Head-to-Head Showdown

NVIDIA DGX Spark (GB10, 128GB) vs Next-Gen AI Laptop (Ryzen AI Max+ 395 128GB)

Comparing ARM architecture against x86 for local AI inference. Review generation throughput, memory architecture, and runner compatibility.

Select Any Two Systems to Compare Head-to-Head

System A (Left)

System B (Right)

System A

NVIDIA DGX Spark (GB10, 128GB)

NVIDIA GB10 Grace Blackwell Superchip (20-core Arm CPU + Blackwell GPU)

128 GB MemoryARM~36.2 t/s

System B

AMD Ryzen AI Max+ 395 (Strix Halo 16-core, 40 CU RDNA 3.5)

128 GB Memoryx86~34 t/s

Specification	NVIDIA DGX Spark (GB10, 128GB)	Next-Gen AI Laptop (Ryzen AI Max+ 395 128GB)
Architecture	ARM	x86
Processor	NVIDIA GB10 Grace Blackwell Superchip (20-core Arm CPU + Blackwell GPU)	AMD Ryzen AI Max+ 395 (Strix Halo 16-core, 40 CU RDNA 3.5)
Operating System	DGX OS (Linux)	Linux / Windows
System RAM / Unified Memory	128 GB	128 GB
GPU-Usable Memory (VRAM or unified)	110 GB	96 GB
Memory Bandwidth	273 GB/s	256 GB/s
Memory Type & Bandwidth	Unified LPDDR5X (273 GB/s)	Unified LPDDR5X-8000 (256 GB/s, 256-bit; up to 96GB assignable to GPU on Windows)
NPU Acceleration (TOPS)	Not listed	50 TOPS
Small models (3–7B)	Yes (Compatible)	Yes (Compatible)
8B models (Qwen3 8B)	Yes (Compatible)	Yes (Compatible)
Estimated 8B Generation Speed	~36.2 t/s	~34 t/s
Recommended Max Context	128k tokens	128k tokens
Power Consumption Envelope	up to 240W	45-120W

The buying and sizing guides that explain the numbers above.