colocation Pricing

Indicative Santa Clara / Bay Area rates (2026). Premium pricing reflects power constraints and AI-driven demand.

Full Cabinet (42U) — Santa Clara Premium$2,200–$4,500/mo
Full Cabinet (42U) — Bay Area Standard$1,500–$2,800/mo
Power (per kW)$280–$520/kW/mo
Cross-Connect$300–$650/mo
Equinix Fabric / Cloud On-Ramp$500–$1,400/mo

Bay Area Colocation FAQs

Why is Santa Clara the centre of Bay Area colocation?
Santa Clara hosts the headquarters of NVIDIA, Intel, AMD and Marvell, and is the natural landing point for the world's largest cloud and AI ecosystem. Equinix's Great Oaks campus (SV14-SV17) connects to 260+ networks. Power is constrained — Santa Clara has experienced multiple grid-capacity-driven moratoriums on new builds — making available capacity premium.
What is Equinix Great Oaks?
Equinix's largest Silicon Valley campus, located at 3030 Corvin Drive, Santa Clara. Includes SV14, SV15, SV16 and SV17. Provides connectivity to 260+ networks, cloud service providers, content companies and social media platforms — making it the densest interconnection hub in the Bay Area.
Where does AI infrastructure sit in the Bay Area?
CoreSite's SV9 is NVIDIA DGX-Ready certified — power, cooling and interconnection optimised for high-density AI/ML workloads. Several Santa Clara wholesale operators (Vantage, QTS, CyrusOne) host AI-specific deployments at 50-100 kW per rack densities. For massive AI training campuses, operators are increasingly building outside Santa Clara (Reno, Phoenix, Hillsboro) due to power constraints.
What are the Bay Area's main constraints?
Power. Santa Clara's grid has been at or near capacity for years, leading to moratoriums on new builds and premium pricing for existing capacity. Land is also scarce and expensive. The combined effect: Bay Area colocation pricing sits at the top end of the US market, particularly for AI-density deployments.
When should I pick Bay Area vs alternatives?
Bay Area wins when you need physical proximity to cloud providers (AWS US-West-1, GCP us-west2, Azure West US), the AI/ML ecosystem (NVIDIA, Intel, AMD), or low-latency to West Coast tech HQs. Phoenix, Reno, Hillsboro, Salt Lake City offer better economics for capacity that doesn't need this proximity. Many enterprises run a "cloud-on-ramp pod" in Santa Clara plus their bulk infrastructure in a cheaper market.
How do I get a Bay Area colocation quote?
Take the free 2-minute assessment to specify cabinet count, power density (especially for AI workloads), interconnection requirements and timeline. Given Bay Area capacity constraints, we'll surface availability across Santa Clara plus alternative West Coast options where appropriate.

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