README.md

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title: Purem Benchmark Demo
emoji: 🔥
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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/

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.

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🔑 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

• FlexAttention: The Flexibility of PyTorch with the Performance of FlashAttention — PyTorch Blog, 2024
  https://lnkd.in/dYVGiq_h

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🌍 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.

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📢 Hashtags

#Innovation #Technology #DigitalTransformation #ArtificialIntelligence #Startups
#AI #MachineLearning #DeepLearning #EdgeComputing #OpenSource
#Apple #AppleSilicon #M2Chip #Softmax #FlashAttention #Xformers

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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.

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🛡 License & Usage

• License: CC 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.

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⚙️ 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.

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📈 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.

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📜 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.

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📬 Contact Us

For inquiries, commercial licensing, or partnership opportunities:

• Email: support@worktif.com
• Phone: +48 (881) 592-968
• Address: Szwedzka 4, 03-419 Warszawa, Poland

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Experience the future of AI & Scientific Computing with Purem.
Test it today. Accelerate tomorrow.