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1高通发力AI软件生态:收购Modular打造统一软件栈,推进Mojo语言多端支持81 热度 ⌁2Black Forest Labs 推出开源具身智能模型 FLUX 3 Action75 热度 ⌁3谷歌云 API Gateway 支持 MCP:将 REST API 原生转化为 AI Agent 工具74 热度 ⌁4Sakana AI聘请AI先驱Jürgen Schmidhuber担任首席科学顾问74 热度 ⌁5谷歌、OpenAI与Anthropic拟联合组建AI安全标准自律组织SAFA73 热度 ⌁
7月15日2026-07-15
Kubernetes Blog✦ 精选规则精选02:00

Building a Custom Metrics Exporter for Kubernetes

Kubernetes ships with built-in awareness of CPU and memory, but most real-world scaling decisions depend on signals that live entirely outside that narrow window: how many messages are waiting in a queue, how long the last batch job took, how many active WebSocket connections a pod is holding. When the built-in metrics are not enough, a metrics exporter bridges that gap. This post walks through writing one from scratch, packaging it as a container, and wiring it into a cluster so that Prometheus — and ultimately the HorizontalPodAutoscaler — can consume it. What a metrics exporter actually does An exporter is a small HTTP server with a single

7月11日2026-07-11
Transformers 更新✦ 精选规则精选17:15

Patch release v5.13.1

Patch release v5.13.1 This patch is focused on enabling transformers for the latest release of vllm! Be more defensive with remap_legacy_layer_types for custom models ( #47245 ) from @hmellor Fix custom code which doesn't know about the new linear layer type names ( #47174 ) from @hmellor Fix case where _LazyAutoMapping.register is passed a str key ( #47148 ) from @hmellor

6月25日2026-06-25
Kubernetes Blog✦ 精选规则精选02:00

Spotlight on WG Device Management

The rising popularity of AI, Edge, and Telecommunications workloads on Kubernetes has led to new requirements for hardware management. We now need hardware specification beyond CPU time and memory allocations. This includes allocating GPUs, TPUs, network interfaces, and other hardware, sometimes after pod start and occasionally through time-sharing. Efficiently managing this specialized hardware is the mission of the Device Management Working Group . Their cornerstone project, Dynamic Resource Allocation (DRA) , recently graduated to GA, marking a fundamental shift in how the project handles hardware-intensive workloads at scale. In this spot

6月16日2026-06-16
Transformers 更新✦ 精选规则精选01:29

Patch release v5.12.1

Patch release v5.12.1 Updated the lower bound for PEFT and a fix for auto tokenizer to properly resolve the mistral tokenizer (when mistral-common is installed). This is similar to v.5.10.3 minus the fixes that were already included in the main release - vLLM will first target 5.10.3 🤗 Fix peft lower bound #46605 by @hmellor ( #46605 ) mistral common backend fix #46667 by @itazap ( #46667 ) Full Changelog : v5.12.0...v5.12.1

6月13日2026-06-13