Key Points
Nvidia (NASDAQ: NVDA) has made headlines with its acquisition of Groq, enabling it to enhance its position in the AI inference market. This follows a significant focus on large language model (LLM) training, which is expected to shift towards inference as the larger market. The inference market demands cost-efficient, memory-centric solutions for ongoing processing, in contrast to the compute-heavy training phase.
Cerebras Systems (NASDAQ: CBRS) is adopting a new approach with its wafer-sized chips that integrate high compute power and SRAM, facilitating inference speeds 15 times faster than GPUs. Conversely, Nvidia’s LPUs, resulting from its Groq acquisition, use conventional chip sizes but need to work in large clusters, impacting efficiency. Nvidia’s synergy of GPUs and LPUs aims to leverage both technologies for superior performance in inference tasks.
As of now, Cerebras is trading at over 100 times its trailing sales, raising concerns about its valuation despite potential growth backed by OpenAI. In contrast, Nvidia’s established market leadership and recent technological advancements position it as a more favorable stock investment for those looking at the inference market.
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