AMD

AMD Ryzen AI Max+ 395

Sixteen-core Zen 5 processor with an XDNA 2 NPU rated above 50 TOPS and up to 128 GB of unified memory.

Compact desktop AI machine on a dark workbench

Overview

Ryzen AI Max+ 395 combines sixteen Zen 5 CPU cores, RDNA 3.5 graphics with up to forty compute units and the XDNA 2 NPU. Up to 128 GB of unified memory, of which up to 112 GB can be allocated to the GPU, makes it a practical single-box platform for running larger local models.

Typical use cases

  • Local large model inference
  • Creative and engineering workstations
  • On-premise prototyping

Deployment environment

Mobile workstation, mini PC or compact desktop

Key specifications

NPU
XDNA 2, more than 50 peak AI TOPS
CPU
16-core Zen 5, 32 threads, up to 5.1 GHz boost
GPU
RDNA 3.5, up to 40 compute units
Memory
Up to 128 GB unified, up to 112 GB allocatable to the GPU
Form factor
Laptop and small desktop APU
Software
AMD Ryzen AI Software, ONNX Runtime

Specifications taken from current manufacturer documentation and last checked on 2026-09-08.

Source: manufacturer documentation

Specifications are summarised from publicly published manufacturer material and are provided for orientation only. Always confirm current figures directly with the manufacturer before purchasing or designing in.

Compact desktop AI supercomputer beside a monitor in a dim studio
NVIDIA

NVIDIA DGX Spark

Desktop AI system built on the GB10 Grace Blackwell Superchip with 128 GB of unified memory in a 150 mm chassis.

AI performance
Up to 1,000 TOPS inference, up to 1 PFLOP FP4 (sparse)
Processor
NVIDIA GB10 Grace Blackwell Superchip, 20-core Arm CPU (10× Cortex-X925, 10× Cortex-A725)
GPU
Blackwell GPU, 6,144 CUDA cores, 5th-gen Tensor cores
Deployment
Desk-side development environment or small on-premise lab
Local large model inference
Model fine-tuning
Robotics and vision development
Professional AI workstation tower beside two monitors in a dim studio
Lenovo

Lenovo ThinkStation PX

Dual-socket workstation supporting up to 128 CPU cores and four NVIDIA RTX 6000 Ada GPUs for local model work.

CPU
Dual 5th Gen Intel Xeon Scalable, up to 128 cores in total
GPU
Up to 4× NVIDIA RTX 6000 Ada Generation
Expansion
Up to 9 PCIe slots
Deployment
Office, lab or on-premise engineering environment
Model fine-tuning
Local LLM inference
Dataset preparation and simulation