With AI being the trend of the year, the demand for it is also growing in all spheres. Silicon makers are trying to keep up with the demand by offering them chipsets to sustain their needs. We have three new AI chips: the AMD Ryzen AI 300, Intel Lunar Lake, and the Qualcomm Snapdragon X Elite. All of these three chipsets are built to cater to the AI needs. I feel that this is the perfect time to take a look into AI chip battle. Let’s start.
Coming straight to the point, the AMD Ryzen AI 300 series includes Zen 5 CPU cores and RDNA 3.5 graphics. It offers an impressive 50 TOPS from their XDNA 2 Neural Processing Unit (NPU). Hence, this chipset is pretty great for AI demands and will also support the upcoming Copilot+ features in Windows 11.
The Intel Lunar Lake, on the other hand, is based on the traditional INT 8 data type. It has 3X the number of tiles or neural compute engines compared to Intel’s previous Meteor Lake NPU. It delivers 48 TOPS. This means that it sits back when compared to the AMD Ryzen AI 300. It can be easily used in situations like in AI neural networks, such as those used in Large Language Models like ChatGPT.
And finally, the Qualcomm Snapdragon X Elite. It has a Hexagon NPU and scored 45 TOPS. It is more suited for jobs such as AI computing, including AI assistants and document management.
Also read: Nvidia unveils ‘world’s most powerful’ AI chip: All details here
If we compare all three, the AMD Ryzen AI 300 has the best TOPS score of 50, followed by Intel Lunar Lake and Qualcomm Snapdragon X Elite. Both the AMD Ryzen AI 300 and Intel Lunar Lake have great AI capabilities, but AMD has slightly better TOPS. It has gaming capabilities with AMD Radeon™ 800M Series graphics.
To conclude both AMD Ryzen AI 300 and Intel Lunar Lake offer impressive AI capabilities, with AMD slightly edging out in terms of TOPS. Each chip has its unique strengths, and the choice depends on specific requirements and preferences.
