Distributed Systems • Cloud Native • Research

Tracking the systems behind modern compute.

A focused digest of distributed computing, cloud-native infrastructure, and engineering research from authoritative sources.

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Kubernetes

Kubernetes v1.37: Introducing Node Lifecycle Conditions

Kubernetes has many ways to describe what is happening on a Node. Readiness, taints, Pod state, labels, annotations, and provider-specific APIs each expose part of the picture. What has been missing is a shared, Kubernetes-owned way to say that a Node is draining , undergoing maintenance, or undergoing Graceful Node S…

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CNCF

How cloud native goes AI native

“A sales guy writing code” used to be the lead-up to a joke. But now no one’s laughing. Designers used to sit meekly waiting for the high priests of code to make their designs real. Now...

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arXiv Distributed Computing

The 2M Multiplication Algorithm for Complex Matrices

arXiv:2609.05419v1 Announce Type: new Abstract: Complex matrix multiplication is typically computed using 4 real matrix multiplications (GEMMs) of the same size. The well-known 3M multiplication algorithm reduces this cost to 3 real GEMMs, together with quadratic time pre- and post-processing steps. In this paper, we…

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arXiv Distributed Computing

Sustained 70B-Class AWQ Inference on a Single NVIDIA L20: Throughput, Stability, Energy, and Quality Characterization

arXiv:2609.05420v1 Announce Type: new Abstract: Serving 70B-class open-weight language models is usually associated with 80GB accelerators, tensor-parallel multi-GPU systems, or vendor-managed inference profiles. This technical report evaluates whether a single NVIDIA L20 48GB GPU can sustain a useful 70B-class quanti…

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arXiv Distributed Computing

STORE: Self-Provisioning Storage-as-a-Service for Serverless Functions

arXiv:2609.05422v1 Announce Type: new Abstract: Serverless computing provides on-demand elasticity, pay-per-use, and simplified deployment. However, serverless functions are typically stateless and depend on external storage services such as object stores or databases to exchange data or support stateful functions. Pr…

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arXiv Distributed Computing

Measurement-Driven Diagnosis and Mitigation of Host-CPU Co-location Interference in Single-GPU LLM Serving on a Multi-GPU Server

arXiv:2609.05425v1 Announce Type: new Abstract: Host CPUs in GPU servers are often under-used during LLM inference. Co-locating CPU workloads can improve resource use, but it can also seriously hurt serving quality. Existing work mainly improves LLM serving engines or studies CPU-GPU boundary delays. It gives limited…

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arXiv Distributed Computing

Towards Decentralized Registries for Assets Metadata Information

arXiv:2609.05430v1 Announce Type: new Abstract: The effort to tokenize non-currency assets faces several hurdles, including the lack of a scalable decentralized computing infrastructure to manage asset-related metadata. While the centralized securities depository model has served the financial industry well for severa…

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arXiv Distributed Computing

Toward Sustainable Distributed LLM Inference: A Systems Synthesis and Research Agenda for an Energy-, Carbon-, and Cache-Aware llm-d Control Plane

arXiv:2609.05565v1 Announce Type: new Abstract: Large language model (LLM) sustainability is increasingly a serving-systems problem, not only a training problem. In production, energy and carbon impact depend on more than model size: workload shape, batching, key-value (KV) cache reuse, prefill/decode placement, model…

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arXiv Distributed Computing

Sharpedo: Dual-Mode Uncertified DAG-Based Consensus Protocol

arXiv:2609.05580v1 Announce Type: new Abstract: Mysticeti and Mahi-Mahi represent leading approaches to consensus protocols, leveraging a novel uncertified Directed Acyclic Graph data structure to achieve substantial performance benefits compared to prior work. Mysticeti and Mahi-Mahi differ in their underlying networ…

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