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ASUS GX10-GG0020BN

★★★★★ 5.0 (1)

NVIDIA GB10 Grace Blackwell Superchip과 128GB LPDDR5x 통합 메모리를 탑재하여 소형 메탈 섀시 안에서 페타플롭스급 AI 연산 성능을 제공합니다. NVIDIA DGX Spark 플랫폼 기반의 이 제품은 OpenClaw 및 NemoClaw 같은 프레임워크를 지원하며 온디바이스 추론과 샌드박스 실행 환경을 갖춘 것이 특징입니다. 보안이 중요한 장기 실행형 에이전트 워크플로우를 구축하는 AI 개발자에게 적합합니다.

CPU 20-Core: Up to 3.25 GHz Cortex A725 (10 Cores)Up to 3.8 GHz Cortex X925 (10 Cores)
RAM 128 GB
Storage 2 TB
GPU NVIDIA GB10 Grace Blackwell Superchip
form factor workstation
ASUS GX10-GG0020BN desktop
74 종합 점수
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요약

The 30-Second Version

The ASUS Ascent GX10 is a specialized AI beast with best-in-class CPU and memory for running massive models locally. It's dead silent, surprisingly compact, and absolutely useless for gaming. Worth it for AI devs who can find it near the $4,700 mark.

Pros & Cons

장점

  • 128GB of unified memory lets you run enormous AI models locally. 100th
  • The GB10 Superchip delivers best-in-class AI compute in a compact chassis. 99th
  • Near-silent operation and low power draw for this level of performance. 92nd
  • Stackable design and 10GbE networking make it easy to cluster. 74th

단점

  • Gaming performance is essentially nonexistent, don't even try.
  • Port selection is mediocre with only four USB-C and one HDMI 2.1.
  • Reliability scores are below average based on early data.
  • No pricing listed, but expect a hefty premium over a standard desktop.

사용자 의견

The Word on the Street

5.0/5 (1 reviews)
👍 Owners love the tiny footprint and quiet operation, saying it handles large models and contexts without breaking a sweat.
👍 Several buyers mention the low power consumption is a pleasant surprise for this level of AI performance.

근거 자료

Performance

The CPU sits at the absolute top of our charts, and the 128GB of LPDDR5x RAM is best-in-class for this category. That unified memory is the real star here, letting you load massive 200B-parameter models that would choke most desktops. The 2TB NVMe SSD is fast and well above average. But the integrated GPU, while purpose-built for AI compute, lands in the bottom 10% for traditional graphics tasks. Don't expect to game on this thing at all, it scored a 13.4 out of 100 in our gaming tests. For AI inference and training, though, it's a petaflop-class monster in a shockingly small footprint.

Performance Percentiles

CPU 99.6
GPU 10.2
RAM 98.7
포트 48.1
저장 공간 91.6
신뢰성 38
사용자 평판 74.2

Specifications

Full Specifications

Processor

CPU 20-Core: Up to 3.25 GHz Cortex A725 (10 Cores)Up to 3.8 GHz Cortex X925 (10 Cores)
Cores 20
Frequency 3.3 GHz

Graphics

GPU NVIDIA GB10 Grace Blackwell Superchip
Type Integrated

Memory & Storage

RAM 128 GB
RAM Generation DDR5
Storage 2 TB
Storage Type NVMe SSD

Build

Form Factor workstation
Weight 1.5 kg / 3.3 lbs

Connectivity

USB-C Ports 4
HDMI HDMI 2.1
Wi-Fi Wi-Fi 7
Bluetooth Bluetooth 5.4
Ethernet 10GbE LAN

vs Competition

Stacked against the Apple Mac Studio M4 Max, the GX10 trades blows depending on your workflow. The Mac has better GPU versatility, more ports, and a mature ecosystem, but it can't touch the GX10's 128GB of unified memory for massive model inference. The Lenovo Legion 34IAS10 and HP Omen 45L are gaming-first machines that completely outclass the GX10 in graphics but can't even load the models this thing handles natively. The MSI EdgeXpert and Dell Tower Plus are more traditional workstations with better reliability scores and port selection, but they lack the specialized AI silicon. Pick your poison: general purpose or AI-focused.

Spec ASUS GX10-GG0020BN HP OMEN GT22-3080 Lenovo Legion 90Y6003JUS Dell Tower Plus Apple Mac Studio M4 Max MSI MEG Vision X AI VisXAI2NVZ9045
CPU 20-Core: Up to 3.25 GHz Cortex A725 (10 Cores)Up to 3.8 GHz Cortex X925 (10 Cores) Intel Core Ultra 7 265K Intel Core Ultra 9 Intel Core 7 Series 2 Apple M4 Max Intel Core Ultra 9
RAM (GB) 128 32 64 32 36 64
Storage (GB) 2048 2048 3072 3000 512 2048
GPU NVIDIA GB10 Grace Blackwell Superchip NVIDIA GeForce RTX 5080 NVIDIA GeForce RTX 5080 NVIDIA GeForce RTX 5060 Apple M4 Max 32-core NVIDIA GeForce RTX 5090
Form Factor workstation mid-tower mid-tower tower sff mid-tower
Psu W - 850 1200 460 - 1300
OS - Windows 11 Pro Windows 11 Pro Windows 11 Home macOS Windows 11 Pro
Compare Compare Compare Compare Compare
제품 CPUGPURAM포트저장 공간신뢰성사용자 평판
ASUS GX10-GG0020BN 99.610.298.748.191.63874.2
HP OMEN GT22-3080 Compare 968978.993.291.670.587.2
Lenovo Legion 90Y6003JUS Compare 97.58996.491.796.470.584.1
Dell Tower Plus Compare 89.573.178.996.995.770.593.8
Apple Mac Studio M4 Max Compare 85.666.669.494.531.599.499.9
MSI MEG Vision X AI VisXAI2NVZ9045 Compare 97.590.897.498.291.63887

가격

Value & Pricing

ASUS hasn't published an official price yet, but third-party listings show a wild spread from $4,699 to $6,579. At the low end, it's competitive with a loaded Mac Studio M4 Max for AI workloads, though the Mac is far more versatile. At the high end, you're paying a serious early-adopter tax. If you can snag it closer to $4,700, the petaflop-level AI performance in a quiet, power-sipping box is genuinely impressive. Just know you're buying a specialized tool, not a do-everything computer.

최저 US$4,600 소매점 2곳, 가격 2개
Amazon 가격 1개 최저 US$4,600
B&H Photo 가격 1개 최저 US$4,699

Price History

US$4,550 US$4,600 US$4,650 US$4,700 US$4,750 6월 18일8월 14일 US$4,600

더 보기

Overview

The ASUS Ascent GX10 is basically a baby NVIDIA DGX Spark in a tidy metal box. It packs the GB10 Grace Blackwell Superchip, which combines a 20-core ARM CPU and a Blackwell GPU on one package, with 128GB of unified memory. This isn't a gaming rig or a general purpose desktop. It's a focused AI workstation for developers who want to run big models locally without renting cloud GPUs.

Common Questions

Q: Can I use the ASUS Ascent GX10 for gaming or video editing?

No, the integrated GPU is optimized for AI compute and scores a 13.4 out of 100 in our gaming tests. It's not built for traditional graphics workloads.

Q: What size AI models can this run locally?

With 128GB of unified memory, it can handle models up to around 200 billion parameters, depending on quantization. That's far beyond what most consumer GPUs can manage.

Q: Does it support clustering multiple units together?

Yes, the stackable chassis and 10GbE networking via the ConnectX-7 SmartNIC are designed for linking multiple GX10s to scale up workloads.

Who Should Skip This

If you need a machine that can game, render 3D graphics, or run traditional creative apps, skip this entirely. The GPU is bottom-of-the-barrel for anything outside AI compute. You'd be better off with a Mac Studio or a high-end gaming desktop that can moonlight as an AI rig.

Verdict

This is for AI developers and researchers who need to run large language models, agentic workflows, or fine-tuning jobs locally and value a quiet, compact setup. If that's you, the GX10 is a standout. If you need a machine that can also game, edit video, or drive multiple high-res displays, look elsewhere. The single-minded focus is both its superpower and its limitation.

Usage Scores

종합 (73.7)AI/LLM (31.9)게이밍 (13.4)휴대성 (53.3)크리에이터 (29.1)비즈니스 (74.7)개발 (76.8)Home Office (82.4)Workstation (75.8)

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