How MLCCs and polymer tantalum capacitors support AI servers

RDMA Networking Role in Data Center Compute: Remote Direct Memory Access (RDMA) is a critical component in performance of data center workloads. One of the key reasons for OCI’s recent success is the extreme technical competence of our data center teams which have a deep understanding of networking from first principles. Two of my colleagues recently published a blog on RDMA performance in OCI superclusters (Leo LI and Rik Kisnah) and I think the article does a great job explaining RDMA, what “lossless RDMA” is, and why lossless RDMA is critical for maximum performance. As an example, when operating at zettascale (100k GPUs) as: “A 0.1% loss rate reduces GPU Utilization 10%.” “A 1% loss rate reduces GPU utilization 90%.” This makes lossy RDMA a liability, not andvantage. However, scaling lossless RDMA to clusters of this size comes with extreme challenges, which are covered in the article. You can check it out here: https://lnkd.in/eRskfv5t If you like my content, feel free to follow or connect! #softwareengineering #gpus #rdma

https://lnkd.in/g9w77jH7 "Key to this is a level of coherency between the CPUs and GPGPUs, which allows data to be shared seamlessly between compute elements. This reduces unnecessary data movement, improving responsiveness while cutting power use."

Excited to share a major milestone: our joint solution with Supermicro and Cornelis Networks is now live—a purpose-built platform to accelerate HPC workloads while reducing cost and power. Combining Supermicro’s FlexTwin™, a high-density liquid-cooled 2U server chassis optimized for next-gen CPUs and memory, with Cornelis CN5000 Omni-Path 400G networking, we’ve delivered: ·      Up to 1.5× higher application performance versus competing 400G fabrics. ·      Up to 2.3× higher performance per network watt when leveraging liquid cooling. ·      A performance-per-dollar advantage (≈ 1.29×) in networking costs, helping reduce TCO across large-scale HPC deployments. Cooling and density designed for the toughest workloads — the FlexTwin captures up to 95% of system heat through cold plate technology, enabling ultra-dense racks and supporting thousands of cores. This solution is perfect for demanding domains like computational fluid dynamics (CFD), multiphysics simulation, climate modeling, national-security compute, and large-scale analytics. #HPC #AI #Supercomputing #LiquidCooling #HighPerformanceComputing #CornelisNetworks #Supermicro #Interconnect #Networking #GPU #AIinfrastructure #CN5000 #FlexTwin https://lnkd.in/euui4yKR

TechPowerUp recently published a detailed review of our MonTitan™ 7.68TB enterprise SSD, commending its strong sequential and random performance, flexible NAND design, and solid results under AI and LLM workloads. Supporting both TLC and QLC NAND across a wide range of capacities and form factors, the MonTitan platform delivers excellent synthetic performance and consistent reliability for diverse data center applications. The review also highlighted its ability to work with NAND from multiple manufacturers—showcasing MonTitan’s adaptability and scalability. 🔗 Read the full review: https://lnkd.in/eW-vuNCV #SiliconMotion #MonTitan #EnterpriseSSD #StorageSolutions #DataCenter #PCIeGen5 #NVMe #AI

The Micron 7600 MAX is built for heavy write enterprise workloads. We put the drive through our lab to see how its endurance, latency consistency, and power profile stack up for databases, caching tiers, and mixed IO. Key takeaways • Write intensive “MAX” SKU targets high DWPD use with strong sustained performance • Excellent latency stability and QoS under mixed and steady-state loads • Competitive performance per watt for dense servers and constrained racks • Clear fit for databases, logging, analytics scratch, and AI data staging Read the full review: https://lnkd.in/ghju5U2B #Micron #NVMe #SSD #DataCenter #StorageReview Micron Technology

The Micron 9550 MAX targets balanced performance for AI staging, databases, and analytics. We ran it through mixed IO and sustained loads to assess its performance and determine its fit. Key takeaways: • Strong read and write balance with predictable QoS under pressure • Low and steady latency that protects SLAs during peak windows • Solid performance per watt for dense servers and edge racks • Enterprise features covered: NVMe 2.0, robust telemetry, security options • Clear fit for DB logs, hot datasets, and AI feature stores Read the full review: https://lnkd.in/g_KFnh-7 #Micron #NVMe #SSD #DataCenter #StorageReview Micron Technology

Users complain about slow page loads, API response delays, and soaring bandwidth costs, yet few realize the bottleneck might lie in gzip—a compression algorithm that has faithfully served for decades. While it was once sufficient, gzip now struggles to keep pace with today's dynamic content and high-concurrency demands. That's why we've integrated the modern compression algorithm zstd into OpenResty Edge. By leveraging lower CPU overhead, we achieve higher compression ratios and faster transmission speeds. Curious about how to embrace next-generation compression technology in OpenResty Edge? This article has the answers you're looking for: https://lnkd.in/gS8zrGKj

The Data center GPU market is on track to grow from $21.6B in 2025 to $265.5B by 2035. (source: Data Center GPU Market Size and Share Forecast Outlook 2025 to 2035) Exploding demand for GPUs means some AI teams wait weeks (or months) for access to enterprise-grade infrastructure. This creates a variety of pipeline-to-production issues: - Shared resources (versus dedicated hardware) slow down experiments and delay model deployments. - Without guaranteed compute, R&D pipelines stall. They can skip the wait when they partner with Voltage Park: ✔️ We've expanded our fleet of H100s to now include Blackwell clusters - no waiting in line. ✔️ No hyperscaler lock-in: scale up or down instantly based on your needs. ✔️ Bare-metal access for maximum performance, not throttled VMs. Our website: https://bit.ly/4lnrQTp

Generative #AI is revolutionizing the way we think about compute power—and with it, data center cooling strategies. The latest GPU-accelerated servers consume up to 20x the power of standard CPU servers, generating immense heat loads that can only be managed with liquid cooling. But while liquid cooling is essential, it’s not without its challenges. Check out this blog by Steven Carlini for a deeper dive: http://spr.ly/6040A7zuO

The AI Compute Era: How the Cabinet-Type CDU Becomes Critical Infrastructure for Data Center Liquid Cooling? ✨ For the demands of AI and HPC, our Cabinet-Type CDU (Coolant Distribution Unit) is the next-gen liquid cooling core. It delivers precise, cabinet-level temperature control with an integrated, safe, anti-leak design. 🤝 This CDU ensures efficient, stable cooling for high-power servers and is a key component of future liquid-cooled data centers. Click to explore the technical details of this Cabinet-Type CDU for high-density computing:https://lnkd.in/ddRJy5iY #LiquidCooling #CDU #AIServers #HPC