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Silicon Valley · Cloud & AI Ecosystem

Colocation Bay Area

Colocation Bay Area spans the world's densest cloud and AI ecosystem. Equinix's Great Oaks campus at 3030 Corvin Drive (SV14-SV17) connects to 260+ networks. CoreSite SV9 is NVIDIA DGX-Ready. Digital Realty operates 60 MW at 2220 De La Cruz Blvd.

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260+
Networks
60MW
De La Cruz
DGX
NVIDIA Ready
17
Equinix Sites

Bay Area / Silicon Valley Market Overview

Colocation Bay Area covers the world's densest cloud and AI ecosystem — Santa Clara, San Jose and Milpitas. Equinix's Great Oaks campus (3030 Corvin Drive, SV14-SV17) connects to 260+ networks. Power-constrained, premium-priced, AI-anchored.

Featured Options

Compare available capacity in the bay area / silicon valley market

Sponsored

Santa Clara Cloud Ecosystem

Santa Clara — Great Oaks

Equinix's Great Oaks campus (SV14-SV17) connects to 260+ networks. Direct AWS, GCP, Azure on-ramps. Premium pricing reflects ecosystem density.

99.999% SLA260+ NetworksEquinix Fabric
SOC 2PCI DSS
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Sponsored

NVIDIA DGX-Ready AI Campus

Santa Clara / San Jose

CoreSite SV9 — NVIDIA DGX-Ready certified. Power, cooling and interconnection optimised for high-density AI/ML workloads.

NVIDIA DGX-Ready50-100 kW RacksGPU Ready
NVIDIA DGXSOC 2
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Sponsored

Hyperscale Wholesale

Santa Clara Hyperscale Corridor

Digital Realty 2220 De La Cruz (60 MW), CyrusOne, Vantage, QTS. 1MW+ footprints. Best for AI training and large enterprise.

2N Power1MW+GPU Ready
SOC 2ISO 27001
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Indicative Pricing

Market rates (2026)

Full Cabinet — Santa Clara Premium$2,200–$4,500/mo
Full Cabinet — 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

Frequently Asked Questions

Why is the Bay Area the densest cloud and AI ecosystem?
Santa Clara hosts NVIDIA, Intel, AMD, Marvell HQs. AWS US-West-1, GCP us-west2, Azure West US all anchor here. Equinix Great Oaks connects to 260+ networks. Network effects compound — every cloud, content and AI provider wants Bay Area presence.
Why is Santa Clara colocation power-constrained?
Santa Clara's grid has been at or near capacity for years, leading to multiple moratoriums on new builds. Land is scarce. AI demand is driving densities to 50-100 kW per rack. Result: premium pricing, waitlists, and operators increasingly building outside Santa Clara (Reno, Phoenix, Hillsboro).
CoreSite SV9 — what's special?
NVIDIA DGX-Ready certified — power, cooling and interconnection optimised for AI/ML. Limited capacity available given AI demand. Premium pricing but unique fit for tenants needing NVIDIA-certified AI infrastructure.
Bay Area or alternatives — when?
Bay Area when you need physical proximity to cloud providers, NVIDIA/Intel/AMD ecosystem, or 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 bulk infrastructure cheaper elsewhere.
How do I get a Bay Area colocation quote?
Take the assessment. Given Santa Clara capacity constraints, we'll surface availability across Santa Clara plus alternative West Coast options where appropriate.

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