Di era teknologi otomotif yang semakin maju, kendaraan modular pengangkut robot penyusun jalur logistik menawarkan inovasi signifikan untuk mengatasi tantangan medan ekstrim seperti sungai lumpur vulkanik. Saat ini, kebutuhan akan sistem logistik yang mampu beroperasi di lingkungan alam yang sulit semakin mendesak, terutama di wilayah yang rawan aktivitas vulkanik dan kondisi medan berlumpur berat. Kendaraan modular ini menjadi jawaban tepat untuk memperkuat rantai pasok sekaligus meningkatkan efisiensi pengiriman barang dan peralatan di wilayah terpencil dengan medan yang sulit dilalui.
Sungai lumpur vulkanik merupakan fenomena alam yang melahirkan medan berlumpur dengan kandungan material vulkanis yang bersifat abrasif dan korosif. Keberadaan sungai lumpur ini seringkali menjadi hambatan utama bagi kendaraan konvensional yang digunakan dalam keperluan logistik, terutama di daerah-daerah bencana atau lokasi proyek besar yang memerlukan mobilisasi massal. Untuk itu, inovasi otomotif berbasis modular menjadi sebuah kebutuhan wajib dalam menghadirkan kendaraan yang tak hanya kuat dan tahan lama, tetapi juga versatile untuk beradaptasi dengan kondisi medan yang berubah-ubah.
Konsep kendaraan modular sendiri mengacu pada sistem desain kendaraan yang komponen dan fungsinya dapat disesuaikan atau diganti secara fleksibel sesuai kebutuhan misi lapangan. Dalam konteks pengangkutan robot Continue reading
Indonesia semakin menunjukkan kemajuan signifikan dalam bidang teknologi penyimpanan hasil pertanian, terutama melalui inovasi gudang anti tikus yang dikembangkan dengan teknologi lorong resonansi akustik. Temuan terbaru ini memberikan solusi berbasis ilmu pengetahuan untuk permasalahan klasik yang selama ini menghambat sektor agrikultur, yaitu kerusakan hasil panen akibat serangan tikus. Dalam artikel ini, kita akan membahas secara lengkap perkembangan teknologi ini, manfaat yang bisa diperoleh, serta dampaknya bagi petani dan distribusi pangan di Indonesia.
Teknologi gudang anti tikus merupakan inovasi penyimpanan hasil panen yang dirancang khusus untuk mengurangi atau bahkan menghilangkan gangguan tikus secara efektif. Bahasan utama teknologi ini adalah penggunaan lorong resonansi akustik, yaitu prinsip fisika gelombang suara yang dapat mengusir tikus tanpa menggunakan bahan kimia berbahaya.
Teknologi ini dikembangkan oleh sejumlah peneliti Indonesia yang tengah fokus pada peningkatan efektivitas gudang batu sebagai media penyimpanan. Gudang batu sendiri telah lama dipakai oleh petani tradisional karena daya tahan dan kemampuannya menjaga kelembapan hasil panen. Namun, kelemahan utama adalah mudahnya tikus masuk dan merusak hasil panen. Dengan tambahan lorong resonansi akustik, gudang ini menjadi inovasi yang sangat relevan saat ini, di mana kebutuhan akan teknologi ramah lingkungan dan hemat biaya semakin tinggi.
Over the last few weeks, there has been lots of buzz around decision models such as Typesafe AI’s Jev System One model. While classifier models have been around for some time, Jev introduces a new decision model concept into the world of AI — a model that produces bounded structured outputs cheaply, quickly and consistently that can be added into a workflow when a decision is required. These models are capable enough to work over any set of inputs without constantly retraining the model to incorporate new classification categories. This contrasts with the world of Large Language Models (LLMs), which are largely non-deterministic, but are open-ended enough to reason and generate text and tool calls for agentic workloads.
Today, we’re releasing two Cloudflare-trained decision models, Clef and Clef-flash, hosted on Workers AI. Clef is currently the leader when evaluated against the Jev Decision Index, you can view full results on the live benchmark demo site. These models are smarter, faster, and fully Jev-API compatible, so you can experiment with these hosted models easily. We’re fully open-sourcing these models on Hugging Face under an Apache 2.0 license for you to run locally and experiment with yourselves.
Lastly, Continue reading
This post, part of a series on AI data center networking, clarifies the traffic patterns arising from collective communications during GPU operations. It highlights key operations like broadcast, scatter, gather, and reduce, explaining their significance for both training and inference, especially in Mixture-of-Experts models. Understanding these patterns aids in optimizing network performance.
The post Collective Communications: The Operations Behind Every AI Network Flow appeared first on /overlaid.
It's Birthday Week, when we traditionally ship presents to the Internet. This year, two of them come from Europe: EuroLLM, which covers all 24 official EU languages, and Apertus, Switzerland's fully open model, trained on more than 1,500 languages. Both were built by public universities and research institutions. Both are coming to Workers AI, and you can request access today.
We're also launching hands-on workshops that help government cyber agencies and critical infrastructure operators build AI defenses that work with any model. The first runs in Singapore in October.
Today's announcements follow from an argument we made a year ago, when questions about AI access and sovereignty were swirling in national capitals. Our answer was choice: the freedom to pick the right tools for the job, and to switch when you need to.
Since then, those conversations have hardened. Attackers have used frontier models to run cyber attacks. Access to some frontier models now depends on where you are. Calls to restrict open models are getting louder. Put it all together and it's easy to conclude that AI sovereignty is zero-sum: every model another country controls is one you can't count on, so the safe move is to build walls.
Today, Cloudflare Workers is adding support for post-quantum-resistant algorithms within Web Crypto. These are defined in Modern Algorithms in the Web Cryptography API draft community group report, and include:
encapsulateBits(), decapsulateBits(), encapsulateKey(), and decapsulateKey()getPublicKey()SubtleCrypto.supports()For developers preparing for the post-quantum transition, these opt-in Web Crypto APIs make it easier to experiment with ML-KEM and ML-DSA without bundling a separate cryptographic implementation. They do not provide a full migration path, but rather building blocks that can be used to validate your integration.
This support is available behind the webcrypto_modern_algorithms compatibility flag while the specification is still moving.
Web Crypto is one of those APIs you only notice when it lacks the primitive you need. If you want to experiment with newer post-quantum algorithms in a JavaScript environment, it’s hard. You either cannot build the protocol directly on top of Web Crypto, or you bring your own cryptography implementation in JavaScript or WebAssembly.
Neither option is ideal. They put the burden of selecting and maintaining cryptographic implementations on implementers, who see their applications get larger Continue reading
Cloudflare’s AI Search combines Workers AI, Vectorize, R2, and Browser Run into a fully managed index and retrieval pipeline. Since we launched AI Search over a year ago, we’ve seen developers use it to power a wide range of search use cases, from searching internal documentation to powering search for their websites. We use AI Search ourselves to power search on our own blog and developer docs.
Starting today, AI Search is generally available. And as part of it, we've expanded and improved our support for multimodal formats beyond text, adding native image embeddings, optical character recognition (OCR) for PDFs, and support for larger files.
As part of general availability, we’ll start billing for AI Search on November 1, 2026, and continue to offer a generous free tier on all Workers plans.
An image is more than the sentence used to describe it. Product texture, screenshot state, chart relationships, document layout, and fine visual detail can all disappear when pixels are compressed into a caption.
AI Search now preserves both signals: it embeds image pixels directly for visual retrieval while retaining captions for textual understanding. To keep these richer representations efficient, AI Search Continue reading
GitHub was built for a world where humans write code, organize it into repositories, and collaborate through branches, commits, issues, and pull requests.
But the next generation of software is going to be built differently because it is going to be built by a different kind of developer: agents.
Agents are already writing more code than ever before — they’re fixing bugs, building features, writing tests, reviewing changes, updating dependencies, and doing the routine maintenance required to keep an application running.
So in this new world where you have hundreds, or even thousands, of agents working on the same codebase at the same time, what does the foundation look like?
How do agents know what other agents are working on? What happens when they make conflicting changes? How do you review everything they produce? How do you keep track of not just what changed, but why a change was made?
And so the burning question is: What does the next GitHub look like?
We want you to help us answer it, by building it out.
Earlier this year, we launched Artifacts, a versioned filesystem that speaks Git and can scale to millions of repositories. From the start, we designed Continue reading
With traditional Remote Procedure Call (RPC) architectures, there exists a core challenge: producers and consumers must align in scale and in time. If your producers send too much data for your consumers to handle or if your consumers or downstream services become unavailable, events are dropped. This problem is compounded with multiple consumers that need to independently process the data. For example, an ecommerce backend may emit events when transactions are completed, which need to be read by an analytics system and a fraud detection service.
We can solve this by decoupling our producers and consumers — inserting a service in the middle that absorbs writes while allowing independent readers to consume at their own pace.
Today we are launching Cloudflare K2 in public beta to solve this problem. K2 is a durable event streaming primitive on the Developer Platform. You send events to a K2 stream, which stores them as an ordered log. Consumers can read them in a variety of ways, for example by splitting up reads across a set of consumers, or delivering all messages to all consumers. It's fully serverless, scales to vast quantities of data, and supports long-term retention, so even long periods of consumer downtime do Continue reading
Cloudflare OS gives everyone in your organization an agent workspace that knows how your company works and connects to its data and systems. Today, we're opening the waitlist for fully managed Cloudflare OS deployments.
If I asked you to prepare for an important customer meeting later today, what would you do? You might learn how your company typically runs customer meetings, review the account in your CRM, check recent support tickets and product usage, then turn it into a short presentation to review with the group. Now imagine doing that another 100 times this month.
Every team has work like this. With Cloudflare OS, you can ask your agent to handle the work for you, build a tool for your team, or move between the two as the work evolves.
Last month, we announced Cloudflare OS and shared the open source repository. Since then, thousands of organizations have started using it to work with company data, produce docs and slides, build tools for their teams, and automate work with agents.
With a few clicks in the Cloudflare dashboard, you’ll be able to launch your organization’s own agent workspace. Just tell us what custom domain you want to use, what Cloudflare Continue reading
Today, we’re introducing Workers KV Instant, a new mode for Workers KV that pushes your changes globally for instant availability without cold read penalties.
Workers KV has been one of our most popular services on the Developer Platform since launching during Birthday Week in 2018. It’s great for quickly accessing data like static assets and user configuration that is written occasionally but read frequently. We use it ourselves across many Cloudflare products.
We also have another key-value store, Quicksilver, which we’ve blogged about many times since introducing it in 2020. We designed Quicksilver for incredibly fast global replication and low-latency access, and nearly every request to Cloudflare looks up at least one key in Quicksilver. People have asked us for years, but we’ve never made Quicksilver available to our customers.
We’re changing that today with Workers KV Instant. KV Instant mode provides the same API as Workers KV, but powers it using Quicksilver. KV Instant offers 100 times faster p99 reads and immediate updates, with no need to wait for a TTL to expire. It’s not for every type of data, but, for infrequently updated application configuration data — the same thing we use Quicksilver for ourselves — KV Instant shines. Continue reading
During Birthday Week 2025, we announced the Cloudflare Data Platform, a suite of products that ingest, store, and query your analytical data. Today, we’re announcing that the platform is generally available, and we’re giving it a new name: Cloudflare Basin.
Basin is a serverless data analytics platform built on Apache Iceberg, the open standard for data lakes, and R2 Object Storage. The Basin family includes:
Basin brings an end-to-end analytics platform to the Developer Platform, enabling you to collect data from a variety of sources, such as apps, infrastructure, devices, and other Cloudflare services, then query it to answer analytical questions.
We set out to build a data platform last year when we saw two fundamental developments that changed how modern data applications were being built. First, Apache Iceberg Continue reading
The vJunos family - including vJunos-router, vJunos-switch, and vJunosEvolved are virtual QEMU images that run […]
The post Setting Up vJunos Images in GNS3 first appeared on Brezular's Blog.
At Tigera, we spend a lot of time thinking about agent security: identity, policy, runtime controls, and the record left behind after an agent acts.
Coding agents create an interesting problem because, in most organizations, they didn’t arrive through the front door.
Few companies ran a platform evaluation and rolled Claude Code out to 500 developers. Developers installed it themselves. By the time security and platform teams started asking how coding agents should be governed, they were already running on laptops with access to source code, credentials, SSH keys, kubeconfigs, internal services, and whatever else the developer could reach.
The long-term answer is increasingly clear I think: move coding agents into isolated environments you control.
Anthropic’s sandboxing work draws filesystem and network boundaries using OS primitives such as bubblewrap and seatbelt. Its reference devcontainer includes an egress firewall. Docker has introduced sandboxes for running coding agents, and Kubernetes-based approaches can add stronger workload isolation, network policy, and disposable development environments.
That direction makes sense.
Isolation governs what an agent can do. A gateway governs what it can send.
And unlike a complete move to remote development environments, the second boundary is something you can introduce today.
This week, Cloudflare's Impact programs will reach $100 million in donated services. It's a significant milestone, and one that we are proud of because it means that thousands of organizations, like journalism outlets, civil society, state and local governments, election management bodies, and public schools are being protected from cyberattacks.
But Cloudflare's Impact programs have never been about philanthropy. They are a fundamental part of our business and our mission, and they continue to help guide almost everything we do.
As we celebrate this milestone and our 16th Birthday Week, we wanted to revisit not only how we got here, but also how our Impact programs continue to grow and evolve to help those working for the public interest.
Cloudflare started as a free service. The original idea was to provide a basic version of our services to developers and small businesses for free, and then use the data about cyberattacks on their websites to build more sophisticated products that we could sell.
However, we quickly discovered that some of our free customers were not only doing essential work, like reporting on corruption in Africa or on the Russian invasion of Crimea, but also experiencing some of Continue reading
AI answer engines read a publisher’s page and hand the reader a summary, so the visit, and the revenue that would come with it, never happens. Most publishers will never sign a licensing deal with the companies that use their work in AI products, and no company can negotiate with millions of sites. The web needs a way to say “yes, if you pay.” Pay Per Use is one way to say it, and it's now in beta.
In July, we outlined our plan for Pay Per Use. Since then, we’ve been working with buyers and content owners to bring it to life. The gist: A buyer offers a price for a specific use of your content. You choose whether to accept. The buyer reports each use, and Cloudflare bills the buyer and pays you. Publishers track usage and earnings in the Cloudflare dashboard. Buyers report usage through a single API.
AI products fetch far more than they use. A search engine indexes pages it never shows. Charging for every crawl makes the buyer pay before it knows what it needs, and many buyers won't. Paying for use ties the price to Continue reading
Today, we’re making the Cloudflare Monetization Gateway available as part of a closed beta, and showcasing four customer use cases that are in production today. Since we announced the plan three months ago, we have been working closely with our customers to make the Gateway fast, flexible, and easy to use.
With just a few clicks, the Monetization Gateway allows domain owners to charge agents for access to their website, APIs, MCP tools, or datasets. Request access today in the Cloudflare Dashboard.
Today, most software businesses sell their products through subscriptions or prepaid credits. These business models require buyers to make a considerable upfront economic investment, so buyers limit themselves to a few subscriptions that fit into their budget. But this business model doesn’t align itself with how the predominant source of traffic on the Internet — agents — operates.
Agents seek outcomes, whether that’s sourced from a direct question or an implicit elicitation. To achieve an outcome, an agent may visit new sites, call MCP tools, or ingest data feeds. Businesses everywhere want to be in the critical path to help agents get better results. This helps them meet new users where they Continue reading
You just thought of your next great idea, and buying the right domain feels like the easiest way to make that first bit of progress. Naturally, you open a new tab in your browser, only to find yourself face-to-face with an experience that feels like a budget airline peppering you with add-ons at checkout: Want security? How about a website? Do you want email? You’re just a few minutes into building your next idea, and it doesn’t feel fun anymore.
Launched a decade ago, Cloudflare Registrar has always taken a simpler approach. Domains at cost, transparent pricing, and no unnecessary upsells. But simplicity shouldn’t begin at checkout. It should begin the moment you start looking for the right domain.
Today, we’re bringing that same simplicity to the entire experience of finding and buying a domain. Our new domain search shows every extension we support, responds as quickly as you type, and makes hundreds of possibilities easier to explore through sorting, filtering, and transparent pricing.
And you know what is particularly good at ignoring distractions and staying focused on the destination? An AI agent. We designed Cloudflare Registrar to work naturally with agents through the Registrar API, MCP Continue reading