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| title: README | |
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| # About PhalaCloud | |
| [Phala Cloud](https://phala.com) provides confidential infrastructure for open models, private inference, and verifiable AI workloads. | |
| Phala helps teams run LLMs, agents, and GPU workloads inside hardware-backed trusted execution environments, keeping prompts, data, and runtime secrets private while preserving proof of what ran. | |
| On Hugging Face, we publish model artifacts, benchmarks, datasets, and research resources for confidential AI workflows. | |
| ## Research | |
| - [Dstack: A Zero Trust Framework for Confidential Containers](https://arxiv.org/abs/2509.11555) | |
| - [Confidential Computing on NVIDIA Hopper GPUs: A Performance Benchmark Study](https://arxiv.org/abs/2409.03992) | |
| - [Implement Kubernetes Pod-Level Remote Attestation for Confidential Workloads on dstack](https://arxiv.org/abs/2606.03323) | |
| - [LegalCiteBench: Evaluating Citation Reliability in Legal Language Models](https://arxiv.org/abs/2605.10186) | |
| - [PASS: A Provenanced Access Subaccount System for Blockchain Wallets](https://arxiv.org/abs/2604.22602) | |
| - [Persistent BitTorrent Trackers](https://arxiv.org/abs/2511.17260) | |
| ## Hub resources | |
| - Model: [PhalaCloud/GLM-5.2-W4AFP8](https://huggingface.co/PhalaCloud/GLM-5.2-W4AFP8) | |
| - Legal citation leaderboard: [PhalaCloud/legal-citation-leaderboard](https://huggingface.co/spaces/PhalaCloud/legal-citation-leaderboard) | |
| - Legal citation datasets: [PhalaCloud datasets](https://huggingface.co/PhalaCloud/datasets) | |
| - Cloud: [cloud.phala.com](https://cloud.phala.com) | |
| - Trust Center: [trust.phala.com](https://trust.phala.com) | |
| - GitHub: [github.com/Phala-Network](https://github.com/Phala-Network) | |