| --- |
| pretty_name: "The Hidden Canopy | Three GPU Optimization Receipts" |
| license: other |
| language: |
| - en |
| tags: |
| - gpu |
| - machine-learning |
| - performance |
| - training |
| - cuda |
| - opencl |
| - nvidia |
| - amd |
| - benchmark |
| --- |
| |
| # Three GPU optimization receipts |
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| Three **curated, hardware-specific research benchmark summaries** from The Hidden Canopy. Published for reproducible discussion of measured or explicitly projected performance and its limits. The JSON documents are the three receipts; this README is only the dataset card. |
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| | Receipt | Device | Headline | Status | |
| | --- | --- | --- | --- | |
| | AMD OpenCL hybrid | Radeon 610M / gfx1036 | 13.12 → 107.31 tokens/s; about 8.18× on Swift-shaped canary | Internally reported completed test, CPU/GPU hybrid | |
| | Omni native training | RTX 4050 Laptop | ~82 → ~1,900 tokens/s; ~170× projected cumulative wall-time improvement | Published source JSON; optimized full-run time is **estimated** | |
| | 1F1B pipeline | 2× RTX 5090 | 42,213 → 53,968 tokens/s; +27.9% on matched small ablation | Internally reported 20-microstep experiment | |
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| ## Read before comparing |
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| These are **three different workload shapes**, not three entries in a common model-throughput ranking. No claim is made that they outperform vendor-native NVFP4, AMD Instinct, or any unrelated production benchmark. |
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| The RTX 4050 ~170× number is **a projection**, not a completed full-run stopwatch result. The AMD receipt includes work performed on CPU as well as GPU. The dual-5090 result is a short, matched pipeline ablation rather than a completed convergence test. |
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| No private host addresses, user directory paths, infrastructure credentials, proprietary weights, or unrelated source files are part of this release. Original private-repository reports remain private. No independent third-party audit is implied. |
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| The receipt IDs and source references are provided so the owner can produce the underlying run material to a qualified verifier. |
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