--- title: Purem Benchmark Demo emoji: πŸ”₯ colorFrom: gray colorTo: gray sdk: gradio pinned: true card: >- https://cdn-uploads.huggingface.co/production/uploads/652e609089e73c5e699f2aed/cJiEoW0bSw6vNt237yvSc.png thumbnail: >- https://cdn-uploads.huggingface.co/production/uploads/652e609089e73c5e699f2aed/cJiEoW0bSw6vNt237yvSc.png short_description: 'Purem: Unlock Supercomputer-Grade AI Locally on Your MacBook' --- # πŸš€ 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** β€” no payment, no catch β€” 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**). --- ## πŸ“Š 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. --- ## πŸ”‘ 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. --- ## πŸ“š Official Comparing References: - **OpenAI FlashAttention**: *Fast and Memory-Efficient Exact Attention with IO-Awareness* β€” Tri Dao et al., 2022 [https://lnkd.in/dJw9wAux](https://lnkd.in/dJw9wAux) - **FlexAttention**: *The Flexibility of PyTorch with the Performance of FlashAttention* β€” 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**. --- ## πŸ“’ 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** β€” the next generation computational engine delivering up to **429Γ— faster** AI and scientific calculations. πŸš€ **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. --- --- ## 🌟 Key Highlights - **Ultra-Fast Compute**: Purem outperforms industry-standard tools like NumPy, PyTorch, and JAX. - **Seamless Python Integration**: No rewrites, no complexity β€” 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. --- ## πŸ”₯ Demo Capabilities This Space demonstrates **Purem’s core benchmark performance** on realistic workloads, such as: - **Softmax Computations** (up to 360Γ— 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. --- ## πŸ›‘ License & Usage - **License**: [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) - **Summary**: - βœ… Free to use for **personal, academic, and research purposes**. - ❌ Commercial use, redistribution, or integration into commercial systems without prior authorization is **strictly prohibited**. - πŸ“š 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**. --- ## βš™οΈ 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. --- ## πŸ“ˆ 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** | βœ… Yes | ❌ No | ❌ No | | **Warm-up Required** | ❌ No | βœ… Yes | βœ… Yes | Purem enables significant enterprise-level cost savings β€” up to **$2M+ per month** for large-scale AI/ML infrastructures. --- ## πŸ“œ 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 Β© 2025 Work TIF Ltd. --- ## πŸ“¬ 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.**