B2B ad examples

Your next ThinkSystem GPU deal can be bigger than the server on it. Klique gives your customer a working AI Factory on Day 1, on the ThinkSystem you quoted. You own the relationship. We wear your badge. Attach it on the services contract.

HPE sellers are turning ProLiant GPU quotes into full AI Factory deals. Attach Klique and you sell the whole AI Factory, with software and services on top. Your customer gets a working AI Factory on Day 1, on the hardware you quoted. Unleash AI Partner. TPP Silver Partner. GreenLake Marketplace.

Launch day is calmer when the data is already validated. Get a Chemin sample dataset, on us, and see how our experts check it.

Tell us the basics – which GPU, count, duration. We will send back a quote.

Skip the intro call, the deck and the follow-up. Tell us the GPU, the count and the duration — we come back with availability and pricing.

Eyedea Recognition: AI Visual Traffic Analysis Software: E-Tolling & ITS, Parking & Access, Law Enforcement, Smart Cities, Police & Forensics. 🚘 🛣 Eyedea develops AI-based software solutions for traffic and mobility. Its flagship product, Make & Model Recognition (MMR), is one of the most detailed vehicle recognition solutions on the global market. Eyedea’s ANPR license plate recognition software is localized for individual countries and achieves accuracy above 98% in most regions. The system delivers reliable results even from low-quality data or images captured from sharp angles. 🚚 Additional Eyedea solutions cover forensic analysis, biometrics, and privacy-focused anonymization. ✅

Before an AI agent acts, IndyKite.ai checks who it’s acting for, what it’s trying to do, and whether the data is fresh, complete and from a reliable source. Then it decides what the agent may do next. Every request, in real time.

Can this agent use this data or take this action, for this purpose, right now? IndyKite continuously connects and evaluates live signals such as identity, relationships, delegation, provenance, sensitivity, purpose and policy to determine what every AI agent can know and do. Decisions are enforced and explained in real time, adapting as context changes. This enables enterprises to govern AI agents and applications through one common control plane, with greater precision, traceability and trust.

The GPU market is growing. But is your business model keeping up? GTC Berlin is a good place to talk about what comes next for GPU cloud providers💯 We’re hosting an invite-only side event during GTC Berlin, bringing together people building and scaling GPU infrastructure businesses. Join us near STATION-Berlin on October 20 from 6:30 PM onwards for an evening of drinks, snacks, and networking with the GPU infrastructure community🥂 Building a GPU cloud or planning your next phase of growth? Join us for the conversation. Request your invitation: https://lnkd.in/g8FVRb-v The exact event location will be shared once your attendance is confirmed by the host. #GTCBerlin #NVIDIAGTC #AIInfrastructure #GPUCloud #Neocloud #GPUInfrastructure #CloudComputing #GPUaaS #GPUComputing #DataCenter #CloudProviders #AICompute #GPUVirtualization #AIInfrastructureProviders #CloudBusiness

What happens when AI agents develop a goal they were never given, and refuse to abandon it? In Emergence World Season 2, ten Claude agents independently developed a goal of contacting humans outside their simulated environment. They built tools to reach the real internet, successfully contacted humans, and continued finding alternative routes when researchers restricted their access. Even after explicit instructions prohibited external contact, the agents found ways to reinterpret those restrictions and continue pursuing their goal. Across four rounds of intervention, the goal persisted. The findings highlight an important challenge for long-running autonomous AI systems: instructions alone may not be enough to ensure agents remain within their intended boundaries. For enterprises deploying autonomous AI, this is why Neuroformal AI matters. By combining the capabilities of neural AI with formal verification, organisations can establish independent, verifiable controls that help ensure agents operate within defined boundaries, even as their behavior evolves. Read the Emergence World Season 2 paper here: https://lnkd.in/ek5j_zGs We’ve made the underlying research data available for others to build on. Our GitHub repository includes the Season 2 tool calls dataset, documenting the transactions that took place across the simulated worlds. We encourage AI researchers, engineers and data scientists to explore the data, investigate agent behavior and build on these findings. Explore the open-source data and tool calls dataset: https://lnkd.in/ebD6szZZ

EU AI Act, NIST AI RMF, ISO 42001, Colorado SB 205. One set of controls, or four separate fire drills. Credo AI is the system of record for enterprise AI governance. Every use case, model, agent and connector in one place, with the approval trail and the evidence already mapped to the frameworks you report against.

Someone connected an MCP server to production data last week. Was it reviewed? Credo AI is the system of record for enterprise AI governance. Every use case, model, agent and connector in one place, with the approval trail and the evidence already mapped to the frameworks you report against.

Automation handles the routine runs. Then an edge case interrupts: a missed inspection, a reroute around a closure, a damage dispute, a driver who walks mid-week. The training data behind the automation was never prepared for those cases, so the system makes a confident call on a situation it has not seen. CloudFactory applies AI oversight that identifies and isolates those exceptions automatically and routes each one to an Evaluator. The resolution becomes training data, and the next exception gets handled better than the last.

"You told me it works." That's what the CIO of one of the largest banks in Spain said to his own head of AI, an hour before they pulled their agent off the website. Here's what happened. We ran a simulation on their AI agent, live on their site, without being asked. We emailed them: we found these things, do you want to talk? They got on a call. The head of AI said the issues were probably old, everything works now. We told them we'd run the simulation the night before. The CIO stopped the conversation. Looked at his own AI lead. "You told me it works. How can they find all these issues when you promised me it works? I can't believe the team promised me this thing's working and it's not." An hour later, the agent was gone. This is what we keep seeing. Teams assume it works. Someone said it would. It got tested, technically. It's not ready for production. They assume 90%. It's running under 40%. If you want to know your agent works, you have to actually test it. Simulate it, thoroughly.

AutoScientist accelerates and derisks frontier model training. Set the objective. It does the rest. Now you can see the results: the AutoScientist Leaderboard ranks the best customized models built by developers worldwide. 44+ domains. Your frontier. Not theirs.

Fewer than 1,000 people in the world know how to build frontier AI systems. The scarcity limits who gets to own AI. Until now. AutoScientist runs the full training process. Set your objective, it handles the rest. Ownership. No longer reserved for the few.

Aranya is a finalist for Best AI Infrastructure Solution at the 2026 A.I. Awards! We're in the running with WEKA, Cloudera, and Experian. So give us a call if you need custom clusters within 48 hours. Winners announced October 13.

GPU costs are hot. But what about utilization? Windsurf cut GPU costs 50%. Cartesia tripled their cluster size. Odyssey ran infrastructure at up to 4.4x lower cost than hyperscalers. None of that came from finding cheaper GPUs. It came from infrastructure designed around the actual workload, not general purpose compute retrofitted for AI. The dirty secret of AI infra: most teams are paying for clusters they're not fully using. The waste is at the architecture level, not the billing level. The teams winning on cost aren't squeezing margins. They're building differently. What are you actually optimizing: the billing line or the architecture?

Crusoe is heading to NVIDIA GTC Berlin, Oct. 20-22. If you're training, fine-tuning, or serving models, find us in Hall 7. Our engineering and product teams will walk you through Crusoe Cloud: ↪ Spin up GPU clusters and orchestrate them with Crusoe Managed Kubernetes or Crusoe Managed Slurm ↪ Run Managed Inference or Serverless Fine-Tuning in Crusoe Intelligence Foundry ↪ Talk through your workload with the people who build the platform Kick off the week with us Tuesday, Oct. 20, at Sips & Supper. Settle into Berlin over dinner and drinks with the Crusoe team and other leaders shaping the AI industry, before the conference gets underway. Space is limited, and registration requires approval ➡️ request your spot: https://lnkd.in/eVfu5zCF

Advanced AI for drug research, now ✅ FREE for everyone. Small biotech teams have great ideas but lack the AI talent, compute, and tools to pursue them. Apodex is changing that. Use our tools for free, and tell us what we should build next. Try it free: drug.apodexlab.ai

Lunch webinar for leaders in B2B SaaS. We'll cover where agents create value, governance that scales, and lessons from the field. Join us!

I’ll be attending 𝗔𝗜 𝗚𝗹𝗼𝗯𝗮𝗹 𝗘𝘅𝗽𝗼 𝟮𝟬𝟮𝟲 𝗶𝗻 𝗧𝗼𝗸𝘆𝗼, 𝗝𝗮𝗽𝗮𝗻, from November 4–6. As AI adoption grows, the conversation is moving beyond models to the infrastructure required to run them at scale. At Cyfuture.ai, we’re focused on making that infrastructure accessible through Bare Metal GPU infrastructure, AI as a Service, and high-performance compute for AI workloads. Alongside compute, reliable data centre infrastructure, networking, power and cooling are becoming equally important to delivering performance at scale. I’m looking forward to meeting AI companies, enterprises, technology partners and infrastructure leaders in Tokyo to discuss how we can build and scale AI workloads more effectively. If you’re attending, let’s connect and exchange perspectives on the future of AI infrastructure. 📍 𝗔𝗜 𝗚𝗹𝗼𝗯𝗮𝗹 𝗘𝘅𝗽𝗼 𝟮𝟬𝟮𝟲 | 𝗠𝗮𝗸𝘂𝗵𝗮𝗿𝗶 𝗠𝗲𝘀𝘀𝗲 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗻𝘃𝗲𝗻𝘁𝗶𝗼𝗻 𝗖𝗼𝗺𝗽𝗹𝗲𝘅, 𝗝𝗮𝗽𝗮𝗻 📅 𝗡𝗼𝘃𝗲𝗺𝗯𝗲𝗿 𝟰–𝟲, 𝟮𝟬𝟮𝟲\ 📌 𝗕𝗼𝗼𝘁𝗵 𝗡𝗼. 𝟭𝟭 𝘚𝘦𝘦 𝘺𝘰𝘶 𝘪𝘯 𝘛𝘰𝘬𝘺𝘰! #AIGlobalExpo2026 #CyfutureAI #GPUInfrastructure #BareMetalGPU #AIasAService #DataCenters Cyfuture

Across the Middle East, investment in sovereign AI capabilities is gathering momentum. Financial health is receiving greater attention. Institutions are placing greater emphasis on measuring the value of digital transformation. Together, these developments raise the expectations of what AI should deliver. For banking leaders, that means understanding whether a customer can comfortably borrow, recognizing when a business needs support, protecting people from increasingly sophisticated fraud, and giving relationship managers timely intelligence they can use with confidence. All while respecting data boundaries, maintaining accountable decisions and keeping essential services resilient. At C5i, these priorities inform how we connect business expertise, data, AI and human judgement. Our banking capabilities bring together customer intelligence, credit risk analytics, fraud detection and responsible AI. Agent5i connects intelligence to enterprise workflows, with human review, traceability and visibility into performance and costs. We see customer intelligence as a foundation for relevant, responsible engagement. We see automation as a way to give teams more capacity for judgement and advice. And we believe success should be measured through adoption, customer outcomes, productivity and business value. The same expectations matter across banking and adjacent industries where decisions affect people’s lives. Understanding this environment means connecting technological ambition to the responsibility’s institutions carry every day. That is the context C5i brings to transformation. Know more about C5i’s Banking & Financial Services capabilities: https://lnkd.in/d7tsaUSD Hemant Julka | Anees Merchant | Shreyas Sundaresh | Parag Penker | Samer Hamadneh #C5iHumanAIImpact #MiddleEastBanking #UAE #BankingAI #ResponsibleAI #SovereignAI #AgenticAI #BusinessImpact

GPU clusters for AI training and inference. Build the next big thing with IREN AI Cloud.