- AMD Ryzen AI Halo delivers 16 CPU cores and 32 threads for AI workloads
- Integrates an NPU along with Radeon GPU cores for AI tasks
- Ryzen AI Halo offers full ROCm support across Windows and Linux platforms
AMD has confirmed that it will launch its first PC in 2026, called Ryzen AI Halo, a system built around its Ryzen AI Max+ 395 processor with up to 16 Zen 5 CPU cores and 32 threads.
The company describes the device as a reference platform for local AI development, designed to run Windows and Linux with full support for AMD ROCm and day one AI model compatibility.
With up to 128GB of total memory and an integrated NPU, the device can handle large generative AI models, although actual performance will depend on workload intensity.
Processing architecture and core specifications
The Ryzen AI Halo processor uses 4nm process technology with boost clocks of up to 5.1GHz.
Cache specs include 16MB L2 and 64MB L3, while configurable TDP ranges from 45 to 120W depending on system tuning.
The processor is paired with Radeon 8060S graphics with 40 cores and a maximum frequency of 2900MHz.
The GPU supports multiple display resolutions, including up to 7680×4320 at 60Hz, and includes DisplayPort 2.1 with adaptive sync, an HDMI 2.1 interface, and HDR metadata.
With this configuration, the device supports up to four screens simultaneously.
The system supports up to 128GB of LPDDR5x 8000 memory across a 256-bit interface along with NVMe boot and RAID storage options supporting RAID0 and RAID1.
Connectivity options include two USB4 ports at 40 Gbps, three USB 3.2 Gen 2 ports, three USB 2.0 ports, sixteen usable PCIe 4.0 lanes and wireless capabilities.
The system supports advanced AI capabilities rated up to 126 TOPS in total, including 50 TOPS from the integrated NPU.
Security features include AMD Enhanced Virus Protection with NX bit.
The Ryzen AI Halo is designed to compete directly with Nvidia’s DGX Spark mini PC, a compact AI system aimed at similar local AI workloads.
Both systems offer high-performance computing in small form factors and support extensive memory capacity for large AI models.
DGX Spark relies on Nvidia’s HGX architecture and CUDA-optimized frameworks, while Ryzen AI Halo integrates an NPU and Radeon GPU core with full ROCm support.
This approach allows developers to run AI models locally without relying on cloud-managed infrastructure.
Halo’s 128GB LPDDR5x memory capacity and 126 TOPS overall AI compute rating aim to match or exceed DGX Spark mini PC performance, offering an alternative for institutions seeking local AI experiments.
However, Nvidia’s DGX Spark mini PC already has established benchmarks and a mature ecosystem, while the Ryzen AI Halo will need to demonstrate comparable or superior performance in real-world AI workflows.
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