空間和時間（SXT）發展高效的零知識供奉獻者

空間和時間（SXT）是一種用於ZK Proven數據的突出平台區塊鏈，它開發了一個高效的零知識供供眾議員，該供供處理SQL查詢

Space and Time (SxT), a leading platform chain for ZK-proven data, has unveiled a highly efficient zero-knowledge prover optimized for rapid processing of SQL queries used in analytics.

空間和時間（SXT）是用於ZK經過的數據的領先平台鏈，它揭示了優化了高效的零知識供供商，用於快速處理分析中使用的SQL查詢。

The system, boasting integration and optimization with NVIDIA’s GPU acceleration, can handle data volumes exceeding one million rows, positioning Space and Time as the premier choice for verifying large databases using zero-knowledge proofs.

該系統與NVIDIA的GPU加速度具有集成和優化，可以處理超過100萬行的數據量，將空間和時間定位為使用零知識證明驗證大型數據庫的首要選擇。

Announced via blog post on Thursday, Space and Time’s engineers have developed an advanced prover capable of quickly generating proofs for standard SQL queries, showcasing its efficiency in handling large-scale databases.

時空工程師於週四通過博客文章宣布，已經開發了一種高級宣傳員，能夠快速生成標準SQL查詢的證明，並展示其在處理大型數據庫方面的效率。

The technology is powered by a custom variant of the STARK (Scalable Transparent Anti-Aliased RUntime) system, a prominent zero-knowledge proof technology.

該技術由Stark（可擴展透明的抗惡化運行時）系統的自定義變體，這是一種突出的零知識證明技術。

This integration is crucial for enabling efficient and private analysis of large datasets, catering to the increasing demand for verifiable computing.

這種集成對於實現大型數據集的有效和私人分析至關重要，這可以滿足對可驗證計算的需求不斷增長的需求。

As explained by Space and Time:

如空間和時間所述：

"This partnership unlocks verifiable computing for more serious use cases like analytic queries, and this solution helps to mitigate the bottleneck that ZK proofs can cause. We are steadily publishing the public benchmarks for the system on GitHub."

“該合作夥伴關係為更嚴重的用例（例如分析查詢）解鎖可驗證的計算，該解決方案有助於減輕ZK證明可能引起的瓶頸。我們正在穩步在Github上發布該系統的公共基準。”

The contributions of Space and Time’s engineers are open source, facilitating adoption by firms and users interested in deploying the prover or integrating it into their systems.

時空工程師的貢獻是開源的，可促進有興趣部署供奉獻者或將其集成到其係統中的公司和用戶的採用。

This initiative aligns with Space and Time’s broader mission to expand the adoption and utility of zero-knowledge technology across various sectors.

該計劃與時空和時間的更廣泛的使命相吻合，以擴大零知識技術在各個領域的採用和實用性。