RTX 5090 LLM Benchmarks: Is It the Best GPU for AI?
Blog post from RunPod
The NVIDIA RTX 5090 is revolutionizing AI compute performance, particularly for large language model (LLM) inference, by outperforming professional and data center GPUs like the RTX 6000 Ada and NVIDIA A100 in comprehensive benchmarks. Despite having less VRAM, the RTX 5090's 32GB memory consistently delivers superior performance across various token lengths and batch sizes, achieving up to 5,841 tokens/second, which is 2.6 times faster than the A100. The GPU's exceptional capabilities are attributed to NVIDIA's latest Blackwell architecture, featuring 170 Streaming Multiprocessors (SMs) that enhance parallel processing power, making it ideal for high-performance inference tasks in applications such as chatbots and real-time services. The RTX 5090 offers a cost-effective solution for AI workloads, with impressive SMs per dollar/hour value, positioning it as a top choice for businesses requiring high throughput and efficient processing of smaller models at scale, despite its lower VRAM capacity.