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…
The question that stopped the meeting It was a routine cost review. The slide showed the month’s GPU spend, the biggest line on the whole infrastructure bill, and someone asked a five-word question: “Are we using...
“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...
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…
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…
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…
arXiv:2609.05424v1 Announce Type: new Abstract: Embodied intelligent computing integrates perception, computation and control. Traditional separate deployment of the three tasks leads to frequent data transmission, high latency and low hardware efficiency, failing to satisfy millisecond-level real-time requirements in…
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…
arXiv:2609.05426v1 Announce Type: new Abstract: Property Directed Reachability (PDR) is a commonly used technique for automated hardware model checking, yet efficiently parallelizing it remains a significant challenge. Existing approaches, such as lemma sharing, often suffer from limited scalability as processor count…
arXiv:2609.05427v1 Announce Type: new Abstract: Space data centers built from Low-Earth Orbit (LEO) satellite constellations are gaining increasing attention as a scalable computing infrastructure. With access to abundant solar energy and high-throughput optical inter-satellite links, such constellations can run AI wo…
arXiv:2609.05428v1 Announce Type: new Abstract: We present a new technique for application-transparent incremental checkpointing in speculative simulation, referred to as {\em Grid Checkpointing}. With our proposal, we fully separate the interception of memory update operations from memory-map management. This enables…
arXiv:2609.05429v1 Announce Type: new Abstract: Computational Fluid Dynamics (CFD) relies heavily on the efficiency of linear solvers based on sparse linear algebra kernels. Widely used frameworks like OpenFOAM exploit parallelism primarily at the domain decomposition level via MPI. Support for vector/SIMD architectur…
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…
arXiv:2609.05443v1 Announce Type: new Abstract: High-performance computing (HPC) workloads consume substantial amounts of electricity, and their carbon emissions vary over time with the carbon intensity of grid electricity. However, uncoordinated shifting of carbon-aware HPC jobs toward low-carbon periods can concentr…
arXiv:2609.05463v1 Announce Type: new Abstract: AI-powered search products such as ChatGPT search, Google's AI Overviews, and Perplexity provide LLM-synthesized answers grounded in live web results. We developed OreoLook (formerly lixSearch), an open-source answer engine using automated browser agents and provider-rou…
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…
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…