LLM Benchmarking on GPUs
Reported by the original publisher: We'll benchmark an Open weights LLM on any GPU you choose — drop your model + hardware and we'll run it. [D]. Analysis and context written by TickrWire.
HexGrid Cloud is benchmarking open-source LLMs on various GPUs, allowing users to choose the model and hardware for testing. The goal is to optimize the serving and deployment layer of their platform.
- HexGrid Cloud is benchmarking open-source LLMs on various GPUs
- Users can choose the model and hardware for testing
- The goal is to optimize the serving and deployment layer of the HexGrid Cloud platform
HexGrid Cloud, a platform for deploying open-source models on GPUs, is working on optimizing its serving and deployment layer. To test the capabilities of their platform, they are benchmarking real models under real concurrency conditions.
The benchmarking process involves running various LLM models, including Nemotron-3 Super 120B-A12B and Nemotron-3 Nano 30B A3B, on different GPUs. This will provide valuable information on the performance of these models in real-world scenarios.
By allowing users to choose the model and hardware for benchmarking, HexGrid Cloud aims to provide a more accurate representation of how these models perform in practice. This initiative can help developers and researchers make informed decisions when selecting models and hardware for their projects.
Helps with model and hardware selection
Advances the development of AI technologies
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