NVIDIA RTX 4090 Outperforms RTX 5080 for LLM Inference

For large language model (LLM) inference, the NVIDIA RTX 4090 remains the superior choice over the newer RTX 5080, primarily due to its larger VRAM capacity. While the RTX 5080 boasts a newer architecture and lower power consumption, the RTX 4090's 24GB of VRAM is crucial for running larger models (32B parameters and above) and supporting longer context windows, which the 16GB RTX 5080 cannot accommodate. Although the RTX 5080 is a capable card for smaller models and gaming, the RTX 4090's VRAM advantage is non-negotiable for serious LLM work. AI

IMPACT Hardware VRAM capacity is critical for running larger LLMs, making the RTX 4090 a better choice for serious inference tasks.

RANK_REASON Comparison of hardware for a specific AI workload (LLM inference).

Read on dev.to — LLM tag →

• CodeLlama 34B
• DeepSeek-R1 32B
• LLM
• NVIDIA
• Qwen 2.5 32B
• RTX 3090
• RTX 4090
• RTX 5080

• infra
• product

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