Moore’s Law Is Dead: A Look at Nvidia’s RTX 4090 vs RTX 5090

Moore’s Law, the observation that the number of transistors on a microchip doubles approximately every two years, has long been the bedrock of technological advancement in computing. However, recent developments, particularly with Nvidia’s RTX 4090 and RTX 5090 graphics cards, suggest that we might be witnessing the twilight of Moore’s Law in the realm of consumer graphics processing units (GPUs).

The Legacy of Moore’s Law

For decades, the semiconductor industry thrived under Moore’s Law, enabling exponential growth in computing power at a predictable pace. This law not only provided a roadmap for engineers but also set consumer expectations for performance improvements in consumer electronics, including GPUs.

Nvidia’s RTX 4090 and RTX 5090: A Reality Check

RTX 4090: Launched in 2022, the RTX 4090 was a marvel of its time, leveraging Nvidia’s Ada Lovelace architecture. It boasted:

  • CUDA Cores: 16,384
  • Memory: 24GB GDDR6X at 1TB/s bandwidth
  • Base/Boost Clock: 2.23 GHz / 2.52 GHz
  • Total Graphics Power (TGP): 450W

This GPU was a testament to the power of modern GPU architecture, providing exceptional performance for both gaming and professional applications.

RTX 5090: Introduced in early 2025, the RTX 5090 steps into the spotlight with Nvidia’s new Blackwell architecture, promising:

  • CUDA Cores: 21,760
  • Memory: 32GB GDDR7 at 1.8 TB/s bandwidth
  • Base/Boost Clock: 2.01 GHz / 2.41 GHz
  • Total Graphics Power (TGP): 575W

The Death of Moore’s Law?

Moores Law

When comparing these two GPUs, several points suggest that the straightforward scaling predicted by Moore’s Law is no longer in play:

  1. Performance Gains vs. Power Consumption: The RTX 5090 offers a performance increase of about 25-30% over the RTX 4090. This is a significant leap, but the power consumption has also increased by approximately 37%. This ratio of performance increase to power consumption suggests a diminishing return compared to previous generations, where performance jumps were more substantial with less of an energy penalty.
  2. Core Count and Clock Speeds: Although the RTX 5090 has more CUDA cores, the clock speed has decreased, hinting at the challenges in maintaining the traditional pace of transistor scaling without hitting thermal and power efficiency walls.
  3. Manufacturing Process: Moving from a 5nm process in the RTX 4090 to a 4nm in the RTX 5090 does not yield the expected performance scaling. This indicates that we’re nearing the physical limits of current semiconductor technology, where smaller process nodes do not automatically translate to proportionate performance gains.
  4. Cost vs. Benefit: The RTX 5090’s price point, rumored around $2,000 or more, reflects not just the cost of manufacturing but also an adjustment to the market where Moore’s Law can no longer guarantee cost-effective performance enhancements. Consumers are now paying more for increasingly marginal improvements.

What This Means for the Future

  • Innovation Shift: Manufacturers like Nvidia are now focusing on architecture optimization, AI enhancements (like DLSS 4), and memory technology rather than just transistor count. This shift from raw power to smart power utilization suggests a new era where software and hardware integration will define progress.
  • Sustainability Concerns: The increase in power consumption per unit of performance gain raises questions about sustainability, pushing the industry towards more energy-efficient solutions.
  • Consumer Expectations: The predictable timeline of performance upgrades is being replaced by less predictable, but often more specialized, advancements tailored to specific applications like AI, VR, or ultra-high-definition gaming.

Conclusion

The comparison between Nvidia’s RTX 4090 and RTX 5090 does more than just benchmark performance; it signals a significant shift in the tech landscape. Moore’s Law, as we knew it, might indeed be “dead” for consumer GPUs, but this opens up new avenues for innovation. The future of computing might not be about cramming more transistors into less space but about how creatively and efficiently those transistors can be used. This evolution reflects a mature industry adapting to physical limits while striving to redefine what performance means in the digital age.