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2026-11-03 09:15 UTC Edge Silicon MAJOR DISPATCH By RECIWO Silicon & Edge AI Desk · 4 min read · Source: GMKtec & Particle Official Datasheets ↗

GMKtec EVO-X2 ($1,799 128GB Ryzen AI Max+ 395 / 96GB UMA VRAM) & Particle Tachyon ($149 5G + 12-TOPS SBC) Edge Comparison

Executive Wire Summary

Comparative silicon and edge-deployment breakdown of the $1,799 GMKtec EVO-X2 (16-core AMD Ryzen AI Max+ 395 mini workstation with 128GB LPDDR5X-8000, up to 96GB UMA VRAM, and 140W dual-fan vapor-chamber cooling) and the $149 Particle Tachyon (credit-card Qualcomm QCM6490 Ubuntu SBC with a 12-TOPS Hexagon 770 NPU and integrated global 5G Sub-6GHz EtherSIM+).

GMKtec EVO-X2 ($1,799 128GB Ryzen AI Max+ 395 / 96GB UMA VRAM) & Particle Tachyon ($149 5G + 12-TOPS SBC) Edge Comparison
#GMKtec EVO-X2#Particle Tachyon#Ryzen AI Max+ 395#Qualcomm QCM6490

⚡ Key Engineering & Supply-Chain Takeaways

  • GMKtec EVO-X2 ($1,799) pairs the 16-core AMD Ryzen AI Max+ 395 (40-CU Radeon 8060S + 50-TOPS XDNA 2 NPU, 126 total TOPS) with 128GB of 256-bit LPDDR5X-8000 memory (~256 GB/s) and a 2TB PCIe 4.0 SSD, unlocking up to 96GB of dedicated UMA VRAM under $1,800.
  • Three hardware-selectable thermal envelopes (54W Silent, 85W Balanced, 140W Max Performance) cooled by a full-coverage vapor chamber sustain multi-thousand-token prompt prefill for local 70B Q8 and 120B Q4 LLMs.
  • Particle Tachyon ($149, 52g, 85×56mm Raspberry Pi footprint) integrates an octa-core Qualcomm Dragonwing QCM6490 SoC, 12-TOPS Hexagon 770 NPU, 4GB RAM, 64GB UFS flash, Li-Ion PMIC, and a global 5G Sub-6GHz cellular modem (2.5Gbps EtherSIM+) for untethered field robotics.

🔬 Technical & Supply-Chain Specification Matrix

GMKtec EVO-X2 128GB ($1,799)AMD Ryzen AI Max+ 395 (16C Zen 5 + 40CU 8060S + 50T NPU) / 54W–140W Vapor Chamber
EVO-X2 Memory & Storage128GB 256-Bit LPDDR5X-8000 (Up to 96GB UMA VRAM) + 2TB PCIe 4.0 NVMe SSD
Particle Tachyon 5G SBC ($149)Qualcomm QCM6490 (8C Kryo 670) + 12-TOPS Hexagon 770 NPU + 4GB RAM / 64GB UFS
Tachyon Field Connectivity & PowerGlobal 5G Sub-6GHz (2.5Gbps EtherSIM+) + Wi-Fi 6E + Li-Ion Battery PMIC + 40-Pin GPIO

$1,799 128GB Strix Halo Desktop Nodes vs $149 5G Autonomous Field SBCs

Official hardware specifications from GMKtec and Particle highlight two complementary edge AI compute tiers:

  1. GMKtec EVO-X2 ($1,799): Combines the AMD Ryzen AI Max+ 395 (126 total TOPS), 128GB LPDDR5X-8000 unified memory (up to 96GB dedicated Radeon 8060S VRAM), and a 140W dual-fan vapor chamber to run 70B–120B local LLMs at the desk.
  2. Particle Tachyon ($149, 85×56mm): Integrates a Qualcomm Dragonwing QCM6490 SoC, 12-TOPS Hexagon 770 NPU, 64GB UFS flash, Li-Ion battery charger, and global 5G Sub-6GHz cellular connectivity (EtherSIM+) onto a credit-card Ubuntu 24.04 board.
Primary Reference / Official Source: GMKtec & Particle Official Datasheets
View Original Source (GMKtec & Particle Official Datasheets) ↗

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GMKtec × AMD In Stock
Edge Compute & DevKits · 128GB Strix Halo · $1,799 Value

GMKtec EVO-X2 Mini AI Workstation (Ryzen AI Max+ 395 128GB Unified)

High-value 128GB unified-memory mini AI workstation powered by the 16-core AMD Ryzen AI Max+ 395 (40-CU Radeon 8060S + 50-TOPS XDNA 2 NPU, 126 total TOPS), supporting up to 96GB UMA VRAM allocation at a 140W peak thermal envelope.

Silicon / SoC AMD Ryzen AI Max+ 395 (16× Zen 5 Cores @ 5.1GHz + 40-CU Radeon 8060S + 50-TOPS XDNA 2 NPU)
AI Model Local 70B–120B LLMs (DeepSeek-R1-70B, Llama-3.3-70B, Qwen-72B) via ROCm, Vulkan & LM Studio
Weight 1.45kg (Compact Desktop Enclosure w/ Dual-Turbine Vapor-Chamber 140W Max Cooling)
Battery External High-Efficiency DC Power Adapter (54W Quiet / 85W Balanced / 140W Performance Modes)
Particle × Qualcomm In Stock
Edge Compute & DevKits · 5G Sub-6 + 12 TOPS · Credit-Card SBC

Particle Tachyon 5G + 12-TOPS Qualcomm QCM6490 Edge AI SBC

Raspberry Pi-sized credit-card Linux single-board computer combining an octa-core Qualcomm Dragonwing QCM6490 SoC and 12-TOPS Hexagon 770 NPU with built-in global 5G Sub-6GHz cellular connectivity (EtherSIM+), Wi-Fi 6E, 4GB RAM, and 64GB UFS flash.

Silicon / SoC Qualcomm Dragonwing QCM6490 (8-Core Kryo 670 @ 2.7GHz + Adreno 643 GPU + 12-TOPS Hexagon 770 NPU)
AI Model On-Device Edge Vision (YOLOv10/v11, ViT), Whisper ASR & Small LLMs via Qualcomm AI Hub
Weight 52.0g (85 × 56mm Raspberry Pi Credit-Card Footprint w/ Integrated 5G/Wi-Fi 6E Antenna)
Battery 5V USB-C PD or Li-Ion Battery Header w/ Integrated PMIC Charger & Fuel Gauge
HP × AMD In Stock
Edge Compute & DevKits · 128GB Unified · 96GB UMA VRAM

HP Z2 Mini G1a Workstation (Ryzen AI Max+ PRO 395 128GB Unified)

2.9-liter enterprise mini workstation powered by the 16-core AMD Ryzen AI Max+ PRO 395 (Zen 5 + 40-CU Radeon 8060S + 50-TOPS XDNA 2 NPU) with 128GB 8533 MT/s LPDDR5X unified memory and up to 96GB dedicated VRAM allocation for local 70B+ LLMs.

Silicon / SoC AMD Ryzen AI Max+ PRO 395 (16× Zen 5 Cores @ 5.1GHz + 40-CU Radeon 8060S + 50-TOPS XDNA 2 NPU)
AI Model Local Llama-3.3-70B, DeepSeek-R1-Distill-70B & Qwen-72B via ROCm 6.4, Vulkan, llama.cpp & LM Studio
Weight 2.3kg (211 × 218 × 69mm / 2.9-Liter Chassis w/ Internal 300W 92%-Efficient Power Supply)
Battery Internal 300W PSU (Configurable 45W–120W+ Sustained APU cTDP w/ Phase-Change Cooling)
Framework × AMD In Stock
Edge Compute & DevKits · 128GB Open x86 AI Node

Framework Desktop (Ryzen AI Max+ 395 128GB)

4.5-liter modular Mini-ITX workstation powered by AMD's 16-core Ryzen AI Max+ 395 ('Strix Halo') APU with a 40-CU Radeon 8060S GPU and 128GB unified LPDDR5X-8000 memory for local 70B–120B LLM execution.

Silicon / SoC AMD Ryzen AI Max+ 395 (16C Zen 5 + 40-CU RDNA 3.5 + 50 TOPS XDNA 2)
AI Model Llama-4-70B / Qwen3-72B / DeepSeek MoE via ROCm 6.4 & llama.cpp
Weight 3.1kg (4.5L Modular Mini-ITX Chassis w/ Noctua Cooling)
Battery Internal 400W 80+ Platinum Flex-ATX PSU (120W–140W Sustained APU TDP)

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GMKtec EVO-X2 (Strix Halo 128GB) vs Particle Tachyon (5G 12-TOPS SBC) vs HP Z2 Mini G1a Comparison: $1,799 96GB VRAM Mini Workstation vs $149 5G Field AI Node

A technical silicon and edge deployment comparison of the GMKtec EVO-X2 ($1,799, 16-core AMD Ryzen AI Max+ 395 mini workstation with 128GB LPDDR5X-8000 unified memory, up to 96GB UMA VRAM allocation, and 140W dual-fan vapor-chamber cooling), Particle Tachyon ($149, Raspberry Pi-sized credit-card Ubuntu SBC with Qualcomm QCM6490, 12-TOPS Hexagon 770 NPU, and integrated global 5G Sub-6GHz EtherSIM+), and HP Z2 Mini G1a ($2,299).

#GMKtec EVO-X2#Particle Tachyon#Ryzen AI Max+ 395#Qualcomm QCM6490#128GB Unified Memory#5G Edge AI SBC
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Framework Desktop (Ryzen AI Max+ 395 128GB) Local LLM Benchmark: AMD Strix Halo vs NVIDIA DGX Spark GB10 vs Mac mini M5 Pro

RECIWO Labs benchmarked the $1,999 4.5L Framework Desktop powered by AMD's 16-core Ryzen AI Max+ 395 ('Strix Halo') and 128GB unified LPDDR5X-8000 memory, comparing ROCm 6.4 token generation and prompt prefill speeds against the $2,999 NVIDIA DGX Spark (GB10) and $1,799 Apple Mac mini M5 Pro.

#Framework Desktop#AMD Strix Halo#Ryzen AI Max 395#Local LLM#NVIDIA GB10#ROCm
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