Introducing TensorPi — Europe's Independent AI Hardware Lab

Today we're announcing TensorPi — an independent AI hardware testing lab based in Germany, built to help European businesses make informed decisions about AI infrastructure.

We started TensorPi because we saw the same problem everywhere: companies that want to adopt AI but have no way to evaluate the hardware options without buying first. The default answer is always "buy NVIDIA" — not because it's always the best fit, but because nobody offers an unbiased comparison.

Europe has an AI infrastructure problem

The numbers tell the story clearly:

• 80% of EU enterprises haven't adopted AI yet (Eurostat, 2025)
• 85% of German businesses feel over-dependent on US cloud providers (Bitkom, 2026)
• NVIDIA holds ~80% of the AI accelerator market at 73% gross margins
• The EU AI Act is in effect, demanding auditable, sovereign infrastructure

Europe is losing the AI race — not because the technology isn't available, but because businesses don't know how to navigate the landscape. They're stuck between defaulting to expensive NVIDIA hardware, blindly adopting cloud APIs that send their data overseas, or doing nothing at all.

What TensorPi does

We provide something that doesn't exist in Europe today: an independent, vendor-neutral hardware lab where companies can test AI hardware before they invest.

Our lab includes hardware from multiple vendors — NVIDIA, AMD, Tenstorrent, Hailo, Axelera, DEEPX, Q.ANT, and Apple — spanning data center GPUs, RISC-V accelerators, photonic processors, and edge AI chips. All available for remote testing.

We offer three tiers of service:

• Benchmark-as-a-Service: Submit your model, pick hardware, get a performance report with real numbers — throughput, latency, power consumption, cost-per-inference.
• Remote Lab Access: SSH into machines with your chosen accelerators from your browser. Run your own code, your own models, your own tests.
• Guided Evaluation: Our engineers work with you to design and run a custom hardware evaluation, then deliver a report with procurement recommendations.

Why independence matters

Every hardware vendor will tell you their product is best. Every cloud provider will tell you to use their cloud. Every consulting firm will give you a slide deck.

We're different because we don't sell hardware for any vendor. Our revenue comes from testing and consulting — not commissions. When we recommend a Tenstorrent Blackhole over an NVIDIA GPU for your workload, it's because the data says so. When we recommend NVIDIA, same reason.

Our benchmark methodology is published openly. Our scripts are open-source. Every number in our reports is reproducible. In a market full of vendor marketing and hype, we think transparency is a competitive advantage.

Why Europe, specifically

This isn't just a business opportunity — it's a strategic necessity.

Europe has no major AI hardware vendor. No hyperscaler. Limited sovereign compute infrastructure. The EU is investing over €200B through programs like InvestAI and EuroHPC to change that — but the money needs to flow to the right places, and companies need help making the right decisions.

Meanwhile, alternatives to NVIDIA are emerging from within Europe itself. Axelera (Netherlands) builds RISC-V edge processors. Q.ANT (Germany) is pioneering photonic AI computing. These companies need independent validation to earn enterprise trust — and European businesses need someone to help them evaluate these options.

TensorPi is that bridge.

What's next

We're starting with our existing hardware lab and a small team. Over the coming months, we'll be:

• Publishing independent benchmark comparisons on this blog
• Opening our remote testing platform for early access
• Expanding our hardware catalog with new vendors and devices
• Building partnerships with European AI hardware companies

If you're a company evaluating AI hardware, a developer who needs access to accelerators, or a hardware vendor who wants independent benchmarks of your products — we'd love to hear from you.

The companies that figure out AI infrastructure now will have a structural advantage for the next decade. We're here to make sure European businesses are among them.