asically, model collapse happens when the training data no longer matches real-world data, leading the new LLM to produce gibberish, in a 21st-century version of the classic computer aphorism “garbage in, garbage out.”
As AI workloads scale to thousands of accelerators, the interconnect fabric (also known as a scale-up fabric) for rack-scale systems is under intense scrutiny. Significant advancements are reshaping scale-up connectivity in 2025.
Standardized in 2021, QUIC is a UDP-based protocol designed to improve upon the TCP / TLS stack. While the QUIC protocol recommends pacing, and congestion control algorithms like BBR rely on it, the user-space nature of QUIC introduces unique challenges.
According the Google Cloud’s mini incident report, the issue occurred due to an invalid automated quota update to the API management system, which was distributed globally, causing external API requests to be rejected.
The specification details enhancements to Ethernet that improve low-latency transport in high-throughput networking deployments. It includes a modern Remote Direct Memory Access (RDMA) approach, direct memory access implementations, transport protocols, and congestion control mechanisms.
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