Intel stock jumps 6% on new AI inference chip strategy

Intel shares surged over 6% on Wednesday after the company unveiled an aggressive new strategy to capture a larger share of the booming AI inference market, a move aimed directly at competitors Nvidia and AMD.

"We are re-architecting our approach to AI inference to deliver a 2x performance-per-watt improvement over current-generation products," an Intel spokesperson said in the announcement.

The new strategy centers around a forthcoming chip, codenamed "Polaris," built on a "not yet disclosed" process node. While detailed specifications are pending, Intel claims "Polaris" will offer significant gains in power efficiency and performance for AI inference workloads. The first samples are expected in late 2026, with mass production slated for the first half of 2027.

The move puts Intel in direct competition with Nvidia's dominant H100 and AMD's MI300 accelerators. With the AI inference market projected to reach over $50 billion by 2028, a successful "Polaris" launch could significantly impact Intel's revenue and market share. INTC currently trades at a forward P/E of 25x, a discount to NVDA's 40x.

Challenging the Incumbents

Intel's announcement signals a direct challenge to Nvidia, which currently holds an estimated 80% share of the AI accelerator market. While Nvidia's GPUs have been the go-to for training large language models, the inference market—where models are deployed to generate responses and analyze data—is seen as a larger long-term opportunity. AMD has also made significant inroads with its MI300 series, winning key contracts with major cloud providers.

Intel's "Polaris" will need to deliver on its performance-per-watt promises to effectively compete. The company has not yet disclosed which foundry will be used for the new chip, but analysts speculate that a partnership with TSMC, which manufactures chips for both Nvidia and AMD, is likely.

Analyst Skepticism and Potential

Analysts have met the announcement with cautious optimism. "Intel has a long road ahead to catch up to Nvidia's software ecosystem and established market position," said a senior analyst at a major investment bank. "However, a competitive inference chip could open up a significant revenue stream for the company."

The success of "Polaris" will also depend on Intel's ability to build a robust software ecosystem around the new chip. Nvidia's CUDA platform has been a key factor in its dominance, and Intel will need to offer a compelling alternative to attract developers. The company has been investing heavily in its oneAPI software initiative, which aims to provide a unified programming model across different hardware architectures.

Other players in the AI chip market include Google with its custom Tensor Processing Units (TPUs) and Amazon with its Trainium and Inferentia chips. The increasing competition is expected to drive down costs and accelerate innovation in the AI hardware space.

This article is for informational purposes only and does not constitute investment advice.