Is 2026 a Turning Point for NVDA or the Year It Breaks the 5 Trillion Mark

The narrative in AI hardware is undergoing a significant shift. NVIDIA is officially entering the ASIC and inference market through its partnership with Groq, involving about 20 billion dollars in inference machines. This marks a new phase in AI computing NVIDIA is expanding from GPU-dominated training into ASIC dominated inference.
What does this mean? Here are some of my guesses
GPUs still firmly dominate AI model training.
But hyperscale cloud providers and enterprise customers are increasingly leaning toward specialized chips, ASICs, to better control power, depreciation costs, and unit economics, achieving low-latency, cost-effective inference deployments.
This does not mean NVIDIA is pessimistic, on the contrary it shows AI spending is diversifying, with funds flowing into multiple chip architectures rather than concentrating on a single winner.
ASICs are evolving from a previously niche position to becoming a core necessity for cost efficient inference in the AI stack.
Overall, in the thin liquidity environment at year-end, this structural shift in the AI hardware sector is drawing market attention, but short-term price volatility calls for caution. More meaningful trend validation might not come until January 2026. Will NVDA continue to rise and break the 5 trillion mark? What does today's market drop signal? I am already a long-term holder, but will the market shift in2026 and should I continue holding?