Anyscale LLM host performance benchmarks

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• Anyscale LLM host performance benchmarks

Anyscale LLM host performance benchmarks

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README

Anyscale has published a set of performance benchmarks for large language model (LLM) inference on different cloud hosting platforms. The benchmarks cover popular LLMs like GPT-3, InstructGPT, and Chinchilla, testing their performance on various cloud GPU instances.

Some key findings from the benchmarks:

• AWS P4d instances offer the best performance for inference of these LLMs, outperforming other cloud providers.
• GCP A2 instances also perform well, with good cost-performance tradeoffs.
• Azure Standard_ND40rs_v2 instances lag behind in terms of raw performance, but may offer better price-performance for some use cases.

The benchmarks are available as an open-source leaderboard, allowing anyone to submit results for comparison. This provides a valuable resource for developers and researchers looking to optimize LLM inference for their applications.

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Suggested Labels

• llm
• benchmarking
• performance
• cloud-computing

Suggested labels

{'label-name': 'performance-comparison', 'label-description': 'Exploring performance comparisons in LLM hosting environments', 'confidence': 53.12}

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