The first quarter of 2023 has played out in line with many analysts’ expectations so far, with weaker performances from suppliers who play a major role in the PC, server and general-purpose memory markets, as well as the automotive and industrial sectors. Companies with strong product lines in the field are doing well. Very few cases even outperform the expected guidance.
Most electronics companies are forecasting flat or modest earnings in the second quarter, with a long-awaited uptick coming in the second half of the year. Part of that is facilitated by improving the condition of PCs and servers. Longer term, however, the long-term health of many semiconductor and electronics companies may become more important to the hot topic of the moment: AI.
In particular, the rapid emergence of generative AI, many of which have been spearheaded by tools like ChatGPT, has prompted a series of moves by some of the big semiconductor companies.
strategic collaboration
Just last week, Intel announced a strategic partnership with Boston Consulting Group to deliver end-to-end generative AI solutions using Intel AI software and hardware for enterprise customers. Boston Computing Group leverages Intel’s AI supercomputers powered by Intel Xeon Scalable processors and AI-optimized Habana Gaudi hardware accelerators, and production-ready hybrid cloud scale software.
Earlier this year, Intel launched 4.th It offers 3rd generation Xeon Scalable processors along with Xeon CPU Max series and Intel Data Center GPU Max series for applications related to AI, cloud, network, edge and supercomputing. According to Intel 4th Gen Intel Xeon delivers 2.9x average performance-per-watt efficiency improvement for targeted workloads when using integrated accelerators and up to 70W power savings per CPU in optimized power mode , with minimal performance loss and 52%-66% lower power consumption.total cost of ownership
Intel rival AMD has established a presence in the high-end supercomputing market with products such as EPYC processors and AMD Instinct accelerators. However, AMD seems to be less aggressive in the AI market so far.
The company is also reportedly looking to expand its presence in the AI space by developing an AI-enabled chip codenamed “Athena.” However, neither company has confirmed the rumor.
play catch up
But with rival Nvidia currently dominating processors for the AI market and seemingly intent on not giving up any of its market-leading share, both Intel and AMD have a desperate job to do. Given.
During the GTC event in Marke, Nvidia made a number of AI-related announcements. The company launched Interference Platform for large-scale language model and generative AI workloads, designed for video, image generation, large-scale language model deployment, and graph recommendation models.
Nvidia also announced that its H100 Tensor Core GPUs for AI applications have been adopted by several AI companies, including OpenAI, creator of ChatGPT. In addition to that, Nvidia announced that the DGX H100 supercomputer based on the H100 GPU is now available to customers.
Spencer Chin is senior editor at Design News, which covers electronics beats. He has many years of experience covering component, semiconductor, subsystem and vidperspective development. You can contact him by: [email protected].
