AMD to Leverage Samsung’s 4nm and TSMC’s 3nm Process Nodes for Next-Gen Chips

As the race for faster and more efficient processors continues, AMD has emerged as a key player with its Zen architecture. In a bid to further enhance its chip technology, the company is reportedly tapping into Samsung’s 4nm and TSMC’s 3nm process nodes for its upcoming generation of chips. In this article, we delve into the details surrounding this development and explore the motivations behind AMD’s decision.

Engineer Reveals the Range of Process Nodes

A data leak reveals that AMD’s engineers are leveraging a diverse range of process nodes to accelerate the development of their next-gen IPs. Among the most intriguing process nodes being utilized are TSMC N3 (3nm) and Samsung 4nm. These choices indicate a strategic decision to explore cutting-edge process technologies in order to push the boundaries of performance and efficiency.

Zen 5 Core Architecture and Process Nodes

The Zen 5 core architecture is set to be a significant milestone for AMD, incorporating a mix of 4nm and 3nm process nodes. By utilizing a combination of these advanced manufacturing technologies, AMD aims to strike a balance between power consumption, thermal management, and overall performance. This approach underscores AMD’s commitment to delivering high-quality and competitive products in an increasingly demanding market.

Potential Shift towards Samsung’s 4nm

There have been speculations that AMD might shift a portion of its production to Samsung’s 4nm process technology. While the extent of this collaboration remains unknown, this move could offer AMD additional flexibility and capacity to meet the growing demands of its customers. A partnership with Samsung in this context could potentially unlock new opportunities for collaboration and contribute to the overall advancement of the semiconductor industry.

Testing the Waters: Samsung Foundries and AMD

It is plausible that AMD has engaged with Samsung Foundries for a test run or to develop a specific I/O die. This would provide AMD with valuable insights into the capabilities and performance of Samsung’s 4nm process node. However, it is important to note that current reports suggest it is unlikely for AMD to produce any major intellectual property (IP) on Samsung’s 4nm process, indicating a cautious approach towards new partnerships and technologies.

Codenames and Future Developments

In the world of chip development, codenames often offer intriguing glimpses into the future. Recent leaks have revealed that the Zen 4 architecture, expected to be the next iteration after Zen 3, has been codenamed “Persephone.” Furthermore, the leaks indicate that Zen 5 is referred to as “Nirvana,” and Zen 6 as “Morpheus.” These codenames hint at AMD’s progressive vision for its future products and signify the company’s commitment to continuous innovation.

The Zen 5C Core: Prometheus

Turning attention to the Zen 5C core, there is speculation that it may be codenamed “Prometheus” considering the likelihood of the codename based on established patterns. This potential name suggests ambitions for the Zen 5C to introduce groundbreaking advancements, similar to the mythical figure Prometheus, who brought fire and technological advancement to humanity.

As AMD continues to push the boundaries of performance and efficiency, its collaboration with Samsung and TSMC for next-gen chips has the potential to yield significant advancements in chip technology. By leveraging Samsung’s 4nm and TSMC’s 3nm process nodes, AMD aims to deliver processors that are power-efficient, high-performing, and competitive in a rapidly evolving market. With codenames like Persephone, Nirvana, and Morpheus hinting at future developments, AMD is poised to make a lasting impact on the semiconductor industry with its upcoming Zen architectures.

Explore more

What Businesses Need to Know About Customer Identity Verification

Modern verification toolkits have expanded beyond simple photo ID inspections to include facial biometrics, liveness detection, and automated identity APIs. This shift occurs at a time when digital interactions represent the primary touchpoint between companies and their clientele. In an era where many customers never physically enter a store or meet a representative, the pressure to establish trust is immense.

Is AI the End of Current Blockchain Cryptography?

Current Ethereum and Bitcoin addresses that have broadcast a transaction are more vulnerable because their public keys are already visible on the ledger. This revelation has sent ripples through the cryptographic community, challenging the long-held assumption that decentralized networks would have decades to prepare for the advent of quantum-scale attacks. Instead of waiting for a physically realized quantum computer, researchers

How Is Google Cloud Redefining Legacy IT With AI?

The ability to generate business cases for cloud migration in minutes is replacing the manual spreadsheet modeling that previously slowed down IT departments. This shift marks a fundamental change in how large-scale infrastructure overhauls are perceived by the executive suite, moving away from purely technical discussions to strategic business narratives. In the current landscape of 2026, the rapid adoption of

Top Data Classification Tools and Strategies for 2026

Relying solely on automated machine learning without providing clear policy guidance often results in over-classification, making the entire security system difficult for employees to use. In the current digital landscape of 2026, data classification has transcended its origins as a back-office administrative chore to become a critical pillar of modern cybersecurity and global regulatory compliance. As enterprises manage vast petabytes

Google Updates View-Through Conversion Logic for Demand Gen

The quest for absolute clarity in digital attribution has long been the holy grail for modern marketers seeking to justify their visual media spend across expansive digital ecosystems. The change to a one-pixel threshold moves view-through metrics further away from proving active engagement and closer to measuring mere exposure. This technical adjustment, arriving as part of a broader overhaul of