Samsung Exynos 2400: Space-Grade AI Chip Performance & Procurement Guide
Official Release and Market Dynamics of the Samsung Exynos 2400
Samsung Electronics officially released the Samsung Exynos 2400 mobile processor (SoC) in October 2023. The chip will first be featured in the Galaxy S24 series, which will be launched in 2024. As Samsung's latest flagship in-house chip development, the Exynos 2400 marks a major breakthrough for Samsung in high-performance computing and AI inference.
The Exynos 2400 utilizes a 4nm LPP (Low Power Plus) process and features a 10-core CPU architecture, including one Cortex-X4 super-core, two Cortex-A720 large cores, three Cortex-A720 medium cores, and four Cortex-A520 small cores. Its integrated Xclipse 940 GPU, based on the AMD RDNA3 architecture and supporting hardware ray tracing, represents the first mobile chip to achieve desktop-class GPU capabilities.
Since its release, the Exynos 2400 has become a key component of Samsung's flagship smartphone and selected high-end embedded device supply chains. Starting in the second half of 2024, some AI edge modules and aerospace-grade data acquisition terminals will also begin testing the chip, highlighting its potential in applications ranging from mobile to industrial and aerospace.
Samsung Exynos 2400 Expands Applications in Aerospace and Embedded AI
While the Samsung Exynos 2400 was initially positioned as a flagship mobile phone chip, its high energy efficiency and multi-core AI processing capabilities make it well-suited for aerospace and industrial embedded applications.
Aerospace Remote Sensing Edge Computing: The Exynos 2400 features a built-in Neural Processing Unit (NPU), which can perform image recognition and compressed inference tasks while maintaining low power consumption, making it suitable for fast edge pre-processing of satellite imagery data.
Satellite Communication and Navigation Terminal: It supports 5G NR and GNSS multi-band positioning, enabling high-precision positioning and real-time data transmission in ground receiving stations or small satellite ground modules.
AI Semantic Reasoning and Autonomous Decision-Making System: The Exynos 2400's NPU delivers up to 17 TOPS of AI performance, enabling it to execute complex autonomous space mission models without the need for external accelerators.
In some research projects, the Exynos 2400 has been used in space environment monitoring units and edge AI test payloads to verify the stability of the energy-efficient SoC under space temperature and radiation conditions.
Technical Upgrades of the Samsung Exynos 2400 Compared to the Previous Version (Exynos 2200)
| Technical Comparison Items | Exynos 2400 2400 | Exynos 2200Exynos 2200 | Upgrade range |
|---|---|---|---|
| CPU architecture | 10 cores (X4+A720+A520) | 8 cores (X2+A710+A510) | +25% multi-core performance |
| GPU architecture | Xclipse 940 (RDNA3) | Xclipse 920 (RDNA2) | +46% graphics performance |
| AI NPU performance | 17 TOPS17 Tops | 8 TOPS | +112% AI inference capability |
| Process technology | 4nm LPP | 4nm LPE 4nm LPE | Power consumption reduced by approximately 20% |
| Memory support | LPDDR5X / UFS 4.0 | LPDDR5 / UFS 3.1 | Bandwidth increased by 30% |
Thus, the Samsung Exynos 2400 Not only does it achieve a generational leap in computing power, but it also offers comprehensive optimizations in energy efficiency and bandwidth, making it an ideal processor solution for low-power, high-computing scenarios, such as aerospace edge AI modules.
Comparison of the Samsung Exynos 2400 and other flagship SoCs
| Competing Models | Core Count/Architecture | Process Technology | AI Performance (TOPS) | GPU Architecture | Application Focus |
|---|---|---|---|---|---|
| Samsung Exynos 2400Samsung Exynos 2400 | 10 cores (X4 architecture) | 4nm LPP4 nm LPP | 17 | AMD RDNA3 | General-Purpose + AI Edge |
| Qualcomm Snapdragon 8 Gen 3 | 8-core (X4 architecture) | 4nm TSMC | 15 | Adreno 750 | Mobile AI Inference |
| MediaTek Dimensity 9300 | 8-core (all large cores) | 4nm TSMC | 13 | Immortalis G720 | Gaming performance-oriented |
| Apple A17 ProApple A17 Pro | 6 cores | 3nm3 nanometer | 35 | Apple GPUApple GPU | For iOS ecosystem only |
While the Apple A17 Pro boasts slightly higher absolute AI computing power, the Exynos 2400 offers an open architecture and universal embedded usability, making it suitable for cross-system deployment. For aerospace and industrial users, the Samsung Exynos 2400 offers advantages with its flexible I/O and open API ecosystem.
Exynos 2400 Space-Grade Module Procurement Strategies and Advantages
As an electronic component trader, Kingrole provides customers worldwide with genuine Samsung Exynos 2400 sourcing and project support:
✅ Guaranteed Authenticity: Procured directly from Samsung's original manufacturer or authorized channels, with original packaging verification and batch traceability;
✅ Bulk Pricing: Long-term supply agreements and installment payment plans are available for scientific research and aerospace projects;
✅ Modular Delivery: Supports integrated SoC + LPDDR5X + Power Management IC supply, improving system integration efficiency;
✅ Technical Adaptation Service: Assists customers with thermal, power, and firmware optimization testing in aerospace-grade or industrial environments.
✅ Global Logistics: Provides fast delivery channels and compliant export documentation within Europe, America, Asia Pacific, and the Middle East.
With years of industry experience, Kingrole can help customers purchase genuine Samsung Exynos 2400 at the best price and provide aerospace-grade technical support and quality assurance.