OpenAI introduced GPT-5.2 and GPT-5.3 Codex, both trained on NVIDIA's infrastructure, showcasing significant performance gains in coding and reasoning tasks. The models achieve top scores on various industry benchmarks, reflecting advancements in AI training techniques. NVIDIA's powerful systems enable faster development cycles for AI applications.

DeepSeek's 3FS distributed file system benchmarks are analyzed through a "performance reality check" method that compares reported metrics against theoretical hardware limits. The analysis highlights potential bottlenecks in network and storage components, particularly focusing on an AI training workload, where network bandwidth was identified as the primary limiting factor despite impressive throughput figures. This approach aims to validate performance claims and guide optimization strategies before extensive benchmarking.