As next-generation imaging devices continue to evolve, Team Group Inc., a global leader in memory and storage solutions, today introduces the Team Group ACE 8K MicroSDXC Memory Card. The ACE 8K is designed for a wide range of handheld imaging devices, including Insta360 and DJI cameras, as well as drones. The memory card supports smooth 4K 120 FPS video recording, making it an excellent choice for 360° panoramas, sports footage, and handheld content creation. With a focus on high-speed data transfer and consistent recording performance, the ACE 8K allows creators to capture every brilliant moment while providing a reliable, high-performance storage solution for on-the-go content creation.

The ACE 8K supports A2 Application Performance Class and U3/V30 specifications, delivering read speeds of up to 160 MB/s and write speeds of up to 110 MB/s when used with a professional card reader. This product is available in storage capacities of up to 1 TB, providing ample storage for high-resolution video, extended continuous shooting, and large volumes of content across a variety of application scenarios. Whether capturing everyday moments, dynamic outdoor footage, or professional 360° imagery, the ACE 8K delivers the precision and capacity creators need to capture all the thrilling moments.

Siemens today announced an expansion of its strategic partnership with NVIDIA to deliver self-verifying agentic AI workflows to EDA, helping semiconductor and printed circuit board (PCB) engineering teams move from autonomous task orchestration toward more trusted, continuously validated engineering outcomes. The new capabilities build on Siemens' recently introduced Fuse EDA AI Agent system and add new NVIDIA AI technology to help long-running, domain scoped, AI agents reason, act and continuously validate decisions against deterministic, physics-based EDA engines.

The updates to Siemens' Fuse EDA AI Agent are designed to help the semiconductor and PCB industry move beyond simple automation and deliver trusted and verifiable outcomes that improve result quality, time-to-results, tool-calling reliability and token efficiency across long-running engineering workloads. The Fuse EDA AI Agent system is now integrated into Siemens' recently launched Intelligence Center X, supporting agent creation and orchestration in Siemens' enterprise industrial AI environment. Intelligence Center X delivers AI-driven, coordinated processes across design, manufacturing and supply chain - enhancing the comprehensive Digital Twin to support smarter execution and more trusted outcomes.

There has been a lot of talk in recent months about AI-powered teammates in video games of late, with everyone from NVIDIA to Ubisoft and Take-Two expressing interest in the feature. That same Ace AI tech that NVIDIA demonstrated over a year ago has now made its way into PUBG: Battlegrounds as a time-limited game mode called Ally Duo. Announced for the PUBG: Battlegrounds update 42.1, PUBG will be introducing the new Ally Duo game mode, which will pair players with an AI-powered companion in a new arcade mode in the Sanhok jungle map.

In a demo shown off previously by NVIDIA, Ella, the player's AI companion powered by NVIDIA Ace, responds to spoken instructions with natural language, guides players with in-game info and advice, and can be controlled by the player with those same spoken instructions—for instance, helping players look for resources and vehicles, delivering those vehicles, spotting and engaging enemies, and helping set up strategic attacks. Ella and the Ally Duo game mode are currently in beta and will only be available in PUBG: Battlegrounds from June 17 to July 1. The new mode strictly requires an NVIDIA RTX GPU for AI processing, with the RTX 2080 Ti and RTX 3060 8 GB cards and 16 GB of system memory being the minimum spec, while the RTX 4070 paired with 24 GB of system RAM is recommended. Players must also enable hardware-accelerated GPU scheduling if not enabled already. The NVIDIA Ace AI PUBG demo follows.

Late last year, Intel and AMD founded x86 ecosystem advisory group (EAG) to keep the x86 ISA growing and thriving in the era where Arm and RISC-V are expanding their presence. A year later, the hard work of Intel and AMD engineers is coming to a fruition. According to new blog posts by both x86 ecosystem advisory group founders, new instructions are being added as of now to harder the security layer and increase the vector and matrix performance. First in line is the new FRED (Flexible Return and Event Delivery) instruction, designed as a new modernized and standardized interrupt model to reduce latency in software and improve reliability in software. In addition to FRED, instructions such as AVX10 and ACE (Advanced Matrix Extensions for Matrix Multiplication) are now standardized and implemented across the stack, meaning that we now have a standardized way to accelerate matrix multiplication, as well as 512-bit vector extensions.

Perhaps the most interesting and the most important part of this update is the ChkTag for x86 memory safety. ChkTag is a new x86 memory-tagging instruction set that helps catch common memory-safety bugs such as buffer overflows and use-after-free by attaching small tags to memory and checking them in hardware. It gives developers and compilers fine-grained control over which accesses are checked, so tools can enable protections where they matter most without the heavy overhead of software-only approaches. That makes it practical for hardening applications, kernels, hypervisors and even firmware, while ChkTag-enabled binaries can still run on older processors that lack the hardware features, which eases deployment. The designers intend ChkTag to complement existing defenses like shadow stacks and confidential computing, and the full specification is expected later this year.

More than 700 games and applications feature RTX technologies, and each week new games integrating NVIDIA DLSS, NVIDIA Reflex, and advanced ray-traced effects are released or announced, delivering the definitive PC experience for GeForce RTX players. DLSS 4 with Multi Frame Generation, our GeForce RTX 50 Series performance multiplier, is now available in over 125 games and apps. Today, at Computex 2025, we revealed that another 10 games are launching with day-one support, 7 of which will be released this month. In each, DLSS Frame Generation and DLSS Super Resolution are also available, ensuring every GeForce RTX gamer can accelerate frame rates and receive the best possible experience.

Additionally, we're announcing that the critically acclaimed DOOM: The Dark Ages is adding immersive path-traced effects and DLSS Ray Reconstruction in June, further enhancing image quality for PC gamers. And NARAKA: BLADEPOINT, one of the top 10 most played Steam games each and every week, is doing the same on May 22nd. So keep on reading to learn about the DLSS and RTX technologies coming to DOOM: The Dark Ages, F1 25, FBC: Firebreak, inZOI, LIGHT OF MOTIRAM, MindsEye, NARAKA: BLADEPOINT, Portal with RTX, RoadCraft, Splitgate 2, WUCHANG: Fallen Feathers, and creator apps Chaos Enscape and Autodesk VRED.

NVIDIA ACE is a suite of RTX-accelerated digital human technologies that bring game characters to life with generative AI. Earlier this year, we unveiled AI-powered NVIDIA ACE Autonomous Game Characters, adding autonomous teammates, NPCs, and enemies to games, unlocking a whole new set of gameplay possibilities. These ACE autonomous game characters make their debut later this month in two titles. In the life simulator inZOI, players can customize "Smart Zoi" NPCs with life goals that in turn use AI to guide behavior and interactions with other NPCs.

In NARAKA: BLADEPOINT MOBILE PC VERSION, NVIDIA ACE-powered teammates help players battle enemies, hunt for loot, and fight for victory. Additionally, NVIDIA ACE technologies continue to advance, incorporating new vision and audio language models, enhancing facial animation with new model architectures, and accelerating game development with updated ACE plugins for Maya and Unreal Engine for offline authoring.

The term 'AI' has been used in games for decades. These non-playable characters (NPCs) traditionally follow strict rules designed to mimic intelligence, adhere to a guided story, and provide a scripted interaction with the player. However, with the rise of intelligent language models, game AI is primed for a truly intelligent overhaul. At CES 2025, NVIDIA is redefining game AI with the introduction of NVIDIA ACE autonomous game characters. First introduced in 2023, NVIDIA ACE is a suite of RTX-accelerated digital human technologies that bring game characters to life with generative AI. NVIDIA is now expanding ACE from conversational NPCs to autonomous game characters that use AI to perceive, plan, and act like human players. Powered by generative AI, ACE will enable living, dynamic game worlds with companions that comprehend and support player goals, and enemies that adapt dynamically to player tactics.

Enabling these autonomous characters are new ACE small language models (SLMs), capable of planning at human-like frequencies required for realistic decision making, and multi-modal SLMs for vision and audio that allow AI characters to hear audio cues and perceive their environment. NVIDIA is partnering with leading game developers to incorporate ACE autonomous game characters into their titles. Interact with human-like AI players and companions in PUBG: BATTLEGROUNDS, inZOI, and NARAKA: BLADEPOINT MOBILE PC VERSION. Fight against ever-learning AI-powered bosses that adapt to your playstyle in MIR5. And experience new gameplay mechanics made possible with AI-powered NPCs in AI People, Dead Meat, and ZooPunk.