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| title: Purem Benchmark Demo | |
| emoji: 🔥 | |
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| https://cdn-uploads.huggingface.co/production/uploads/652e609089e73c5e699f2aed/cJiEoW0bSw6vNt237yvSc.png | |
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| https://cdn-uploads.huggingface.co/production/uploads/652e609089e73c5e699f2aed/cJiEoW0bSw6vNt237yvSc.png | |
| short_description: 'Purem: Unlock Supercomputer-Grade AI Locally on Your MacBook' | |
| # 🚀 Purem: Unlock Supercomputer-Grade AI Locally on Your MacBook | |
| Next Monday, **28 Apr 2025**, we are launching the **public permanently free unlimited** version of **Purem** — no payment, no catch — a revolutionary CPU-accelerated AI kernel that matches the performance of leading in-house infrastructures like **OpenAI, Tesla, and Meta**. | |
| A major leap for macOS users – explore Purem here: [https://worktif.com/](https://worktif.com/) | |
| After strict recalculation accounting for GPU-to-CPU architecture and memory parallelism, our CPU implementation of Softmax (**~6500 ops/sec**) **outperforms** the GPU-optimized FlashAttention recalculated for standard CPUs (estimated **800–5000 ops/sec**). | |
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| ## 📊 Benchmark Highlights: | |
| - **Purem achieves ~6500 ops/sec** for large-scale softmax operations on Apple M2 CPU core. | |
| Comparable production-grade benchmarks: | |
| - **OpenAI's FlashAttention**: Achieves **800–5000 ops/sec** on CPU. | |
| - **Meta’s Xformers (PyTorch 2.0)**: Achieves **1300–1500 ops/sec** on CPU. | |
| --- | |
| ## 🔑 Key Advantages: | |
| - **Local Execution**: Runs entirely on your MacBook without the need for specialized hardware or cloud services. | |
| - **Cost-Efficient**: Delivers performance comparable to billion-dollar infrastructures at a fraction of the cost. | |
| - **Open and Transparent**: Built with transparency in mind, allowing for easy inspection and integration. | |
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| ## 📚 Official Comparing References: | |
| - **OpenAI FlashAttention**: *Fast and Memory-Efficient Exact Attention with IO-Awareness* — Tri Dao et al., 2022 | |
| [https://lnkd.in/dJw9wAux](https://lnkd.in/dJw9wAux) | |
| - **FlexAttention**: *The Flexibility of PyTorch with the Performance of FlashAttention* — PyTorch Blog, 2024 | |
| [https://lnkd.in/dYVGiq_h](https://lnkd.in/dYVGiq_h) | |
| --- | |
| ## 🌍 Why Purem Locally? | |
| Purem enables full-cycle development – from local testing and validation to production deployment. | |
| While this demo version runs on **Apple M1–M4 CPUs** for easy accessibility, production-grade environments (x86 servers with full **AVX-512** and specialized optimizations) achieve even higher absolute speeds – but the local performance remains industrial-grade and sufficient for real work. | |
| Purem accelerates: | |
| - **Local testing** | |
| - **Validation of LLM models** | |
| - **Deployment workflows** | |
| - **System verifications** | |
| significantly saving development time **without the need for costly infrastructure** during the initial stages. | |
| This approach ensures that developers can **design, test, and validate models locally** with confidence, knowing the exact behavior and efficiency match what will later run in production-grade infrastructures. | |
| Purem covers the complete scope: **development, validation, and production deployment** – all while maintaining **strong, consistent performance across environments**. | |
| --- | |
| ## 📢 Hashtags | |
| `#Innovation` `#Technology` `#DigitalTransformation` `#ArtificialIntelligence` `#Startups` | |
| `#AI` `#MachineLearning` `#DeepLearning` `#EdgeComputing` `#OpenSource` | |
| `#Apple` `#AppleSilicon` `#M2Chip` `#Softmax` `#FlashAttention` `#Xformers` | |
| --- | |
| # Purem – Ultra-Fast AI & Scientific Computing Demo | |
| Welcome to the official HuggingFace Space for **Purem** — the next generation computational engine delivering up to **429× faster** AI and scientific calculations. | |
| 🚀 **Purem transforms Python logic into native-optimized, linear-time execution**, reducing cloud costs by over 98% while delivering stable, deterministic performance without hardware overprovisioning. | |
| This Space offers a **free, non-commercial demonstration** of Purem's benchmark capabilities for research and evaluation purposes. | |
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| --- | |
| ## 🌟 Key Highlights | |
| - **Ultra-Fast Compute**: Purem outperforms industry-standard tools like NumPy, PyTorch, and JAX. | |
| - **Seamless Python Integration**: No rewrites, no complexity — plug Purem into existing workflows. | |
| - **Cost Efficiency**: Reduces cloud execution costs dramatically, proven with real benchmark data. | |
| - **Enterprise-Grade Optimization**: Built for AI/ML research, financial modeling, biotech, and more. | |
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| ## 🔥 Demo Capabilities | |
| This Space demonstrates **Purem’s core benchmark performance** on realistic workloads, such as: | |
| - **Softmax Computations** (up to 360× faster than NumPy) | |
| - **Large-Scale Array Processing** | |
| - **Latency and Throughput Benchmarks** | |
| > **Note**: This demo runs a restricted, notarized version of Purem’s execution engine, suitable for local testing and non-commercial research. | |
| --- | |
| ## 🛡 License & Usage | |
| - **License**: [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) | |
| - **Summary**: | |
| - ✅ Free to use for **personal, academic, and research purposes**. | |
| - ❌ Commercial use, redistribution, or integration into commercial systems without prior authorization is **strictly prohibited**. | |
| - 📚 Derivative works must be shared under the same license. | |
| The core technology behind Purem remains proprietary and licensed separately under commercial terms. | |
| This Space is intended solely for **demonstration and non-commercial research**. | |
| --- | |
| ## ⚙️ How It Works | |
| Upon clicking "Run", you can launch benchmark tests showcasing Purem’s superior performance compared to traditional frameworks. | |
| All calculations are performed **locally** within the HuggingFace environment using a secured and notarized execution path. | |
| --- | |
| ## 📈 Why Purem? | |
| | Feature | Purem | NumPy | PyTorch | | |
| |:---|:---|:---|:---| | |
| | **Average Softmax Time (10M elements)** | 0.31 ms | 112.4 ms | 133 ms | | |
| | **Estimated Cloud Cost (per 1M executions)** | $0.84 | $233,000 | $276,000 | | |
| | **Memory Stability** | ✅ Yes | ❌ No | ❌ No | | |
| | **Warm-up Required** | ❌ No | ✅ Yes | ✅ Yes | | |
| Purem enables significant enterprise-level cost savings — up to **$2M+ per month** for large-scale AI/ML infrastructures. | |
| --- | |
| ## 📜 Legal Notice | |
| Purem's demo binaries are **fully licensed, notarized, and protected**. | |
| Reverse engineering, unauthorized use, or any form of tampering with the execution layer is prohibited under applicable law. | |
| All rights reserved © 2025 Work TIF Ltd. | |
| --- | |
| ## 📬 Contact Us | |
| For inquiries, commercial licensing, or partnership opportunities: | |
| - **Email**: [support@worktif.com](mailto:support@worktif.com) | |
| - **Phone**: +48 (881) 592-968 | |
| - **Address**: Szwedzka 4, 03-419 Warszawa, Poland | |
| --- | |
| > **Experience the future of AI & Scientific Computing with Purem.** | |
| > **Test it today. Accelerate tomorrow.** |