🚀 MCP Servers: The Connector Layer We Need, But Not Yet Enterprise Ready! Just wrapped up an amazing experience at apidays London 2025, “No AI without APIs”. Some standout sessions I attended: - “Agentic AI: From Roadmap to ROI” by Nigel Walters (Google Cloud) - “From APIs to AI: Leveraging Integration Assets for MCP Enablement” by Kalpshekhar Gupta (IBM) 💡 My take: MCP servers are here to stay. They act as a universal connector layer for AI Agents and can evolve into a powerful management layer in the future. But right now, key gaps remain: 🔒 Security controls are still evolving, no standard approach across implementations 📉 Monitoring & observability require custom setups, no mature built-in framework yet These are critical if MCP is to reach enterprise grade adoption. Had a great conversation with some speakers on this, and it was reassuring to see similar perspectives. #apidays #API #AI #AgenticAI #DigitalTransformation #TechEvents

🚀 DeepSeek-V3.2-Exp is now available on GMI Cloud Inference Engine! Built on V3.1-Terminus, this experimental release introduces DeepSeek Sparse Attention (DSA) — delivering faster, more efficient training and inference on long-context workloads. On GMI Cloud, you can deploy DeepSeek-V3.2-Exp with enterprise-grade reliability, optimized GPU orchestration, and rapid time-to-value — built for teams moving from research to production. 👉 Try it today on the Inference Engine: https://lnkd.in/gtXBdZxC #AI #DeepSeek #LLM #Inference #GMICloud #Opensource #Infra #ML #GPU

AI sounds exciting - but before you switch it on, make sure your business is ready. In this short clip, Paul from Ingram Micro Cloud explains the Microsoft 365 Copilot Technical Readiness Assessment - a simple, structured way to check your systems are safe and prepared for Copilot. Think of it like a “health check” before adding AI into your day-to-day tools. It ensures you get all the benefits without creating new risks. Watch the clip here: https://lnkd.in/eAJMwbQj or the full video here: https://lnkd.in/eJRT9sA4

Extending software and cloud internals to LLMs and Agentic AI. There are two thread/process/module/system/cloud software internals analogy levels: the LLM system alone and the Agentic AI system. The same is for container/pod/control plane/operator analogy. Inspiration: https://lnkd.in/e-PcX3C Conversation: https://lnkd.in/exVeswDM Summary: https://lnkd.in/eHwtuMYz

When it comes to AI and ML, infrastructure performance isn’t optional, it’s mission critical. The Sycomp Intelligent Data Storage Platform, deployed on Google Cloud A3 Ultra VMs, has been validated through MLPerf® and FIO benchmarking, proving its ability to meet the toughest demands of today’s R&D environments. Key Results: ✅ MLPerf Storage v1.0 benchmark: 23 GiB/s average throughput, scalable for future growth ✅ FIO workloads: 157,000 IOPS (4KiB random reads) & 28.5 GiB/s (64KiB sequential reads) ✅ Demonstrated success on a 5-node Sycomp cluster with A3 Ultra compute nodes With near-peak throughput and proven scalability, Sycomp ensures AI workloads run at maximum efficiency, without compromise. Download the full technical brief: https://hubs.la/Q03MFS4D0 #AI #ML #HPC #GoogleCloud #MLPerf #FIO #Benchmarking #HighPerformanceComputing #DataStorage #Sycomp #GlobalAdvantage #GlobalIT #ITintegrator #TechnologyMeansTheWorld

See how Sycomp Intelligent Data Storage Platform on Google Cloud achieved 23 GiB/s and 157K IOPS in MLPerf & FIO testing—built for next-gen AI demands.

AI sounds exciting - but before you switch it on, make sure your business is ready. In this short clip, Paul from Ingram Micro Cloud explains the Microsoft 365 Copilot Technical Readiness Assessment - a simple, structured way to check your systems are safe and prepared for Copilot. Think of it like a “health check” before adding AI into your day-to-day tools. It ensures you get all the benefits without creating new risks. Watch the Full Video here: the full video here: https://lnkd.in/e_DkVAG9

#RedNote, a popular and rapidly growing #ecommerce and social media platform adopted Alluxio to meet its nightly model training and distribution SLAs and lower model distribution costs. Alluxio eliminates storage bottlenecks and cloud storage throttling, bringing 45% increase in CPU utilization and 41% improvement in model training time. Learn More: https://lnkd.in/g6kTuRfz #AI #CPU #ModelTraining #MachineLearning #AIInfra

Multi-vendor AI just got a boost. At Huawei Connect 2025, Huawei said it will open-source CANN, the Mind series toolchains, and openPangu models by Dec 31—aiming to cut lock‑in, support PyTorch/vLLM, and enable flexible OS integration via the UB OS Component. For cloud teams, that could ease migration and performance tuning—if documentation and examples arrive production‑ready. While you assess AI stacks, keep storage spend predictable with BHK Cloud: effective, low‑cost cloud storage at just 2.99 USD per TB per month and best‑in‑class customer service. Which part of the December release matters most to your roadmap?

AI promises to revolutionize both industry innovation and government contracting in the U.S. As such, the federal government is making unprecedented levels of investment in the technology.  Michael Greenman, Deltek senior marketing manager for cloud solutions, recently hosted a GovCon Wire webinar on AI opportunities for GovCons. Read the five biggest takeaways for GovCons here- https://lnkd.in/ea-7hYUA _______ #GovConWebinar #Deltek