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🏆 Price Match Guarantee  We’ll beat any colocation quote by 10%  ·  151 Front Street West, Toronto

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Trusted Partner for AI Tech Providers

  • 151 Front
    Street West
  • 100% Canadian
    Owned & Operated
  • Affordable
    Solutions
  • Mix & Match
    Infrastructure
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Glowing AI chip on a blue circuit board, representing GPU and AI colocation infrastructure

Location

151 Front Street West, TOR2

Connectivity

TORIX + 400+ peers

Bandwidth

1Gbps to 100Gbps unmetered

Compliance

SOC 2 Type II, PIPEDA, PHIPA

What AI providers needs

Standard colocation was not designed for GPU workloads.

A single NVIDIA H100 SXM draws ~700W. An 8-GPU server draws ~5kW to 6kW. A rack of four such servers draws 20kW to 24kW. Standard racks cannot handle this the power or the heat.

High power density

Up to 25kW per rack. Provisioned to your specs 208V and three-phase available.

 
Sustained GPU cooling

In-row cooling units at rack level. Hot/cold aisle containment across the suite.

Enwave deep lake cooling

Lake Ontario-sourced cooling. High thermal capacity for sustained full-load operation.

100Gbps unmetered

Training pipelines, inference serving, checkpoint transfers no bandwidth caps.

Private cloud connectivity

Cross-connects to AWS, Azure, Google Cloud for hybrid AI workflows.

Fixed cost vs cloud GPU

Predictable monthly cost regardless of GPU utilisation.

Challenge vs solution

What AI infrastructure requires.

Each row maps a requirement to what Amanah provides at 151 Front Street West.

CHALLENGE
WHAT AMANAH PROVIDES

Standard racks cannot support GPU power draw above 5kW

TOR2 supports up to 25kW per rack with engineered power distribution

Air cooling causes thermal throttling at full GPU load

In-row cooling + aisle containment + Enwave manages sustained thermal load

Cloud GPU cost is unpredictable at scale

Fixed monthly colocation cost regardless of utilisation

Training pipelines need high-throughput bandwidth

1Gbps to 100Gbps unmetered no caps on training or inference traffic

Hybrid workflows need private cloud connectivity

Cross-connects to AWS, Azure, Google Cloud from your rack

Canadian data residency required for regulated AI data

All infrastructure in Ontario, Canada SOC 2, PIPEDA, PHIPA

TOR2 infrastructure for AI

Three layers of cooling. 25kW per rack. 100Gbps.

TOR2 is the only suite at 151 Front Street West designed for sustained high-density compute workloads.

In-row cooling

Cooling units positioned in the row alongside your GPU racks. Heat managed at rack level before it spreads.

Hot/cold aisle containment

Cold supply air delivered to intake faces. Hot exhaust physically contained. No hot spots, maximum cooling efficiency.

Enwave deep lake cooling

Lake Ontario-sourced. High thermal capacity. Enables sustained 25kW per rack without mechanical chillers.

Up to 25kW 208V and three-phase

Circuits provisioned to your specs. 20A 110V standard. 208V, three-phase, and B feeds available on request.

100Gbps unmetered

No caps on training data, inference traffic, or checkpoint transfers. First provider at 151 Front to offer 100Gbps unmetered.

Private cloud connectivity

Cross-connects to AWS, Azure, Google Cloud for hybrid AI pipelines. No public internet for data movement.

Use Cases

How AI companies use Amanah.

Model training

LLM and foundation model training

Dense GPU clusters at full power for days or weeks. Fixed colocation cost vs unpredictable cloud GPU billing.

Inference

AI inference at scale

GPU inference endpoints at Canada's primary internet exchange. TORIX peering minimises latency to Canadian API users.

HPC

High-performance compute clusters

Scientific computing, genomics, and climate simulation at 10kW to 20kW per rack. Sustained load, no throttling.

Rendering

GPU rendering and visual compute

Dense GPU rendering farms with in-row cooling. 100Gbps for large asset transfers.

Research

University and research computing

PIPEDA compliant infrastructure in Ontario for research data. SOC 2 for institutional procurement.

MLOps

Hybrid MLOps pipelines

Train on colocated GPUs, store on cloud. Private cross-connects move datasets and checkpoints without public internet.

Certifications

Independently audited. Documentation on request.

SOC 2 Type II

All five AICPA Trust Services Criteria. Audit period, not point-in-time.

PIPEDA

Canada's federal privacy law. All data in Ontario, Canada. No cross-border transfers.

PHIPA

Ontario's Personal Health Information Protection Act. Suitable for regulated health workloads.

FAQ

Common questions about AI infrastructure at Amanah.

FAQ Toggle
Hardware & power
Can your racks handle high-density GPU and AI hardware?
Yes. Our TOR2 facility supports up to 25kW per rack, purpose-built for dense compute such as GPU clusters and AI training and inference nodes, well beyond standard colocation racks. Bring your own hardware and we scope power and cooling to match.
What power redundancy protects my compute?
Redundant power feeds, three-phase 208V power, and a 99.99% uptime SLA keep workloads running. Capacity is scoped to your hardware's draw per rack.
Cooling
How do you cool high-density AI workloads?
151 Front Street West uses Enwave deep-lake cooling drawn from Lake Ontario, plus in-row cooling and hot/cold aisle containment, to manage the thermal load of dense compute without the cost and limits of conventional cooling.
Connectivity
Is there enough bandwidth for large datasets?
Yes. Direct access to TORIX (230+ peers, 400+ networks) and carrier-neutral connectivity at Canada's most connected building give you the throughput to move large training datasets and serve inference at low latency.
Scaling & location
Can I start small and scale my cluster?
Yes. Begin with a single high-density rack and expand into additional racks or a private cage as your compute footprint grows.
Where is my hardware located?
At 151 Front Street West in downtown Toronto, keeping your data and models resident in Canada.

Deploy your AI infrastructure at TOR2, 151 Front Street West.

Up to 25kW per rack, 100Gbps unmetered, private cloud connectivity.
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