Dr. Larry Zu, Founder and CEO of Sarcina Technology, the Application Specific Advanced Packaging (ASAP) Design Service and Production leader, predicted that recent Bump Pitch Transformer (BPT) designs will speed 2.5D IC advanced packaging adoption to meet the red-hot demand for AI innovation. In remarks made in the Keysight Theater at the 61st Design Automation Conference, he envisioned new BPT technology paving the way for new artificial intelligence computing opportunities.

"We believe that the Bump Pitch Transformer architecture will accelerate the growth rate of 2.5D semiconductor packages that are key to meeting the explosive demand for AI-driven computing capabilities," Dr. Zu said during his address in the Keysight Theater.

A new startup emerged out of stealth mode today to power the next generation of generative AI. Etched is a company that makes an application-specific integrated circuit (ASIC) to process "Transformers." The transformer is an architecture for designing deep learning models developed by Google and is now the powerhouse behind models like OpenAI's GPT-4o in ChatGPT, Antrophic Claude, Google Gemini, and Meta's Llama family. Etched wanted to create an ASIC for processing only the transformer models, making a chip called Sohu. The claim is Sohu outperforms NVIDIA's latest and greatest by an entire order of magnitude. Where a server configuration with eight NVIDIA H100 GPU clusters pushes Llama-3 70B models at 25,000 tokens per second, and the latest eight B200 "Blackwell" GPU cluster pushes 43,000 tokens/s, the eight Sohu clusters manage to output 500,000 tokens per second.

Why is this important? Not only does the ASIC outperform Hopper by 20x and Blackwell by 10x, but it also serves so many tokens per second that it enables an entirely new fleet of AI applications requiring real-time output. The Sohu architecture is so efficient that 90% of the FLOPS can be used, while traditional GPUs boast a 30-40% FLOP utilization rate. This translates into inefficiency and waste of power, which Etched hopes to solve by building an accelerator dedicated to power transformers (the "T" in GPT) at massive scales. Given that the frontier model development costs more than one billion US dollars, and hardware costs are measured in tens of billions of US Dollars, having an accelerator dedicated to powering a specific application can help advance AI faster. AI researchers often say that "scale is all you need" (resembling the legendary "attention is all you need" paper), and Etched wants to build on that.

Google has announced that the company is officially merging its subsidiaries focused on artificial intelligence to form a single group. More specifically, Google Brain and DeepMind companies are now joining forces to become a single unit called Google DeepMind. As Google CEO Sundar Pichai notes: "This group, called Google DeepMind, will bring together two leading research groups in the AI field: the Brain team from Google Research, and DeepMind. Their collective accomplishments in AI over the last decade span AlphaGo, Transformers, word2vec, WaveNet, AlphaFold, sequence to sequence models, distillation, deep reinforcement learning, and distributed systems and software frameworks like TensorFlow and JAX for expressing, training and deploying large scale ML models."

As a CEO of this group, Demis Hassabis, a previous CEO of DeepMind, will work together with Jeff Dean, now promoted to Google's Chief Scientist, where he will report to the Sundar. In the spirit of a new role, Jeff Dean will work as a Chief Scientist at Google Research and Google DeepMind, where he will set the goal for AI research at both units. This corporate restructuring will help the two previously separate teams work together on a single plan and help advance AI capabilities faster. We are eager to see the upcoming developments these teams accomplish.

Nitro Concepts' first-ever line of Special Edition gaming chairs is here and they're more than meets the eye! Inspired by the heroic Autobots, villainous Decepticons, and the legendary Optimus Prime himself, these gaming chairs really have got the touch. Innovative Design with Intense Colors! The Nitro Concepts X1000 sets itself apart from its competitors through its vibrant colors and ergonomic design.

Featuring high quality PU leather ensures that whether the X1000 is used for work or play, the user will remain comfortable over hours of use. To make the X1000 even more comfortable, there are many options to adjust it to your preference. While the cold foam upholstery ensures the X1000 is comfortable even on hot summer days, the design features a fresh and angular shape, combining for a chair fit for any situation.