The 2Q numbers from custom silicon shops show us that AI ASIC business is good, Google Cloud TPUs are outperforming, and two more hyperscale AI ASICs are in the works—one from Amazon Web Services and one mystery project.
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Interprets the AI Processors for Cloud & Data Center Forecast 2023, explaining methodology and market trends. Covers the future of AI GPUs, ASSPs, ASICs, in-CPU accelerators, and FPGAs, and companies such as NVIDIA, Intel, AMD, and Google.
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Forecasts for AI accelerators in the data center (2022–28). Covers GPUs, AI ASSPs, AI ASICs, and FPGAs by workload category, use case, industry, training/inference, power consumption, and performance. Includes a user-defined pivot table. This forecast has been extensively updated in the light of developments in this market during 2023, such as NVIDIA’s 2Q results and the LLM boom. Assumptions around average selling prices have also been changed to reflect new information.
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The Analyst Team

Alexander Harrowell
Follow AnalystPrincipal Analyst, Advanced Computing for AI
Alexander covers the market for semiconductors as it relates to AI and machine learning. This includes GPUs, dedicated AI ASICs and ASSPs, FPGAs, and future technologies, as well as companies such as Arm, NVIDIA, Cerebras Systems, Hailo, and Ambarella. He can help you with market forecasting, technology strategy, and positioning.
Starting as a journalist at Mobile Communications International magazine, Alexander has 17 years’ experience. Since joining Omdia in 2016, Alexander has covered technologies for small and medium enterprises, with a focus on mobile and, more recently, 5G for enterprises. He developed the Omdia Enterprise 5G Innovations Tracker to monitor the emerging enterprise 5G and CBRS ecosystem. He was the second employee of start-up consulting firm STL Partners, where he worked on mobile, open source, distributed computing, and the two-sided business model.
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