Tensorex
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v1.0 Stable Release

Stop Burning Money on Python Inference.

Deploy AI models with millisecond latency and 90% less RAM. The native Rust architecture for the elite engineering teams.

Trusted by 500+ ML Engineers

root@tensorex-node-01: ~
Swiss Privacy Standards

Total Data Sovereignty. Zero Leaks.

The only AI engine compliant with strict Swiss Privacy Standards and DePIN architectures.

Air-Gapped Ready

Run fully offline. No internet required. Your sensitive financial data never leaves your bare-metal servers.

DePIN Native

Ultra-low footprint (200MB). Deploy tensorex on decentralized nodes and validators without crashing the network.

Rust Safety

Memory-safe execution. No garbage collector pauses. The same reliability as Solana/Polkadot infrastructure.

The Python Container Trap

Legacy inference stacks are eating your margins. It's time to stop the bleeding.

High Latency

Python's GIL (Global Interpreter Lock) creates bottlenecks under high concurrency, causing unpredictable latency spikes in production.

Memory Leaks

Heavy containers require massive RAM overhead just to idle. Garbage collection pauses can kill your real-time performance guarantees.

AWS Bill Shock

Over-provisioning GPU instances to handle Python's inefficiency is burning your runway. Stop paying for idle compute.

Zero-Copy Deserialization

Tensorex bypasses the Python interpreter entirely. We use Safe Rust bindings to interact directly with CUDA kernels, enabling zero-copy tensor operations and eliminating serialization overhead.

  • Alpine Linux based (50MB image)
  • gRPC & REST API built-in
  • Auto-batching out of the box

Memory Footprint (RAM)

Standard Python Container (FastAPI + PyTorch) 3.2 GB
Tensorex Engine 200 MB

16x More Efficient

Simple, Transparent Pricing

Start for free, scale when you're ready.

Developer

$0

  • ✅ Docker Image (Public)
  • ✅ CPU Inference
  • ✅ Community Support
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Production License

$499 / year

  • 🚀 Commercial License
  • 🔒 Priority Support (Email)
  • GPU Acceleration Build
  • 🛠️ Setup Consultation (1h)
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