Dominik Parak’s Post

Case Study! Got to love when we can share something thoughtful in partnership with one of our beloved customers. AI is quickly becoming for us, another day at the office. With great customers that we help in their journey, together we are all learning so much, which, in turn, we can pass on our collective knowledge for what it is to innovate and support AI workloads globally. Have a read of the below case study. As much as I am in-depth about our business and the progress we make each week, I always find great learnings with everything we publish. Macnica Leverages PlatformDIGITAL® to Power AI Innovation Macnica needed to scale its AI-powered hardware verification environment to support their new #AI TRY IT NOW offering. Its existing data center was not able to meet the high-power requirements of its new NVIDIA DGX™ H100 GPU server. Macnica deployed High-Density Colocation on PlatformDIGITAL® to enable 2x higher density and support their evolving line of AI offerings. Read the case study to learn more: https://okt.to/TUGiRB #TheDataMeetingPlace #WhereTomorrowComesTogether #PlatformDIGITAL

Few Points: 1.Starting from CY2025,More adoptions of Customs AI ASICs from Hyperscale's (mainly Google and Amazon are ahead compared to MSFT and Meta) in order to reduce cost and to avoid more reliance on Nvidia chips(Could be issue in Supply and Demand). 2. AI ASICs and GPUs are both projected to experience double-digit compound annual growth rates (CAGR) until 2028, with AI ASICs expected to have the fastest growth. 3.Both AMD and Intel will started to see good tractions for their GPUs going forward but Nvidia is far ahead in their GPU package from Software to Hardware. 4. Interestingly Nvidia could enter in to Chips design services and could pose threat to Broadcom and Marvell. 5. Starting CY2025 we could see liquid cooled AI servers started to materialize Mainly for GB200 based servers.

As the demand for AI continues to rise across Europe, this partnership between NVIDIA and F5 aims to improve the affordability and overall performance of deploying AI solutions.

The future is here

What an incredible week we had at NVIDIA GTC24! We had many announcements, including the launch of our latest appliances for Generative AI and Large Language Model workloads, the AI400X2 Turbo. Boasting 30% more power than its predecessor, the AI400X2 Turbo offers faster performance and increased network connectivity, crucial for supporting the expanding AI workloads and GPU-accelerated processing in data centers. Read our latest blog to get the full list of announcements and presentations from NVIDIA GTC24. https://bit.ly/4aFPohw #GenerativeAI #LLM #GPU

Today is a great day for innovation and the topic from our #AIInfraDeck Release 2 is #SuperPOD—a game changer in large-scale AI infrastructure. Trademarked by NVIDIA, a SuperPOD is a #PreConfiguredClusterOfAdvancedGPUs, networking, and storage systems that seamlessly integrates hardware and software for optimized performance in demanding AI workloads. SuperPODs that use the #GB200 #NVL72, interconnect 576 GPUs across 8 racks, consuming around 1 megawatt of power. They provide a powerful, out-of-the-box solution, reducing the complexity of setup and maintenance while supporting broad AI applications. These systems are built to deliver exceptional performance, enabling businesses to focus on scaling their AI initiatives without getting bogged down by the technical challenges. One of the most compelling features of SuperPODs is its ability to meet the growing demands for AI workloads, minimizing downtime while offering powerful performance out of the box. The integrated system reduces the need for piecemeal setups, allowing for quicker deployments and greater productivity from the start. For AI-driven enterprises, implementing SuperPODs can significantly accelerate innovation, offering capabilities that align with machine learning, deep learning, and other high-performance AI tasks. Whether you're building models for research or deploying AI at scale in production, SuperPODs offer the ideal balance of speed, reliability, and flexibility. If you're interested in learning more about SuperPODs and how they can enhance your #AIInfrastructure, please reach out to me. My team and I are excited to dive deeper into your specific business needs and design the best solution for your AI goals. Let's get connected, and we’ll help you unlock the next level of your AI potential.  Thanks for checking this out. Get out there, do great things, inspire folks, be kind and also check out Ignite’s upcoming event: *** AI INFRA Summit | FRI, SEP 27 *** https://www.aiinfra.live/ … DM me to get 20% off your ticket!

Deploying AI with NVIDIA? Want to get the most out of it? See how F5 can help! - We are thrilled to announce our new collaboration with #NVIDIA to deploy F5 BIG-IP Next for Kubernetes on BlueField-3 DPUs, improving data movement for large-scale AI infrastructure and AI factories. Now, organizations pushing the boundaries with #AI can achieve high-volume Kubernetes ingress speeds, performance, and throughput by offloading network and security functions to NVIDIA's BlueField-3 data processing unit, freeing up valuable CPU cycles. Read more and explore the solution in-depth here: http://ms.spr.ly/6045WHXil #AI

Attending the NVIDIA AI Summit in DC and discussing our co-developed AI solutions and integrations to accelerate generative AI adoption was great. AI is revolutionizing industries by boosting efficiency and delivering faster insights, but it also demands advanced compute infrastructure and observability. OpsRamp now supports full-stack AI workload-to-infrastructure observability, including NVIDIA GPUs, AI clusters, DGX Systems, Mellanox InfiniBand, and Spectrum switches. IT teams can monitor AI infrastructure performance, health, and power consumption alongside their entire data center, all visualized in a unified service map. OpsRamp's new operations copilot leverages NVIDIA’s accelerated computing platform to analyze large datasets, improving productivity, while our integration with CrowdStrike provides real-time security insights. #NVIDIA #AIOps #OpsRamp #GenerativeAI #DigitalTransformation #HybridCloud #AI

We are thrilled to announce our new collaboration with #NVIDIA to deploy F5 BIG-IP Next for Kubernetes on BlueField-3 DPUs, improving data movement for large-scale AI infrastructure and AI factories. Now, organizations pushing the boundaries with #AI can achieve high-volume Kubernetes ingress speeds, performance, and throughput by offloading network and security functions to NVIDIA's BlueField-3 data processing unit, freeing up valuable CPU cycles. Read more and explore the solution in-depth here: http://ms.spr.ly/6042WyELa #AI

We are thrilled to announce our new collaboration with #NVIDIA to deploy F5 BIG-IP Next for Kubernetes on BlueField-3 DPUs, improving data movement for large-scale AI infrastructure and AI factories. Now, organizations pushing the boundaries with #AI can achieve high-volume Kubernetes ingress speeds, performance, and throughput by offloading network and security functions to NVIDIA's BlueField-3 data processing unit, freeing up valuable CPU cycles. Read more and explore the solution in-depth here: http://ms.spr.ly/6047Wyry9 #AI