空间和时间（SXT）发展高效的零知识供奉献者

空间和时间（SXT）是一种用于ZK Proven数据的突出平台区块链，它开发了一个高效的零知识供供众议员，该供供处理SQL查询

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.

空间和时间（SXT）是用于ZK经过的数据的领先平台链，它揭示了优化了高效的零知识供供商，用于快速处理分析中使用的SQL查询。

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.

该系统与NVIDIA的GPU加速度具有集成和优化，可以处理超过100万行的数据量，将空间和时间定位为使用零知识证明验证大型数据库的首要选择。

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.

时空工程师于周四通过博客文章宣布，已经开发了一种高级宣传员，能够快速生成标准SQL查询的证明，并展示其在处理大型数据库方面的效率。

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

该技术由Stark（可扩展透明的抗恶化运行时）系统的自定义变体，这是一种突出的零知识证明技术。

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

这种集成对于实现大型数据集的有效和私人分析至关重要，这可以满足对可验证计算的需求不断增长的需求。

As explained by Space and Time:

如空间和时间所述：

"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."

“该合作伙伴关系为更严重的用例（例如分析查询）解锁可验证的计算，该解决方案有助于减轻ZK证明可能引起的瓶颈。我们正在稳步在Github上发布该系统的公共基准。”

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.

时空工程师的贡献是开源的，可促进有兴趣部署供奉献者或将其集成到其系统中的公司和用户的采用。

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

该计划与时空和时间的更广泛的使命相吻合，以扩大零知识技术在各个领域的采用和实用性。