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CheckMag | The great GPU slowdown

The future of GPUs: Redefining innovation beyond silicon limits (Image source: AI-generated)
The future of GPUs: Redefining innovation beyond silicon limits (Image source: AI-generated)
As GPUs hit silicon limits, raw performance gains are slowing, shifting focus to architectural innovation and real-world metrics like frame latency. Technologies like AI-driven rendering and 3D stacking promise a new era, where efficiency and smooth gameplay redefine how we measure and achieve GPU performance.
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For decades, GPUs have revolutionized computing, driving incredible leaps in performance with each new generation. Yet, as the industry approaches the physical and financial limits of silicon manufacturing, these gains are slowing, forcing a shift in how performance is achieved and measured. Examining generational trends reveals this shift and underscores the need for new strategies to sustain innovation in GPU technology.

Let's take Nvidia’s evolution as an example. The RTX 20 series (Turing) introduced real-time ray tracing, a significant architectural milestone, while the RTX 30 series (Ampere) and RTX 40 series (Ada Lovelace) pushed computational power to new heights. However, the pace of performance growth has decelerated. Monthly gains dropped from ~2.68% during the RTX 20 to 30 transition to an estimated ~0.96% for the upcoming RTX 50 series. AMD’s story follows a similar pattern, with RDNA 2 (RX 6000 series) delivering a remarkable ~6.25% monthly improvement which RDNA 3 can not match at ~2.60%.

Generational monthly gains for AMD based on Notebookcheck-conducted benchmarks (Image source: Sebastian Jankowski / Notebookcheck)
Generational monthly gains for AMD based on Notebookcheck-conducted benchmarks (Image source: Sebastian Jankowski / Notebookcheck)
Generational monthly gains for Nvidia based on Notebookcheck-conducted benchmarks (Image source: Sebastian Jankowski / Notebookcheck)
Generational monthly gains for Nvidia based on Notebookcheck-conducted benchmarks (Image source: Sebastian Jankowski / Notebookcheck)

This decline is not due to a lack of ambition but the growing challenges of silicon scaling. Process nodes like 7nm and 4nm have unlocked extraordinary capabilities, but further miniaturization faces steep technical and financial barriers. The era of exponential raw hardware growth is giving way to a focus on architectural innovation as the main driver of progress.

Architectural enhancements like Nvidia’s DLSS and AMD’s multi-chip designs represent this new direction. These new technologies leverage AI, advanced memory integration, and software-driven optimization to enhance performance in real-world scenarios. Emerging concepts like chiplet architectures and 3D stacking also promise to transform GPU design, enabling manufacturers to overcome the limits of monolithic chips and achieve higher performance within existing constraints.

As hardware innovation slows, our understanding of performance must evolve. Traditional benchmarks—such as teraflops and synthetic test scores—still hold value but often fail to capture real-world user experience, especially in gaming. A more meaningful approach is to focus on frame latency, which measures the time it takes for a GPU to render and display individual frames. This metric better reflects the fluidity and responsiveness of gameplay.

Latency needs also vary significantly between gaming genres. Fast-paced shooters (FPS) demand ultra-low latency for smooth visuals and precise controls during action-heavy sequences. On the other hand, role-playing games (RPGs) prioritize rich, immersive visuals, where slightly higher latency is acceptable. Strategy games or casual titles can tolerate even more latency without compromising user satisfaction. Recognizing these differences allows developers and manufacturers to optimize graphics adapters and software for specific use cases, ensuring the best experience across diverse gaming applications.

Frame latency has a direct impact on how smooth and responsive a game feels, particularly in graphically intensive or high-frame-rate scenarios. Measuring GPUs based on latency and stability provides a clearer picture of their real-world performance. A GPU with modest raw power might still outperform a higher-rated competitor by minimizing stutters and frame drops during demanding gameplay. By emphasizing such metrics, manufacturers can better meet the expectations of gamers and professionals alike.

The GPU industry is at a critical juncture. With traditional silicon scaling offering diminishing returns, the future lies in combining innovative hardware designs with smarter approaches to performance measurement. AI-enhanced rendering, smarter resource allocation, and advanced memory architectures will drive the next wave of GPU evolution. At the same time, adopting metrics like frame latency ensures these advances deliver meaningful, tangible improvements for end users.

The next chapter for GPUs is not just about making silicon faster or smaller. It’s about reimagining how we approach computing itself—focusing on creativity, efficiency, and user experience to propel innovation in a world where the limits of silicon are no longer the limits of possibility.

Nvidia GPU performance table

GPU series Architecture Process node 3DMark Time Spy Extreme score % difference vs. previous gen Months between launches Monthly average % gain
Nvidia RTX 50 series (Quadro, GeForce ,...) Blackwell 4nm TSMC (4NP) Estimated: 25,000 +25% Expected: 26 months ~0.96% per month
Nvidia RTX 40 series (Quadro, GeForce ,...) Ada Lovelace 4nm TSMC 20,692 (RTX 4090) +80% 23 months ~3.48% per month
Nvidia RTX 30 series (Quadro, GeForce ,...) Ampere 8nm Samsung 11,441 (RTX 3080 Ti) +63% 24 months ~2.63% per month
Nvidia RTX 20 series (Quadro, GeForce ,...) Turing 12nm 7,000 (RTX 2080 Ti) +75% 28 months ~2.68% per month
Nvidia GTX 10 series (Quadro, GeForce ,...) Pascal 16nm 4,000 (GTX 1080 Ti) N/A 19 months N/A

AMD GPU performance table

GPU series Architecture Process node 3DMark Time Spy Extreme score % difference vs. previous gen Months between launches Monthly average % gain
AMD RX 9000 series RDNA 4 4nm TSMC (N4P) Estimated: 22,000 +25% Expected: 24 months ~1.04% per month
AMD RX 7000 series RDNA 3 5nm TSMC 19,857 (RX 7900 XTX) +65% 25 months ~2.60% per month
AMD RX 6000 series RDNA 2 7nm TSMC 12,054 (RX 6900 XT) +100% 16 months ~6.25% per month
AMD RX 5000 series RDNA 7nm TSMC 6,000 (RX 5700 XT) +50% 26 months ~1.92% per month
AMD RX Vega series Vega 14nm 4,000 (RX Vega 64) N/A 16 months N/A
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Sebastian Jankowski, 2025-01-21 (Update: 2025-01-21)