Microcontrollers from STMicroelectronics feature prominently in MLPerf Tiny v1.1 results, and Plumerai’s inference engine demonstrates how it speeds up model execution.
Meta has developed an AI accelerator chip called MTIA, following in the footsteps of Google and Amazon. Employing RISC V CPUs and fixed-function units, the chip offered 102 INT8 TOPS at 25 W TDP.
Lightelligence’s ONoc interposer connects chiplets optically through silicon waveguides on a monolithic multireticle substrate. The company launched a machine-learning application as a demonstrator.
South Korean AI startup Rebellions has launched Atom, an AI-accelerator card targeting the high-frequency trading market. The company has raised over $100 million and has released ResNet-50 MLPerf benchmark performance data.
Imagination Technologies’ new licensable CXM GPU family brings high-dynamic-range (HDR) support to its mainstream offering. With three new models, the company claims high area efficiency.
The company has streamlined its data-center AI roadmap, creating a new version of Falcon Shores that combines the Xe GPU architecture with some aspects of Habana’s AI design, which is delayed to 2025.
Moffett, a startup headquartered in Shenzen, China, has released AI accelerators that address sparsity to increase performance 32x. The company offers three cards spanning a 70–250 W TDP range.
Nanosheet transistors are superior to FinFETs for logic transistors, offering an adjustable gate width, superior electrostatic characteristics, and better channel-thickness uniformity as well as faster switching speed. They have drawbacks for SRAM and I/O transistors, however.
Qualcomm announced a Snapdragon 7+ Gen 2 that reuses the premium Snapdragon 8+ Gen 1 die with altered specs. Market conditions left the company with excess inventory that it’s moving into the midpremium market.