Nvidia is preparing for the post-GPU AI era as it is reportedly recruits ASIC engineers to fend off competition from Broadcom and Marvell
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Abstraction: Nvidia entering ASIC market to compete in shift from GPU training to inference chips
Key points:
- Nvidia established a new ASIC department and is recruiting engineers from companies like MediaTek, as reported by Taiwan's Commercial Times
- AI inference chip market projected to grow from $15.8B (2023) to $90.6B by 2030 (Verified Market Research)
- ASICs offer superior efficiency over GPUs for inference tasks; Nvidia's H-series GPUs dominate training but face displacement in inference
- Google's Trillium TPU (made GA December 2024) exemplifies hyperscaler custom ASIC strategy; Broadcom and Marvell have surged in valuation by serving cloud providers
- Nvidia CEO Jensen Huang confirmed 1,000 engineer recruitment in Taiwan in 2024 as part of broader expansion
Connections: Nvidia · Google · Broadcom · AI Hardware · Inference Optimization