Yesterday, Arm has announced significant progress in its Total Design initiative. The program, launched a year ago, aims to accelerate the development of custom silicon for data centers by fostering collaboration among industry partners. The ecosystem has now grown to include nearly 30 participating companies, with recent additions such as Alcor Micro, Egis, PUF Security, and SEMIFIVE. A notable development is a partnership between Arm, Samsung Foundry, ADTechnology, and Rebellions to create an AI CPU chiplet platform. This collaboration aims to deliver a solution for cloud, HPC, and AI/ML workloads, combining Rebellions' AI accelerator with ADTechnology's compute chiplet, implemented using Samsung Foundry's 2 nm Gate-All-Around (GAA) FET technology. The platform is expected to offer significant efficiency gains for generative AI workloads, with estimates suggesting a 2-3x improvement over the standard CPU design for LLMs like Llama3.1 with 405 billion parameters.

Arm's approach emphasizes the importance of CPU compute in supporting the complete AI stack, including data pre-processing, orchestration, and advanced techniques like Retrieval-augmented Generation (RAG). The company's Compute Subsystems (CSS) are designed to address these requirements, providing a foundation for partners to build diverse chiplet solutions. Several companies, including Alcor Micro and Alphawave, have already announced plans to develop CSS-powered chiplets for various AI and high-performance computing applications. The initiative also focuses on software readiness, ensuring that major frameworks and operating systems are compatible with Arm-based systems. Recent efforts include the introduction of Arm Kleidi technology, which optimizes CPU-based inference for open-source projects like PyTorch and Llama.cpp. Notably, as Google claims, most AI workloads are being inferenced on CPUs, so creating the most efficient and most performant CPUs for AI makes a lot of sense.

Today, Razer unveils the new DeathAdder V3 HyperSpeed, an ergonomic wireless esports mouse inspired by the iconic, award-winning DeathAdder V3 Pro. Loved by the esports community with over 20 million units sold worldwide, the DeathAdder line continues to evolve. In pursuit of creating an approachable pro-grade esports mouse for the community, factors like grip style, and mouse shape and size were crucial.

As a result, design angles and height tweaks were treated with extreme care, with testing, and validation to ensure the DeathAdder V3 HyperSpeed meets community and pro standards. This mouse delivers top-tier features in a more accessible format, perfect for gamers and aspiring champions seeking to elevate their gameplay with Razer's trusted performance and technology.

Minisforum has unveiled a game-changing device that blurs the lines between tablets and laptops: the Minisforum V3. Today, the V3 laptop has hit the Minisforum store. This innovative 3-in-1 tablet is powered by the high-performance AMD Ryzen 7 8840U processor, offering a unique blend of portability and computing power. Unlike its traditional Mini PC design, Minisforum has adopted the popular form factor of Microsoft Surface and Lenovo Yoga tablet PCs with the V3. This versatile device can be a handheld tablet, a laptop with an included magnetic attachable keyboard, or a solo kickstand. At the heart of the Minisforum V3 lies the 8-core, 16-thread Ryzen 7 8840U processor, capable of delivering exceptional performance for demanding tasks. The tablet features a stunning 14-inch 2560 x 1600 IPS screen with a 165 Hz refresh rate and 100% DCI-P3 color gamut coverage, making it an ideal choice for creative professionals and content creators.

The V3's standout feature is its advanced cooling system, which allows the Ryzen 7 8840U and onboard Radeon 780M iGPU to operate at a stable 28 watts. This ensures smooth and efficient performance even under heavy workloads, making it a reliable device for all your tasks. The tablet's screen boasts a remarkable 500 nits of brightness, and its high color gamut coverage makes it perfect for professionals who require accurate color representation. Minisforum has priced the V3 competitively at $1199 at the pre-sale offering, making it an attractive option for those seeking a powerful and versatile device that can adapt to various scenarios. This primary option includes 32 GB of RAM and 1 TB SSD for storage. For early birds, Minisforum offers a V Pen, tempered glass screen protector, and laptop sleeve as a gift. Here is the link to the Minisforum V3 store.

Cerebras Systems, the pioneer in accelerating generative AI, and G42, the Abu Dhabi-based leading technology holding group, today announced the build of Condor Galaxy 3 (CG-3), the third cluster of their constellation of AI supercomputers, the Condor Galaxy. Featuring 64 of Cerebras' newly announced CS-3 systems - all powered by the industry's fastest AI chip, the Wafer-Scale Engine 3 (WSE-3) - Condor Galaxy 3 will deliver 8 exaFLOPs of AI with 58 million AI-optimized cores. The Cerebras and G42 strategic partnership already delivered 8 exaFLOPs of AI supercomputing performance via Condor Galaxy 1 and Condor Galaxy 2, each amongst the largest AI supercomputers in the world. Located in Dallas, Texas, Condor Galaxy 3 brings the current total of the Condor Galaxy network to 16 exaFLOPs.

"With Condor Galaxy 3, we continue to achieve our joint vision of transforming the worldwide inventory of AI compute through the development of the world's largest and fastest AI supercomputers," said Kiril Evtimov, Group CTO of G42. "The existing Condor Galaxy network has trained some of the leading open-source models in the industry, with tens of thousands of downloads. By doubling the capacity to 16exaFLOPs, we look forward to seeing the next wave of innovation Condor Galaxy supercomputers can enable." At the heart of Condor Galaxy 3 are 64 Cerebras CS-3 Systems. Each CS-3 is powered by the new 4 trillion transistor, 900,000 AI core WSE-3. Manufactured at TSMC at the 5-nanometer node, the WSE-3 delivers twice the performance at the same power and for the same price as the previous generation part. Purpose built for training the industry's largest AI models, WSE-3 delivers an astounding 125 petaflops of peak AI performance per chip.

Last year, Arm introduced its Neoverse Compute Subsystem (CSS) for the N2 and V2 series of data center processors, providing a reference platform for the development of efficient Arm-based chips. Major cloud service providers like AWS with Graviton 4 and Trainuium 2, Microsoft with Cobalt 100 and Maia 100, and even NVIDIA with Grace CPU and Bluefield DPUs are already utilizing custom Arm server CPU and accelerator designs based on the CSS foundation in their data centers. The CSS allows hyperscalers to optimize Arm processor designs specifically for their workloads, focusing on efficiency rather than outright performance. Today, Arm has unveiled the next generation CSS N3 and V3 for even greater efficiency and AI inferencing capabilities. The N3 design provides up to 32 high-efficiency cores per die with improved branch prediction and larger caches to boost AI performance by 196%, while the V3 design scales up to 64 cores and is 50% faster overall than previous generations.

Both the N3 and V3 leverage advanced features like DDR5, PCIe 5.0, CXL 3.0, and chiplet architecture, continuing Arm's push to make chiplets the standard for data center and cloud architectures. The chiplet approach enables customers to connect their own accelerators and other chiplets to the Arm cores via UCIe interfaces, reducing costs and time-to-market. Looking ahead, Arm has a clear roadmap for its Neoverse platform. The upcoming CSS V4 "Adonis" and N4 "Dionysus" designs will build on the improvements in the N3 and V3, advancing Arm's goal of greater efficiency and performance using optimized chiplet architectures. As more major data center operators introduce custom Arm-based designs, the Neoverse CSS aims to provide a flexible, efficient foundation to power the next generation of cloud computing.