…GPUs such as NVIDIA’s H100 are at the reticle limits, meaning the design consumes the largest fabricable die size, even in an advanced process, making adding more functionality on one chip…
…This dataflow approach moves tensors efficiently through on-chip memory, completely sidestepping the DRAM bottlenecks that limit sustained throughput on conventional hardware. By utilizing GDDR6 and on-chip SRAM, QuietBox 2 entirely…
…Letting a Single Chip Run 300B+ Parameter LLMs Locally The PCB is cooled by the next-generation DirectCU H2O cooling technology which comes with a massive baseplate designed to offer 40% more…
…from cloud costs with on-device generative AI like LLMs and diffusion models, powered by AMD Ryzen Threadripper processors. Whether you're designing a product or developing AI, Threadripper processors deliver the…
…unmatched technology in SerDes, silicon design, process technology, advanced packaging and networking to enable each of these customers to achieve optimal performance for their differentiated LLM workloads. We have the track record…
…M.2 SSDs while maintaining full GPU performance AI Cache Boost speeds up LLM tasks; ASUS AI Advisor answers tech questions; AI Overclocking, AI Cooling II, and AI Networking II optimize system…
…With over 580 million large-screen devices, and users on multiple devices spending up to 14x more on apps, the investment in adaptive design presents a massive opportunity. Jetpack Compose is the…
…Su was adamant that it would instead complement GPUs, saying it was "largely additive." For context, Agentic AI involves several autonomous agents within an LLM that complete set tasks without any need…
…The discussion highlighted how AI is transforming chip design decision-making through advanced reasoning models that optimize design trade-offs and system performance. Panelists also examined strategies to reduce AI model training…
