AMD’s new X100 chip lineup puts embedded Ryzen AI ‘Strix Halo’ chips into robots – APUs for physical AI bring Zen 5 CPU, RDNA 3.5 GPU cores to compete with Inte

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works .

There are three SKUs that align with the three original Strix Halo models (not the updated versions with 40 CUs). The top-end X199 comes with 16 Zen 5 cores and 40 RDNA 3.5 CUs. The X188 steps down to 12 cores and 32 CUs, while the X168 comes with eight cores and the same 32 CUs. AMD hasn’t shared detailed specifications for each model, but the company says the range goes up to a 5.1 GHz boost clock and 128 GB of unified memory. They also include an XDNA 2 NPU with up to 50 TOPS, a configurable TDP between 45W and 120W, and operating temperature between -40 degrees Celsius up to 105 degrees.

(Image credit: AMD) (Image credit: AMD) (Image credit: AMD) Image 1 of 3 View Original

AMD’s range bites back at Intel, which launched a range of Panther Lake SoCs for physical AI at the beginning of the year. Both make an argument for SoCs in robotics, reducing latency when the CPU, AI accelerator, and memory are fragmented across separate chips. The X100 range is just physically larger than Panther Lake, packing much more silicon on the SoC for more powerful deployments.

The company shared a range of benchmarks comparing the flagship X199 against Intel’s Core Ultra X7 358H, a 16-core chip with Intel’s Arc B390 iGPU that has 12 Xe3 cores. AMD claims a lead of 1.2X and 1.3X, respectively, in GeekBench 6.1 and PassMark, as well as 1.5X in an unofficial SPECrate 2017 run looking at integer workloads. In graphics, AMD unsurprisingly takes the edge with 1.4X faster Vulkan and 1.7X faster OpenGL performance (both measured with GFXBench 5 on Ubuntu), as well as a 1.6X lead in Unigine Heaven Extreme.

On the physical AI front, AMD claims a 1.4X improvement in Time to First Token (TTFT) and 3.5X faster tokens per second in Llama-bench, with a Vulkan backend running at a 45W TDP. These results need a massive dash of salt, however.

AMD Ryzen AI Max 400 ‘Gorgon Halo’ packs up to 192GB of unified memory

Key considerations

• Investor positioning can change fast
• Volatility remains possible near catalysts
• Macro rates and liquidity can dominate flows

Reference reading

• https://www.tomshardware.com/pc-components/cpus/SPONSORED_LINK_URL
• https://www.tomshardware.com/pc-components/cpus/amds-new-x100-chip-lineup-puts-strix-halo-into-robots-apus-for-physical-ai-bring-zen-5-cpu-rdna-3-5-gpu-cores-to-compete-with-intels-panther-lake#main
• https://www.tomshardware.com/subscription

More on this site

• Intel and AMD sign long-term server CPU deals with Chinese customers as prices jump over 40%, report claims — agreements purportedly guarantee purchase volumes
• Built for Vera Rubin, NVIDIA Spectrum-6 Arrives in Gigascale AI Factories
• Jensen Huang argues American companies should be allowed to use Chinese AI models — Nvidia CEO says backdoors connected to China are misconceptions
• At AI Summit, South Korea Outlines Its AI Future With NVIDIA and Partners
• AMD’s new X100 chip lineup puts embedded Ryzen AI 'Strix Halo' chips into robots – APUs for physical AI bring Zen 5 CPU, RDNA 3.5 GPU cores to compete with Inte

Informational only. No financial advice. Do your own research.