- AMD Radeon AI PRO R9700S Delivers Maximum FP32 Computing Power of 47.8 TFLOPS
- AMD equips R9700S with 32GB GDDR6 memory for AI workloads
- PCIe 5.0 x16 support enables high-bandwidth communication for AI applications
AMD has unveiled the Radeon AI PRO R9700S, a passively cooled workstation GPU that joins the R9000 series and promises enterprise-grade AI performance.
After the launch of this series earlier this year, several major brands confirmed products with R9700 cards, indicating strong adoption in the industry.
The R9700S maintains the same Navi 48 RDNA4 configuration as the standard R9700, offering 64 compute units and 4096 stream processors.
Passive cooling for high-density AI workloads
Its boost clock reaches up to 2920 MHz and delivers a maximum FP32 performance of 47.8 TFLOPS, making it a capable choice for enterprise AI workloads.
Designed for dense racks and multi-GPU configurations, the R9700S uses a 32 GB GDDR6 memory buffer on a 256-bit bus with 64 MB Infinity Cache.
PCIe 5.0 x16 support ensures high-bandwidth communication with compatible workstation platforms.
The “S” designation on the R9700S indicates a quiet design, replacing the blower-style cooler of previous models.
This approach uses system airflow rather than integrated fans, making the GPU suitable for compact racks where multiple cards operate closely together.
Despite passive cooling, the card maintains a TDP of 300W and draws power through a single 12V-2×6 connector.
This approach reflects AMD’s focus on maintaining computing performance without adding active components.
The company also launched the R9600D, which is reduced to 48 compute units and 3072 stream processors while maintaining identical memory.
However, the R9700S offers higher performance for large AI models.
Both cards support Linux ECC memory options and are fully compatible with AMD’s PRO Edition software and ROCm integration.
The R9700S is optimized for tasks such as generative AI inference and training large language models.
This allows businesses to offload demanding workloads from CPU cores to GPU accelerators.
Early adoption of the R9700 appeared in pre-built systems such as Elsa’s Veluga-D A70S G6 workstation.
Combine the GPU with an AMD Ryzen 7 9700X CPU, 64GB of DDR5 RAM, and PCIe expansion slots for additional accelerators.
With these chips, AMD offers enterprise solutions for AI computing while focusing on memory bandwidth, power delivery, and quiet operation.
That said, the high raw performance of this chip raises questions about sustained thermals in dense implementations.
Therefore, companies deploying multiple drives must consider airflow and heat management at the system level to maintain stability under peak AI workloads.
Through videocardz
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