# tensorpool.dev

> AI-optimized mirror of tensorpool.dev containing 19 pages totalling 5,787 words of clean markdown content, structured data, and semantic HTML. Original source: https://tensorpool.dev/. Last updated: 2026-05-01T14:06:30.173Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [You focus on the models.](/site-root.html): Deploy GPU clusters in seconds with TensorPool. Simple, fast, and affordable GPU infrastructure for ML training and inference. (205 words)

## Articles & Blog Posts

- [blog/object-storage/index.html](/blog/object-storage/index.html) (1 words)
- [Why B200s Are Cheaper for Large-Scale Training Than H100s](/blog/gpu-price-performance-comparison-2025/index.html): Despite 2x higher hourly costs, B200 GPUs deliver 10-20% lower total training costs for large models. Here's the math. (797 words)
- [Introducing TensorPool Jobs: Git-Style GPU Workflows](/blog/tensorpool-jobs/index.html): Run your ML training jobs like you push code to GitHub. Pay only for runtime, get your results back automatically. (760 words)
- [Getting Started with the TensorPool CLI](/blog/tensorpool-cli-guide/index.html): A comprehensive guide to managing your GPU infrastructure from the command line with our powerful CLI tool. (586 words)
- [How ZeroEntropy Trained the zerank Model Family on TensorPool](/blog/zeroentropy-zerank-training/index.html): How ZeroEntropy's reranker models achieved SOTA performance through innovative training methods and elastic GPU access. (472 words)
- [Why Fast NFS Storage Matters for ML Training](/blog/fast-nfs-storage-ml-training/index.html): How TensorPool's high-performance NFS storage eliminates I/O bottlenecks and accelerates your machine learning workflows. (550 words)
- [Introducing nb.dev: A Cracked Jupyter Notebook for ML](/blog/introducing-nb-dev/index.html): Jupyter notebooks are broken for ML. We built nb.dev — an ML-first notebook with GPU attach, full machine snapshots, and one-click branching for parallel experimentation. (632 words)
- [Get $20 Free Credits](/free-credits/index.html): Deploy GPU clusters in seconds with TensorPool. Simple, fast, and affordable GPU infrastructure for ML training and inference. (88 words)
- [Terms & Conditions](/terms/index.html): Deploy GPU clusters in seconds with TensorPool. Simple, fast, and affordable GPU infrastructure for ML training and inference. (639 words)
- [GPU Pricing & Specs](/pricing/index.html): Deploy GPU clusters in seconds with TensorPool. Simple, fast, and affordable GPU infrastructure for ML training and inference. (171 words)
- [Privacy Policy](/privacy/index.html): TensorPool's privacy policy outlines how we collect, use, and protect your personal information when using our GPU cluster services. (512 words)
- [TensorPool Blog](/blog/index.html): Insights, tutorials, and updates from the TensorPool team on GPU infrastructure, distributed computing, and AI workload optimization. (288 words)
- [discord/index.html](/discord/index.html) (1 words)
- [slack/index.html](/slack/index.html) (1 words)
- [Partner with TensorPool](/partners/index.html): Deploy GPU clusters in seconds with TensorPool. Simple, fast, and affordable GPU infrastructure for ML training and inference. (61 words)
- [docs/index.html](/docs/index.html) (1 words)
- [Join Our Community](/community/index.html): Deploy GPU clusters in seconds with TensorPool. Simple, fast, and affordable GPU infrastructure for ML training and inference. (14 words)
- [TensorPool](/login/index.html): Deploy GPU clusters in seconds with TensorPool. Simple, fast, and affordable GPU infrastructure for ML training and inference. (8 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/content/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/content/robots.txt): Crawler directives