Supermicro simplifies Edge AI deployments with validated Kubernetes appliances with Red Hat and Everpure. SAN JOSE, Calif., July 8, 2026 - Super Micro Computer, Inc. (NASDAQ: SMCI), an AI, Enterprise, Storage, and 5G/Edge Total IT Solution Provider featuring Data Center Building Block Solutions(R)(DCBBS), today announced the launch of Kubernetes Edge AI appliances in collaboration with Red Hat and Everpure. Supermicro has validated a full-stack edge Kubernetes solution, powered by the industry's leading Kubernetes-driven hybrid cloud application platform, Red Hat OpenShift, and the first Kubernetes data management platform tailored for AI workloads from Portworx by Everpure. This turnkey appliance, complete with preloaded software and hardware, is made available to customers through Supermicro. "AI inferencing at the edge requires more than just hardware - it demands a validated, scalable platform that customers can deploy with confidence," said Vik Malyala, chief business officer, Supermicro. "Together with Red Hat and Everpure, we are delivering a turnkey Kubernetes Edge AI Appliance that simplifies deployment, accelerates time-to-revenue, and enables customers to efficiently scale AI workloads across distributed edge environments." By combining Red Hat OpenShift with Supermicro's edge computing infrastructure and the Portworx by Everpure data management platform for AI workloads, organizations can more easily deploy, manage, scale, and secure AI applications across distributed edge environments. "As AI-driven applications continue to reshape how businesses operate at the edge, the need for a robust, consistent, and scalable platform is paramount. Red Hat OpenShift delivers that foundation, providing the common hybrid cloud application environment that simplifies the complexity of deploying, orchestrating, and managing AI workloads. In collaboration with Supermicro and Everpure, we are committed to empowering customers with a supported, integrated, and high-performance solution that accelerates their time-to-value for AI inferencing at the edge," said Kelly Switt, senior director, Intelligent Edge and Industrial Business Lead, Red Hat. Portworx by Everpure provides the Kubernetes-native storage and data management layer for Supermicro's Edge AI Appliances. This enables enterprises to run AI inference, containers, and virtual machines at edge locations with the same enterprise-grade data services available in their core data centers. Unlike array-based storage solutions that require dedicated hardware at each site, Portworx offers software-defined, aggregated local storage on Supermicro's compact edge servers into a resilient, self-healing data platform that operates autonomously, even during network outages. The result is enterprise-grade high availability and data protection at every edge location, with consistent storage policies and a unified operational experience that extends seamlessly from edge to core to cloud. "Enterprises deploying AI at the edge face a critical infrastructure gap, they need enterprise-grade storage and data protection, but they can't run traditional arrays in environments like retail stores or factory floors," said Greg Muscarella, general manager, Portworx by Everpure. "Together with Supermicro and Red Hat, we're delivering a validated, turnkey solution that combines Portworx services customers rely on like consistent management, built-in resilience, and the operational simplicity to scale to thousands of sites without the need for on-site IT expertise." Supermicro is a leader in computing edge infrastructure, with one of the largest, most energy efficient, and most diverse portfolios of edge servers and devices, in a full range of form factors. This enables Supermicro to develop tailored solutions for each customer use case, with optimized initial acquisition cost, and total-cost-of-ownership (TCO). Supermicro DCBBS delivers complete, modular AI infrastructure built from validated components and subsystems, enabling flexible deployment from individual servers and networking to full rack-scale and data center-level solutions, including software and services. Supermicro continues to lead the industry with its comprehensive portfolio of AI infrastructure solutions, enabling organizations worldwide to deploy scalable, efficient, and environmentally responsible AI data centers. About Super Micro Computer, Inc. Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first-to-market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. Supermicro is a Total IT Solutions provider with server, AI, storage, IoT, switch systems, software, and support services. Supermicro's motherboard, power, and chassis design expertise further enables its development and production, enabling next-generation innovation from cloud to edge for its global customers. Its products are designed and manufactured in-house (in the US, Taiwan, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions(R) allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from its flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power, and cooling solutions (air-conditioned, free air cooling or liquid cooling). Supermicro, Server Building Block Solutions, and Supermicro Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc. All other brands, names, and trademarks are the property of their respective owners. Media Contact: Greg Kaufman Super Micro Computer, Inc. [email protected]

Connecting automation, integration, and modern IT at Rdeča nit prihodnosti. The Smartis and Red Hat event brought together IT professionals, partners, and technology experts to discuss automation, infrastructure integration, and the future of modern IT environments. The Rdeča nit prihodnosti event, organized by Smartis in collaboration with Red Hat, highlighted the growing importance of automation, integration, and collaboration in building efficient and future-ready IT infrastructures. Through expert presentations, practical examples, and real-world discussions, the event demonstrated how modern IT environments are evolving beyond isolated tools toward more connected, automated, and integrated ecosystems. Held in a relaxed and collaborative atmosphere, the event brought together professionals from different companies and technology backgrounds to exchange experiences, discuss current challenges, and explore modern approaches to infrastructure management and automation. From isolated tools to integrated solutions. One of the key themes throughout the event was the importance of connecting technologies, platforms, and expertise across different ecosystems in order to create more efficient and scalable IT environments. Particular attention was given to solutions such as Terraform and Ansible Automation Platform, showcasing how infrastructure automation and configuration management tools can work together to simplify operations, improve consistency, and support more agile IT processes. The discussions also highlighted how organizations today increasingly require integrated approaches that combine automation, orchestration, and collaboration across teams and technologies rather than relying on standalone tools and disconnected workflows. Practical insights and knowledge sharing. In addition to the technical sessions, the event provided valuable insight into real-world implementation challenges, best practices, and practical use cases related to infrastructure automation and modern IT operations. Participants had the opportunity to exchange experiences with experts and peers from across the industry while discussing how automation platforms can help organizations improve operational efficiency, reduce complexity, and better prepare for future technological demands. As with many successful technology events, some of the most valuable conversations continued after the keynote sessions through informal networking, relaxed discussions, and additional knowledge sharing between participants. Collaboration and the Future of Modern IT. The event once again demonstrated the importance of collaboration between technology partners, companies, and experts in shaping the future of modern IT environments. At Smartis, Smartis strongly believe that innovation is driven not only by technology itself, but also by the exchange of knowledge, experiences, and ideas between people and organizations working together toward common goals. Smartis would like to thank Red Hat, all speakers, partners, and participants for contributing to an inspiring event filled with valuable discussions, practical insights, and a great atmosphere throughout the day.

RHEL AI 3.4 Released on AWS Marketplace: What's New and How to Upgrade. Red Hat Enterprise Linux AI 3.4.0 is now available on AWS Marketplace. Here is what changed, how to upgrade running instances, and what the new version means for enterprise AI workloads. Red Hat just shipped RHEL AI 3.4.0 (build 20260602-1780387621) on AWS Marketplace. If you are already running RHEL AI on EC2, your existing instances are unaffected - but upgrading is recommended. What is RHEL AI. Red Hat Enterprise Linux AI is a purpose-built operating system image that packages everything you need to run AI inference and fine-tuning workloads: * InstructLab for synthetic data generation and model alignment * vLLM for high-throughput inference serving * Granite models pre-loaded and ready to serve * GPU drivers (NVIDIA CUDA) pre-configured * SELinux and container isolation enabled by default It ships as an AMI on AWS Marketplace, a QCOW2 for on-prem, and ISOs for bare-metal deployment. What changed in 3.4. While Red Hat has not published detailed release notes for this specific build, version 3.4 follows the rapid cadence established since RHEL AI 1.1 in late 2024. Based on the Red Hat AI platform roadmap shared at Summit 2026: * InstructLab updates - improved synthetic data generation pipelines and model evaluation tooling * vLLM performance - latest upstream vLLM with better throughput on NVIDIA GPUs * Security patches - RHEL 9 base layer with all current CVE fixes * Granite model refresh - newer model checkpoints with improved reasoning capabilities * bootc image mode - immutable OS updates via bootc upgrade for atomic rollbacks How to Upgrade on AWS. Option 1: launch a new instance. The simplest path - launch the new AMI and migrate your workload: # Find the new RHEL AI 3.4 AMI from Marketplace aws ec2 describe-images \ -owners aws-marketplace \ -filters "Name=name,Values=*RHEL-AI*3.4*" \ -query 'Images.{ID:ImageId,Name:Name,Date:CreationDate}' \ -output table Option 2: in-place upgrade with bootc. If your instance supports image mode (RHEL AI 1.3+): # SSH into your running instance ssh -i your-key.pem cloud-user@your-instance-ip # Check current version cat /etc/redhat-release ilab -version # Pull and stage the new image sudo bootc upgrade # Reboot to apply sudo systemctl reboot After reboot, verify: cat /etc/redhat-release rpm -q vllm instructlab Option 3: keep running (no action required). Your existing subscription and running instances are unaffected. Previous versions remain accessible. Only upgrade when your maintenance window allows. SSH access reminder. RHEL AI on AWS uses: * Username: cloud-user (not ec2-user, not root) * Auth: SSH key pair you selected at launch * Root: Disabled by default (use sudo) # Set permissions on your key chmod 400 your-key.pem # Connect ssh -i your-key.pem [email protected] Instance Sizing for RHEL AI. For inference workloads with Granite models: | Instance Type | GPUs | VRAM | Best For | | g5.xlarge | 1x A10G | 24 GB | Small models, development | | g5.12xlarge | 4x A10G | 96 GB | Granite 7B inference | | p4d.24xlarge | 8x A100 | 320 GB | Fine-tuning, large models | | p5.48xlarge | 8x H100 | 640 GB | Production training | Why this matters. RHEL AI is Red Hat's answer to the "AI platform fragility" problem. Instead of stitching together drivers, frameworks, and serving layers yourself, you get a tested, supported stack that upgrades atomically. Combined with InstructLab fine-tuning and Ansible-driven deployments, version 3.4 continues the trajectory toward enterprise AI that is as manageable as any other RHEL workload.