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Test AI in production without buying hardware, with no commitment, and no unpleasant surprises on your bill. Get 10 free requests per day to get started, then pay only for what you use. ✅ Best open-weight models ✅ Free playground ✅ Deployment in under 3 minutes ▶ Sign up and try our console for free.

Test AI in production without buying hardware, with no commitment, and no unpleasant surprises on your bill. Get 10 free requests per day to get started, then pay only for what you use. ✅ Best open-weight models ✅ Free playground ✅ Deployment in under 3 minutes ▶ Sign up and try our console for free.

Built for the people who own the call: sensor makers, integrators, and the operators making decisions when the cost of being late is measured in lives and mission outcomes. Axonis brings the opportunity of AI to sensor networks with the discipline a safety-critical system demands. Read the playbook the FierceSensors Texas flooding solution was built on.

Generate intelligence across classified and coalition environments without moving, copying, or exposing it. Classification controls hold. Sovereignty holds. The model travels to the data; the data stays where it lives. This is the architecture that ran in DoD and intelligence programs before the enterprise market knew to ask for it.

Scaling AI should not cost you model choice or budget control. Join Anaconda Scale 2026 and see how teams get to production.

Your agent works in the demo. Production is where the harder questions show up. Where does it run? What can it access? How do you control model choice and cost? At Anaconda Scale 2026, customers and Anaconda leaders will share the patterns they use to move AI workflows into production. Join us live on October 15 or register to receive the recording.

On 15 October, Amazon Development Center Poland hosts Innovation Jam in Gdańsk: a tech session with the people who build devices used in millions of homes. What's on: → A deep-dive tech talk from an Amazon senior engineer → Live Q&A with the team behind the project → How AI is changing firmware engineering in practice → Networking, food and drinks 📍 Olivia Business Centre, Gdańsk | 🕕 18:00 | Free to attend Seats are limited. Sign up using the form below!

On 15 October, Amazon Development Center Poland hosts Innovation Jam in Gdańsk: a tech session with the people who build devices used in millions of homes. What's on: → A deep-dive tech talk from an Amazon senior engineer → Live Q&A with the team behind the project → How AI is changing firmware engineering in practice → Networking, food and drinks 📍 Olivia Business Centre, Gdańsk | 🕕 18:00 | Free to attend Seats are limited. Sign up using the form below!

Can't wait to be in SF with Pierre-Louis next week for OpenAI DevDay! We're putting together a pre-event party with our dear friends at Hexa for builders to meet each other before this awesome day. Beer, pizzas, good conversation and ski goggles, as always! Link in first comment 👇

GEO won't make you discoverable in ChatGPT. Plugins will. OpenAI juste announced the dynamic discovery of Plugins in ChatGPT 👀

"Securing GPUs and making them usable for AI services are two completely different engineering challenges." Following Kitae Yoo’s presentation at KCD x Ceph x OpenInfra Day Korea 2026, the AIEEV Dev Team has published a new technical deep dive exploring why owned GPU/NPU hardware often sits idle—and how to turn scattered compute into production-ready inference capacity. In the field, developers often find GPUs in workstations, lab servers, or edge boxes. However, driver mismatches, missing SDKs, and network restrictions often prevent them from loading models when needed. Here is how AIEEV transforms fragmented compute resources into a unified execution pool for real world AI inference: 1️⃣ Verification Before Registration: Rather than adding devices immediately upon discovery, AIEEV's proprietary agent inspects the runtime environment and validates it against actual workloads. Only verified machines join the active serving pool. 2️⃣ Strategic Role Division (Kubernetes + Ray): We leverage Kubernetes for central control plane stability while orchestrating dynamic AI workload scaling across heterogeneous nodes using Ray Serve. 3️⃣ Solving Real World Production Bottlenecks: Operating across distributed, non-datacenter environments introduces challenges from power/cooling constraints to node-level fault tolerance. The post details how we overcome these operational bottlenecks in live production. How is your team handling GPU utilization and cold starts in distributed environments? We’d love to hear your thoughts and operational experiences. Read the full technical blog post — link in the comments below! 👇 #AIEEV #AIInfrastructure #GPU

📚 Do you want to transform your valuable content into personalized learnings? Connect your existing content to AI-powered learning experiences—without replacing the content, systems or publishing model you've already built. See how learningOS works. 👉 Book a discovery call today!

Lär dig bygga AI-agenter. Under vår 2-dagarskurs lär du dig designa, bygga och kvalitetssäkra AI-agenter för dina och organisationen arbetsflöden. Du identifierar processer med högst potential och bygger fungerande agenter redan under kursen. Du lämnar kursen med praktisk erfarenhet, ett strukturerat arbetssätt och ett eget projekt att fortsätta utveckla. Plattformsoberoende kunskap som funkar oavsett vilka verktyg ni väljer. Team från ledande organisationer har redan gått kursen.

Our course "Designing AI Agents" is hands-on from the first hour. You identify your most important use cases, build agents for your own workflows and go home with agents that create real value. Some of Sweden's most forward-leaning organizations have already taken the course. Now we're running it again. 📅 Stockholm and online, in Swedish and English

스타벅스 커피 쿠폰 30명 추첨 증정 (30초 이내) NVIDIA RTX PRO™ 6000 Blackwell Workstation Edition에 관심을 가져주신 여러분의 소중한 의견을 듣고자 고객 설문 시간을 마련했습니다. 설문에 응답해 주신 분들 중 추첨을 통해 스타벅스 아메리카노(T) 기프티콘을 드립니다. :) 많은 참여 부탁드립니다. * 정확한 응답을 하신 고객분들께 증정되는 기프티콘입니다. :) * 마케팅 수신 동의가 되어야 기프티콘 증정이 가능합니다. (미동의 시 연락 불가) * 해당 설문조사 이벤트는 사전 고지 없이 종료될 수 있습니다.

스타벅스 커피 쿠폰 30명 추첨 증정 (30초 이내) NVIDIA DGX™ B300에 관심을 가져주신 여러분의 소중한 의견을 듣고자 고객 설문 시간을 마련했습니다. 설문에 응답해 주신 분들 중 추첨을 통해 스타벅스 아메리카노(T) 기프티콘을 드립니다. :) 많은 참여 부탁드립니다. * 정확한 응답을 하신 고객분들께 증정되는 기프티콘입니다. :) * 마케팅 수신 동의가 되어야 기프티콘 증정이 가능합니다. (미동의 시 연락 불가) * 해당 설문조사 이벤트는 사전 고지 없이 종료될 수 있습니다.

Next week at RAISE Summit, our CCO Kent Draper joins Dion Harris from NVIDIA and Alex Freedland from Mirantis for a session on the state of AI infrastructure. The keynote conversation will cover the three critical layers of the AI infrastructure stack — data centers, compute, and software — and how they work together to bring scalable AI capacity to market. What's Powering AI Today? — 8 July, 9am, Carrousel du Louvre.

Stop overpaying for AWS/Azure. Deploy NVIDIA B200/H200/RTX 6000 nodes today at ~30% lower cost. No long-term contracts. No waitlists. Get wholesale GPU compute now.

Build, Train, Deploy AI. Pay for results, not usage: Up to 80% cheaper and 2x faster than hyperscalers*

Build, Train, Deploy AI. Pay for results, not usage: Up to 80% cheaper and 2x faster than hyperscalers

An internal AI team costs $500K-$1M+ per year and still takes 12-18 months to ship one use case. Invisible deploys production-grade AI in weeks, with enterprise security, governance, and a model-agnostic backend that automatically upgrades.

Invisible built Nasdaq a purpose-built AI solution for data integration and customer onboarding. 63% faster. 10K+ hours returned to the team. And the system keeps improving as new models and architectures emerge.

A practical MLOps session on automation, abstraction, and business visibility for AI systems.

Learn how AI teams move beyond models to deliver production systems with real, measurable business value.