Z.ai has announced that it is struggling due to the scarcity of available GPUs. The communication appeared on Reddit, in a post that highlights the difficulties many companies face in accessing the computing resources needed for artificial intelligence workloads, particularly for inference and training of large language models.
The difficulty of accessing GPUs is a growing problem in the AI sector, with demand exceeding supply. This can negatively impact the ability of companies to develop and implement AI-based solutions, especially for those who cannot afford the most expensive cloud infrastructures. For those considering on-premise deployments, there are trade-offs to consider, as highlighted by AI-RADAR's analytical frameworks on /llm-onpremise.
The situation highlights the importance of carefully evaluating deployment options and hardware architectures to optimize costs and ensure data sovereignty.
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