Silicon Motion's PCIe Gen6 SSD controllers target AI storage bottlenecks as the industry shifts to faster interfaces in late 2026, while PCIe Gen5 remains critical for cost-sensitive AI inference clusters. The core news: starting in the second half of 2026, server platforms will enable PCIe Gen6 speeds, doubling per-lane bandwidth over Gen5 and enabling 800Gbps network links from a single x16 slot—equivalent to 32 PCIe Gen3 NVMe SSDs. This transition, the first major PCIe generation shift since AMD EPYC 9004 Genoa brought Gen5 to servers in 2022, addresses surging AI inference workloads and KV cache demands. Silicon Motion's SM8466 Gen6 controller supports PCIe Gen6 x4, exceeding 28GB/s sequential performance and over 7 million random IOPS—roughly double its Gen5 SM8366. It targets NVIDIA CMX and KV-cache extension use cases with SR-IOV, Multi Physical Function isolation, and NVMe 2.0 Flexible Data Placement for multi-tenant AI workloads. However, PCIe Gen5 SSDs will remain vital for AI infrastructure as organizations balance performance and budgets amid supply constraints. A single 2026 Gen6 SSD delivers throughput equivalent to about eight early-2021 PCIe Gen3 NVMe SSDs, highlighting generational leaps. Silicon Motion's controllers are used by SSD OEMs; actual performance depends on firmware, host platforms, and software stacks. The company advertises with ServeTheHome via an agency, making this content sponsored.
Mikroe adds Swift Navigation Skylark to GNSS 19 Click board
Renesas Upgrades DDR5 MRDIMM Chipset for Enhanced Performance
Qualcomm and MediaTek are preparing to unveil their latest 2nm flagship smartphone system-on-chip (SoC) platforms in September 2026, with both brands expected to launch standard and upgraded chips at the same time to meet different customer needs...
AMD announced the Ryzen AI Embedded X100 and new Kria AI system-on-module/dev kit at its Advancing AI event, targeting the physical AI (robotics and edge AI) market as its next growth frontier beyond server AI. The X100 series, based on Strix Halo silicon, delivers up to 16 Zen 5 CPU cores, 40 RDNA 3.5 GPU cores, and a 256-bit LPDDR5X memory bus, qualified for industrial use from -40°C to 105°C with sub-7 μS interrupt latency for real-time operation. Three SKUs are planned: X199 (16C+40CU), X188 (12C+32CU), and X168 (8C+32CU), all under a 10-year lifecycle program. AMD also unveiled a new Kria SOM and dev kit powered by the X100, replacing older Zynq-based modules to offer higher performance for robotics, healthcare, defense, and broadcast applications. The company sees physical AI as the next business AI wave, driven by improving model accuracy and shrinking model sizes that make edge AI more viable. With cash flow from the data center AI boom, AMD is investing in this peripheral market alongside its core server hardware push.
Why Sustained Performance Defines the Next Phase of Edge AI
Nvidia's power in AI has never rested on GPU performance alone — it has also depended on the CUDA software ecosystem. That moat is now facing a new variable as AMD deepens its challenge through software, systems, and partnerships with Anthropic.
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In a detailed review of the Dell EMC VEP4600 powered by an Intel Xeon D-2187NT processor, the 16-core server with 64GB RAM, 1TB SSD, and ten 10GbE ports is highlighted as a compelling $495 bargain for network gateway and uCPE applications, matching search intent for cost-effective enterprise server hardware.
The 1U system measures roughly 15 inches deep and includes front-panel LED status, two USB 3.0 ports, a serial port, and a management port. An ASPEED BMC provides additional serial and management access. In the center, two rNDC carriers house quad-port Intel X710 cards, delivering eight extra SFP+ 10G ports with distinctive status LEDs. On the right side, the Xeon D-2187 SoC integrates two Intel X722 10G SFP+ ports, plus four Intel i350-am4 1GbE ports for high-quality connectivity.
The rear features dual 495W 80Plus Platinum redundant power supplies—oversized for the system’s power draw and more efficient than the typical 80Plus Gold units found in Xeon D-2100 era systems. Hot-swappable fans are rear-removable, with all cabling (except power) located at the front—a common design for uCPE devices. The review unit also came with rackmount rails, which can be costly to source separately.
The reviewer notes that this used/refurbished pricing may rise quickly after publication, but the VEP4600 serves as an excellent template for finding similar high-port-count, low-power server deals.
Emerson Expands AI Capabilities for Test Environments
AMD and Anthropic have announced a strategic partnership to deploy up to 2 gigawatts of AMD Instinct MI450 Series GPUs in AMD Helios rackscale solutions, with the first gigawatt deployment beginning in the first half of 2027, marking a major expansion of AMD’s role in global AI infrastructure. The collaboration addresses surging demand for training and inference capacity driven by rapid AI adoption. Anthropic will deploy AMD Helios rackscale solutions featuring AMD Instinct MI455X GPUs (part of the MI450 Series), AMD EPYC “Venice” CPUs, AMD Pensando networking, and AMD ROCm software—purpose-built for next-generation AI workloads. This builds on Anthropic’s existing use of AMD Instinct MI355X GPUs. Additionally, AMD and Anthropic are launching a multiyear engineering collaboration to use Claude to optimize workloads for AMD Instinct GPUs and accelerate ROCm software development. AMD will broadly adopt Claude across its engineering and product development teams. AMD has also committed to a strategic equity investment of up to $5 billion in Anthropic. “We are thrilled to deepen our partnership with Anthropic and deploy AMD Helios at gigawatt scale,” said Dr. Lisa Su, chair and CEO of AMD, emphasizing the combined leadership in frontier AI and high-performance computing. Tom Brown, co-founder and chief compute officer at Anthropic, noted that access to compute is central to keeping Claude at the frontier and meeting customer demand, and that running across diversified hardware allows mapping the right workloads to the right hardware. This announcement represents a major milestone, combining gigawatt-scale deployment with deep engineering collaboration to build a long-term foundation for next-generation AI infrastructure.
Omada Fusion Gateway 2.5G: New SMB Business Gateway with Integrated Controller and 2.5GbE Ports
The Omada Fusion Gateway 2.5G is a new business gateway device from Omada that shifts away from individual device management to an integrated, subscription-free local controller experience, targeting small-to-medium businesses seeking centralized networking. The compact gateway features a color touchscreen for diagnostics, five 2.5GbE ports, and a USB Type-C port. Setup is simplified via a Bluetooth app or default IP (192.168.188.1), with no serial console option—designed for ease of use over automation.
The integrated controller manages VLANs, WLANs, guest networks, and cascades configurations to Omada Wi-Fi APs and PoE+ switches. The dashboard offers topology charts, client lists, VPN server setup (including multi-WAN for backup 5G or Starlink), IDS/IPS, content blocking, and network tools like ping and packet capture. A controller migration assistant aids upgrades. The GUI is comparable to Ubiquiti UniFi in ease of use.
Omada provided a full solution for testing: the gateway, a 2.5GbE/10GbE PoE+ switch, APs (EAP775-Wall, EAP775-Outdoor, EAP772 Indoor), and mounting options. The gateway alone requires APs and a PoE+ switch for full functionality, but the centralized management is a major upgrade for SMBs moving from ISP router/Wi-Fi combos. This is a sponsored overview; deeper performance tests (e.g., Keysight CyPerf) will follow.
A New Route to Fault-Tolerant Quantum Computers
Nvidia CEO Jensen Huang’s July 24, 2026 letter “Open Weights and American AI Leadership” advocates for US-led open source AI models, sparking debate on global tech sovereignty as it implicitly counters China’s parallel ecosystem while leaving Europe, India, and Japan as consumers. The letter, published by the chip giant’s cofounder, argues that open weights drive cost efficiency, knowledge sharing, economic growth, and innovation, citing Linux as the prime example of open source accelerating IT progress. However, analysis reveals a distinctly US-centric perspective: most major open source projects are governed by US-based foundations, with American companies dominating contributions under well-defined licensing. While code remains globally accessible, the vision positions other nations as buyers of US hardware running open AI models “from” the United States—a phrase Huang has repeatedly emphasized. The document serves both as an invitation for countries to contribute to open source and as a test of their willingness to “play by the rules” of the dominant ecosystem. The European digital sovereignty paradox is highlighted: nations host data in domestic data centers but rely on imported US hardware and US-driven open source software, lacking global manufacturers for servers, processors, storage, and networking. Huang claims US-developed open models offer stronger security, transparency, and faster threat responses while preventing vendor lock-in. Yet the fierce US-China AI rivalry is accelerating innovation, and a rapidly growing parallel ecosystem is emerging in the background. The letter ultimately reflects one competing model in a world increasingly divided around alternative technological ecosystems.
Supermicro announced its next-generation H15 server portfolio powered by 6th Gen AMD EPYC 9006 Series CPUs, delivering up to 256 cores and 512 threads with a 1.7x generational CPU performance improvement, 2X PCIe bandwidth, and 2.6X higher memory bandwidth for cloud, enterprise, storage, HPC, and agentic AI workloads. The H15 family, built on Supermicro’s Data Center Building Block Solutions (DCBBS) architecture, includes purpose-built systems: Hyper for enterprise and AI inference, CloudDC for cloud-scale environments, GrandTwin for scale-out, FlexTwin for high-density liquid-cooled deployments, Petascale Storage supporting up to 4.8PB per system, and SuperBlade for rack-scale HPC and AI. Complementing the servers, Supermicro expanded AMD GPU-powered AI infrastructure with new 5U PCIe GPU servers (AS-5126GS-TNRT/TNRT2) supporting up to ten AMD Instinct MI350P GPUs with 144GB HBM3e memory each, and the Supermicro AMD Helios Platform—a liquid-cooled 72-GPU rack-scale solution combining AMD Instinct MI455X GPUs, 6th Gen EPYC CPUs, AMD Pensando Pollara 400 AI NIC, and ROCm software for large-scale AI training and inference. At Computex 2026, Supermicro demonstrated the densest EPYC 9006 rack implementation with 168 CPUs and 43,008 cores in a 48U rack using the H15 1OU FlexTwin system. The portfolio targets search intent for semiconductor, AI chip, data center, server, and GPU news, emphasizing performance, scalability, and efficiency for enterprise AI deployment.
Synopsys, AMD, and Microsoft Expand Agentic AI for EDA
Warning Shots Fired as AMD Announces New Data Center GPUs
Nvidia is pushing into the server CPU market with its Vera chip as AI infrastructure competition enters a new phase, seeking to evolve from a chip supplier into a full AI computing systems provider. But the company still needs cloud service providers (CSPs)...
Congatec Launches Ryzen AI-based COM-HPC Module