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Europe's Independent AI Hardware Lab

Test AI hardware
before you invest.

Running AI locally shouldn't be a guessing game. TensorPi gives you hands-on access to real AI hardware — from data center GPUs to RISC-V accelerators to edge AI chips — so you know exactly what works before you spend a cent.

Hardware from leading vendors in our lab

Constantly expanding — see our full hardware catalog

The Problem

AI hardware decisions are expensive guesses

80% of European enterprises haven't adopted AI yet. Those that have are asking the same unanswered questions.

?

Can I run this model locally?

What hardware do I actually need? Does it run fast enough? Nobody gives straight answers.

🔒

What about data sovereignty?

EU regulation demands local infrastructure, but 85% of German businesses feel over-dependent on US cloud providers.

Why not just use ChatGPT?

When should you use a cloud API vs. running models yourself? The answer depends on your data, workload, and budget.

Does this alternative to NVIDIA work?

Tenstorrent, Hailo, Axelera, AMD — alternatives exist and they're improving fast. But has anyone tested them with your specific stack?

💰

Am I overpaying?

NVIDIA holds 80% market share at 73% margins. There may be hardware 5x cheaper for your workload.

🔍

What can edge AI do for me?

Run models on-device without cloud connectivity. But which edge chip? At what performance? For which use cases?

What We Offer

Three ways to test before you invest

01

Benchmark-as-a-Service

Submit your model, pick hardware from our catalog, get a detailed performance report — throughput, latency, power consumption, and cost-per-inference across every device.

Self-service
Upload model, get results
Multi-hardware
Compare across platforms
Open
Transparent methodology
02

Remote Lab Access

Get SSH access to machines with your chosen accelerators — from your browser. Run your own code, your own models, your own tests. Time-slotted reservations, isolated environments.

Browser-based
No client install
Real hardware
Not simulations
Pre-installed
SDKs ready to go
03

Guided Evaluation

Our engineers work with you to design a custom hardware evaluation. We run the tests, interpret the results, and deliver a written report with procurement recommendations.

Expert-led
Our engineers, your workload
Full report
Benchmarks + recommendations
End-to-end
Testing to deployment
For Developers

Need access to AI hardware?

Stop waiting for cloud GPU quotas or buying hardware you might not need. Get SSH access to GPUs, alternative accelerators, and edge AI devices from multiple vendors — straight from your browser, by the hour.

SDKs pre-installed. Frameworks ready. Spin up a session, run your code, and find out if the hardware works for your project — before you commit.

$ tensorpi connect --device blackhole-01
Connected to Tenstorrent Blackhole p150a
32 GB GDDR6 • TT-Forge 0.9 • vLLM ready
$ python benchmark.py --model llama-3.1-70b
Running inference benchmark...
85 tok/s • TTFT 140ms • 75W
Illustrative — actual results depend on model and configuration.
Hourly
Pay per session
Browser
No install needed
Ready
SDKs pre-loaded
Why TensorPi

Independent. European. Full-stack.

Vendor-neutral

We don't represent any hardware vendor. Our methodology is transparent and published openly. We recommend what fits — not what pays us.

European sovereign

Based in Europe. Data stays in Europe. GDPR and EU AI Act compliant by design. No US cloud dependency.

Open-source native

Built on open models (Llama, Mistral, Qwen, DeepSeek) and open frameworks. Our benchmark tools are open-source. No lock-in.

Test equipment DNA

Our parent company has years of expertise in automated hardware testing. We bring rigorous, systematic benchmarking to AI infrastructure.

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