NVIDIA Vera CPU takes center stage this week as the company releases its deepest technical disclosure yet on the upcoming server processor, including a full architectural whitepaper and fresh SPEC CPU 2026 benchmarks, ahead of Intel’s earnings and AMD’s Advancing AI event. The new details reveal that Vera features 88 Olympus CPU cores with spatial multithreading (176 threads), a 10-wide decoder fed by a 16-instruction fetch unit, 64KB L1 instruction cache and 96KB L1 data cache per core, 2MB L2 per core, and a 164MB unified L3 cache. Memory bandwidth reaches up to 1.2TB/s via LPDDR5X, with NVLink-C2C interconnects at 1.8TB/s and PCIe Gen6/CXL 3.1 support. The Olympus core employs memory renaming, value prediction, and move elimination to boost instruction-level parallelism, backed by 18 execution pipes (8 integer, 6 vector/SIMD). TDP ranges from 250W to 450W. While NVIDIA positions Vera as a broader server CPU—not just a GPU companion like Grace—the benchmarks show competitive but not universally dominant performance against Intel Xeon and AMD EPYC. The disclosures underscore NVIDIA’s push to grow in the lucrative server CPU market, aiming to pair Vera tightly with Rubin GPUs and dissuade customers from using rival processors.
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MSI showcased its upcoming CD182-S6091-X2 (DLC) server node at Computex, a high-density 1OU2N liquid-cooled system designed for AMD’s next-generation 6th-gen EPYC “Venice” platform, targeting data center operators seeking maximum compute density and efficiency. The CD182-S6091-X2 (DLC) packs two dual-socket nodes into a single 1OU OCPv3 chassis, enabling four Venice processors and 16 DDR5 memory channels per node (32 RDIMMs total) with direct liquid cooling (DLC) for both CPUs and memory to manage the high TDPs expected from Venice. Each node features PCIe Gen6 connectivity via an OCP 3.0 NIC slot, one FHHL and one HHHL PCIe Gen6 x16 slot, and four E1.S SSD bays for local storage. The system is powered by a 48VDC busbar, eliminating onboard power supplies. MSI also demonstrated an ORv3 liquid-cooled rack capable of housing 28 such nodes, supporting up to 100kW of computing—equivalent to 112 Venice processors and 1,792 RDIMMs—with dual 55kW Chicony power shelves and a 100kW Auras CDU for liquid-to-liquid cooling. The rack includes a 32-port 100GbE switch for data and dual 48-port 1GbE switches for out-of-band management via ASPEED AST2700 BMCs. With Venice bringing 16-channel memory, PCIe Gen6, and higher core counts, MSI’s CD182-S6091-X2 (DLC) positions itself as a leading platform for next-generation high-density AI and enterprise workloads.
AMD Instinct MI350P PCIe GPU trades shows specs comparison NVIDIA H200 RTX Pro 6000 inference memory capacity FP4 FP6 performance. The AMD Instinct MI350P accelerator, leveraging CDNA 4 architecture, has been prominently featured at Dell Tech World, HPE Discover, and Computex 2026, drawing significant attention from the AI and data center markets. Key specs position the MI350P against NVIDIA’s H200 NVL (141GB vs 144GB HBM3E memory) and the RTX Pro 6000 Blackwell Server Edition (96GB GDDR7). The MI350P’s advantage lies in modern architecture supporting FP6 and FP4 numeric formats, delivering higher dense compute performance for inference workloads, while NVIDIA’s Blackwell card lacks published FP6 figures and uses lower memory capacity. The MI350P is essentially half the OAM MI350X in compute, memory, and power—a design choice to fit a 600W passive-cooled PCIe card without video outputs. Its decode capabilities also support video and image feeds. AMD’s published dense performance figures at FP4 and FP6 exceed those of both NVIDIA competitors, and the ability to use lower-precision formats (MXFP6) allows fitting more model parameters into the card’s memory footprint. The accelerator is already appearing in systems from Dell, HPE, and other OEMs, signaling strong ecosystem adoption for large-scale AI inference deployments.
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**NVIDIA Expands Jetson Thor Lineup with Lower-Cost T3000 and T2000 Boards for Robotics and Edge AI**
NVIDIA this week announced it will expand its Jetson Thor lineup of robotics and edge AI boards with two new mid-grade models—the Jetson Thor T3000 and T2000—set to launch in Q1 2027, offering lower-cost, lower-power alternatives to the existing high-end T4000 and T5000 boards. The move addresses rising component costs, particularly memory prices, that have limited customer adoption of NVIDIA’s Blackwell-based Thor hardware.
The T3000 features 8 Arm Neoverse V3AE CPU cores, a 1536-core Blackwell iGPU delivering 865 TFLOPS of sparse FP4 performance (72% of the T4000), 32GB of LPDDR5X-8500 memory with full 237GB/s bandwidth, and 25GbE networking. With a max TDP of ~65W, NVIDIA pitches it as a budget-friendly option for robotics and multimodal AI workloads that are memory bandwidth-bound, offering similar inference performance to the T5000 in such scenarios. An IGX version with functional safety support will also be available.
The T2000 is a further cut-down board with 6 CPU cores, 1024 CUDA cores (400 TFLOPS sparse FP4), 16GB of memory on a half-width bus (137GB/s bandwidth), and 10GbE networking. It targets lighter-weight edge AI applications rather than complex robotics.
Alongside the hardware, NVIDIA released memory-optimized agent skills to help customers reduce memory consumption, enabling them to move to lower-memory configurations within the same hardware tier. The T3000 and T2000 will join the existing Thor lineup alongside the previous-generation Orin boards (AGX Orin, Orin NX, Orin Nano) for mainstream and entry-level products. Pricing has not been announced.
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iOS 27 public beta
5 d ago
Apple has released the first iOS 27 public beta for iPhone, giving users an early look at its biggest software update of the year, headlined by the new Siri AI. This SEO-focused summary covers what’s new, how to install the beta, and key features to try first.
The iOS 27 public beta is free through the Apple Beta Software Program and supports iPhone 11 and newer, including iPhone SE (2nd gen). Apple Intelligence features require iPhone 15 Pro or later. Siri AI is rebuilt around Apple's next-generation on-device model, enabling ongoing conversations, personal information search, on-screen understanding, and app actions. Siri responses appear in the Dynamic Island, and a new Siri app syncs history via iCloud. Other AI upgrades include Safari tab organization, Clean Up and Extend in Photos, and natural-language automation in Shortcuts.
Performance improvements are notable: apps launch up to 30% faster, AirDrop transfers up to 80% faster, and Photo captures appear up to 70% faster, with optimizations extending to iPhone 11. Screen Time gets a major overhaul with new dashboards, Time Allowances per category, and Communication Safety expanded to detect gore or violence. Liquid Glass design gains a customization slider under Settings > Appearance.
Additional features include independent alarm volume, extra-large widgets, AirPods custom equalizer, FaceTime dual-camera support on iPhone Air and iPhone 17, and more reliable HomeKit Secure Video. The public beta will continue evolving through summer, with final release expected this fall. Apple recommends installing on a secondary device and backing up first.
**Noctua NH-U14S DX4677 Review: Compatible Cooling for Intel Xeon 658X (250W) Workstations**
The Noctua NH-U14S DX4677, a well-regarded single-tower heatsink, proves compatible with the 250W Intel Xeon 658X processor on the ASUS Pro WS W890E SAGE SE motherboard, provided the correct LGA4710 carrier frame is used. This SEO-focused summary addresses search intent for workstation CPU cooling solutions, particularly for Sapphire Rapids/Emerald Rapids Xeon W processors.
The cooler, purchased on Amazon, arrives pre-assembled with two Noctua NF-A15 140mm PWM fans, though disassembly and reassembly are required for installation. The DX4677 variant features an enlarged contact plate designed for Intel Xeon 6 series and prior Sapphire Rapids/Emerald Rapids generations (excluding Xeon 6900E/P series). Noctua includes pre-applied thermal interface material, a Y-cable, and a mounting tool, adding convenience for server/workstation builders.
Key specifications: 250W TDP support, LGA4710 mounting, quiet operation with tall profile. The heatsink is ideal for enthusiasts upgrading Xeon W processors without needing a new cooler platform. Noctua’s brown box packaging and reliable build quality remain consistent. This quick look confirms the NH-U14S DX4677 as a viable, high-performance air-cooling option for demanding workstation CPUs like the Intel Xeon 658X.
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ASRock Rack 2UXGI-THOR: At Computex 2026, ASRock Rack unveiled the 2UXGI-THOR, a 2U short-depth AI edge server built around NVIDIA’s Thor SoC (IGX Thor platform) for industrial and medical markets, combining Arm-based processing with a Blackwell GPU and an RTX PRO video card to handle real-time sensor data at the edge. This unconventional server, displayed at the trade show, targets search intent for semiconductor, AI chip, and edge computing news by offering a niche alternative to standard x86 or Grace-based MGX servers.
The 2UXGI-THOR is based on NVIDIA’s IGX T7000 motherboard, which integrates a Thor module with 14 Arm Neoverse-V3AE CPU cores, an NVIDIA Blackwell integrated GPU, 128GB of LPDDR5X memory, and a ConnectX-7 NIC. ASRock Rack packs this into a 2U chassis with dual 800W redundant power supplies, an ASPEED AST2600 BMC for remote management, and a single FHFL PCIe slot for an NVIDIA RTX PRO 5000 or 6000 video card to provide the bulk of AI processing power. I/O includes dual 200GbE QSFP28 ports, a 1GbE RJ45 jack, and five 10Gbps USB ports (four USB-A, one USB-C). Storage is limited to a single M.2 2280 PCIe Gen5 x2 slot for an OS drive, emphasizing data processing over storage.
By placing an automotive/industrial SoC in a server, ASRock Rack delivers a unique edge AI solution for image ingestion and sensor processing in small server rooms, distinguishing itself from commodity data center hardware.
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