The Road to Innovation with Synopsys 224G PHY IP From Silicon to Scale: Synopsys 224G PHY Enables Next Gen Scaling Networks

By Mike Gianfagna

May 19, 2025

The explosive growth of large language models (LLMs) has created substantial new requirements for chip-to-chip interconnects. These very large models are trained in high-performance data centers. Multiple accelerators need to work seamlessly to make all this possible as the bandwidth between accelerators directly impacts the size of trainable LLMs. It is accurate to say that this new era of AI is driven by new levels of bandwidth and low latency.  A critical enabler for all this is 224G PHY technology. But working IP isn’t enough. The IP needs to be interoperable with other parts of the system. Synopsys has held a strong position here, both in terms of high-quality IP and proven interoperability.  Let’s take a closer look at the road to innovation with Synopsys 224G PHY IP.

Key Takeaways

• The growth of large language models (LLMs) requires enhanced chip-to-chip interconnects for effective operation.
• 224G PHY technology is critical for enabling innovation in high-performance data centers.
• Synopsys has established a strong reputation for high-quality IP and interoperability, demonstrated through successful designs.

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