$2,500
AI Processors Market Development – a report on the AI processors market segment
Jon Peddie Research’s AI Processor Market Development report is a supply-side report series that establishes the AI Processing market size by shipments, value, segment type, installed base, and investment from the current quarter back to Q1’14 for a historical perspective.
The report provides a database of all suppliers of AI Processor chips.
Description
The report is an indicator of how the AI Processor market is and will behave. With 115 suppliers vying for market share and one dominant supplier holding 95% of the current market, combined with $13.5 billion having been invested by venture capitalists and other firms to unseat the incumbent, the market promises to be very exciting to say the least.
The report contains the following content:
- A comprehensive list of 115 AI processor suppliers
- Analysis of the shifting U.S.–China competitive landscape
- Profiles and interviews with notable startups and established players
- Trends in VC investment and market maturity
The AI Processors Market Development report is a valuable resource for understanding the AI processor market, providing insight into the capabilities of AI processors in use today and coming in the near future.
AI Processors Market Development Table of Contents
- Introduction
- Q2’25
- Imagination unveils GPU for edge AI and graphics
- Tenstorrent gets large new round of funding
- New Xeon 6 boosts AI workloads
- Tenstorrent, Jim Keller, and the road to AI-ready silicon
- Big week for U.S. chips as export rules get rolled back
- Flow Computing shows parallel processing compiler
- India planning a GPU
- Indigenous GPU development program
- Intel first company to attain NPU support in MLPerf Client v0.6 benchmark
- About NPU benchmarking on MLPerf:
- We don’t need your stinkin chips
- Innatera’s Pulsar neuromorphic microcontroller for sensor edge
- Nvidia will talk to almost anyone
- AMD and Nvidia AI GPUs comparison
- Important caveats:
- Key takeaways & key differences:
- Which is “better”?
- Key takeaway
- Could an RTX 5060 or 5090 be used in the data center?
- HBM competitor from Intel JV?
- Advancing AI at AMD
- AMD’s Series 350 GPUs
- VeriSilicon’s AI GPU IP for automotive and edge
- Could/should watermarking become part of neural net processors?
- Appendix
- Matrix math, the heart of AI
- Ancient origins (2nd century BCE – 3rd century CE)
- 17th–18th century Europe
- 19th century: Matrix theory formalized
- US-Gulf AI partnerships transform technology landscape
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