NVIDIA DGX SPARK, 128GB

BUY NOW AT NVIDIA →

product: NVIDIA DGX Spark, 128GB
category: Workstations
brand: NVIDIA
memory: 128GB unified · 273 GB/s [2]
notes: Founders Edition / 128GB configuration. An official dollar price was not present on the NVIDIA product page or the October 2025 shipping press release when checked, Prices come from Wayback snapshots of the NVIDIA Marketplace DGX Spark 4TB listing.
price:
  now: $6,950 (NVIDIA, official list, 2026-10-10) [1] BUY NOW AT NVIDIA →
  since_first: UP 74% SINCE NOV 17, 2025
  first_record: 2025-11-17 (price in the paid export)
  change:
    1d: —
    7d: —
    14d: —
    30d: =0.0%
    90d: —
    180d: —
  price_hikes: 2 since Nov 2025
  availability: oos

UP 74% SINCE NOV 17, 2025 — now $6,950. BUY NOW AT NVIDIA →
OUT OF STOCK AT MAKER (last check)
2 PRICE HIKES SINCE NOV 2025
LATEST STEP UP: +$2,251 (+47.9%), FIRST SEEN OCT 10, 2026

PRICE TREND (shape since first record)

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               2025-11-17                                        2026-11-13
               █ recorded price  ░ gap between records · shape only; past prices are in the paid export

PRICE HISTORY (last 7 days)

no price recorded in the last 7 days; the current price above is the latest record

19 older records back to Nov 17, 2025 (every price, date and source) are in the paid export (YAML / CSV).

PAIRS WELL WITH (add-ons, not price-tracked · all peripherals)
APC Back-UPS Pro 1500VA (BR1500MS2):
  why: Keeps a long run or a model download alive through a short outage.
  buy: BUY ON AMAZON →
Logitech MX Keys S keyboard:
  why: Multi-device keyboard for a headless AI box plus a laptop.
  buy: BUY ON AMAZON →
Logitech MX Master 3S mouse:
  why: Multi-device mouse that switches between three computers.
  buy: BUY ON AMAZON →
OWC Thunderbolt 10G Ethernet adapter:
  why: 10GbE to a NAS so model files load fast, on machines without built-in 10GbE.
  buy: BUY ON AMAZON →

CAN RUN — LOCAL MODELS THAT FIT

memory: 128GB unified · usable for models ≈ 96 GB (rule)
bandwidth: 273 GB/s [2]
largest_fit: Nemotron 3.5 Super 120B Q4_0
fits: 29 of 33 model files (excluding the Llama 2 7B reference)
note: fit = weights + KV cache at 8,192 tokens + 10% runtime overhead
Nemotron 3.5 Super 120B-A12B (MoE)Q8_0128.5 GB141.4 GB [3]nono published run
Nemotron 3.5 Super 120B-A12B (MoE)Q4_072.1 GB79.4 GB [3]YESno published run
gpt-oss 120B (MoE)MXFP463.4 GB70.0 GB [5]YES58.7 tok/s tg32 [4]
Llama 4 Scout 109B-A17B (MoE)Q8_0114.5 GB127.6 GB [6]TIGHTno published run
Llama 4 Scout 109B-A17B (MoE)Q4_K_M65.4 GB73.5 GB [6]YESno published run
Nemotron 3.5 Bolt 74B-A9B (MoE)BF16148.2 GB163.1 GB [7]nono published run
Nemotron 3.5 Bolt 74B-A9B (MoE)Q8_078.9 GB86.8 GB [7]YESno published run
Nemotron 3.5 Bolt 74B-A9B (MoE)Q4_K_XL50.2 GB55.3 GB [7]YESno published run
Llama 3.3 70Bf16141.1 GB157.9 GB [8]nono published run
Llama 3.3 70BQ8_075.0 GB85.2 GB [8]YESno published run
Llama 3.3 70BQ4_K_M42.5 GB49.5 GB [8]YESno published run
OLMo 3.1 32Bbf1664.5 GB72.3 GB [9]YESno published run
OLMo 3.1 32BQ8_034.3 GB39.0 GB [9]YESno published run
OLMo 3.1 32BQ4_K_M19.5 GB22.8 GB [9]YESno published run
Nemotron 3.5 Lightning 30B-A3B (MoE)BF1663.2 GB69.5 GB [10]YESno published run
Nemotron 3.5 Lightning 30B-A3B (MoE)Q8_033.6 GB37.0 GB [10]YESno published run
Nemotron 3.5 Lightning 30B-A3B (MoE)Q4_018.9 GB20.8 GB [10]YESno published run
Gemma 4 31BBF1661.4 GB69.1 GB [11]YESno published run
Gemma 4 31BQ8_032.6 GB37.4 GB [11]YESno published run
Gemma 4 31BQ4_K_M18.3 GB21.7 GB [11]YESno published run
Granite 4.2 30Bbf1658.6 GB66.6 GB [12]YESno published run
Granite 4.2 30BQ8_031.1 GB36.4 GB [12]YESno published run
Granite 4.2 30BQ4_K_M17.7 GB21.6 GB [12]YESno published run
Gemma 4 26B-A4B (MoE)BF1650.5 GB55.9 GB [13]YESno published run
Gemma 4 26B-A4B (MoE)Q8_026.9 GB29.9 GB [13]YESno published run
Gemma 4 26B-A4B (MoE)Q4_K_M16.9 GB19.0 GB [13]YESno published run
gpt-oss 20BMXFP412.1 GB13.5 GB [14]YES83.4 tok/s tg32 [4]
Phi-4 14BF1629.3 GB33.9 GB [15]YESno published run
Phi-4 14BQ8_015.6 GB18.8 GB [15]YESno published run
Phi-4 14BQ4_K_M8.9 GB11.5 GB [15]YESno published run
Gemma 4 12BBF1623.8 GB26.7 GB [16]YESno published run
Gemma 4 12BQ8_012.7 GB14.4 GB [16]YESno published run
Gemma 4 12BQ4_K_M7.1 GB8.3 GB [16]YESno published run
Llama 2 7B (llama.cpp reference benchmark model)Q8_07.2 GB12.2 GB [17]YESno published run
Llama 2 7B (llama.cpp reference benchmark model)Q4_03.8 GB8.5 GB [17]YES58.5 tok/s tg128 [18]

WHERE TO BUY

official: BUY NOW → NVIDIA
retailers: not tracked yet (partner programs pending)
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SOURCES

Current sources only. Every older price point and its source is in the paid export.

#whatsourcefetched
[1]DGX Spark 128GB $6,950 on 2026-10-10 — Wayback snapshot 20261010 of https://marketplace.nvidia.com/en-us/en...web.archive.org/web/20261010092344/marketplace.nvidia.com/en-us/ent...2026-11-13
[2]NVIDIA: 'Memory Bandwidth 273 GB/s'www.nvidia.com/en-us/products/workstations/dgx-spark/2026-11-13
[3]Nemotron 3.5 Super 120B-A12B (MoE): GGUF sizes + config.json (KV cache at 8k)huggingface.co/ggml-org/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-GGUF2026-11-13
[4]ggml-org DGX Spark bench, build 7941, depth 0github.com/ggml-org/llama.cpp/blob/master/benches/dgx-spark/dgx-spa...2026-11-13
[5]gpt-oss 120B (MoE): GGUF sizes + config.json (KV cache at 8k)huggingface.co/ggml-org/gpt-oss-120b-GGUF2026-11-13
[6]Llama 4 Scout 109B-A17B (MoE): GGUF sizes + config.json (KV cache at 8k)huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF2026-11-13
[7]Nemotron 3.5 Bolt 74B-A9B (MoE): GGUF sizes + config.json (KV cache at 8k)huggingface.co/unsloth/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-GGUF2026-11-13
[8]Llama 3.3 70B: GGUF sizes + config.json (KV cache at 8k)huggingface.co/bartowski/Llama-3.3-70B-Instruct-GGUF2026-11-13
[9]OLMo 3.1 32B: GGUF sizes + config.json (KV cache at 8k)huggingface.co/bartowski/allenai_Olmo-3.1-32B-Instruct-GGUF2026-11-13
[10]Nemotron 3.5 Lightning 30B-A3B (MoE): GGUF sizes + config.json (KV cache at 8k)huggingface.co/ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF2026-11-13
[11]Gemma 4 31B: GGUF sizes + config.json (KV cache at 8k)huggingface.co/unsloth/gemma-4-31B-it-GGUF2026-11-13
[12]Granite 4.2 30B: GGUF sizes + config.json (KV cache at 8k)huggingface.co/ibm-granite/granite-4.2-30b-GGUF2026-11-13
[13]Gemma 4 26B-A4B (MoE): GGUF sizes + config.json (KV cache at 8k)huggingface.co/unsloth/gemma-4-26B-A4B-it-GGUF2026-11-13
[14]gpt-oss 20B: GGUF sizes + config.json (KV cache at 8k)huggingface.co/ggml-org/gpt-oss-20b-GGUF2026-11-13
[15]Phi-4 14B: GGUF sizes + config.json (KV cache at 8k)huggingface.co/unsloth/phi-4-GGUF2026-11-13
[16]Gemma 4 12B: GGUF sizes + config.json (KV cache at 8k)huggingface.co/unsloth/gemma-4-12b-it-GGUF2026-11-13
[17]Llama 2 7B (llama.cpp reference benchmark model): GGUF sizes + config.json (KV cache at 8k)huggingface.co/TheBloke/Llama-2-7B-GGUF2026-11-13
[18]Vulkan scoreboard row 'Nvidia GB10'github.com/ggml-org/llama.cpp/discussions/108792026-11-13