Björn H. Klinzing’s Post

No cloud lock-in, no surprise bills, no compromises on where your data lives. That's the foundation we're building at MDCS.AI together with our partner Automation NV. https://lnkd.in/eekCi5jE

Qumulo gives you the power to make your data accessible anywhere without creating redundant copies. Now, you can also run anywhere GPU capacity exists. AI efficiency at its finest. #qumulo #ai

Everyone’s chasing GPUs. The real bottleneck is still data gravity. That’s why today’s announcement matters. With Qumulo Cloud AI Accelerator, we’re making enterprise data available to AI infrastructure wherever GPU capacity exists across clouds, regions, and hybrid environments, without the replication, staging delays, or operational overhead enterprises have accepted as “normal.” The industry keeps talking about GPU scarcity. But idle GPUs caused by slow data movement may be the more expensive problem. AI infrastructure shouldn’t depend on where data is trapped. It should adapt in minutes to where compute becomes available. That’s the idea behind GPU liquidity. https://lnkd.in/dqb3qZSe

AI factories require validating the entire infrastructure stack before deployment. NVIDIA DSX Air enables teams to design and simulate AI infrastructure in the cloud across compute, networking, storage, and security before a single rack is installed. By modeling configurations, automation workflows, and system integrations in advance, organizations can reduce integration risk and bring AI infrastructure online faster. Learn how it works ➡️ https://bit.ly/4dsntoi

The next wave of networking is simple in principle and exacting in practice: fiber first, latency low, bandwidth extreme, software in control. GPUs are only as efficient as the links that feed them, so core speeds must leap from 10G to 100G and on to 400G and beyond. Programmable, API-driven fabrics turn capacity into agility, moving from static provisioning to on-demand flows that match the tempo of AI training, retraining, and inference. When you raise throughput, you reduce cost and accelerate outcomes. When you lower latency, you unlock new patterns and products. When you make it programmable, you scale with precision. This is how Cloud 2.0 performs at peak.

Digital Realty has partnered with Lenovo and ePlus inc. to deliver Private AI Infrastructure-as-a-Service. A production-ready foundation that takes enterprises from #AI assessment to global-scale deployment. This integrated solution combines: ✅ Lenovo AI-optimized systems powered by NVIDIA GPUs ✅ ePlus design, deployment, and lifecycle expertise ✅ Digital Realty's global High-Density Colocation and interconnection platform Move beyond experimentation. Deploy AI infrastructure built for enterprise production at scale. Discover how Private AI IaaS accelerates your time-to-token. https://okt.to/yvm19C #TheDataMeetingPlace #WhereTomorrowComesTogether #PlatformDIGITAL

The New AI Stack now includes the Fiber Interconnect Fabric. AI is no longer just about GPUs, models, and inference—the network has become a core part of the stack. Without high-performance AI cloud/factory interconnect, even the most powerful GPU clusters remain underutilized and fragmented. A programmable, sliceable fiber fabric—with QoS, SRv6, and Fabric-to-Fabric interconnect over F5G-A—enables deterministic, scalable AI connectivity. This shifts the paradigm: compute, storage, and network must be co-scheduled as one system. The outcome is a virtual, distributed AI factory, where capacity is pooled globally and optimized across latency, cost, and location. #AIInfrastructure #FiberNetworks #NaaS #SRv6 #EdgeAI #VirtualAIFactory

Scale NVIDIA B300 Al clusters with 1.6T InfiniBand optical interconnects FS introduces a 1.6T optical interconnect solution tailored for NVIDIA #B300 and #QuantumX800 InfiniBand platforms, built to enhance AI cluster efficiency while reducing total cost of ownership (TCO). 🔗 Learn more: https://lnkd.in/gCHRnxRi #InfiniBand #DataCenter #FSSolution

Scale NVIDIA B300 Al clusters with 1.6T InfiniBand optical interconnects FS introduces a 1.6T optical interconnect solution tailored for NVIDIA #B300 and #QuantumX800 InfiniBand platforms, built to enhance AI cluster efficiency while reducing total cost of ownership (TCO). 🔗 Learn more: https://lnkd.in/gCHRnxRi #InfiniBand #DataCenter #FSSolution

Everyone wants to talk about AI. Very few want to talk about the panic happening behind the scenes to secure GPUs. Right now, boardrooms are approving AI strategies faster than infrastructure teams can source compute. That’s the market. A year ago, GPUs were considered “high-performance hardware.” Today? They’re leverage. The companies locking in B200s, B100s, H100s, H200s environments today aren’t spending money. They’re buying time. And in this market, time is the most expensive currency in tech. Because while one company is still debating budgets and cloud costs… another company already deployed the model, trained the data, and captured the customer. We’ve officially entered the era where compute capacity impacts revenue velocity. The AI gold rush isn’t about who has the best ideas anymore. It’s about who has the infrastructure to execute before everyone else does. #AI #AIsales #GPUs #NVIDIA #AMD #BusinessDevelopement #BusinessStrategy #Budgets #TechStack #Infrastructure #Compute #Cloud #Data #Training #Inference #Models #FutureofAI