From training to inference, NVIDIA Corporation's (NVDA.US) barriers are further strengthened! Analysts: It is difficult to imagine how competitors can compete.

At the annual technology summit GTC of NVIDIA Corporation (NVDA.US), the chip giant showcased many innovative products and strategic partnerships. Wall Street analysts believe that the launch of these new products will further strengthen NVIDIA Corporation's position in the AI inference market. Bernstein maintains an "outperform" rating on NVIDIA Corporation and a target price of $300. The analyst team led by Stacy Rasgon stated, "We are impressed by NVIDIA Corporation's development plans. The company's technology roadmap is very solid, and the gap with competitors continues to widen. The launch of new products will help replicate its dominant position in the inference field as seen in the training market. Based on order situation, there is further room for the company's performance to improve. Considering NVIDIA Corporation's market position, the current valuation (2026/2027 expected earnings ratio of about 15 times) is quite attractive, and we still recommend buying." AI inference refers to the process where a trained AI model applies the learned logic and patterns to new data to make predictions, generate content, or make decisions. At this year's GTC conference, NVIDIA Corporation announced a series of major news: it is expected to create a $1 trillion revenue opportunity by 2027, announced a partnership with OpenClaw, introduced the Groq 3 Language Processing Unit (LPU), integrated with the Vera Rubin architecture, and showcased multiple new products. According to analysts, NVIDIA Corporation's CFO Colette Kress confirmed that this $1 trillion revenue expectation only comes from Blackwell and Rubin and their related network products, excluding other product lines such as Groq LPU, CPX, and CPU racks. Rasgon's team pointed out, "Therefore, we expect the actual performance of the data center business to far exceed this $1 trillion target, significantly exceeding market expectations. It is worth noting that the implied revenue of about $500 billion in the 2027 fiscal year is already higher than the market's generally expected $438 billion." Analysts also emphasized that the competitive advantage of NVIDIA Corporation's comprehensive platform strategy is becoming more apparent. The company continues to deepen its software and hardware ecosystem in multiple product areas, including GPUs, CPUs, DPUs, and now expanding into LPUs, networking, and storage. Each generation of products will reduce token computing costs by an order of magnitude, which will help the company take the lead in an era of exponential growth in inference computing. Rasgon's team admitted, "Frankly, we are finding it increasingly difficult to imagine how other companies can compete with NVIDIA Corporation." Citigroup maintains a "buy" rating on NVIDIA Corporation and a target price of $300. The analyst team led by Atif Malik stated, "After listening to the keynote speeches, we are more convinced that NVIDIA Corporation's technology roadmap is clear, and its innovation speed continues to lead the competition." The team particularly focuses on three highlights: first, NVIDIA Corporation is at a turning point in its inference business, with data center sales expected to reach $1 trillion from 2025 to 2027, aligning with Citigroup and investor expectations, higher than the market's $950 billion expectation. Since this $1 trillion does not include revenue from LPUs, independent CPUs, and Hopper, the actual data may increase by several hundred billion dollars. Considering the 9 to 12 month delivery cycle, there is still room for upward adjustment in the 2027 expectation. Secondly, the 2026-2028 product roadmap shows NVIDIA Corporation's extreme pursuit of collaborative design, covering GPUs, CPUs, new Co-Packaged Optics (CPO) chips (for horizontal and vertical expansion), and new LPU chips. Thirdly, the Groq IP is used for LPU chips, used in conjunction with Rubin, and is said to provide a 35x throughput increase, making NVIDIA Corporation more competitive in the fast inference workload field. Morgan Stanley maintains an "overweight" rating on NVIDIA Corporation, reaffirming its status as the preferred stock in the semiconductor sector, while maintaining a target price of $260. Analyst Joseph Moore and his team stated, "This GTC keynote speech focuses on the inference market, with NVIDIA Corporation leading the development of next-generation agent-based AI workloads with its leading hardware and software advantages. The core message is clear: inference based on NVIDIA Corporation's platform has a significant advantage in single Token cost, and the launch of Rubin will further expand this advantage. Our research also confirms this. The financial outlook is positive but not overly optimistic, and this kind of conservative attitude is appreciated." Bank of America Corp maintains a "buy" rating on NVIDIA Corporation with a target price of $300, and continues to list it as a top pick in the AI field. The analyst team led by Vivek Arya stated that NVIDIA Corporation's full-stack decoupled product line demonstrates a market outlook of $1 trillion, further expanding its leading position in the AI inference field.