NVIDIA DGX Spark

NVIDIA GB10 Grace Blackwell Superchip ve 128GB LPDDR5x bellek ile petaflop seviyesinde yapay zeka iş yüklerini kompakt bir masaüstünde çalıştırıyor. 4TB NVMe depolama, 10G Ethernet ve 200G QSFP112 ağ bağlantılarıyla yüksek hızlı veri aktarımı ve ölçeklenebilirlik sunuyor. Büyük dil modellerini yerelde eğitmek veya çıkarım yapmak isteyen AI araştırmacıları ve geliştiriciler için tasarlanmıştır.

CPU Apple M2
RAM 128 GB
Storage 1 TB
GPU NVIDIA RTX A1000
form factor mini
psu w 240
OS Android 10
NVIDIA DGX Spark desktop
58 Genel Puan
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Özet

The 30-Second Version

A petaflop AI brain in a mini PC body. It's useless for games but a revelation for running massive LLMs locally, just make sure you know Linux and don't overpay.

Pros & Cons

Artılar

  • 128GB unified memory lets you run massive models locally 99th
  • 4TB of fast NVMe storage out of the box 87th
  • Dual 200G QSFP112 ports for serious networking throughput
  • Whisper-quiet and tiny enough to disappear on a desk

Eksiler

  • Useless for gaming or traditional GPU work
  • DGX OS means you better be comfortable in a Linux terminal
  • Reliability scores are worryingly low at the 12th percentile
  • Price swings wildly from $4,679 to an absurd $589,990 depending on the seller

Sahiplerinin görüşleri

The Word on the Street

0.0/5 (0 reviews)
👍 Data science students and AI tinkerers are thrilled to have this much power without cloud dependency.
🤔 Multiple owners stress that Linux proficiency isn't optional, you'll be completely lost without it.
👎 A few early adopters hit thermal issues that forced them to return the unit, hoping for a future fix.

Sahip görüşleri zamanla nasıl değişti

Özel

Müşterilerin değerlendirmelerini gerçekte ne zaman yazdığına göre - ilk övgülerin kalıcı olup olmadığını görün.

Sahip görüşleri zamanla iyileşti
1★2★3★4★5★Q4 '25: 2.3★ · 3 değerlendirmeQ1 '26: 4.4★ · 7 değerlendirmeQ2 '26: 5.0★ · 2 değerlendirme372Q4 '25Q1 '26Q2 '26
Ort. puanMemnun (4-5★)Memnun değil (1-2★)Çubuk yüksekliği = değerlendirme sayısı

Takvim çeyreğine göre gruplanmış, tarihli 12 müşteri değerlendirmesine dayanır. Dönem analizi İngilizcedir.

Kanıtlar

Performance

What surprised us most is how this tiny box handles massive LLMs that would bring a $5,000 gaming rig to its knees. With 128GB of LPDDR5x, you can load 70B parameter models entirely in memory and get usable token generation speeds without touching the cloud. The 4TB NVMe drive is fast enough that even larger models swap in and out without making you wait forever. But don't get it twisted, the raw GPU compute sits in the 59th percentile. For traditional rendering or gaming, this thing is a dud. It's a scalpel for AI inference and fine-tuning, not a sledgehammer for everything else.

Performance Percentiles

CPU 38
GPU 60.8
RAM 98.7
Bağlantı noktaları 87.1
Depolama 51
Güvenilirlik 11.6
Kullanıcı yorumları 6.9

Specifications

Full Specifications

Processor

CPU Apple M2
Cores 20
Frequency 3.3 GHz

Graphics

GPU NVIDIA RTX A1000
Type Discrete
VRAM 8 GB
VRAM Type GDDR6

Memory & Storage

RAM 128 GB
RAM Generation DDR5
Storage 1000 GB
Storage Type SSD

Build

Form Factor mini
PSU 240
Weight 3.1 kg / 6.9 lbs

Connectivity

USB-C Ports 4
USB Ports 4
HDMI 1x HDMI
DisplayPort 1x DisplayPort
Wi-Fi Wi-Fi 7
Bluetooth Bluetooth 5.4
Ethernet 1x Ethernet

System

OS Android 10

vs Competition

There's nothing quite like the DGX Spark in the consumer space, which makes comparisons tough. A Lenovo Legion 34IAS10 or HP Omen GT22 will run circles around it in games and creative apps, but they can't touch its AI memory capacity. The real competitor is a cloud instance. Renting a comparable GPU node with 128GB of VRAM will cost you thousands per month. If you're training or fine-tuning models constantly, the Spark pays for itself in under a year. If you just want to play with Stable Diffusion, a gaming desktop with an RTX 4090 is a much better and cheaper choice.

Spec NVIDIA DGX Spark HP OMEN GT22-3080 Lenovo Legion 90Y6003JUS ASUS Republic of Gamers GM700TZ-BS978 Apple Mac Studio M4 Max MSI MEG Vision X AI VisXAI2NVZ9045
CPU Apple M2 Intel Core Ultra 7 265K Intel Core Ultra 9 AMD Ryzen 9 9950X Apple M4 Max Intel Core Ultra 9
RAM (GB) 128 32 64 64 36 64
Storage (GB) 1000 2048 3072 2048 512 2048
GPU NVIDIA RTX A1000 NVIDIA GeForce RTX 5080 NVIDIA GeForce RTX 5080 AMD Radeon RX 9070 XT Apple M4 Max 32-core NVIDIA GeForce RTX 5090
Form Factor mini mid-tower mid-tower desktop sff mid-tower
Psu W 240 850 1200 850 - 1300
OS Android 10 Windows 11 Pro Windows 11 Pro Windows 11 Home macOS Windows 11 Pro
Compare Compare Compare Compare Compare
Ürün CPUGPURAMBağlantı noktalarıDepolamaGüvenilirlikKullanıcı yorumları
NVIDIA DGX Spark 3860.898.787.15111.66.9
HP OMEN GT22-3080 Compare 9688.978.793.291.570.587.3
Lenovo Legion 90Y6003JUS Compare 97.588.996.491.796.470.584.2
ASUS Republic of Gamers GM700TZ-BS978 Compare 98.879.593.997.291.537.874.2
Apple Mac Studio M4 Max Compare 85.566.469.294.53199.499.9
MSI MEG Vision X AI VisXAI2NVZ9045 Compare 97.590.797.498.291.537.887

Fiyat

Value & Pricing

Value here is a moving target. If you snag this near the $4,679 mark from a reputable seller, it's a steal for an AI researcher who needs a local sandbox. At the other end of the spectrum, nearly six hundred grand is a joke. Check Best Buy first, they seem to have the most grounded pricing. For what this does, the low end of that spread makes it cheaper than a single high-end GPU server with comparable memory bandwidth.

Price History

₹580.000 ₹590.000 ₹600.000 ₹610.000 ₹620.000 30 May19 Tem ₹614.500

Devamını oku

Overview

The NVIDIA DGX Spark is a weird, wonderful beast. It's a petaflop-scale AI supercomputer that sits on your desk and sips power from a 240W brick, and that's genuinely as cool as it sounds. The one thing to know is this isn't a PC. If you're expecting to install Windows, play Cyberpunk, or even have a normal desktop experience, walk away now. This is a dedicated Linux AI appliance packing 128GB of unified memory and a custom Grace Blackwell Superchip, and for the right person, it's an absolute dream.

Common Questions

Q: Can I play games on the DGX Spark?

No, and don't try. The GPU scores in the 59th percentile for a reason. It's built for AI compute, not DirectX. Grab a gaming desktop if you want to play.

Q: Do I need to know Linux to use this?

Absolutely. DGX OS is a custom Linux distribution. If the terminal scares you, this machine will be a very expensive brick. There's no hand-holding GUI here.

Q: What size AI models can this actually run?

With 128GB of unified memory, you can comfortably run 70B parameter models like Llama 3 fully in RAM. You can even stretch to larger models by offloading layers, but expect slower token generation.

Who Should Skip This

If you're looking for a general-purpose desktop, this isn't it. Go get a Dell Tower Plus or an HP Omen instead. If you just want to generate AI images as a hobby, a gaming PC with a 16GB GPU will serve you better for half the price. The Spark is for developers and researchers who need to train or fine-tune locally, not for casual users.

Verdict

Buy the DGX Spark if you know exactly which models you want to run locally and you're tired of cloud bills. It's a specialized instrument for AI developers and data science students who live in a terminal. For everyone else, this is an expensive paperweight. The low reliability score gives us pause, so maybe wait for a hardware revision if you're not in a rush. But if you need a personal AI server right now and find it under five grand, pull the trigger.

Usage Scores

Genel (57.7)AI/LLM (68.5)Oyun (52)Taşınabilirlik (55.4)İçerik üretimi (50.4)İş (46.7)Geliştirme (56.2)Home Office (53.3)Workstation (51.1)

Diğer yapılandırmalar4

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