Cédric Jover | DeepTech & Optimization

Building autonomous mathematical optimization kernels. Pure Python/NumPy, bit-exact benchmarks. Founder @ AlphaLab-ZeroDisk.

[Cédric Jover | DeepTech & Optimization @Thorlan04]

Can mathematical optimization beat Google & MIT heuristics without heavy solver bloat?

We benchmarked standard heuristics against 5,450 evolved formulas.

Result: +1.16% fewer nodes vs Best-Fit L2 (+3.66% vs First-Fit) in pure NumPy. 🧵👇

[Cédric Jover | DeepTech & Optimization @Thorlan04]

Interactive ROI calculator & live telemetry:
👉 https://t.co/DsShvWzpET

Commercial licenses for enterprise clusters on Polar:
👉 https://t.co/uh4LmKWwfN

#Python #DevOps #Kubernetes #FinOps

[Cédric Jover | DeepTech & Optimization @Thorlan04]

Can mathematical optimization beat Google & MIT heuristics without heavy solver bloat?

We benchmarked standard heuristics against 5,450 evolved formulas.

Result: +1.16% fewer nodes vs Best-Fit L2 (+3.66% vs First-Fit) in pure NumPy. 🧵👇

[Cédric Jover | DeepTech & Optimization @Thorlan04]

Evaluation is 100% deterministic & bit-exact.

Shoutout to open-source: PR #1 was just merged on GitHub to add deterministic candidate regression fixtures!

Open benchmarks & test suites:
👉 https://t.co/MeBbPb7WmJ

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[Cédric Jover | DeepTech & Optimization @Thorlan04]

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