Who this can fit
Federal, defence, and security teams
Typical work: Secure analytics and computer vision
Planning focus: documented components and ECC.
Enterprise compute for organizations in Ottawa-Gatineau and Kanata
Secure AI Workstations & GPU Servers for Ottawa-Gatineau and Kanata
For federal technology, telecom and semiconductor work, a capable system and an accredited environment are not the same thing. Alpha PC scopes Ottawa-Gatineau and Kanata workstation and server projects around verifiable hardware, software and documentation requirements while leaving customer security obligations clearly with the buyer.
Planning a $50,000+ CAD project? Start with the workload. A finished parts list can come later.
- Workload reviewed firstSystems Engineering checks the software, data flow, site limits, and acceptance needs.
- Real project evidenceReview a twelve-system deployment with controlled configurations, professional graphics and 1 TB of ECC memory per workstation.
- Quote assumptions in writingCurrency, delivery, substitutions, support, and warranty are stated in the quote.
$50,000+ projects
Request a quote
Tell us what the system must run and the budget range. Add only the technical details you already know.
- A recommendation tied to the workload
- A configuration your technical team can review
- Delivery assumptions written into the quote
Start with six required fields. Technical details are optional.
Where Alpha PC can help
Workstations and shared systems for secure analytics and RF and network simulation
For Ottawa-Gatineau and Kanata, Alpha PC plans a capability-led review that separates verified hardware controls from the customer's own security accreditation obligations.
Who this can fit
Telecom, semiconductor, and photonics firms
Typical work: RF/network simulation and EDA
Planning focus: high CPU throughput and memory bandwidth.
Who this can fit
Cybersecurity, AI, quantum, and research groups
Typical work: Threat analytics and private AI
Planning focus: flexible Linux environments and GPU memory.
Real Alpha PC work
Relevant Alpha PC work for federal, defence, and security teams
Real Alpha PC work and practical guidance for this decision.
Documented multi-system deployment
Twelve Enterprise Workstations for an International Project
Review a twelve-system deployment with controlled configurations, professional graphics and 1 TB of ECC memory per workstation.
Review the deploymentDocumented AI infrastructure
WALLACE AI Supercomputer for Castle Ridge
See how Alpha PC handled sustained AI compute, custom cooling and future expansion for the WALLACE platform.
Review the WALLACE projectPlan the right system
Ottawa capability and accreditation responsibility matrix
Use these three options as a starting point, then validate them with a real workload.
Which controls belong in the hardware scope, and which remain the buyer's accreditation duty?
On tablets, scroll the table horizontally; on phones, each row becomes a decision card.
| System option | Best when | We configure | Confirm first |
|---|---|---|---|
| Workstation path: Documented hardware capability | Secure analytics and computer vision. | Documented components and ECC. | Include exact versions for telecom and EDA. |
| Shared AI server: Restricted-network operation | RF/network simulation and EDA. | High CPU throughput and memory bandwidth. | Secure labs may require offline administration and controlled rack access; telecom and engineering groups also need rack depth, PDU, and cooling. |
| Staged deployment: Buyer accreditation boundary | Threat analytics and private AI. | Flexible Linux environments and GPU memory. | Ottawa-Gatineau and Kanata projects should document federal or contractor quote requirements, CAD budget, tax jurisdiction, bilingual document needs, security review boundaries. |
Owned capacity or cloud: Restricted datasets and consistent engineering queues often favour owned compute, while unclassified bursts may use cloud resources.
Not sure which option fits yet?
Share the workload. We will help define the system.
Request a quote
From workload to delivery
From workload notes to delivery
Three steps take one real workload to a configuration, quote, and delivery plan your team can check.
- 1
Describe one real workload
Share the work, software, data, users, and the constraint that is slowing the team down.
- 2
Review the design
Alpha PC ties those requirements to a configuration, quote assumptions, and the points still to be confirmed.
- 3
Validate and deliver
Testing, acceptance criteria, and delivery responsibilities are set before the system ships.
Explore more Alpha PC resources
Explore the systemsAI workstationsEnterprise AI servers
Common questions
Questions before the quote
Short answers to the questions that can change the build.
Which models, data, and response targets should drive secure analytics and computer vision?
Test with approved representative data such as signal captures, simulation models, vision samples, build trees, and AI models, recording memory, throughput, storage, and repeatability without moving restricted data improperly.
When does RF and network simulation justify shared compute instead of another workstation?
Secure labs may require offline administration and controlled rack access; telecom and engineering groups also need rack depth, PDU, cooling, 25 or 100 GbE, storage segmentation, and expansion planned in advance. Restricted datasets and consistent engineering queues often favour owned compute, while unclassified bursts may use cloud resources.