NVIDIA
NVIDIA DGX Spark Founders Edition (128GB, 4TB)
New · Configured system · check included parts
Price unknown
No fresh confirmed in-stock offer right now.
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Chassis shown; installed storage not visible; verify exact configuration. The catalog 4 TB identity is established independently of this photo.
Photo: Daniel Lu (User:dllu) · Source · CC BY-SA 4.0
Commons resized preview; no other image changes.
Hardware at a glance
- Chip
- GB10
- Memory
- 128 GB
- Memory type
- LPDDR5X unified
- Memory bandwidth
- 273 GB/s
- Storage
- 4000 GB
- Catalog release status
- available
Nominal memory and bandwidth are specifications, not usable model memory or measured inference speed. Release status does not establish retailer stock.
Manufacturer specificationsAll retailer offers · New
A low price qualifies for the primary action only with fresh evidence and confirmed online stock. Unknown stock stays unconfirmed.
No display-permitted retailer offers are available. Stock is unknown. Set an alert below or check the manufacturer’s specifications.
Check Micro Center directly
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Stores & data checked
Coverage is limited to the permitted source records below for this configuration. Check times describe source observations; a daily feed is not a live store inventory check.
No permitted retailer price or stock records were returned. Availability at unlisted stores is unknown.
Micro Center links are checked by you on the retailer’s site. A store without a displayed record has no confirmed price or stock here.
Price unknown
New · No confirmed offer
Software & configuration checks
Guidance checked 2026-10-22 · verify current driver and runtime versions
DGX OS / Linux Arm64; check the OEM image
CUDA / PyTorch / llama.cpp / Ollama
Use GB10-compatible Arm64 builds and containers; x86 desktop binaries are not interchangeable.
- Check the exact configuration includes storage, cooling, power supply and the required OS.
- Check storage expansion, networking, operating power and cooling for the intended workload.
- Memory capacity does not certify model support or inference speed. Check the model, quantization, context and runtime version.
- Multiple GPUs or machines are not a transparent pooled-memory device; splitting support and link bandwidth matter.
- Unified memory is shared with the OS and applications; use measured accelerator-accessible capacity after reserving headroom.
- Compare complete configured prices; barebones systems may exclude SSD, OS or cooling.
Estimate inference memory
Use the total model parameters, including all MoE experts. Enter measured free accelerator memory after OS and application use, in one supported memory pool. Catalog capacity is not usable memory.
Observed price history · New
Not enough retained observations to show a trend yet. Tracking starts when a permitted source records prices; no long-term low or buying verdict is available.
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