Stability AI, a maker of various generative AI models and the company behind text-to-image Stable Diffusion models, has released its latest Stable Diffusion 3 (SD3) Medium AI model. Running on two billion dense parameters, the SD3 Medium is the company's most advanced text-to-image model to date. It boasts features like generating highly realistic and detailed images across a wide range of styles and compositions. It demonstrates capabilities in handling intricate prompts that involve spatial reasoning, actions, and diverse artistic directions. The model's innovative architecture, including the 16-channel variational autoencoder (VAE), allows it to overcome common challenges faced by other models, such as accurately rendering realistic human faces and hands.

Additionally, it achieves exceptional text quality, with precise letter formation, kerning, and spacing, thanks to the Diffusion Transformer architecture. Notably, the model is resource-efficient, capable of running smoothly on consumer-grade GPUs without compromising performance due to its low VRAM footprint. Furthermore, it exhibits impressive fine-tuning abilities, allowing it to absorb and replicate nuanced details from small datasets, making it highly customizable for specific use cases that users may have. Being an open-weight model, it is available for download on HuggingFace, and it has libraries optimized for both NVIDIA's TensorRT (all modern NVIDIA GPUs) and AMD Radeon/Instinct GPUs.

The full-stack NVIDIA accelerated computing platform has once again demonstrated exceptional performance in the latest MLPerf Training v4.0 benchmarks. NVIDIA more than tripled the performance on the large language model (LLM) benchmark, based on GPT-3 175B, compared to the record-setting NVIDIA submission made last year. Using an AI supercomputer featuring 11,616 NVIDIA H100 Tensor Core GPUs connected with NVIDIA Quantum-2 InfiniBand networking, NVIDIA achieved this remarkable feat through larger scale - more than triple that of the 3,584 H100 GPU submission a year ago - and extensive full-stack engineering.

Thanks to the scalability of the NVIDIA AI platform, Eos can now train massive AI models like GPT-3 175B even faster, and this great AI performance translates into significant business opportunities. For example, in NVIDIA's recent earnings call, we described how LLM service providers can turn a single dollar invested into seven dollars in just four years running the Llama 3 70B model on NVIDIA HGX H200 servers. This return assumes an LLM service provider serving Llama 3 70B at $0.60/M tokens, with an HGX H200 server throughput of 24,000 tokens/second.

Today, MLCommons published results of its industry AI performance benchmark, MLPerf Training v4.0. Intel's results demonstrate the choice that Intel Gaudi 2 AI accelerators give enterprises and customers. Community-based software simplifies generative AI (GenAI) development and industry-standard Ethernet networking enables flexible scaling of AI systems. For the first time on the MLPerf benchmark, Intel submitted results on a large Gaudi 2 system (1,024 Gaudi 2 accelerators) trained in Intel Tiber Developer Cloud to demonstrate Gaudi 2 performance and scalability and Intel's cloud capacity for training MLPerf's GPT-3 175B1 parameter benchmark model.

"The industry has a clear need: address the gaps in today's generative AI enterprise offerings with high-performance, high-efficiency compute options. The latest MLPerf results published by MLCommons illustrate the unique value Intel Gaudi brings to market as enterprises and customers seek more cost-efficient, scalable systems with standard networking and open software, making GenAI more accessible to more customers," said Zane Ball, Intel corporate vice president and general manager, DCAI Product Management.

The race is on for memory manufacturers to bring the next generation GDDR7 graphics memory into mass production. While rivals Samsung and Micron are aiming to have GDDR7 chips available in Q4 of 2024, South Korean semiconductor giant SK Hynix revealed at Computex 2024 that it won't kick off mass production until the first quarter of 2025. GDDR7 is the upcoming JEDEC standard for high-performance graphics memory, succeeding the current GDDR6 and GDDR6X specifications. The new tech promises significantly increased bandwidth and capacities to feed the appetites of next-wave GPUs and AI accelerators. At its Computex booth, SK Hynix showed off engineering samples of its forthcoming GDDR7 chips, with plans for both 16 Gb and 24 Gb densities.

The company is targeting blazing-fast 40 Gbps data transfer rates with its GDDR7 offerings, outpacing the 32 Gbps rates its competitors are starting with on 16 Gb parts. If realized, higher speeds could give SK Hynix an edge, at least initially. While trailing a quarter or two behind Micron and Samsung isn't ideal, SK Hynix claims having working samples now validates its design and allows partners to begin testing and qualification. Mass production timing for standardized memories also doesn't necessarily indicate a company is "late" - it simply means another vendor secured an earlier production window with a specific customer. The GDDR7 transition is critical for SK Hynix and others, given the insatiable demand for high-bandwidth memory to power AI, graphics, and other data-intensive workloads. Hitting its stated Q1 2025 mass production target could ensure SK Hynix doesn't fall too far behind in the high-stakes GDDR7 race, with faster and higher-density chips to potentially follow shortly after volume ramp.

The high purchase price of an electric vehicle (EV) remains one of the biggest barriers for potential buyers on a global scale. EVs are currently more expensive to build than traditional gasoline-powered cars, primarily because of the high costs associated with advanced battery and e-motor technology. The near-term solution is to enhance the efficiency of the existing battery technology through energy savings at the vehicle level, including improved integration with EV station infrastructure. This is exactly the challenge that Silicon Mobility, an Intel Company, has now solved with today's launch of the new OLEA U310 system-on-chip (SoC). This next-gen technology promises to significantly improve the overall performance of electric vehicles (EVs), streamline design and production processes, and expand SoC services to ensure seamless operation across various EV station platforms.

Representing a first for the industry, the new SoC is the only complete solution that combines hardware and software in one and is engineered to match the need for powertrain domain control in electrical architectures with distributed software. Built with a unique hybrid and heterogeneous architecture, a single OLEA 310 FPCU can replace as many as six standard microcontrollers in a system combination in which it controls an inverter, a motor, a gearbox, a DC-DC converter and an on-board-charger. Using the 310 FPCU, original equipment manufacturers (OEMs) and Tier 1 suppliers can control multiple and diverse power and energy functions simultaneously in real time.

NETGEAR, Inc., the leading provider of innovative and secure solutions for people to connect and manage their digital lives, today expanded its WiFi 7 mesh and standalone router lines with the new Orbi 770 Tri-band Mesh System and Nighthawk RS300 Router. NETGEAR's most affordable WiFi 7 products to date build on the company's promise to provide powerful WiFi performance and secure connectivity.

WiFi 7 Changes the Game
WiFi 7 unlocks 2.4 times faster speeds than WiFi 6, delivers low latency and better handles WiFi interference for families to seamlessly enjoy next gen 4K/8K streaming, video conferencing, gaming, and more. Since the launch of NETGEAR's first WiFi 7 offerings - Nighthawk RS700 and Orbi 970 - multi-gig internet speeds have become more affordable, work from home demands have remained steady, and more devices such as AR/VR headsets or AI-focused platforms like CoPilot+ have been introduced that require extreme low latency and higher throughput.

Jabra, a global leader in true wireless sound and hybrid work solutions, is unveiling the Elite 8 Active Gen 2 and Elite 10 Gen 2 earbuds. Building upon the same great design and success of their predecessors, these next-generation earbuds come with enhancements that strengthen the audio experience.

This includes the world's first LE Audio smart case, enhanced spatial sound powered by Dolby Audio for a better music experience, and enhanced Natural HearThrough for better awareness when outdoors. Jabra's Active Noise Cancellation (ANC) has also been made even stronger with improved mid- and low-frequency noise cancellation.

A curiously described graphics card was detected by Olrak29 as it was making it through international shipping. The shipment description for the card reads "GRAPHIC CARD NAVI48 G28201 DT XTX REVB-PRE-CORRELATION AO PLATSI TT(SAMSUNG)-Q2 2024-3A-102-G28201." This can be decoded as a graphics card with the board number "G28201," for the desktop platform. It features a maxed out version of the "Navi 48" silicon, and is based on the B revision of the PCB. It features Samsung-made memory chips, and is dated Q2-2024.

AMD is planning to retreat from the enthusiast segment of gaming graphics cards with the RDNA 4 generation. The company originally entered this segment with the RX 6800 series and RX 6900 series RDNA 2 generation, where it saw unexpected success with the crypto-mining market boom, besides being competitive with the RTX 3080 and RTX 3090. This bust by the time RDNA 3 and the RX 7900 series arrived, and the chip wasn't competitive with NVIDIA's top-end. Around this time, the AI acceleration boom squeezed foundry allocation of all major chipmakers, including AMD, making large chips based on the latest process nodes even less viable for a market such as enthusiast graphics—the company would rather make CDNA AI accelerators with its allocation. Given all this, the company's fastest GPUs from the RDNA 4 generation could be the ones that succeed the current RX 7800 XT and RX 7700 XT, so AMD could capture a slice of the performance segment.

Fueling the next wave of AI innovation, Western Digital today introduced a six-stage AI Data Cycle framework that defines the optimal storage mix for AI workloads at scale. This framework will help customers plan and develop advanced storage infrastructures to maximize their AI investments, improve efficiency, and reduce the total cost of ownership (TCO) of their AI workflows. AI models operate in a continuous loop of data consumption and generation - processing text, images, audio and video among other data types while simultaneously producing new unique data. As AI technologies become more advanced, data storage systems must deliver the capacity and performance to support the computational loads and speeds required for large, sophisticated models while managing immense volumes of data. Western Digital has strategically aligned its Flash and HDD product and technology roadmaps to the storage requirements of each critical stage of the cycle, and today introduced a new industry-leading, high-performance PCIe Gen 5 SSD to support AI training and inference; a high-capacity 64 TB SSD for fast AI data lakes; and the world's highest capacity ePMR, UltraSMR 32 TB HDD for cost-effective storage at scale.

"There's no doubt that Generative AI is the next transformational technology, and storage is a critical enabler. The implications for storage are expected to be significant as the role of storage, and access to data, influences the speed, efficiency and accuracy of AI Models, especially as larger and higher-quality data sets become more prevalent," said Ed Burns, Research Director at IDC. "As a leader in Flash and HDD, Western Digital has an opportunity to benefit in this growing AI landscape with its strong market position and broad portfolio, which meets a variety of needs within the different AI data cycle stages."

At Computex 2024, Colorful has followed the success of their popular COLORFIRE MEOW Series gaming desktops. The company has unleashed two fierce new gaming laptops - the COLORFIRE MEOW R15 and R16. These portable laptops are adorned with designs inspired by Bobi, COLORFIRE's beloved office cat. From paw print patterns to a sleek orange tabby color scheme, the laptops are littered with feline flair. Under the cat-inspired hood, the MEOW laptops pack a serious punch. They are equipped with the latest AMD Ryzen 8000 Series processors tailored for gaming, content creation, and entertainment. AMD Ryzen AI technology provides a boost to artificial intelligence capabilities. Both run on the AMD Ryzen 7 8845HS processor with eight cores, 16 threads, and a 5.1 GHz maximum boost clock. The Ryzen AI engine delivers up to 39 TOPS for accelerated AI performance. For graphics, the laptops feature up to an NVIDIA GeForce RTX 4070 GPU with 140 W of power.

The R15 has a 15.6-inch 2560x1440 IPS panel with 100% sRGB color and 165 Hz refresh rate. The R16 goes even bigger with a 16-inch 2560x1600 IPS display, 100% sRGB, and 240 Hz refresh. AMD FreeSync is there as well to ensure a tear-free experience. Colorful has outfitted the laptops with dual turbo fans, a 6-heatpipe solution, and performance control software to tame the heat from the powerful components. When it's time to pounce on the latest games, these MEOW laptops have the fierce cooling to keep their claws out.

The subsidiary of MiTAC Holdings Corp, MiTAC Computing Technology and its server brand TYAN, the leading manufacturer in server platform design worldwide, unveil their new server systems and motherboards optimized for today's AI, HPC, cloud, and enterprise workloads at COMPUTEX 2024, Booth # M1120 in Taipei, Taiwan from June 4 to June 7. Harnessing the power of the latest Intel Xeon 6 processor and 4th and 5th Gen Intel Xeon Scalable processors, these solutions deliver cutting-edge performance.

"For over a decade, MiTAC has worked with Intel at the forefront of server technology innovation, consistently delivering cutting-edge solutions tailored for AI and high-performance computing (HPC). The integration of Intel's latest Xeon 6 processors into our MiTAC and TYAN server platforms transforms computational capabilities, significantly enhancing AI performance, boosting efficiency, and scaling cloud operations. These advancements empower our customers with a competitive edge through superior performance and optimized total cost of ownership," said Rick Hwang, President of MiTAC Computing Technology Corporation.

MSI, a leading brand in gaming, content creation, and business & productivity laptops, proudly announces the launch of several next-gen AI+ gaming and business productivity laptops featuring the latest Intel and AMD processors at COMPUTEX 2024. These laptops offer more than 100 TOPS of AI computing power and support more than 500 AI models run optimized on Intel Core Ultra processors, making it the most robust platform for AI PC development, with more AI models, frameworks, and runtimes enabled than any other processor vendor. When equipped with a GeForce RTX Laptop GPU, they offer up to 542 TOPS, delivering peak performance and enabling unique AI experiences.

Additionally, MSI unveiled the new Claw 8 AI+ Windows 11 gaming handheld device, powered by Intel Core Ultra processors (codenamed "Lunar Lake") and an 8-inch screen, providing a smoother and broader mobile gaming experience.

ASUS today announced the innovative concepts and upcoming designs that it will be demonstrating at its Computex 2024 booths, including AI PCs, prototype AMD and Intel motherboards, as well as fresh CPU coolers.

AI PC-ready hardware
With all the groundbreaking AI-powered apps and features available today, and many more on the horizon, PC enthusiasts the world over are searching for hardware that will let them run AI tools on their own AI PC in addition to using cloud-based subscriptions. At Computex 2024, ASUS is showing off the PC hardware that builders can leverage to explore the future of this revolution. An AI PC is an entire platform ready to unlock advanced AI features—in turn, revolutionizing the way that people build, customize, and use such a device.

Silverstone in its 2024 Computex booth showcased the brand's pivot toward premium cases meant for workstations and servers used in the development or acceleration of AI applications. These cases span across industry-standard rackmount form-factors, as well as full-towers, so SMBs and startups could have on-floor AI acceleration machines set up. For AI on the edge, Silverstone showcased the GM1000 2U Gold, a 1000 W redundant PSU, the XE02-4677, a 2U cooling solution for Socket LGA4677, and the RM22-312 2U chassis.

For the general purpose server and SMB AI acceleration markets, the company showcased its RM44 4U case that can be used both as a tower and in a rack, The XE360-4677, which is a 360 mm x 120 mm AIO liquid CPU cooler for LGA4677, and the Gemini 900A Gold, an 80 Plus Gold rated 900 W redundant power supply. AI development systems see the lion's share of Silverstone's signature aesthetics and innovations, as these cases blur the lines between high-end desktops and workstations. The Alta D1 is an ATX full-tower, which can hold an SSI-EEB motherboard with up to 11 expansion slots for multiple GPUs, provision for either redundant PSUs or 5.25-inch cages that can be used as mounts for multiple SSDs; and provision for a couple of large radiators, to cool the CPU.

MediaTek announced today at COMPUTEX 2024 that the company has joined Arm Total Design, a fast-growing ecosystem that aims to accelerate and simplify the development of products based on Arm Neoverse Compute Subsystems (CSS). Arm Neoverse CSS is designed to meet the performance and efficiency needs of AI applications in the data center, infrastructure systems, telecommunications, and beyond.

"Together with Arm, we're enabling our customers' designs to meet the most challenging workloads for AI applications, maximizing performance per watt," said Vince Hu, Corporate Vice President at MediaTek. "We will be working closely with Arm as we expand our footprint into data centers, utilizing our expertise in hybrid computing, AI, SerDes and chiplets, and advance packaging technologies to accelerate AI innovation from the edge to the cloud."

MiTAC Computing Technology and its server brand TYAN, the leading manufacturer in server platform design worldwide, unveil their new server systems and motherboards optimized for today's AI, HPC, cloud, and enterprise workloads at COMPUTEX 2024, Booth # M1120 in Taipei, Taiwan from June 4 to June 7. Harnessing the power of the latest Intel Xeon 6 processor and 4th and 5th Gen Intel Xeon Scalable processors, these solutions deliver cutting-edge performance.

"For over a decade, MiTAC has worked with Intel at the forefront of server technology innovation, consistently delivering cutting-edge solutions tailored for AI and high-performance computing (HPC). The integration of Intel's latest Xeon 6 processors into our MiTAC and TYAN server platforms transforms computational capabilities, significantly enhancing AI performance, boosting efficiency, and scaling cloud operations. These advancements empower our customers with a competitive edge through superior performance and optimized total cost of ownership." said Rick Hwang, President of MiTAC Computing Technology Corporation.

As industry leaders and innovators gather at Computex 2024, ASUS is excited to unveil its latest computing technologies for work. This year's highlight is the debut of the all-new ASUS Expert P series, specifically designed for entrepreneurs, prosumers and home offices, marking a significant expansion in ASUS offerings for business. Leading this series is the flagship model ExpertBook P5 (P5405), the first ASUS next-era AI PC designed for work. It exemplifies the fusion of cutting-edge technology with practical functionality.

Powered by Intel Core Ultra processors (code-named 'Lunar Lake'), ExpertBook P5 embodies a new way of working. It introduces pioneering ASUS AI PC technology, boasting more than 45 TOPS NPU, delivering over 100 platform TOPS and approximately triple the AI performance of the first-generation Intel Core Ultra processor, ensuring quieter and cooler operations ideal for the dynamic environments of today's mobile professionals.

ASUS Republic of Gamers (ROG) today announced the ROG Rapture GT-BE19000 tri-band WiFi 7 gaming router at Computex 2024. This next-generation powerhouse is designed to dominate gaming and computing experiences with ultra-fast tri-band WiFi 7 speeds of up to 19 Gbps, innovative features like Automatic Frequency Coordination, and comprehensive wired and wireless network functions.

Next-gen WiFi power
The ASUS ROG Rapture GT-BE19000 router boasts ultra-fast wireless speeds of up to 19 Gbps, thanks to innovative WiFi 7 features like 320 MHz channels, 4096-QAM, and Multi-Link Operation. It is the world's first gaming router with Automatic Frequency Coordination. AFC automatically checks the WiFi environment and chooses the least congested channel in the 6 GHz band, boosting peak transmit power by up to 63 times higher than Low Power Indoor networking devices. The GT-BE19000 also provides up to 31 Gbps of wired capacity, including dual 10 Gb Ethernet and quad 2.5 Gb Ethernet ports, ensuring strong, stable connections for building a robust local network in the new era of AI.

In Win Development Inc. (InWin), a leading innovator in PC hardware is also a service provider for server and workstation system assembling. A wide range of exciting new products are launching for enthusiasts and PC builders. The InWin booth will demonstrate its AI hardware ecosystem at COMPUTEX 2024.

11th Generation InWin Signature Chassis
This year, InWin will launch its 11th generation signature PC chassis, "Infinite", taking a standard case and elevating it into an artistic, technical marvel! The main body features a mechanized aluminium structure, featuring the largest 180-degree curved glass available on a PC today. Seeing is believing, so witness at the InWin booth!

AAEON, a leading designer and manufacturer of AI Edge solutions, has today confirmed that its Fanless Embedded AI System, the BOXER-8640AI, will support the newly released NVIDIA Jetpack 6.0 software development kit.

The NVIDIA Jetpack 6.0 SDK is equipped with a range of new features conducive to accelerating AI application development, such as Jetson Platform Services, a modular, API-driven suite of pre-built and cloud-native software services.

AMD on Monday launched its Ryzen AI 300 line of mobile processors based on the 4 nm "Strix Point" monolithic silicon. This chip was described by AMD as having a maximum CPU core configuration of 12-core/24-thread, which would be a neat 50% increase in core-counts over the previous generation; but there's more to it. Although "Strix Point" implements "Zen 5," not all 12 CPU cores on the silicon are the regular variant of "Zen 5." The chip physically has four "Zen 5" cores, and eight "Zen 5c" compact cores. Nemez (GPUsAreMagic) attempted to annotate the "Strix Point" die based a high-resolution photo by System360Cheese from AMD's Computex keynote; and there are some interesting findings.

The annotation reveals that the four regular "Zen 5" cores, each with a 1 MB dedicated L2 cache, share a 16 MB L3 cache. The eight "Zen 5c" cores, on the other hand, appear to share a smaller 8 MB L3 cache, in what could be a separate CCX. They each have a 1 MB L2 cache, too. The "Zen 5c" cores have the same IPC as the "Zen 5" cores when measured with common INT and FP benchmarks that don't move a lot of data; however, it could lag behind in workloads with a lot of streaming data. What's more, the previous generation "Zen 4c" cores were traditionally limited to lower frequencies than regular "Zen 4" cores, as the physically compacted cores couldn't hold onto higher core voltages. If that's the case with "Zen 5c," then what we're really looking at with "Strix Point" is an interesting hybrid core setup with eight high-IPC efficiency cores.

As a global leader in NAND controllers and NAND storage solutions, Phison showcases a range of innovative storage products and AI solutions during Computex (June 4-7, 2024). The rising demand for generative AI applications aligns with Phison's growth in AI solutions under the aiDAPTIV+ and new Pro Suite products that address market trends and bring new technological experiences to the industry.

This year Computex 2024 is focusing on AI Computing, Advanced Connectivity, Future Mobility, Immersive Reality, Sustainability, and Innovations.

ASUS Republic of Gamers (ROG) today announced the latest version of its critically acclaimed Zephyrus G16 gaming laptop, now featuring an AMD Ryzen AI 9 HX 370 processor. With a built-in NPU for AI-accelerated tasks and a dedicated NVIDIA GPU, the latest Zephyrus G16 stands ready for any scenario, from gaming to productivity and more—all in an ultra-sleek thin-and-light package.

Zephyrus enters the era of AI computing
We're entering a new era of computing, with artificial intelligence at its center—and ROG is charging ahead with the new Zephyrus G16, now a true AI PC thanks to its AMD Ryzen AI 9 HX 370 processor. With 12 cores, 24 threads, a built-in AMD Ryzen AI XDNA 2 NPU capable of 50 TOPS of AI performance, along with 31 TOPS from the CPU and its integrated Radeon 890M graphics, the new Zephyrus G16 stands ready for enhancing productivity in AI-enabled applications, including powerful Windows Copilot tools.

At Computex 2024, ASUS unveiled major updates to its popular laptop lineups, designed for the "Copilot+" era of AI computing. The first is the Zenbook S16 is a premium 16-inch laptop series powered by AMD's latest Ryzen AI 9 HX 370 processors with dedicated AI acceleration. Remarkably, ASUS has managed to pack this high-performance silicon into an ultra-portable 1.1 cm thin chassis weighing just 1.5 kg. The Zenbook S16 integrates AMD's new NPU capable of a 50 TOPS of AI compute for accelerating AI/ML workloads. The centerpiece is the laptop's stunning 16-inch 3K OLED display made with ASUS Lumina technology. It offers 100% vibrant DCI-P3 color gamut coverage, a blazing-fast 120 Hz refresh rate with 0.2 ms response time, and up to 600 nits brightness. ASUS paired this premium visual experience with a six-speaker audio system for an immersive multimedia experience.

GIGABYTE at the 2024 Computex announced the AI TOP ecosystem, a collection of first-party software services and hardware for consumer AI applications. On the software side of things, GIGABYTE announced sets of generative AI tools, and an AI chat assistant. The AI Top Utility is a local AI training utility that supports a wide range of generative AI models, while giving you a bird's eye view of the AI models being trained, and lets you control the system resources being allocated to them. It also provides real-time hardware monitoring of the whole DNN building and training operation.

The GIGABYTE AI TOP Tutor is an AI assistant trained by the company to provide real-time assistance on your hardware and software. New to configuring your hardware or fine-tuning the various software settings, ask the AI TOP Tutor in plain language, and it will assist you. The third piece of the AI puzzle for GIGABYTE is the AI TOP Hardware. This is a collection of PC hardware spanning motherboards, graphics cards, power supplies, chassis, and SSDs, which are certified by GIGABYTE to take on the rigors of AI acceleration.