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title: README |
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# EliovpAI |
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🇧🇪 **Belgian AI Performance Optimization Specialists** |
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We are a small, specialized team focused on **optimizing AI model performance through custom kernels and advanced optimization techniques**, delivering superior throughput and latency for production deployments. |
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## 🎯 Our Mission |
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Maximizing AI inference performance through cutting-edge kernel optimization and hardware-specific acceleration technologies. |
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## 🛠️ What We Do |
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- **Custom Kernel Development**: Hardware-specific optimizations for maximum throughput |
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- **Latency Optimization**: Advanced techniques to minimize inference time |
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- **Performance Engineering**: Squeezing every bit of performance from existing models |
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- **Production Acceleration**: Real-world deployment optimization |
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## 🏢 Company |
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- **Website**: [eliovp.com](https://eliovp.com) |
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- **AI Division**: [ai.eliovp.com](https://ai.eliovp.com) |
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- **Paiton Product**: [ai.eliovp.com/paiton](https://ai.eliovp.com/paiton) |
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## 🚀 Paiton: Our Flagship Optimization Platform |
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Our core product **Paiton** is designed to dramatically improve AI model performance through: |
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- **Custom kernel optimization** |
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- **Advanced throughput engineering** |
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- **Latency reduction techniques** |
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- **Hardware-specific acceleration** |
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Transform your existing models into high-performance inference engines. |
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**Learn more**: [ai.eliovp.com/paiton](https://ai.eliovp.com/paiton) |
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## 🔧 Technology Focus |
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- **Custom Kernels**: Hand-optimized for specific hardware architectures |
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- **Performance Engineering**: Throughput and latency optimization |
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- **Hardware Acceleration**: Specialized optimizations for AMD and other platforms |
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- **Production Ready**: Battle-tested optimization solutions |
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## 🤝 Collaboration |
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We're open to collaboration on: |
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- Custom kernel development projects |
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- Performance optimization consultancy |
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- Enterprise AI acceleration solutions |
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## 📬 Contact |
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For business inquiries and technical partnerships, visit [eliovp.com](https://eliovp.com) |
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*Optimizing AI performance, one kernel at a time.* |
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