What Consensus Core does

Consensus Core Technologies Inc. is a Vancouver, Canada-based AI infrastructure company that delivers GPU-as-a-Service, managed Kubernetes cloud, inference APIs, and bare-metal supercomputer access to AI developers, enterprises, government and defense organizations, and hyperscale tenants. Its platform provides direct access to GPU clusters ranging from 8 to over 10,000 NVIDIA H100, H200, B200, and GB200 systems, InfiniBand-connected for distributed training, with a Kubernetes-native orchestration layer claiming 94% average GPU utilization, 3-5x faster container spin-up than hyperscalers, and 8-10x faster traffic-spike handling. The company also offers colocation services across 40+ partner data centers in 12 North American markets through a channel partnership with Cologix, confidential computing for sovereign AI deployments, and a startup accelerator program providing free H100 access to companies with fewer than 10 people.

The business operates multiple revenue streams: usage-based GPUaaS and bare-metal access, managed colocation services, and professional services for AI cluster design and integration, with reserved, on-demand, and spot pricing models. Go-to-market is hybrid: a self-serve cloud platform and inference API for developers and startups, paired with a direct enterprise field-sales motion for hyperscale, government, and large-enterprise customers. The company is an NVIDIA Preferred Elite Partner and is pursuing large-scale infrastructure expansion through a ~350-acre, 500MW Manitoba campus, a Texas site supporting a stated 2GW North American target, and the Convergence Compute LLC joint venture with Jet.AI for hyperscale campuses in the Midwest and Maritime Canada — though the Manitoba project was rejected by the provincial government in 2026. In March 2026, La Rosa Holdings Corp. signed a non-binding letter of intent to acquire 100% of Consensus Core in an all-stock transaction.

Name

Consensus Core

Legal name

Consensus Core Technologies Inc.

Website

https://consensuscore.com

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

1–10 employees

Short description

Consensus Core Technologies Inc. is a Vancouver-based AI infrastructure company providing GPU-as-a-Service, managed Kubernetes cloud, inference APIs, and bare-metal supercomputer access on NVIDIA hardware to AI developers, enterprises, governments, and hyperscale tenants across North America.

Ownership category

akta.pro rank

Product category

AI Cloud Infrastructure

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (5415)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373), Services-Computer Processing & Data Preparation (7374), Services-Prepackaged Software (7372)

akta.pro primary industry

AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)

akta.pro secondary industries

GPU/Accelerator Compute Servers (HDABADAC), GPU-Accelerated & AI Training/Inference Servers (HDACABAG), AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers) (HDAAAAAG), Private Cloud Platforms (On‑Prem Cloud Stacks) (HDABABAA), AI Server Systems & HGX/Accelerator Platforms (HDAAAAAB)

Keywords

• GPU cloud services
• AI infrastructure platform
• Kubernetes orchestration
• Bare metal GPU clusters
• Data center colocation

Headquarters

HQ city

Vancouver

HQ country

Canada

HQ region

North America

Offices4 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Infrastructure, Technology or R&D, Personnel, Operations, Supply Chain

Revenue model

1. GPU-as-a-Service (GPUaaS): On-demand access to NVIDIA GPUs and DGX systems through GPUaaS platform. Train, fine-tune, or deploy AI models at scale with pre-configured environments. Offers reserved, on-demand, or spot pricing models to match workload economics.
2. Colocation Services: Host customer hardware in 40+ data centers across 12 key markets. Secure hosting environments with 24/7 monitoring and direct cloud interconnection options.
3. AI Cluster Design & Integration: Build scalable GPU clusters tailored for large-scale AI workloads. Multi-node clusters for model training or distributed systems for inference.
4. Bare Metal Access: Direct access to supercomputer-scale clusters with InfiniBand-connected H100, H200, B200, GB200 for distributed training. Reserved, on-demand, or spot pricing.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels5 records

Core offering

Consensus Core provides a GPU-as-a-Service (GPUaaS) cloud platform delivering on-demand access to NVIDIA H100, H200, B200, and GB200 GPU clusters via managed Kubernetes cloud, inference API endpoints, and bare metal supercomputer configurations. The platform serves AI companies, government/defense, and enterprise customers with auto-scaling, InfiniBand-connected clusters, confidential computing for data sovereignty, and 94% average GPU utilization. Additional offerings include colocation across 40+ North American data centers, AI cluster design and integration, and a startup accelerator program.

Product overview

Consensus Core is an AI infrastructure company offering a multi-tier platform architecture centered on GPU-as-a-Service (GPUaaS), managed Kubernetes cloud, and inference API access. The platform enables deployment of open-source models (Llama, Mistral, DeepSeek) and custom models across bare metal supercomputer clusters (H100, H200, B200, GB200) connected via InfiniBand. Core offerings include GPUaaS for on-demand GPU access, Managed Cloud for Kubernetes-native orchestration with auto-scaling, Inference API for production-ready model endpoints, Bare Metal for supercomputer-scale clusters (8 to 10,000+ GPUs), Colocation Services across 40+ data centers, AI Cluster Design & Integration for custom deployments, and an Accelerator Program providing free H100 access for qualifying startups. The DGX SuperPOD and GB200 NVL72 Supercomputer products provide rack-scale liquid-cooled systems for trillion-parameter model training.

Differentiator

Problem solved

Functional benefit

Brands

• GPUaaS: GPU-as-a-Service platform providing on-demand access to NVIDIA GPUs and DGX systems for AI model training, fine-tuning, and deployment at scale.
• Convergence Compute

Products and services

• GPUaaS (GPU-as-a-Service) On-demand access to NVIDIA GPUs and DGX systems for training, fine-tuning, and deploying AI models at scale with pre-configured environments. Targeted at AI companies, researchers, and enterprise teams needing elastic GPU compute.
• Managed Cloud (Kubernetes-native AI Cloud) Kubernetes-native cloud platform providing full control without infrastructure overhead, with auto-scaling, intelligent load balancing, automatic failover, and pre-installed ML frameworks (Jupyter, TensorFlow, PyTorch, CUDA, cuDNN). For AI/ML teams building production models.
• Inference API Production-ready API endpoints for Llama 3.3, Mistral, DeepSeek, and frontier models with automatic scaling that handles traffic spikes without GPU management or surprise bills. For developers and teams needing intelligence on demand.
• Bare Metal (Supercomputer Clusters) Direct access to supercomputer-scale InfiniBand-connected clusters ranging from 8 to over 10,000 GPUs, including H100, H200, B200, and GB200 systems for distributed training, available via reserved, on-demand, or spot pricing. For organizations running large-scale training workloads.
• Colocation Services Secure hardware hosting across 40+ data centers in 12 key North American markets, with 24/7 monitoring, low latency, high uptime, and direct cloud interconnection options. For enterprises and hyperscale tenants needing physical infrastructure presence.
• AI Cluster Design & Integration Builds scalable GPU clusters tailored for large-scale AI workloads, including multi-node clusters for model training and distributed systems for inference. For enterprises deploying custom AI infrastructure.
• Startup Accelerator Program Free access to NVIDIA H100 Tensor Core GPUs for qualifying AI startups with fewer than 10 people to explore deep learning and AI development. For early-stage AI startups needing compute access.
• DGX SuperPOD Supercomputer-scale liquid-cooled clusters featuring NVIDIA GB200, B200, or H200 GPUs connected via NVLink and InfiniBand for trillion-parameter model training and inference at scale. For organizations running frontier AI workloads.
• GB200 NVL72 Supercomputer Rack-scale supercomputer with 72 GPUs, 120kW liquid-cooled design, and NVLink interconnects running at 900 GB/s, purpose-built for trillion-parameter LLM training and real-time reasoning. For frontier model developers.

Quantifiable outcome

• 94% average GPU utilization vs industry averages of ~30% idle time
• +3 more outcomes

Named customers4 records

Segments6 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability5 records

Feature5 records

Partnerships

Five partnerships are on record, tiered core and minor.

• Jet.AI Inc.coreStrategic or Co-development Partner · 16 March 2026Joint venture partnership through Convergence Compute LLC for hyperscale data center campuses in Midwest and Maritime Canada. Completed key milestones including Transmission Power Load Study Application and natural gas supply confirmation for up to six turbines. Maritime campus executed LOI for renewable energy from hydro and wind sources.
• CologixcoreChannel Partner/ Reseller/ Distributor · 6 August 2024Cologix selected as Canadian hub for launching NVIDIA-powered GPU-as-a-Service in Canada. Provides infrastructure for GPUaaS delivery across Canadian market.
• NVIDIAcoreTechnology or IntegrationNVIDIA Preferred Elite Partner providing access to NVIDIA GPUs including H100 Tensor Core GPUs (PCIe), DGX platforms, and SuperPOD systems. Access to latest Blackwell architecture including GB200, B200 GPUs.
• Convergence Compute LLCcoreStrategic or Co-development PartnerJoint venture entity with Jet.AI operating hyperscale data center campuses. Second milestone completed involving financial contributions, site inspections, and property acquisitions for Midwestern and Maritime Canada projects.
• Manitoba Utility ProvidersminorOthersPartnership with regional utility infrastructure near Winnipeg for robust energy and network infrastructure supporting hyperscale deployment with natural gas and fiber routes.

Scale indicators7 records

Recent moves6 records

Expansion highlights7 records

Direct peers

• CoreWeave: CoreWeave is the leading pure-play GPU cloud provider offering NVIDIA H100/H200/GB200 infrastructure at scale with Kubernetes-native orchestration. Closest direct competitor to Consensus Core in product offering, customer base (AI labs and enterprises), and go-to-market.
• Lambda Labs: Lambda provides GPU cloud and on-prem GPU clusters for AI training and inference, with a self-serve developer platform and enterprise offerings. Directly comparable in targeting AI developers and offering NVIDIA H100/H200 systems.
• Crusoe: Crusoe operates GPU cloud data centers often paired with stranded or renewable energy, and provides AI cloud services similar to Consensus Core's positioning. Closely aligned in combining GPUaaS with purpose-built data center development.
• Vast.ai: Vast.ai operates a marketplace for GPU compute including NVIDIA H100/A100 capacity for AI training and inference. Competes with Consensus Core's self-serve GPUaaS offering for cost-sensitive AI developers and startups.
• Together AI: Together AI offers GPU cloud infrastructure optimized for open-source model training and inference, with managed inference endpoints for Llama, Mistral, and DeepSeek. Directly overlaps Consensus Core's inference API and GPUaaS products.
• RunPod: RunPod provides on-demand GPU cloud pods and serverless inference for AI developers, with self-serve access to H100/A100 instances. Comparable in targeting the same SMB and developer customer segment with self-serve tooling.

Emerging players

• Anyscale: Anyscale operates Anyscale Platform and offers Anyscale Endpoints (now removed) for AI compute on Ray-based distributed infrastructure. Competes in the AI cloud and managed inference space for production AI workloads.
• Modal Labs: Modal provides serverless GPU compute for AI inference and batch workloads, with a developer-focused platform. Overlaps with Consensus Core's inference API and self-serve cloud offerings for AI builders.

Broad incumbents

• Equinix: Equinix is the global leader in colocation and interconnection with hundreds of IBX data centers. Overlaps with Consensus Core's colocation services and data center footprint, though Equinix is not AI-specialized.
• DigitalOcean: DigitalOcean provides cloud infrastructure including GPU droplets targeted at developers and SMBs. Overlaps with Consensus Core's self-serve cloud and developer positioning as a broader cloud incumbent adding GPU capacity.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/consensuscore

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Subsidiaries1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Consensus Core