Top Open Source AI Options, Including GLM 5.2 and DeepSeek, Remain Incompatible with Most Devices
deepseek open-source qwen training
| Source: Mastodon | Original article
Top open source AI models require costly hardware to run at usable speeds, exceeding six figures.
The best open source AI models, including GLM 5.2, DeepSeek, and Qwens, are not suitable for running on standard laptops due to their high computational requirements. To achieve decent speeds, significant investments in hardware are necessary, with costs reaching six figures. This highlights the challenges of deploying advanced AI models in resource-constrained environments.
The high cost of running these models is a significant barrier to adoption, making them inaccessible to many individuals and organizations. This matters because it limits the potential applications and benefits of these models, which have shown impressive performance in various benchmarks. GLM 5.2, for example, has been shown to deliver best-in-class performance in reasoning, coding, and agentic tasks, closing the gap with frontier models.
As the development of open source AI models continues to advance, it will be important to watch for innovations that address the computational requirements and cost barriers. This could include the development of more efficient models, specialized hardware, or cloud-based services that make it easier to deploy and run these models.
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