The AI Factory Platform
A fully orchestrated system for producing AI output — not just renting compute. Powered by NVIDIA GB300, ProphetStor Federator.ai, and liquid-cooled infrastructure engineered for continuous production at scale.
What We Deliver
Four Pillars of the CNEX Advantage
CambridgeNexus (CNEX) is not a GPU rental platform. It is a vertically integrated AI Factory — hardware, orchestration, and output economics unified into a single production system.
GB300-Powered Infrastructure
NVIDIA GB300 systems at the foundation — the most performant AI compute architecture available today.
ProphetStor Orchestration
Federator.ai continuously schedules, optimizes, and balances workloads across the full hardware stack.
Up to 50% Throughput Uplift*
Intelligent orchestration converts raw hardware capability into measurable effective output.
Up to 30% Power Efficiency*
Liquid-cooled infrastructure and workload intelligence reduce energy overhead at scale.
*Performance and efficiency gains vary by workload and configuration.
The Shift
AI Is Now Production Infrastructure
AI leaders have moved beyond experimentation. The frontier is defined by continuous, high-volume output — not episodic compute bursts on shared cloud. The infrastructure model that got you here will not scale to where you need to go.
❌ Shared Cloud
- Shared contention — unpredictable latency
- Inefficient scheduling — idle cycles billed
- No orchestration — raw hardware only
- Throughput varies — no output guarantees
✅ CNEX AI Factory
- Dedicated infrastructure — zero contention
- Intelligent scheduling — maximum utilization
- Federator.ai orchestration — always optimizing
- Continuous output — SLA-backed production
"AI leaders optimize for output — not compute hours."
Architecture
One System. Three Layers.
Every component of the CNEX AI Factory is purpose-built to convert energy into AI output at maximum efficiency. Hardware provides the power. Orchestration unlocks it. The output layer is where economic value is realized.
Most providers stop at Layer 1. CNEX delivers all three — integrated, continuously optimized, and production-ready from day one.
Performance Leap
From H200 to GB300 — A Step-Function Change
The H200 set the prior-generation benchmark. The GB300 architecture does not iterate on that baseline — it redefines the performance curve. CNEX AI Factory then applies orchestration intelligence on top, producing measurable uplift beyond raw hardware capability.
"This is not incremental improvement. This is a new performance curve." — All figures are relative indices. Actual results vary by workload, model size, and configuration.
The CNEX Multiplier
The Same Hardware. Better Results.
A bare GB300 deployment delivers extraordinary raw performance. A CNEX AI Factory deployment converts that raw capability into continuous, optimized output — by eliminating idle cycles, resolving scheduling inefficiencies, and continuously rebalancing workloads in real time.
Baseline GB300
Raw compute performance. High theoretical throughput. Underutilization gaps remain — scheduling latency, idle queues, suboptimal memory allocation — common without intelligent orchestration.
CNEX AI Factory
ProphetStor Federator.ai layers continuous intelligence across the hardware stack. Workloads are scheduled, balanced, and reoptimized in real time — converting theoretical performance into realized output, continuously.
50%
Throughput Uplift*
Effective output increase versus unorchestrated GB300 deployment
30%
Power Efficiency*
Reduction in energy cost per unit of AI output
95%
Target GPU Utilization
Continuous workload scheduling drives near-peak hardware utilization
*Performance varies by workload and configuration. All metrics are indicative.
ROI Engine
Estimate Your AI Output & Economic Impact
AI economics is defined by output — not hourly pricing. The question is not what you pay per GPU-hour. The question is: how many tokens does your infrastructure produce, and what is each token worth to your business?
How Output Economics Work
If your current infrastructure requires a fixed level of compute to produce your AI workload, a more efficient system produces the same output in less time and with fewer resources. That difference becomes recoverable margin — reinvested into more output, faster iteration, or reduced operational cost.
What Drives the Calculation
- Number of racks deployed
- Target GPU utilization (%)
- Operational hours per day
- Active days per month
- Revenue per 1M tokens generated
Deployment
Production-Ready Deployment Configurations
Every CNEX deployment is dedicated, optimized, and production-grade from the first GPU. Choose the configuration that matches your current AI production scale — and expand as your output requirements grow.
Entry Unit — 2 GPUs
Production baseline. Minimum viable AI Factory deployment. Dedicated infrastructure with zero shared contention. Designed for real inference and training workloads — not experimentation.
Use case: Initial production inference, dedicated fine-tuning
Node — Multi-GPU
Scalable production unit. Multi-GPU node configuration with full Federator.ai orchestration. Expand throughput linearly as model complexity and token demand grow.
Use case: Mid-scale LLM training, high-throughput inference serving
Full Rack — NVL72 ⭐
Maximum single-rack throughput. The NVL72 system delivers full NVLink fabric performance. Liquid-cooled, fully orchestrated, and optimized for continuous large-scale AI production.
Use case: Foundation model training, large-scale inference at enterprise throughput
Multi-Rack — AI Factory Scale
Full AI Factory deployment. Multi-rack configurations with unified orchestration across the entire fleet. Purpose-built for organizations where AI output is core production infrastructure.
Use case: Continuous enterprise AI production, multi-model serving at scale
No pricing is shown because every deployment is optimized for output and efficiency. Configuration pricing is scoped to your specific workload requirements. Contact our team for a tailored deployment proposal.
Competitive Landscape
Different Models. Different Outcomes.
AWS and CoreWeave offer compute access. CNEX delivers orchestrated AI output. The distinction is not marketing language — it is architectural. Compare the models on the dimensions that determine production AI economics.
"They sell compute. We deliver optimized output."
Capacity
Capacity Is the Constraint
GB300 systems are among the most constrained infrastructure assets in the global AI market. Supply is finite. Deployment slots are allocated in sequence. Not all GB300 deployments are equal — CNEX adds the orchestration layer that converts raw allocation into production-grade output.
Limited Slots
GB300 deployment capacity is strictly constrained. Allocations are assigned based on production readiness and workload validation.
First-Mover Advantage
Organizations that secure GB300 capacity now gain a durable performance edge as AI output becomes the primary competitive differentiator.
Production from Day One
CNEX deployments are pre-optimized, pre-integrated, and production-ready — no configuration lag, no performance ramp-up period.
Enterprise Experience
Built for Enterprise AI
CNEX is designed for organizations where AI output is not an experiment — it is production infrastructure. Every element of the stack is engineered to meet enterprise-grade requirements for reliability, observability, and continuous performance.
Dedicated Infrastructure
No shared tenants. No contention. Your workloads run on hardware allocated exclusively to your organization — ensuring consistent, predictable output at all times.
Intelligent Orchestration
ProphetStor Federator.ai continuously monitors, schedules, and rebalances workloads across the full hardware stack — maximizing utilization without manual intervention.
Real-Time Monitoring
Full observability across compute, memory, interconnect, and output metrics. Proactive alerting and performance reporting included — so your team always has visibility into the factory floor.
SLA-Backed Production
CNEX deployments come with formal service level agreements covering infrastructure availability and output continuity — the accountability standard enterprise AI demands.
FAQ
Frequently Asked Questions
Common questions from enterprise AI and infrastructure leaders evaluating CNEX AI Factory deployments.
What is the minimum deployment?
2 GPUs — designed for real production workloads, not sandbox environments. Every CNEX configuration is dedicated, orchestrated, and production-grade from the first unit.
Why is no pricing shown?
Because deployments are scoped and optimized for output and efficiency — not priced as commodity compute-hours. Every configuration is tailored to your workload, utilization target, and output requirements. Contact our team for a structured proposal.
How is this better than H200?
GB300 delivers a step-function performance increase across memory bandwidth, interconnect speed, and raw throughput. CNEX then applies ProphetStor orchestration on top, amplifying that hardware advantage into measurable effective output gains — far beyond what raw hardware comparison benchmarks indicate.
What exactly am I buying?
A system that produces AI output — not just compute. CNEX AI Factory includes dedicated GB300 infrastructure, ProphetStor Federator.ai orchestration, real-time monitoring, and SLA-backed production continuity. You are buying an outcome, not a resource allocation.
How long does deployment take?
CNEX deployments are pre-integrated and pre-optimized. Most enterprise configurations are production-ready within days of capacity allocation — not weeks. Our team manages onboarding, configuration validation, and performance baseline establishment.
Is there a commitment term?
Deployment terms are structured around production workload requirements. Given the constrained nature of GB300 capacity and the optimization overhead involved in onboarding, we recommend and support multi-month production commitments. Specific terms are scoped during the engagement process.
Build Your AI Factory Advantage
GB300 deployment slots are limited. Organizations securing capacity now establish a durable performance lead as AI output becomes the defining competitive variable in enterprise technology.
AI Factory, Not Cloud
Dedicated. Orchestrated. Continuous output.
Output, Not Compute
Tokens produced. Margin recovered. Value delivered.
Efficiency = Margin
Every percentage point of utilization gained is recoverable economic value.
Orchestration = Multiplier
ProphetStor Federator.ai converts hardware into sustained output advantage.
⚡ Limited GB300 deployment slots available. Capacity is allocated on a first-qualified basis. Contact [email protected] to begin your deployment scoping conversation.