Welcome to our dedicated page for Super Micro Computer news (Ticker: SMCI), a resource for investors and traders seeking the latest updates and insights on Super Micro Computer stock.
News and updates for Super Micro Computer, Inc. (NASDAQ: SMCI) focus heavily on its role as a Total IT Solution Provider for AI/ML, HPC, cloud, storage, and 5G/edge infrastructure. Company announcements frequently highlight new systems, platforms, and collaborations that expand its application-optimized IT portfolio across data centers, edge environments, and client systems.
Readers following SMCI news can expect coverage of AI infrastructure launches, including rack-scale and data center-scale solutions based on NVIDIA platforms such as Vera Rubin, Rubin, and Blackwell architectures. Supermicro regularly reports on liquid-cooled and air-cooled GPU systems, blade servers, and high-density platforms designed for AI training, inference, and other compute-intensive workloads.
News items also describe edge and retail-focused deployments, where Supermicro’s Edge AI infrastructure is used in intelligent retail stores, supply chains, and other distributed environments. These stories often involve ecosystem partners demonstrating AI-powered applications for loss prevention, digital twins, AI agents, and customer analytics, built on Supermicro’s edge systems.
In addition, SMCI news includes updates on new product families and portfolio expansions, such as SuperBlade, MicroBlade, 1U and 2U rackmount platforms, 5U GPU systems, and petascale storage solutions. The company also announces participation in industry events and investor conferences, where it showcases its AI-optimized systems and Data Center Building Block Solutions.
Investors and technology professionals can use this news feed to monitor product introductions, strategic collaborations, financing developments, and event participation that relate to Supermicro’s AI, cloud, storage, and edge computing strategy. Bookmark this page to access an ongoing record of SMCI’s announcements and press releases.
Supermicro (SMCI) unveiled a new portfolio of desktop, edge, and client AI systems on Jan 6, 2026, spotlighting the Super AI Station and multiple GPU-ready workstations and compact edge platforms.
Key technical highlights include a deskside Super AI Station claiming more than 5x AI PFLOPS versus traditional PCIe GPU workstations and 775GB coherent memory; Intel Xeon 6 SoC–based SYS-542T-2R with 2x 100GbE and media transcoding; an AMD-based slim AI PC for client markets; three AMD EPYC 4005 edge systems with up to 16 cores; and a fanless Intel Core Ultra platform delivering up to 180 platform TOPS for robotics and edge AI.
Supermicro (NASDAQ: SMCI) announced expanded US-based manufacturing capacity and enhanced liquid-cooling solutions to accelerate deployment of NVIDIA Vera Rubin NVL72 and NVIDIA HGX Rubin NVL8 platforms on Jan. 5, 2026.
The announcement highlights a rack-scale NVL72 SuperCluster with 72 Rubin GPUs, 36 Vera CPUs, 3.6 exaflops NVFP4, 1.4 PB/s HBM4 bandwidth, and advanced warm-water in-row CDU liquid-cooling. It also details a 2U HGX Rubin NVL8 8-GPU system delivering 400 petaflops NVFP4 and 176 TB/s HBM4 bandwidth. Supermicro positions its Data Center Building Block Solutions and Direct Liquid Cooling to enable faster, customizable, rack-scale AI deployments with NVIDIA interconnects and Spectrum-X networking options.
Supermicro (NASDAQ: SMCI) introduced the SBI-622BA-1NE12-LCC 6U SuperBlade on Jan 1, 2026, a high-density blade chassis powered by dual Intel Xeon 6900 Series processors (up to 256 P-cores per blade; up to 128 P-cores per CPU).
The design supports direct liquid cooling and air cooling, fits a standard 19-inch rack at 32-inch depth, reduces cabling by up to 93%, and lowers footprint by up to 50%. A 6U enclosure holds up to 10 blades, enabling up to 25,600 cores per rack and support for memory up to 3TB DDR5 per blade plus multiple NVMe and E1.S drives and 400G networking options.
Azio AI (NASDAQ: SMCI) said it is participating in early-stage technical discussions to support the Philippines' modernization and restructuring of the Maharlika Investment Fund and Maharlika Investment Corporation as part of the 2024–2025 planning cycle.
The company described work on evaluating GPU-based AI data centers, sovereign compute architectures, and modular deployment models, and noted its role as a certified distributor of Supermicro and NVIDIA platforms.
Azio AI framed the engagement as non-binding and subject to definitive agreements, regulatory approvals, and corporate governance, and said it will continue technical evaluations as Philippine authorities advance MIF restructuring toward 2025 objectives.
Supermicro (NASDAQ: SMCI) announced Dec 9, 2025 the commercial availability of new liquid-cooled NVIDIA HGX B300 systems in two form factors: a 4U Front I/O 19-inch EIA rack design and a compact 2-OU (OCP) 21-inch Open Rack V3 design.
Key facts: the 2-OU OCP platform supports up to 144 GPUs per rack (18 nodes), the 4U EIA option enables up to 64 GPUs per rack, each system can house NVIDIA Blackwell Ultra GPUs at up to 1,100W TDP, and systems deliver 2.1TB HBM3e GPU memory per system. DLC-2 liquid cooling captures up to 98% of system heat and the designs target up to 40% power savings and fabric throughput up to 800Gb/s.
Super Micro Computer (SMCI) announced new AI-optimized servers and edge systems and is showcasing them at Supermicro INNOVATE! 2025 in Madrid.
Key highlights include systems using NVIDIA HGX B300 and GB300 NVL72 rack-scale GPUs, new edge platforms with Intel Xeon 6 SoC, NVIDIA Jetson Orin NX, and a short-depth 1U using NVIDIA Grace C1. Products ship worldwide from manufacturing sites in the US, Netherlands, Taiwan, and Malaysia. Many systems offer liquid cooling that can reduce data center power consumption by up to 40%. New models target AI training, edge inference, telco RAN, and high-density GPU and storage use cases.
Super Micro Computer (Nasdaq: SMCI) announced participation in three investor events in December 2025: the UBS Global Technology and AI Conference (Dec 1-2, 2025 in Scottsdale, AZ; 1x1 meetings only), the Raymond James TMT & Consumer Conference (Dec 8, 2025 in New York, NY; fireside chat at 1:40pm ET), and the Barclays Global Technology Conference (Dec 11, 2025 in San Francisco, CA; fireside chat at 9:50am PT).
These appearances give investors opportunities for direct management engagement via meetings and scheduled fireside chats during the specified dates and locations.
Supermicro (NASDAQ:SMCI) launched a new 10U air-cooled AI server featuring AMD Instinct MI355X GPUs, announced Nov 19, 2025. The system is built on Supermicro's Data Center Building Block® (DCBBS) architecture and is shipping now.
Key specs: up to 4x generation-on-generation AI compute improvement, up to 35x inferencing leap, 288GB HBM3e per GPU, 8TB/s bandwidth, and a TDP increase from 1000W to 1400W to enable double-digit performance gains versus the 8U MI350X air-cooled system.
Supermicro (SMCI) on November 18, 2025 announced new turnkey AI Factory cluster solutions built on NVIDIA Enterprise Reference Architectures and NVIDIA Blackwell GPUs to simplify deployment of AI at scale. Solutions are validated by Supermicro and delivered as full-stack racks including the NVIDIA software stack (NVIDIA AI Enterprise, Omniverse, Run:ai) and NVIDIA Spectrum-X Ethernet. Preconfigured cluster sizes span from 4 nodes / 32 GPUs to 32 nodes / 256 GPUs, tested up to L12 multi-rack, and include integrated cabling and optional storage systems supporting NVIDIA AI Data Platform designs. Supermicro is taking orders for 4-, 8-, and 32-node configurations with RTX PRO 6000 Blackwell Server Edition or HGX B200 GPUs to accelerate time-to-online for AI development and production.
Supermicro (NASDAQ:SMCI) announced its showcase at Supercomputing 2025 on November 17, 2025, highlighting AI, HPC, and liquid-cooled data center solutions.
Key exhibits include rack-scale NVIDIA GB300 NVL72 (72 Blackwell Ultra GPUs, 36 Grace CPUs, 279GB HBM3e per GPU), 4U HGX B300 liquid-cooled racks, 1U GB200 NVL4 nodes, Super AI Station desktops, liquid-cooled SuperBlade and FlexTwin platforms, and density-optimized MicroBlade and BigTwin systems. The company emphasized its DCBBS architecture and direct liquid cooling with Rear Door Heat Exchangers (50kW/80kW), Sidecar CDUs up to 200kW, and closed-loop water/dry towers to improve efficiency, scalability, and time-to-online for enterprise AI and HPC deployments.