- AMD Ryzen AI Halo provides 16 CPU cores and 32 threads for AI workloads
- Integrates an NPU alongside Radeon GPU cores for AI tasks
- Ryzen AI Halo offers full ROCm support on Windows and Linux platforms
AMD has confirmed that it will launch its first PC in 2026, named 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 AMD ROCm support and day-one compatibility with AI models.
With up to 128 GB of unified memory and an integrated NPU, the device can handle large generative AI models, although actual performance depends on workload intensity.
Processing architecture and basic specifications
The Ryzen AI Halo processor uses 4nm process technology with boost clocks up to 5.1 GHz.
Cache specifications include 16MB L2 and 64MB L3, while configurable TDP ranges from 45W to 120W depending on system setting.
The processor pairs with a Radeon 8060S graphics card with 40 cores and a maximum frequency of 2900 MHz.
The GPU supports multiple display resolutions, including up to 7680 x 4320 at 60 Hz, 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 displays simultaneously.
The system supports up to 128 GB of LPDDR5x 8000 memory on a 256-bit interface, as well as NVMe boot and RAID storage options supporting RAID0 and RAID1.
Connectivity options include two 40Gbps USB4 ports, 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 at up to 126 TOPS in total, including 50 TOPS from the integrated NPU.
Security features include AMD Enhanced Virus Protection with NX bit.
Ryzen AI Halo is designed to directly compete with Nvidia’s DGX Spark mini PC, a compact AI system targeting similar local AI workloads.
Both systems deliver high-performance computing in compact form factors and support expanded memory capacity for large AI models.
DGX Spark leverages Nvidia’s HGX architecture and CUDA optimized frameworks, while Ryzen AI Halo integrates Radeon NPU and GPU cores 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 overall AI compute rating of 126 TOPS aim to match or exceed the performance of the DGX Spark Mini PC, providing an alternative for institutions seeking local AI experimentation.
However, Nvidia’s DGX Spark mini PC has already established benchmarks and a mature ecosystem, while Ryzen AI Halo will need to demonstrate comparable or superior performance in real-world AI workflows.
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