The first full weekend with GPT-6 Astra in everyone's hands, and the interesting findings are the unglamorous ones nobody put in a launch video. You can now change reasoning effort mid-conversation without invalidating the prompt cache , because the effort change is appended to the end of the context instead of rewriting the top. Codex has an experimental compaction mode where Astra keeps notes across context windows and can search earlier windows including tool calls, off by default and buried in a TOML flag. The hallucination-rate drop is on pages 20 and 21 of the system card and OpenAI barely mentioned it. Third parties are filling in the
Kubernetes v1.37 promotes the KubeletInUserNamespace feature gate to beta. With this feature enabled, all of the node components (kubelet, CRI and OCI runtimes, CNI plugins, and kube-proxy) can run as a non-root user on the host, using a Linux user namespace . This technique is also known as rootless mode . The work started as an experiment in 2018, and was merged into Kubernetes v1.22 (2021) as an alpha feature (Kubernetes Enhancement Proposal KEP-2033 ). This feature should not be confused with user namespaces for pods ( hostUsers: false with the UserNamespacesSupport feature gate, GA since v1.36), which puts pods in user namespaces but sti
Running reasoning and agentic AI at the edge has been harder than it needs to be. Until recently, models capable of multi-step reasoning were too large to run...
Recursive self-improvement is touted as AI’s next major milestone. If it’s ever achieved, the impact will be felt across the data center industry and far beyond.
Modern AI platforms are no longer a single application behind one login screen. A user may start in a central portal, open a governed dataset, launch a notebook...
AI data centers' massive capital investments are at risk from corrosion, which begins during construction – not operations – yet preservation is rarely included in project governance or early planning.
Use production traffic and security signals to prioritize findings, prepare edge mitigations when safe, and propose code patches. By combining WAF data with OpenAI Daybreak models, Vulnerability Discovery and Remediation helps teams identify and patch the most critical threats first.
The recognition for Microsoft over the past couple of weeks comes down to models, infrastructure, data, applications, and developer tools working as one system when AI moves into production. The post Enterprise AI transformation relies on the end-to-end platform: Azure was built for this moment appeared first on Microsoft Azure Blog .
Kubernetes 1.37 is here and Dynamic Resource Allocation (DRA) keeps pushing past where it started! This release brings DRA Extended Resource support to GA, a milestone the team has been building toward for three straight releases. Several more features graduate to Beta or GA. A fresh batch of alpha features rounds out the release. I'll dive into what's new for DRA in Kubernetes 1.37! What's stable in 1.37 DRA Extended Resource support has graduated to GA. This is the mechanism that lets DRA drivers satisfy requests made through the traditional extended resource API, think example.com/gpu in a Pod spec, without requiring a separate device plug
GPT-6 Astra, OpenAI's newest frontier model, begins rolling out today through the Microsoft Foundry Limited Access Program, with availability expanding to participating customers over the coming days. The post GPT-6 Astra: Frontier intelligence for work, now generally available in Microsoft Foundry appeared first on Microsoft Azure Blog .
Learn how Microsoft used Azure Arc and Azure Virtual Desktop to simplify hybrid security operations, improve visibility, and scale globally. The post How Microsoft’s Physical Security Engineering Team scaled hybrid operations with Azure Arc and Azure Virtual Desktop appeared first on Microsoft Azure Blog .
Power and water aren’t the only constraints on new builds. In many markets, fiber access and diversity now determine where facilities can be located and how quickly they can scale.
Launch season rolled on without a pause. Meta shipped Muse Spark 1.3 with an open-weights promise and a pricing model that is 90% cheaper if you let them train on your traffic, and the model is good enough that Simon Willison's five-level pelican run cost less than eight cents at its most expensive. Google shipped Gemini 3.8 Flash and a trusted-defenders-only Flash Cyber , pulled the blog post within hours, and left a thousand-comment Hacker News thread arguing over whether a Flash model that benchmarks like Opus 5 means Google is back or that Google has given up on frontier models for the public. Simon Willison diffed the Fable 5.1 system pr
AWS is building a 420 Tbps subsea cable between Japan and Washington State, which is scheduled to enter service in 2029, to support AI workloads and expand trans-Pacific network capacity.
Effective protection depends on early design integration and a holistic approach that considers building construction, emergency procedures, and operational resilience – not just code compliance.
Kubernetes v1.37 includes API support for horizontal autoscaling of workloads down to zero replicas. This feature is now Beta and enabled by default. A HorizontalPodAutoscaler (HPA) that uses a suitable object metric or external metric can now scale a workload to zero replicas, then bring it back when the metric changes. Before v1.37, you needed an add-on or external component, or you had to enable the Alpha feature gate, to scale from zero. It is now part of core Kubernetes. Scaling to zero removes the last idle Pod from workloads such as queue consumers and batch processors. The savings are largest when each Pod reserves expensive resources
This post is the third in a series on AI model co-design. It explores how to accelerate LLM inference while maintaining accuracy using speculative decoding and...
While alternatives to evaporative cooling exist, most data centers don’t adopt them because the economics currently don’t justify the higher capital costs and operational complexity.
I am excited to announce that etcd RangeStream is graduating to beta in Kubernetes v1.37. Paired with etcd v3.7, it reduces the memory the API server and etcd need to read a large collection, and makes peak usage more predictable. The cost of large reads The API server serves most list and watch requests from its in-memory watch cache. Populating that cache requires reading a resource's full state from etcd, at startup and on every re-initialization. For a resource with many objects, or large ones, such as Pods, that read is expensive. The API server already paginated these reads, asking etcd for a fixed number of keys at a time rather than t
AI is reshaping the construction lifecycle. At Ai4 2026, AEC leaders shared how firms are applying AI across design, logistics, safety, and operations, while tackling data standards, culture change, and scaling.
The surge in AI adoption is transforming everything from chatbots to content generation. Still, a common pain point remains: How can organizations confidently...
Learn how to build a hybrid cloud orchestration solution that manages distributed on-premises infrastructure at scale using AWS serverless technologies and Amazon EKS Anywhere. Part 1 covers the core event-driven architecture patterns for automating server lifecycle and cluster management across hundreds of sites.
Amazon EC2 R9g and R9gd instances powered by AWS Graviton5 are now generally available, delivering up to 25% better compute performance than R8g, ideal for databases, in-memory caches, and real-time analytics.