San Francisco Colocation
Bay Area Data Centers, 2026 Pricing and Which Providers Fit AI and Enterprise Workloads
The Bay Area has the deepest AI and cloud ecosystem in the country and the highest colocation rates of any primary market. We find the facilities that fit, benchmark every quote, and negotiate the terms.
Price My Bay Area RequirementUpdated September 2026
San Francisco colocation means three different markets. San Francisco proper is two carrier hotels, 365 Main Street and 200 Paul Avenue, both Digital Realty, serving companies that need a city address or downtown latency. Silicon Valley, centered on Santa Clara and San Jose, holds most of the region's capacity, the Equinix campus with the deepest cloud and AI interconnection in the western United States, and the CoreSite, Digital Realty, DataBank and Colovore facilities. Sacramento and Reno are where new capacity is being built for Bay Area companies that need power and price more than they need the ecosystem. For most deployments the decision is which Silicon Valley building, not whether Silicon Valley.
Source: CBRE, North America Data Center Trends, H2 2025; Silicon Valley asking rates were unchanged in CBRE's H1 2026 update.
Silicon Valley and primary-market figures from CBRE. Sacramento and Reno are Metro Colo Advisory estimates applying typical market discounts to the Silicon Valley band, not published rates. Silicon Valley Power raised utility rates about 4 percent in January 2026; model the power line separately from the facility rate. Free to cite with a link to this page.
Three Submarkets, Three Different Answers
San Francisco proper
365 Main Street in SoMa and 200 Paul Avenue in the southeast of the city, both Digital Realty carrier hotels. They serve a specific need: a San Francisco address, dense legacy carrier access inside city limits, or low latency to downtown operations. The building stock is older, which limits density, and the city carries a real estate premium on top of Bay Area pricing. Be clear about what the city address is buying before paying for it.
Silicon Valley: Santa Clara and San Jose
The center of gravity. Santa Clara's municipal utility, Silicon Valley Power, has historically offered better rates and availability than PG&E, which is the single biggest reason capacity clustered here. The Equinix campus, CoreSite, Digital Realty, DataBank and Colovore are all within a few miles, and San Jose shares the same network topology. For most Bay Area workloads, the question is which building in this cluster.
Sacramento, Reno and the East Bay
Where capacity is being built. Sacramento, about 90 minutes northeast, has hyperscale campuses from Vantage, QTS and others, lower power costs and less wildfire exposure. Reno adds Nevada's tax treatment, abundant power and a cool climate. Fremont and San Leandro in the East Bay offer smaller, cheaper options without the Silicon Valley ecosystem. Growing companies increasingly split: Silicon Valley for latency-sensitive and ecosystem work, Sacramento or Reno for bulk compute and training.
Send the rack count, power, cloud connections and timeline. You'll hear back within 24 hours from the person who will run your search, with Silicon Valley, San Francisco and the alternatives compared.
Why the Bay Area Is a Different Market
AI defines demand
OpenAI, Anthropic, Google DeepMind, Meta, NVIDIA, Databricks, xAI and hundreds of AI startups are headquartered or run infrastructure here, and that concentration drives the fastest-growing colocation demand in the country. AI training needs high density (60 kW per rack and up, liquid cooling at rack scale), serious power, and connectivity to the clouds and GPU providers. Our AI and GPU colocation page covers what a facility has to deliver.
The Equinix Silicon Valley campus is unmatched
The largest concentration of interconnection in the western United States: direct on-ramps to AWS, Azure, Google Cloud, Oracle and IBM, plus connectivity to Google's and Meta's infrastructure and to GPU clouds including CoreWeave, Lambda and Together AI. For any workload that depends on cloud or AI ecosystem connectivity, it is usually where the evaluation starts.
Power is the binding constraint
PG&E delivery to Silicon Valley has become the bottleneck. Providers report multi-year waits for upgrades at existing facilities, and new hyperscale development has largely moved to Sacramento, Reno and Phoenix. A deployment above about 500 kW can wait six to eighteen months longer here than in a market with power. Timing decides more deals than price.
Wildfire, earthquakes and PSPS
PG&E Public Safety Power Shutoffs can cut grid power for days during fire conditions, and the region sits on the San Andreas and Hayward faults. Facilities run on generators through PSPS events, but Bay Area primaries usually pair with disaster recovery outside California entirely. See the disaster recovery guide.
Cloud repatriation is a Bay Area habit
Companies with $100,000 or more in monthly cloud spend increasingly move stable workloads to dedicated infrastructure. On the workloads that move, the saving typically runs 30 to 50 percent once every cost is counted, and far more for steady GPU inference. The cloud repatriation guide has the model.
The eyeball network is unique
The region's concentration of technology employees and consumers makes Bay Area edge presence valuable for content delivery, streaming and gaming, and that reach extends across San Francisco and the East Bay.
Bay Area Facility Comparison
Not every Bay Area facility fits every workload. The table covers the providers we place with directly, plus Colovore, which comes up in almost every high density evaluation.
| Facility | Best for | Density | Compliance | Pricing tier |
|---|---|---|---|---|
| Equinix Silicon Valley campusSanta Clara and San Jose, including the Great Oaks buildings | AI infrastructure, hybrid cloud, hyperscaler and GPU cloud connectivity, anything that needs maximum ecosystem access | High density at select buildings, with liquid cooling | SOC 2 Type II, extensive documentation | Premium; the highest in the region, justified by the ecosystem |
| Digital Realty Silicon ValleySanta Clara | Enterprise workloads, larger footprints, standard density with cloud connectivity | High density available | SOC 2 Type II, enterprise compliance program | Premium, competitive within Silicon Valley |
| Digital Realty 365 Main and 200 PaulSan Francisco | A San Francisco address, legacy carrier density, downtown latency | Standard; older buildings | SOC 2 Type II | Premium plus a city real estate premium |
| CoreSite Silicon ValleySanta Clara campus | Hybrid cloud with Open Cloud Exchange on-ramps to AWS, Azure, Google Cloud, Oracle and IBM | Standard, higher on request | SOC 2 Type II | Mid to premium |
| DataBank SFO15101 Lafayette Street, Santa Clara | Compliance-heavy mid-market workloads, interconnection near the Great Oaks ecosystem, standard density at better economics | Standard; about 10 kW per rack on air | SOC 1 and SOC 2, HIPAA, PCI DSS | Value; meaningfully below Equinix for comparable base infrastructure |
| ColovoreSanta Clara | GPU training at densities most retail colocation cannot support | 5 to more than 600 kW per rack, liquid cooling as the design premise | SOC 2 | Premium, priced per kilowatt of density |
Tiers are Metro Colo Advisory's read of the current market. Your deployment needs a competitive evaluation. We place with Equinix, Digital Realty, CoreSite and DataBank through their partner programs and bring Colovore into searches where density requires it.
Other operators in the market
Vantage Data Centers runs hyperscale campuses in Santa Clara and Sacramento for cloud providers and large wholesale tenants. QTS serves hyperscale demand in the Sacramento area for companies priced out of Silicon Valley or blocked by power. STACK Infrastructure and CyrusOne have Silicon Valley campuses, and Prime Data Centers, Element Critical, H5, Iron Mountain and Evocative serve enterprise and mid-market requirements. For large wholesale requirements we bring these operators into a search where they fit; the wholesale colocation guide covers how those leases differ. GPU clouds such as CoreWeave, Lambda and Together AI can substitute for or complement owned hardware; the GPU rental guide covers what they cost.
What Bay Area Workloads Actually Need
AI training and inference
Training needs 60 kW per rack and up, liquid cooling at rack scale, serious power and connectivity to the clouds and GPU providers. Inference runs at moderate density with tighter latency needs and often several regions. Equinix for ecosystem, Colovore for density, DataBank for compliance at value, Sacramento or Reno when Silicon Valley power or cost rules it out.
SaaS and technology companies
SOC 2 Type II facilities, documented controls, direct cloud on-ramps for hybrid architectures, and disaster recovery separated from California wildfire and earthquake risk.
Fintech and payments
PCI DSS, cross-connects to payment networks and banking partners, high availability, and banking-as-a-service compliance. The fintech colocation guide covers the details.
Media and content
The Silicon Valley eyeball network and direct connectivity to hyperscaler content infrastructure, for streaming, gaming and content delivery with heavy egress.
Biotech and healthcare
HIPAA business associate coverage, HITRUST-aligned controls, and California's genetic information privacy rules for genomics and clinical data. The HIPAA colocation guide covers the BAA side.
Hybrid cloud and repatriation
Production on dedicated infrastructure with customer-facing services or burst capacity in the cloud, joined by private connections to AWS us-west, Google us-west1 and Azure West US. The hybrid cloud guide covers the patterns.
What Bay Area Colocation Actually Costs
Silicon Valley asking rates run $180 to $275 per kW per month for a 250 to 500 kW requirement, against a primary-market average of about $196. That $95 spread is the widest published band of any primary market, and it is the difference between a legacy cabinet row in an older building and contiguous space in a modern hall. Three things drive the premium: power costs and constraints, real estate, and demand that keeps outrunning supply. Three things move your number:
Which building
Standard density in Silicon Valley is premium tier at every major provider. High density AI space at Equinix or Colovore carries a further premium for cooling and power. San Francisco proper adds a city premium on top.
Scale does not buy a discount here
CBRE notes that volume discounts for large tenants have been reduced or eliminated in Silicon Valley, and that 10 MW of contiguous space commands a premium because so little exists. Scale buys a shortlist of one or two buildings, not a lower rate.
Existing space versus a future phase
Confirm whether a quote is for space you can occupy or for capacity still being built. With 84 percent of construction preleased, the two price very differently, and only one of them has a date you can plan around.
Sacramento typically runs 25 to 40 percent below Silicon Valley and Reno 30 to 50 percent below, with better power availability in both. Cross-connects inside the Equinix campus are worth their cost for hybrid and AI workloads, because each one replaces a multi-provider architecture you would otherwise have to build. The colocation pricing guide covers what goes into a contract; we bring current benchmarks for Equinix, Digital Realty, CoreSite and DataBank, plus Sacramento and Reno alternatives, to every Bay Area evaluation.
Site and power feasibility, market studies and acquisition due diligence for developers and investors in this market, in writing at a fixed fee agreed before work starts. See data center consulting, powered land and data center valuation.
Compliance Frameworks for Bay Area Deployments
CCPA and CPRA
The strictest state privacy framework in the country, covering any company handling California resident data. Infrastructure needs documented data handling controls, breach notification and deletion capability.
SOC 2 Type II
Enterprise buyers expect it with facility-level controls. Every major Bay Area provider holds it; the question is scope.
HIPAA
Digital health, biotech and the region's hospital systems extend business associate obligations to their infrastructure providers.
PCI DSS
Stripe, Block, Marqeta, Brex and the payments cluster face PCI obligations that reach the facility.
California GIPA
Genetic information privacy rules for genomics companies, extending to where the data lives.
Export controls
AI companies with international operations increasingly separate infrastructure to meet export rules on advanced GPUs and models.
Bay Area companies serving national customers also carry New York DFS Part 500, Illinois BIPA, Virginia CDPA and other state rules. A facility's SOC 2 Type II supports most of them. The compliance colocation guide maps each framework to what a facility has to provide.
Bay Area Situations We Handle Regularly
We do not publish client names. These are the shapes of the requirements that come in.
An AI startup leaving the GPU cloud cost trap
A 55-person company running training and inference on AWS and Google Cloud, with a combined bill near $180,000 a month and a CFO who has called it unsustainable. We model current GPU cloud costs against owned hardware in colocation, compare Equinix for ecosystem, DataBank for compliance at better economics, and Sacramento or Reno for bulk training, and design a hybrid that keeps elastic capacity in the cloud.
A SaaS company losing enterprise deals on compliance
A 180-person company on AWS whose enterprise buyers want SOC 2 Type II with facility-level controls, geographic redundancy and evidence of dedicated infrastructure. We design dedicated production in Silicon Valley, disaster recovery outside California, and the migration from cloud-native to hybrid.
A biotech building HIPAA and genomics-compliant infrastructure
A 90-person company scaling clinical operations with HIPAA obligations for trial data and California GIPA obligations for genomics data, and a regulatory team that needs audit-defensible documentation. We design a compliance-first architecture, DR for clinical continuity, and the documentation the regulatory team will be asked for.
Five Mistakes Bay Area Companies Make
1. Defaulting to Equinix without checking whether the ecosystem is needed
Equinix Silicon Valley is essential when you need maximum cloud and AI connectivity. Compliance-focused, DR and cost-sensitive production workloads often don't, and pay the premium for nothing.
2. Putting bulk compute in the Bay Area
General enterprise workloads and training clusters without an ecosystem requirement consistently overpay here when Sacramento or Reno would serve them at 25 to 50 percent less.
3. Underestimating the power timeline
Growth plans that assume capacity will be there run into six to eighteen month delays. Power availability at each candidate facility is the first thing to check, not the last.
4. Skipping DataBank and Colovore in the first pass
Companies that evaluate only the biggest names miss the compliance-strong value option and the one facility built for real density.
5. Planning DR inside California
Sacramento or Los Angeles as a DR site leaves you exposed to statewide events. Sophisticated Bay Area DR sits in Phoenix, Denver, Salt Lake City or Dallas, where TierPoint, Flexential and others give real separation.
Five Questions Before Any Bay Area Decision
Which submarket fits the workload?
San Francisco for a city address or downtown latency. Silicon Valley for most workloads and all ecosystem needs. East Bay for smaller, cheaper footprints. Sacramento or Reno for power and price.
Do you need Silicon Valley ecosystem access?
Maximum hyperscaler and AI connectivity means Equinix. More focused connectivity can work at CoreSite or Digital Realty. No ecosystem requirement points to DataBank for value, or out of the region entirely.
What is your density trajectory over three years?
Standard density is supported everywhere. 30 to 60 kW needs specific buildings. 60 kW and above, or rack-scale GPU systems, needs liquid cooling and a very short list, and capacity may need securing before the constraint closes.
Which compliance frameworks apply?
CCPA and CPRA, SOC 2 Type II, HIPAA, PCI DSS, GIPA and export controls each narrow the candidate list. The site selection guide covers the criteria.
What is your disaster recovery strategy?
In-state separation, out-of-state separation or multi-region redundancy. It determines the whole architecture, not just the second site.
How the Bay Area Compares to Other Markets
| Against | Choose the Bay Area when | Choose the other market when |
|---|---|---|
| Sacramento and Reno | You need the Silicon Valley ecosystem for AI, cloud or partner connectivity | You need power, price and speed for bulk compute or training; typically 25 to 50 percent lower cost |
| Phoenix | Latency to Bay Area users or systems matters | You want a major western hyperscale hub with abundant power and none of California's risk |
| Northern Virginia | You need the AI ecosystem, West Coast users or Bay Area talent on site | You need the largest cloud market in the world with the deepest supply. See Northern Virginia colocation. |
| New York metro | The workload is AI or technology and West Coast | The workload is financial services and needs the trading ecosystem. See the NYC metro guide. |
| Chicago | Silicon Valley ecosystem access decides it | You need central-US network topology or the CME ecosystem. See Chicago colocation. |
Outside the Bay Area, California's capacity concentrates in Los Angeles, which serves Pacific routing and media, and Sacramento, which has absorbed much of the demand priced out of Silicon Valley. California offers no data center tax exemption comparable to Texas, Georgia or Virginia, which, with PG&E rates and permitting, has pushed new large-scale development to Nevada, Arizona and Oregon. For developers and investors weighing where to build, the data center consulting practice covers those decisions.
Frequently Asked Questions
What is the best data center in the San Francisco Bay Area?
It depends on the workload. For AI infrastructure and cloud ecosystem access, the Equinix Silicon Valley campus in Santa Clara and San Jose has the deepest interconnection in the western United States, with on-ramps to AWS, Azure, Google Cloud and Oracle and connectivity to GPU clouds such as CoreWeave, Lambda and Together AI. For a San Francisco address, 365 Main Street and 200 Paul Avenue, both Digital Realty. For GPU density most facilities cannot support, Colovore in Santa Clara. For compliance-heavy mid-market workloads at better economics, DataBank SFO1. For hybrid cloud, CoreSite's Open Cloud Exchange. We evaluate the decision for your requirement at no cost.
How much does colocation cost in the San Francisco Bay Area?
Silicon Valley asking rates run $180 to $275 per kW per month for a 250 to 500 kW requirement, according to CBRE, the highest band of any primary market, against a national average of about $196. High density AI space carries a further premium, and San Francisco proper adds a city premium. Sacramento typically runs 25 to 40 percent below Silicon Valley and Reno 30 to 50 percent below. Negotiated rates differ from asking rates, and we bring current benchmarks to every evaluation at no cost.
Where should Bay Area AI companies deploy infrastructure?
Equinix Silicon Valley when ecosystem connectivity to clouds and GPU providers matters most. Colovore when rack density is the constraint. DataBank when compliance and value matter more than ecosystem. Sacramento or Reno for training clusters without a Silicon Valley requirement, where power is available and prices are lower. Because Bay Area power is constrained, checking availability at each candidate facility is the first step.
Why is Bay Area colocation more expensive than other markets?
Power costs and constraints, real estate, and demand that keeps outrunning supply. PG&E rates run well above national averages and new capacity is hard to deliver, so existing space commands a premium, and the Silicon Valley ecosystem is worth paying for when you need it. When you do not, Sacramento, Reno or Phoenix delivers better economics.
How does power availability affect Bay Area planning?
PG&E delivery to Silicon Valley is the main bottleneck for new capacity, and providers report multi-year waits for upgrades. New hyperscale development has largely moved to Sacramento, Reno and Phoenix. For deployments above about 500 kW, Bay Area timelines can run six to eighteen months longer than in a market with power, which is why many companies keep a smaller Silicon Valley presence for ecosystem-critical work and put the rest elsewhere.
Which Bay Area provider is best for cloud repatriation?
CoreSite for hybrid architectures with meaningful remaining cloud dependencies, through Open Cloud Exchange. Equinix for the same with broader hyperscaler and GPU cloud connectivity. DataBank for regulated workloads at better economics. For workloads with no remaining cloud dependency, value providers or a Sacramento or Reno facility often cost less than cloud-adjacent space. The cloud repatriation guide covers the financial model.
Should Bay Area companies consider Sacramento or Reno?
Yes, for anything without a Silicon Valley ecosystem requirement. Sacramento is about 90 minutes away with lower pricing, better power and less wildfire exposure, and hosts hyperscale campuses from Vantage, QTS and others. Reno adds Nevada tax treatment, abundant power, a cool climate and separation from California grid risk. For bulk compute, training, cost-sensitive production and disaster recovery, they usually win.
What disaster recovery strategy should Bay Area companies use?
Out-of-California separation. Bay Area primaries face wildfire and PSPS outages, earthquake risk on the San Andreas and Hayward faults, and grid stress in extreme weather. Common pairings are Phoenix, Denver, Salt Lake City or Dallas. Sacramento gives cost-effective in-region backup but limited protection from statewide events; Reno separates the utility but shares regional seismic risk.
Is colocation better than cloud for Bay Area technology companies?
For steady production workloads at scale, usually. On the workloads that move, dedicated infrastructure typically saves 30 to 50 percent once every cost is counted, and far more for steady GPU inference. Cloud still wins for variable workloads and early-stage products. Most companies at scale land on hybrid: production on dedicated infrastructure, customer-facing services and burst capacity in the cloud. Above roughly $50,000 a month in cloud spend, or with significant GPU needs, the evaluation is worth running.
Ready to Price Bay Area Capacity?
Three submarkets, the most constrained power in the country, the highest rates of any primary market, and California-specific risk that shapes disaster recovery. The right answer depends on the workload, the density, the compliance posture, the ecosystem needs and the DR strategy. Send us the rack count, power, cloud connections and timeline, and you'll hear back within 24 hours from the person who will run your search. We have no stake in which provider you choose, and the provider pays us, so it costs you nothing.
That is what keeps benchmarks, and an advisor, in the process.
Provider guides: Equinix, Digital Realty, DataBank, CoreSite, Cologix and the provider comparison.
Other markets: Los Angeles, Dallas, Chicago, Atlanta, Northern Virginia and the New York metro.
Workloads and decisions: AI and GPU colocation, GPU rental, cloud repatriation, hybrid cloud, disaster recovery and data center migration.
By industry: fintech, healthcare and HIPAA, financial services, media and entertainment and law firms. For contract terms, the contract terms guide; for how placement works, how it works.
