B2B ad examples

▶▶ AI voice agents that autonomously handle adverse carrier discovery.◀ ◀ Provide a license plate or driver name ⬇ AI voice agents place outbound calls to retrieve the information you need. ✅

💡 A new AI tool, Donna, for immigration professionals is taking aim at one of immigration law's biggest time drains: the inbox. Donna drafts client replies using your case files, documents, and prior communication, so lawyers can spend less time buried in email threads and more time getting their clients across the finish line. https://lnkd.in/eHbVnMRY

Thousands of B200 and B300 GPUs coming online in 2–3 months. Your roadmap can't wait 8.

B200s and B300s are backordered everywhere. Most providers: 6–8 months out. We're not.

Scaling a physical vehicle test fleet is an incredibly capital-intensive way to train autonomous driving systems. AI-generated synthetic data is the only mathematically viable way to generate the volume of training data required for safety validation—but legacy sub-HD synthetic data degrades real-world performance. We have built a generative simulation platform that delivers native Full HD (2MP) resolution per camera across a synchronized 6-camera surround view, setting a new industry benchmark for synthetic data fidelity. By delivering five times the pixel density of current standards, we achieve true hardware parity. Autonomous driving systems can finally be trained in simulation on the exact pixel density their physical camera suites utilize on the road, eliminating the traditional "sim-to-real" domain gap. The platform provides two core data generation pipelines: 🔵 VidGen-3: Creates entirely synthetic surround-view sequences from scratch to bridge critical data gaps. 🔵 GenSim-3: Performs high-fidelity scene transfer, allowing developers to re-stylize real-world footage to alter weather, lighting, and textures on the fly. We achieved this resolution milestone using an optimized cluster of only hundreds of GPUs rather than thousands. This massive compute efficiency removes the cost-prohibitive infrastructure barriers, making high-fidelity synthetic data commercially viable for global automakers today.

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

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

AI spend is growing. But more spend doesn’t always mean more value. AI Spend Explorer shows where your budget goes across providers, teams, users, and models so you can find waste and cut AI spend by 30–50% without sacrificing quality. Connect your keys. Get a live dashboard in under 2 minutes. Free. Read-only. No card required.

🚜 Farming robots, healthcare heroes, and top-secret tech...oh my! Catch Baby Tom & Lenny the Yeti as they turn AI into the Avengers of technology. Tune in for laughs, learnings, and maybe a snow cone. #DenvrAI #AIServices #AIAscend

🏔️ No mountain climbing required! Just tune in to hear how you can get $1,000 in AI startup credits (and maybe a Yeti joke or two). Baby Tom & Lenny's new episode is live! #DenvrAI #AIServices #AIAscend

It's #HedraHalloween. 🎃 Create scary good content, faster than ever. This month is all about celebrating the spooky, supernatural, and strange content you can create with Hedra. We'll be featuring the most impressive community creations. Share your work with #HedraHalloween. Let's see what you can do.

For decades, turning a creative concept into a high-quality video required complex software, long render times, and specialized teams. AI video generation is changing that. It's collapsing the workflow from days to minutes, shifting the focus from technical execution back to the creative idea itself. We've been demonstrating this with our Hedra Halloween campaign—showing how intricate, spooky scenes can be generated from a single prompt. The most common question we've received isn't about the tech, but: "How do I start?" This video shows a glimpse of the process. It's straightforward by design. To help you get hands-on, I'm sharing our "Get Started with Hedra" guide. It's a straightforward walkthrough of what Hedra offers, along with some tips and tricks for creating high-quality content. You can find the direct link to the guide in the first comment below. We're excited to see what people create when the barrier to entry isn't the tool, but only the imagination.

McKinsey, Deloitte, and BCG are spending billions on proprietary AI. Without the right tools, mid-size firms risk losing clients - not on quality, but on speed. GLBNXT Workspace levels the playing field. AI Agents that accelerate research, generate deliverables, and search your knowledge base - so every consultant performs like your best consultant. And unlike Big 4 tools built on US cloud? GLBNXT is 100% EU-hosted. Client confidentiality guaranteed. No CLOUD Act. No compromise. Start your free trial today.

Your dev team wants to build with AI. But first: set up infra, handle security, figure out GDPR, avoid vendor lock-in… GLBNXT delivers n8n, Postgres, Ollama and more as a fully managed platform. EU-hosted, ISO 27001 certified. You build, we handle the rest. → Schedule a demo

Sovereign infrastructure doesn't have to be more expensive. Calculate the cost of keeping your patient data in-country.

Are you over-provisioning for inference? Model your actual workload - GPU type, cluster size, and hours, to find your hidden savings.

🤔 Your competitive secrets > Your IP > Your data ... are all liabilities on the public cloud. Global AI is not a cloud. We are the world's first hyperscaler built for sovereign AI. Dedicated, air-gapped, single-tenant infrastructure that gives enterprises and nations on-premises control without the on-premises burden. We're sovereign by design.

AI models are now running attacks on their own. Finding zero days... Escaping. It's only a matter of time before... ... the public cloud becomes the exposure. Enterprises and nations have their competitive secrets and their IP sitting on hardware they share with strangers. It's a discussion in every boardroom from Wall Street to Silicon Valley. So what can you do? Global AI is not a cloud. Fully dedicated, sovereign, single-tenant architecture. Never shared. And the good news? It's air-gapped. Nothing gets in > nothing gets out. Take control.

The 2026 Long Horizon lineup is confirmed. The summit will feature the leading names in Physical AI, including: • Sebastian Thrun, Founder, Google X • Deepak Pathak, CEO, Skild AI • Alex Kendall, Co-founder and CEO, Wayve • Carolina Parada, VP and Head of Robotics, Google DeepMind • Vincent Vanhoucke, Distinguished Engineer, Waymo • Ken Goldberg, Co-founder, Ambi Robotics • Alberto Rodriguez, Director of Robot Behavior (Atlas), Boston Dynamics • Pim de Witte, CEO, General Intuition Two days at Fort Mason. October 20–21. Apply for entry today. Join the waitlist: https://lnkd.in/eShztTgz

The first release of Early Bird tickets sold out in 48 hours. Release two of the Early Bird is now live! Two days at Fort Mason, San Francisco, October 20-21, with the biggest names in Physical AI. Day 1 covers robotics and embodied AI; Day 2 covers autonomy across AV, ADAS, drones, and defense. Confirmed speakers already include: • Sebastian Thrun, Founder of Google X and Waymo • Deepak Pathak, CEO of Skild AI • Carolina Parada, VP and Head of Robotics at Google DeepMind • Alex Kendall, CEO of Wayve • Rodney Brooks, CTO of Robust.AI • Vincent Vanhoucke, Distinguished Engineer at Waymo • Quan Vuong, Co-founder of Physical Intelligence • Nathan Michael, CTO of Shield AI With many more to be announced. Get yours as soon as you can: https://lnkd.in/eShztTgz

Sovereign AI doesn't mean building your own foundation model. It means not being held hostage by your vendors. The term gets thrown around a lot, but for most organizations, it's really about maintaining control over the parts that matter. Where does your data live? Can you choose which model to use, or switch providers without rebuilding everything? Can your systems continue operating if one vendor changes pricing, access, or strategy? Those questions have much more impact on long-term resilience than whether you're using the latest benchmark leader. The conversation shouldn't start with "Which model should we use?" It should start with "Which parts of our AI stack do we actually control?" That's what sovereignty looks like in practice. What's the hardest part of your AI stack to keep control over right now?

Europe doesn't have an AI talent problem. It has a deployment problem. I'm actually optimistic about companies like Mistral. European AI models, sovereign infrastructure and on-device AI all matter. Especially in healthcare. But we shouldn't confuse good models with production-ready healthcare systems. The difficult part isn't training another model. It's integrating that model into hospitals, clinical workflows and existing infrastructure. Healthcare AI won't be won by whoever has the biggest model. It will be won by whoever earns the most trust.

Race cars, robots, and industrial systems each have their own physics. See how CoreWeave's domain expertise helped JOTA learn faster from its own rig data.

Test budgets are finite. The number of possible setups isn't. See how CoreWeave helped JOTA find stronger setups after a single pass.