Recommended Free Tools
iTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more
Intel says it will use Falcon Shores as an internal test chip rather than sell it. The company attributed the decision to customer feedback and said it is focusing development on Jaguar Shores as its intended generally programmable GPU AI accelerator for customers. Intel has not confirmed Jaguar Shores’ launch date or final specifications.
Why isn’t Intel launching Falcon Shores?
Intel’s 2024 Form 10-K says the company had been developing Falcon Shores as its next-generation AI accelerator to succeed the Gaudi product line. It then states: “based on customer feedback we will utilize it as an internal test chip rather than bring it to market.”
That is a decision not to commercialize Falcon Shores, not an announcement that a retail launch has simply been delayed. Intel gives customer feedback as the reason; it does not specify what feedback it received or identify a single technical or business issue behind the choice. Intel’s 2024 Form 10-K, filed January 31, 2025, is the clearest public account of the decision.
Quick wins for a faster PC:
Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →Scan for outdated or missing drivers - takes under a minuteDriver Scan →What is Intel doing instead?
Jaguar Shores: the development focus
Intel said it was focusing development on Jaguar Shores, which it had previously targeted to succeed Falcon Shores. The filing describes Jaguar Shores as the company’s intended first generally programmable GPU AI accelerator offering to customers. That establishes its role in Intel’s roadmap, but not a confirmed release schedule or finished product configuration. Intel’s official materials cited here do not establish a Jaguar Shores launch date, final specifications, or commercial availability.
#1 Best Overall
- NVIDIA Volta GV100 Architecture — 4,608 CUDA Cores, 640 1st-Gen Tensor Cores delivering 14 TFLOPS FP32 and 112 TFLOPS deep learning performance for AI training, inference, HPC, and scientific computing workloads
- 32GB HBM2 ECC Memory — 900 GB/s Bandwidth — High-bandwidth memory on a 4096-bit bus with ECC error correction provides the memory capacity and throughput required for the largest AI models, simulations, and datasets
- PCIe 3.0 x16 Interface — 250W TDP — Standard PCIe Gen3 connectivity with passive cooling designed for enterprise rack server deployment in HPE ProLiant, Dell PowerEdge, and Supermicro platforms with adequate chassis airflow
- NVLink — Scale to 96GB Unified Memory — Connect two V100 GPUs via NVLink at 300 GB/s bi-directional bandwidth to scale GPU memory from 32GB to 96GB for larger AI training and HPC workloads
- Multi-Precision Computing — Supports FP64 (7 TFLOPS), FP32 (14 TFLOPS), FP16 (112 TFLOPS) and INT8 precision modes for flexible deployment across training, inference, and scientific simulation workloads
Crescent Island: a separate inference GPU
Crescent Island is a different Intel data-center GPU, not another name for Falcon Shores or Jaguar Shores. Intel announced it on October 14, 2025, as a GPU designed for AI inference and initially listed 160GB of LPDDR5X memory, with customer sampling expected in the second half of 2026. Intel’s initial Crescent Island announcement described that plan at the time; sampling plans can change.
In an August 24, 2026 announcement, Intel described Crescent Island as its next-generation data-center GPU optimized for inference, listing up to 480GB of LPDDR5X memory and a 350-watt air-cooled PCIe card. Those are Crescent Island details, not specifications for Falcon Shores or Jaguar Shores. Intel’s 2026 architecture announcement gives the later figures.
Rank #2
- Professional AI & Creator Workstation: AMD Radeon AI PRO R9700 GPU with 32GB GDDR6 is engineered for AI development, professional content creation, and compute-intensive workloads.
- Massive 32GB Memory Capacity: 32GB of GDDR6 memory on a 256-bit bus provides ample bandwidth for large AI models, 8K video editing, and complex 3D rendering.
- Advanced RDNA 4 with AI Accelerators: 64 Compute Units with 3rd Gen Ray Tracing and dedicated 2nd Gen AI Accelerators for groundbreaking AI performance and visual computing.
- Professional Blower Cooling: Efficient single blower design exhausts heat directly out of the chassis, ideal for multi-GPU workstation and server configurations.
- Enterprise-Grade Thermal Solution: Vapor chamber heatsink with industrial Honeywell PTM7950 thermal interface material ensures reliable cooling under sustained professional loads.
| Product | Role and workload | Market status in Intel’s cited materials |
|---|---|---|
| Falcon Shores | AI accelerator developed to succeed Gaudi | Intel says it will be used internally as a test chip rather than brought to market. |
| Jaguar Shores | Intended generally programmable GPU AI accelerator | Development focus; launch timing, final specifications, and commercial availability are not confirmed. |
| Crescent Island | Data-center GPU optimized for AI inference | Announced for future customer sampling; Intel’s announcements list changing plans and specifications. |
How does this fit Intel’s AI accelerator strategy?
Intel’s filing presents its data-center AI approach as a system-level effort, rather than a single-chip roadmap. It describes a portfolio spanning Xeon processors, Gaudi processors, software, developer tools, frameworks, networking, memory, and open standards. The Falcon Shores decision changes the path for one accelerator; the filing does not say Intel is abandoning AI hardware or the broader platform strategy.
The same filing says Gaudi 3 launched in 2024 and reports $922 million in Gaudi AI accelerator inventory-related charges. That is relevant business context, but Intel does not say those charges caused the Falcon Shores decision. Its stated rationale for using Falcon Shores internally is customer feedback.
Quick Recap
Best Value
- 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.
- Dedicated Support: Please contact us directly through Amazon for any product questions or assistance you may require.
- 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.
Rank #4
- Built for Running LLMs Locally: RDNA 4, 128 AI Accelerators, up to 1,531 TOPS (INT4) for fast inference and fine-tuning
- 32GB GDDR6 VRAM for Large AI Models: 256-bit, up to 640GB/s bandwidth, run large language and multi-modal AI models without offloading
- Multi-GPU Scaling for Local AI Clusters: PCIe 5.0 and 2-slot design support dense multi-GPU builds for local AI training and inference clusters
- Diecast Shroud and Backplate: Wave-pattern design cuts memory temperature by up to 16%, keeping clocks steady during long AI training runs
- Phase-Change GPU Thermal Pad: Delivers superior thermal conductivity for consistent performance and longevity under heavy AI loads
Rank #3
- 48GB AI graphics accelerator
What the announcements do—and don’t—establish
- Falcon Shores is not being brought to market, according to Intel’s filing.
- Jaguar Shores is the development focus Intel identified for a future generally programmable GPU AI accelerator offering, but the cited materials do not confirm when it will launch or what its final configuration will be.
- Crescent Island is a separate inference-focused GPU with announced specifications and sampling plans. Those plans and figures should not be transferred to either Falcon Shores or Jaguar Shores.
- The announcements provide no like-for-like benchmark results that would support a performance comparison among these products.
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
