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The NVIDIA K80 features the Kepler architecture with 24 GB of GDDR5 VRAM split across two GPU dies.
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The NVIDIA K80 features the Kepler architecture with 24 GB of GDDR5 VRAM split across two GPU dies. It is a legacy datacenter accelerator that remains available on budget cloud instances, offering large aggregate memory capacity at minimal cost.
With 24 GB of total VRAM, the K80 can load Large Language Models (LLM) for basic inference tasks, though its throughput is significantly limited by the older Kepler architecture. It is best suited for educational use, initial prototyping, and scenarios where compute cost is the primary constraint.