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AMD Discusses RDNA 3 Power Consumption and Performance Challenges In a recent video featuring a discussion with AMD, key details emerged regarding the RDNA 3 architecture, particularly concerning power consumption, performance targets, and design challenges. This interview, highlighted by the channel Tom's Hardware, provides insight that is particularly relevant for Windows enthusiasts who prioritize gaming and intensive computing.
Key Points from the Interview
- RDNA 3 Power Consumption: AMD acknowledges that while they aim for high performance targets with their RDNA 3 architecture, they also anticipate a significant increase in power consumption. Sam Nafiiga, AMD’s Senior Vice President, explained that the demand for greater gaming and compute performance is accelerating, leading to higher power levels despite significant efficiency improvements.
- Performance Per Watt Improvements: Despite the expected rise in power consumption, AMD claims that RDNA 3 will see a performance increase of up to 50% compared to its predecessor, RDNA 2. This is significant for gamers seeking enhanced performance without overburdening their power supplies.
- Design Strategy: The interview also indicated a chiplet-based design approach for RDNA 3. However, AMD clarified that this does not involve high-bandwidth memory (HBM), opting instead for multi-chip designs that utilize GDDR6 memory. This design could improve performance by allowing for more efficient resource allocation across multiple cores.
- Comparison with NVIDIA: AMD hinted that while they will push power consumption figures up, they believe their competition—which includes NVIDIA’s upcoming models known as the RTX 40 series—might have to ramp up power levels even higher. This could give AMD an edge in performance-per-watt metrics.
- Intel 13900 Benchmark Leak: Alongside the discussion of RDNA 3, AMD shared insights into the Intel 13900 processors, revealing a performance preview that suggests improvements over the previous generation, with benchmarks showing variances depending on the workload.