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Can Intel's New GPU and Xeon Technologies Enhance its AI Capabilities?
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Key Takeaways
INTC is introducing Xeon-based rack designs with over 46,000 cores per rack to support agentic AI.
Intel's Crescent Island GPU delivers up to 480GB of memory and 1.3 petaflops of FP8 computing performance.
INTC is combining CPUs, GPUs and open software to make AI easier to deploy.
Intel Corporation (INTC - Free Report) is expanding its artificial intelligence (AI) infrastructure portfolio with new GPU technology, advanced Xeon processor systems and open software innovations to meet the growing demand for agentic AI. Its latest offerings aim to improve computing performance, power efficiency and scalability for enterprise AI workloads.
Intel introduced the latest Xeon-based rack designs to support the computing demands of agentic AI applications. Select Xeon 6+ configurations can deliver more than 46,000 cores per rack, enabling efficient data processing, workload management and task execution. Developed with ecosystem partners, these systems use open infrastructure standards to simplify deployment and help customers scale AI operations.
The company provided new details about its Intel GPU D-series, code-named Crescent Island. Built on Intel’s Xe3P architecture, the accelerator offers up to 480GB of LPDDR5X memory, 1.5TB/s of memory bandwidth and 1.3 petaflops of FP8 computing performance within a 350-watt power envelope. Designed for large language models and memory-intensive inference workloads, it supports models with up to 300 billion parameters on a single card and more than one trillion parameters in an eight-GPU system.
Intel is also advancing software integration across CPUs and GPUs to simplify AI application development and deployment. Its software ecosystem supports established AI frameworks, inference runtimes and emerging open models, while the AI for Enterprise Agent Toolkit provides orchestration capabilities for production AI applications.
Additionally, Intel is collaborating with industry partners to develop standardized accelerator designs that improve compatibility and simplify integration across systems. By combining Xeon processors, specialized GPUs and open software, the company is building a flexible and cost-effective foundation for deploying AI applications at scale.
How Are Competitors Performing in the AI Space?
Intel faces competition from Qualcomm Incorporated (QCOM - Free Report) and Advanced Micro Devices (AMD - Free Report) . Qualcomm is strengthening its AI business with data center processors and AI accelerators. The company is collaborating with Amazon to develop custom chips for AI data centers. Qualcomm is developing energy-efficient technologies to enable faster AI processing while reducing power consumption.
AMD introduced its Helios rack-scale platform to support agentic AI workloads by combining EPYC processors and Instinct GPUs. The company is working with industry partners to provide flexible, scalable AI infrastructure for data centers. AMD is expanding its Instinct GPU portfolio to handle demanding AI training and inference workloads while improving computing performance and energy efficiency.
INTC’s Price Performance, Valuation & Estimates
Shares of Intel have skyrocketed 184.4% over the past year compared with the industry’s growth of 32.2%.
Image Source: Zacks Investment Research
Going by the price/book ratio, the company's shares currently trade at 4.96 times book value, lower than the industry average of 23.36.
Image Source: Zacks Investment Research
INTC’s earnings estimates for 2026 have increased 2% to $1.50 per share, while those for 2027 have increased 2.1% to $1.97 over the past 60 days.
View the Zacks #1 Rank List
Image: Bigstock
Can Intel's New GPU and Xeon Technologies Enhance its AI Capabilities?
Key Takeaways
Intel Corporation (INTC - Free Report) is expanding its artificial intelligence (AI) infrastructure portfolio with new GPU technology, advanced Xeon processor systems and open software innovations to meet the growing demand for agentic AI. Its latest offerings aim to improve computing performance, power efficiency and scalability for enterprise AI workloads.
Intel introduced the latest Xeon-based rack designs to support the computing demands of agentic AI applications. Select Xeon 6+ configurations can deliver more than 46,000 cores per rack, enabling efficient data processing, workload management and task execution. Developed with ecosystem partners, these systems use open infrastructure standards to simplify deployment and help customers scale AI operations.
The company provided new details about its Intel GPU D-series, code-named Crescent Island. Built on Intel’s Xe3P architecture, the accelerator offers up to 480GB of LPDDR5X memory, 1.5TB/s of memory bandwidth and 1.3 petaflops of FP8 computing performance within a 350-watt power envelope. Designed for large language models and memory-intensive inference workloads, it supports models with up to 300 billion parameters on a single card and more than one trillion parameters in an eight-GPU system.
Intel is also advancing software integration across CPUs and GPUs to simplify AI application development and deployment. Its software ecosystem supports established AI frameworks, inference runtimes and emerging open models, while the AI for Enterprise Agent Toolkit provides orchestration capabilities for production AI applications.
Additionally, Intel is collaborating with industry partners to develop standardized accelerator designs that improve compatibility and simplify integration across systems. By combining Xeon processors, specialized GPUs and open software, the company is building a flexible and cost-effective foundation for deploying AI applications at scale.
How Are Competitors Performing in the AI Space?
Intel faces competition from Qualcomm Incorporated (QCOM - Free Report) and Advanced Micro Devices (AMD - Free Report) . Qualcomm is strengthening its AI business with data center processors and AI accelerators. The company is collaborating with Amazon to develop custom chips for AI data centers. Qualcomm is developing energy-efficient technologies to enable faster AI processing while reducing power consumption.
AMD introduced its Helios rack-scale platform to support agentic AI workloads by combining EPYC processors and Instinct GPUs. The company is working with industry partners to provide flexible, scalable AI infrastructure for data centers. AMD is expanding its Instinct GPU portfolio to handle demanding AI training and inference workloads while improving computing performance and energy efficiency.
INTC’s Price Performance, Valuation & Estimates
Shares of Intel have skyrocketed 184.4% over the past year compared with the industry’s growth of 32.2%.
Image Source: Zacks Investment Research
Going by the price/book ratio, the company's shares currently trade at 4.96 times book value, lower than the industry average of 23.36.
Image Source: Zacks Investment Research
INTC’s earnings estimates for 2026 have increased 2% to $1.50 per share, while those for 2027 have increased 2.1% to $1.97 over the past 60 days.
Image Source: Zacks Investment Research
Intel currently carries a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.