LinkedIn image ad examples

Not a rented GPU. A shared B200 cluster, billed by the job.

Billed only while your job is running. Not before. Not after.

We groeien. Drie mensen kunnen meebouwen aan wat GLBNXT de komende jaren wordt. GLBNXT maakt sovereign AI mogelijk voor gereguleerde organisaties in Europa. Geen Amerikaanse cloudprovider. Geen data buiten eigen controle. Alles op EU-compute, ISO 27001:2022, gebouwd voor de AVG, NIS2 en de EU AI Act. We zijn op zoek naar: SENIOR AI/DEVOPS ENGINEER Kubernetes, LLM inference, CI/CD regie. Jij neemt de productie-infrastructuur voor je rekening naast onze lead developer. Breda, hybride. FOUNDING COMMERCIAL LEAD Eerste commerciële aanstelling. Salesfunctie van nul opbouwen. Enterprise-deals in de Benelux, werken vanuit een product dat voor zichzelf spreekt. FORWARD DEPLOYED ENGINEER Van kickoff tot productie naast de klant. Technisch genoeg om te coderen, klantgericht genoeg om een directeur bij te praten. Dit zijn geen standaard vacatures. Meer weten of iemand kennen die hier iets mee kan? Solliciteer via glbnxt.com/jobs of stuur mij een DM. #SovereignAI #AIInfrastructuur #Hiring #GLBNXT #EuropeanAI

AI sovereignty should strengthen control without limiting ambition. Core42 brings compute, technical policy and jurisdiction together in one accountable stack—helping regulated organisations advance AI with confidence.

Regulated industries can't trade compliance for compute. Core42 builds AI infrastructure with data residency and jurisdictional control designed in.

800+ engineers and AI leaders gathering in London this November. Are you coming? 📅 November 4 – 5 📍 Convene Sancroft, St. Paul's, London, UK

Fully Connected London- November 4 – 5. Hands-on labs, live demos, real keynotes, the kind of sessions you actually use when you're back at your desk.

See how MY Convenience built a scalable, data-driven learning culture across 100 shops and 1,000+ employees, turning training into a lasting company asset supported by clear engagement data.

Identify the right questions to ask before adopting AI. Understand what impact AI can truly have on your retail operations, from onboarding to in-store support and how to measure its real value.

Exciting news! We’re proud to be a sponsor at #HLTHUSA, one of the biggest events shaping the future of healthcare innovation. Our team can’t wait to connect with industry leaders, share insights, and explore new ways technology is transforming health and wellness. Join us at www.hlth.com/events/usa and be part of the conversation that’s redefining healthcare! Let’s make an impact together — see you at #HLTHUSA! HLTH Inc. #HLTHUSA #HealthTech #Innovation #DigitalHealth

We just raised $5 million in Series A funding!! GFT Ventures, BankTech Ventures, and LAUNCH are backing us because we're solving a big problem - how regulated industries actually implement AI infrastructure without cutting corners on compliance, control, or auditability. Here's what we've built: AbacusOS: Our audited AI operating system that runs entirely on-prem or in your private cloud. You keep control and get full auditability. Plus, your data never leaves your environment. Enterprise Indexer: Connects to core systems and makes institutional knowledge actually usable at scale while maintaining compliance standards. Abacus Assistant: Delivers instant answers backed by citations and traceable sources. Every response shows its work. Demand for our products has been huge. As Jay Eum from GTF Ventures put it: "Abacus sets a new standard for trust and transparency in AI." We're using this funding to expand our engineering and customer success teams, enhancing AbacusOS, and rolling out new automation features (think: AI-driven workflows, decision support, and content generation). Thanks to the entire Abacus team for making this happen. And watch this page for product releases, team news, and jobs!

Wondering what the Great Wave AI Platform actually does? Here are the answers: 1. De-risks and accelerates GenAI product delivery 2. Provides a single pane of glass through which to observe and manage agents 3. Delivers governance, risk management and assurance out of the box Don’t believe me …? Check out what Phill Magill Chief Engineer at PXC - the UK’s fastest growing independent wholesale telecoms platform - says about how our platform has turbo-charged their GenAI journey. Link to write-up and full video in comments 👇

Why we built the Great Wave AI platform We didn’t set out to “revolutionise AI,” “disrupt industries,” or any of the other phrases that usually come with too many pitch decks and not enough sleep. We built Great Wave AI for a much simpler reason: because trying to make AI actually useful inside real organisations kept turning into a farce. Everywhere we looked, teams were stitching together half a dozen tools and whatever the hyperscalers had announced that week. Developers were drowning in frameworks. Non-developers were told to “just use no-code” (which usually meant “good luck”). And the moment anyone said “regulated environment,” half the available tooling quietly left the room. So we took the scenic route and built the thing we wished already existed: a platform where you can break work into sensible, specialised agents, give them access to the APIs and information they need, and have them reliably put everything back together again with human feedback and auditability built in. No drama. No rituals. No hype. And, next year even the option to run the whole thing on the edge, should you need to deploy an agentic system somewhere where god forbid, there is sometimes a poor internet connection (PIC), like a police car, because the PIC crew shouldn't miss out because of mother nature. Not reinventing AI. Just making it behave, so that it can actually make the transformational challenges promised. That is what its all about right ?

Building AI agents? You don’t need to hire a full internal AI org to do it! Join our live webinar to learn how Fusemachines’ Elastic Squads are helping companies go from idea to production, without a huge team. We’ll show you how to: • Deploy AI engineers & PhDs on demand • Accelerate AI agent development • Launch faster, without hiring delays • Scale without long-term overhead This session walks through the exact framework Fusemachines uses to take AI products from idea to production. If you’re serious about operationalizing AI in 2026, don’t miss this! Register here!

Frost & Sullivan has selected Fusemachines as its strategic Agentic AI Partner. Read the full press release: https://bit.ly/3TlHF52 With 45 offices globally and more than 60 years of experience, Frost & Sullivan has worked with investors, corporate leaders, and governments to identify, prioritize, and execute transformational growth strategies. By combining Fusemachines’ advanced AI and Agentic AI platforms with Frost and Sullivan’s proven growth strategy frameworks, the collaboration aims to bring scalable transformation capabilities to thousands of Frost and Sullivan’s enterprise customers globally. To explore Agentic AI for enterprise transformation or growth, contact Fusemachines or Frost & Sullivan through their websites. #AgenticAI #EnterpriseAI #AITransformation #DemocratizeAI

Our Founding Advisor Gael Varoquaux has spent decades helping shape modern data science as cofounder of scikit-learn and a leading researcher in machine learning. In this conversation with Fundamental Head of Applied AI Alexandre Gerbeaux, Gaël shares his perspective on some of the most important questions facing the field today: • Why LTMs represent a major opportunity for researchers and builders • Why problem framing matters more than model optimization • The overlooked importance of tabular data in enterprise AI • Why different AI systems will continue to have different strengths • How data science can create meaningful impact in business and society Watch the full interview and explore the ideas shaping the next generation of AI. https://lnkd.in/dBQk7-WU

Japan's largest bank is betting on Fundamental. Today, MUFG, one of the world's largest financial institutions, announced a strategic partnership with Fundamental 🤝 Full blog in the comments

Building AI for the long term takes more than technology. It takes trusted infrastructure, responsible innovation and the capability to scale. These are the foundations of our long-term partnership with Microsoft. Together, we are working across cloud, compute, governance and real-world deployment to build capabilities that serve governments, industries and communities. Progress continues. #G42 #Exponentialai #AI #Microsoft #Technology #InnovationHub

The partnerships that matter are built to last. With Microsoft, we have built a long-term partnership grounded in a shared belief: the future of AI depends on trusted infrastructure, responsible innovation and the capability to scale. From cloud and compute to governance and real-world deployment, we are building foundations designed to serve governments, industries and communities for years to come. #G42 #Exponentialai #AI #Microsoft #Technology #InnovationHub

Bare metal. Real infrastructure. Actual impact. Join one of the fastest growing AI Infra teams today.

Turn bare metal into gold with Fluidstack.

What's so special about 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸 𝗩𝟰 by DeepSeek AI? In the few weeks since launch, 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗣𝗿𝗼 and 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗙𝗹𝗮𝘀𝗵 have surged to the top of the most-used open-weight models on OpenRouter. Both are now live on 𝗙𝗿𝗶𝗲𝗻𝗱𝗹𝗶 𝗗𝗲𝗱𝗶𝗰𝗮𝘁𝗲𝗱 𝗘𝗻𝗱𝗽𝗼𝗶𝗻𝘁𝘀 with a 1M-token context window by default. 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗙𝗹𝗮𝘀𝗵 is the one redrawing the performance-efficiency frontier: 🧬 284B total parameters and 13B active parameters per token 📈 91.6 LiveCodeBench, 88.1 GPQA Diamond, 86.2 MMLU-Pro — within two points of 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗣𝗿𝗼 on most reasoning evals 🧠 At launch, on par with Claude Sonnet 4.6 (max reasoning) on the Artificial Analysis Intelligence Index 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗣𝗿𝗼 is the ceiling above it: 📚 At launch, the highest open-weight world-knowledge score on record — 57.9 on SimpleQA-Verified 🤖 Frontier-grade agentic coding: 90.2 Apex Shortlist, 89.8 IMOAnswerBench, 80.6 SWE Verified 📝 Long-context evals at full reach: 83.5 MRCR 1M, 62.0 CorpusQA 1M Pick 𝗙𝗹𝗮𝘀𝗵 for high-throughput agents or 𝗣𝗿𝗼 when the workload deserves a higher ceiling. 𝗗𝗲𝗽𝗹𝗼𝘆 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗙𝗹𝗮𝘀𝗵 👉 https://lnkd.in/gnjKKFG2 𝗗𝗲𝗽𝗹𝗼𝘆 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗣𝗿𝗼 👉 https://lnkd.in/gtj3DuHK 𝗥𝗲𝗮𝗱 𝗼𝘂𝗿 𝗯𝗹𝗼𝗴 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 👉 https://lnkd.in/gAjyZGFd

🪄 The trick to faster LLM inference? Predict multiple tokens ahead — then verify them in parallel. FriendliAI Dedicated Endpoints support draft-model speculative decoding, with draft models trained and automatically paired by FriendliAI. Single toggle at endpoint creation. No application code modifications. Why it matters: ⚡ 𝗙𝗮𝘀𝘁𝗲𝗿 𝗼𝘂𝘁𝗽𝘂𝘁. The target-model verifies multiple proposed tokens in a single parallel forward pass — at roughly the cost of a standard single-token decoding step — letting the same memory traffic produce multiple accepted tokens. 🎯 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗽𝗿𝗲𝘀𝗲𝗿𝘃𝗲𝗱. Verification follows the target model’s own next-token distribution. 🔧 𝗭𝗲𝗿𝗼 𝗼𝘃𝗲𝗿𝗵𝗲𝗮𝗱. No additional training, no extra models to manage, no code changes. This breaks the autoregressive bottleneck: one token, one forward pass, repeat — where sequential decoding iterations increasingly dominate inference latency as generations get longer, and each pass spends most of its time loading weights from GPU memory. Unlike N-gram speculative decoding, which only fires on literal token repetition, the draft-model generalizes beyond literal repetition — proposing accurate candidates even when the exact sequence hasn’t appeared before. Best suited for agentic pipelines, long-form generation, and code completion. Supported target models: Gemma-4-31b-it, Kimi-K2.6, Qwen3.6-27B, GLM-5.1, GLM-5, DeepSeek-V3.2, MiniMax-M2.5. Link to blog post in first comment 👇

The gap between an AI Agent’s failure ("what") and the root cause ("why") is where engineering hours disappear. Fiddler closes that gap. Find the root cause instantly, all in one platform. Book a demo to see how healthcare teams accelerate safe AI deployment.