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Intel did not bring Falcon Shores to market. Although the company originally targeted the AI and high-performance-computing (HPC) accelerator for introduction in 2025, it later said it would use the chip internally for testing instead. Intel’s filings identify Jaguar Shores as its subsequent AI-accelerator development focus, but do not establish a firm release date.
What Intel originally planned for Falcon Shores
In a 2023 announcement, Intel described Falcon Shores as a flexible, chiplet-based GPU architecture intended to serve HPC and AI computing. The company said the design could incorporate new Intel and customer intellectual property, including CPU cores and chiplets, over time. Intel’s wording was that Falcon Shores was “targeted for introduction in 2025”—a roadmap target, not confirmation that a finished product would ship or be available to customers. Intel’s original announcement described design intent, not final product specifications.
Why Falcon Shores did not become a commercial product
Intel’s fiscal 2024 Form 10-K explains that customer feedback changed the plan. The company said it would “utilize it as an internal test chip rather than bring it to market.” In other words, Falcon Shores remained part of Intel’s development work, but Intel did not plan to sell it as a customer-facing accelerator. Intel’s fiscal 2024 filing also situates Falcon Shores in the company’s accelerator development following Gaudi 3.
That change means the original 2025 target should not be read as a product launch, customer availability date, or promise that a retail or data-center SKU would follow. The official sources cited here do not establish a final Falcon Shores performance level, specifications, or customer availability.
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- System Compatibility Note: This 2-slot card measures 271 x 112 x 39 mm and requires a single 12V-2x6-pin power connector. Please verify chassis and PSU compatibility before purchase.
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- Professional Intel Arc Pro B70 GPU: Built on the Intel Xe2-HPG architecture, it features 32 Xe cores and 256 XMX engines, designed to accelerate AI, rendering, and complex visualization workloads.
- Massive 32GB GDDR6 VRAM: Equipped with 32GB of high-speed GDDR6 memory on a 256-bit bus, running at 19 Gbps, which allows for handling large AI models and complex datasets locally.
- High-Performance Engine Clock: Delivers an engine clock of 2540 MHz, providing the compute power needed for demanding professional applications and AI inference.
What Intel says it is developing instead
Intel’s fiscal 2024 filing identified Jaguar Shores as its focus for a next-generation AI accelerator. Its fiscal 2025 Form 10-K says Intel continued developing Jaguar Shores as a next-generation GPU architecture. Those statements confirm a development direction, not a firm shipping schedule: the reviewed filings do not give a confirmed release date. Intel’s fiscal 2025 filing provides the later development update.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How Crescent Island fits into the picture
In October 2025, Intel separately announced Crescent Island, a data-center GPU designed for AI inference workloads. That is a distinct portfolio announcement; it does not mean Falcon Shores reached the market or establish when Jaguar Shores will be available. Intel’s Crescent Island announcement describes the separate inference-focused GPU.
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- System Compatibility Note: This 2‑slot card measures 271 mm (L) x 112 mm (W) x 39 mm (H) and uses a 12V‑2x6 power connector. It consumes up to 200 W. The package includes a 12V‑2x6 to dual 8‑pin adapter cable. Please verify chassis clearance and ensure your power supply is properly rated before purchase.
- Dedicated Support: Please contact us directly through Amazon for any product questions or assistance you may require.
- Optimized for Professional Workloads with 32GB GDDR6: Powered by 32GB of GDDR6 memory on a 192‑bit interface running at 19 Gbps, this card delivers a massive 608 GB/s of memory bandwidth. This is ideal for local AI model inference, LLM deployments, large‑scale rendering, and heavy multitasking without relying on cloud resources.
- Next‑Gen Intel Xe2-HPG Architecture with AI Acceleration: Built on Intel’s Xe2-HPG architecture, it features 20 Xe cores and 160 Xe Matrix eXtension (XMX) engines, delivering up to 197 TOPS of INT8 AI compute power. It is equipped with 3rd Gen Ray Tracing and 2nd Gen AI Accelerators to significantly speed up demanding AI and rendering workflows.
- PCIe 5.0 Support for Maximum Bandwidth: Uses a PCI Express 5.0 x16 interface, providing ample data throughput for high‑speed data transfers, ensuring large models and datasets move efficiently between storage and GPU.
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