Edge Computing & Hardware
Mini PCs, NUCs and single-board machines for inference at the edge: memory, bandwidth, power and price from each manufacturer's own specifications.
8 items · manufacturer-sourced
See the ranked shortlist →Hardware
Apple M4 Max SoC
AudioHigh-fidelity six-speaker sound system with force-cancelling woofers—Color1 billion colors
Apple Mac mini (M6)
CPU12-core—GPU12-core
Apple Mac Studio (M5 Max/Ultra)
CPU36-core—GPUup to 80-core- NVIDIAImage unavailable
Jetson Orin Nano Super Developer Kit
NVIDIA
CPU6-core Arm® Cortex™-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3—GPUNVIDIA Ampere architecture with 1024 CUDA cores and 32 tensor cores 
NVIDIA Vera CPU
NVIDIA
Host CPUNVIDIA Vera delivers system-level efficiency as the host CPU for AI factories, including NVIDIA Vera Rubin NVL72 and HGX™ Vera Rubin NVL8 platforms. Vera feeds GPUs for large-scale AI while running the CPU work that keeps the factory operating, including ETL, key-value (KV) cache management, and orchestration. With high single-threaded performance, massive memory bandwidth, and a single compute die design that avoids cross-chiplet latency, Vera delivers predictable performance while keeping GPUs fully utilized across accelerated AI and HPC systems.—Standalone CPUFor agentic AI, reinforcement learning, data processing, and analytics, NVIDIA Vera delivers leading per-core performance and massive memory bandwidth to run thousands of parallel sandbox environments, tool calls, code executions, evaluation loops, and data workflows. Faster CPU execution means agents wait less, RL systems generate more feedback per training step, and AI factories produce more tokens per dollar. As a standalone CPU platform, Vera also supports hyperscale cloud, enterprise, and HPC workloads and extends to storage infrastructure with NVIDIA Vera BlueField™-4 STX. Available as a dense, liquid-cooled NVIDIA Vera CPU rack or in standard dual- and single-socket configurations, Vera fits any data center.
NVIDIA Vera Rubin NVL72
NVIDIA
FP329,360 TFLOPS | 260 TFLOPS | 130 TFLOPS—FP642,400 TFLOPS | 67 TFLOPS | 33 TFLOPS
Snapdragon X Elite Compute Platform
Npu45 TOPS—Cores12
Snapdragon X2 Series
Npu80 TOPS—ArchitectureARM64