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ARTIFICIAL INTELLIGENCE · SUPERCOMPUTING · QUANTUM COMPUTING
Whoever puts the most advanced computing to work, wins. You don't need to spend billions to be that company. Qrux runs the latest CPUs, GPUs and quantum processors on one campus, with the data, the models and the engineers to turn all of it on your problem.
Start now, and pay for solutions, not for billions in infrastructure.
The most advanced computing there is, scaled to each problem.
Better solutions, sooner, from technology they don't have.
Three kinds of processor on one campus. The latest CPUs and GPUs, plus the one most platforms don't have: quantum.
CPU
Runs and coordinates everything.
GPU
Powers AI, modelling and simulation.
QPU
Quantum processing for the part of a problem that resists brute force.
Curated and licensed industry datasets, ready to use.
AI models built for specific industries and tuned on your data.
Engineers, data scientists and industry specialists who put all of it to work on your problem.
CPUs and GPUs at this scale are called supercomputing. Qrux adds quantum and runs all three as one platform.
AT FULL SCALE
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GPUs
Each dot is 100 GPUs.
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campus capacity
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kinds of processor
WHY WE EXIST
WITH A DATA CENTER, YOU STILL HAVE TO
WITH QRUX, YOU
Bring us the problem.
We do all seven. You get the result.
ENERGY
Where to drill.
BANKING
Lower risks.More efficient capital.
PHARMA
Better drug candidates,sooner.
These are the products. Computing is how we make them.
Engage at any layer, from dedicated capacity to a fully managed solution.
SELECT A LAYER TO SEE WHO DOES WHAT
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Take one layer or all seven.Most platforms can only offer you the first.
WHY "ADVANCED"
Every hard problem has a crux: the part that resists brute force. Qrux sends each part of a problem to the processor built for it, and the crux goes to the quantum processor.
CPU → GPU → QPU → GPU → CPU
ILLUSTRATIVE WORKLOADS · SELECT ONE TO SEE IT RUN
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One platform decides where each calculation runs. The customer never has to.
THE QUANTUM ADVANTAGE
Some problems can only be solved by trying an enormous number of possibilities. A conventional computer tries them one after another, so every extra digit of precision costs a hundred times more work. A quantum processor explores many at once, so the same digit costs only ten times more, not a hundred.
CONVENTIONAL COMPUTING
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WITH A QUANTUM PROCESSOR
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Illustrative, assuming each run takes one second.
1/ε² → 1/ε (amplitude estimation) · N → √N (search)
The risk report before the market opens, not after it closes.
Tighter estimates without eleven more days of computing.
Finding the best of a billion options takes a conventional search up to a billion checks. A quantum search needs about 31,600 steps.
NOTE
These are algorithmic results. They arrive as quantum hardware matures, and the platform earns on GPU and supercomputing from day one.
CO-LOCATION
Hybrid algorithms pass data between GPU and QPU many times in a single run. Between cities, each exchange takes milliseconds. On one campus: under 4 microseconds.
Illustrative
BETWEEN CITIES · 1 ms
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ON ONE CAMPUS · 4 μs
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250×
lower latency than a 1 ms link
2,500×
lower latency than a 10 ms link
10,000×
lower latency than a 40 ms link
A quantum computer in another city cannot be part of the loop.One on the same campus can.
Explore the architectureWHERE IT STARTS
These are starting points. If your problem is optimization, simulation, prediction or large-scale modelling, it has a crux.
SCALE
Each phase is triggered by anchor contracts and demand.
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Each dot is 100 GPUs.
BEYONDBuilt to expand past 50,000 GPUs as demand grows.
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BEYOND
Built to expand past 50,000 GPUs as demand grows.
Each dot is 100 GPUs.
Abundant natural gas and dedicated on-site power.
Room for power, computing, cooling and expansion on one campus.
Cold air cuts the cooling load, and permafrost lets us cool water in underground pipes.
The University of Alberta, Amii, the University of Calgary and Quantum City.
Sensitive data and models for government, defence, healthcare, banking and energy stay in Canada.
Alberta-based. Not geographically limited.
Ph.D. in Mathematics and Computer Science. Built dozens of AI and cloud platforms for the largest banks and telecoms, with more than $200M in business impact. Five startups, two exits.
Former Deputy Head of Israel's National AI Directorate. Led the design of a national program for approximately 100,000 AI accelerators.
We are looking for the partners, customers and investors who will build it with us.