The value of Groq comes from its excellent price-to-performance ratio. Its inferencing speeds are faster than those of H200s, and it has the lowest costs in the industry. When running similar batch jobs across different providers compared to Groq, the processing speed can sometimes be more than 10 times faster. These figures are important for developing practical applications for production use. It's common for me to run workloads in Groq that cost less than $100, while the same workload can approach $1,000 on Bedrock or Gemini. They have tuned a set of OS models that can now deliver a full application. The speeds have allowed me to offload a lot of the functionality from heuristics to straight-up LLMs.