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DeepSeek credits Tencent for major performance boost in open-source frameworkDeepEP

Tencent's tech team has optimized the open-source DeepEP framework by DeepSeek, resulting in a 100% performance improvement on RoCE networks and a 30% gain on InfiniBand, enhancing AI model training efficiency. The updates have been recognized on GitHub and are now fully open-source, demonstrating strong versatility within Tencent's server environments.

Key points

  • Tencent optimized DeepSeek’s DeepEP framework, targeting bottlenecks identified in NIC bandwidth and CPU latency.
  • Performance improvements: 100% on RoCE networks, 30% on InfiniBand.
  • DeepEP supports low-latency, high-throughput GPU kernels and low-precision computing.
  • The enhancements were successfully deployed in training Tencent's large Hunyuan model.

Why it matters

  • Open-source frameworks are increasingly crucial for AI model training, especially with the rise in demand for efficient computing solutions.
  • The push towards optimized communication frameworks aligns with the 2025 IT trend of maximizing resource efficiency in cloud computing and AI deployments.
  • Tencent's contributions reflect broader industry trends where major tech firms collaborate on open-source projects to improve performance.

The collaboration between Tencent and DeepSeek marks a significant advancement in AI communication frameworks, underscoring the importance of optimizing technology to meet growing computational demands.