Keda
PulseAugur coverage of Keda — every cluster mentioning Keda across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Local LLM accuracy boosted from 1/10 to 9/10 with RAG implementation
The author details their experience implementing Retrieval-Augmented Generation (RAG) to improve the accuracy of a locally hosted LLM, OzAI, running on a MacBook Pro M1 Pro. Initially, the LLM, a Qwen3 8B model served v…
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RAG platform scaling solution uses event-driven queues and Spot Compute
This article details an event-driven architecture for scaling Retrieval-Augmented Generation (RAG) platforms, particularly for handling large volumes of enterprise documents. The proposed solution uses decoupled asynchr…
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Four tribes launch prediction apps with Kalshi, dividing Native American industry
Four Native American tribes have launched prediction market apps in partnership with Kalshi, a leading event contract platform. This move signals a division within Native American communities regarding prediction market…
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vLLM autoscaling flapping fixed by choosing better signals
This article addresses the issue of "flapping" in vLLM autoscalers, where pods rapidly cycle between running and failing states, leading to increased costs and latency. The author explains that this problem often stems …
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Chinese Companies Forecast Strong H1 2026 Profits Amidst Market Recovery
Several Chinese companies have announced strong first-half profit forecasts for 2026, indicating a positive economic outlook. Oceanwide Information anticipates a net profit increase of 41.50% to 52.32%, while Jiangsu Fe…
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Kubernetes operators enable scale-to-zero for LLM serving
New Kubernetes operators are emerging to address the cost of running large language models, particularly the issue of idle GPUs burning money. Hearth, an alpha-stage operator, allows users to declaratively serve open-so…