# Nvidia DGX Spark 64GB: $4,999 Local AI Box On Sale Oct. 23

Times of AI Desk · 2026-10-02 · Infrastructure

[https://timesof.ai/2026/10/nvidia-dgx-spark-64gb](https://timesof.ai/2026/10/nvidia-dgx-spark-64gb)

> Nvidia’s October 2 blog says a 64GB unified-memory DGX Spark configuration — same GB10 Grace Blackwell Superchip, DGX OS, and Nvidia AI stack as the higher-memory SKU — goes on sale Friday, Oct. 23 from Acer, ASUS, Dell, Gigabyte, HP, and MSI, starting at $4,999. Nvidia says it supports up to 100-billion-parameter models on device; two units can pool to 128GB. The up-to-1.7x cluster figure is Nvidia’s own Qwen 3.8 27B test.

**Correction, October 14, 2026:** We removed an unsupported description of the 64GB configuration as a cheaper tier. Its price relative to the 128GB model has not been verified.

Local agent hardware just got a **lower-memory configuration** — priced by Nvidia, timed for late October, with cluster claims that are still a single lab test.

**Nvidia**, in an **October 2, 2026** blog by **Allen Bourgoyne**, says **DGX Spark** will be available with **64GB of unified memory** starting **Friday, Oct. 23**, from **Acer, ASUS, Dell, Gigabyte, HP, and MSI**, **starting at $4,999**. The 64GB SKU keeps the **GB10 Grace Blackwell Superchip**, **DGX OS**, and full **Nvidia AI software stack**. Nvidia says it supports **up to 100-billion-parameter** models on device. Two units can connect via built-in **ConnectX-7** networking and **Nvidia Sync Cluster Assistant**, pooling memory to **128GB** and expanding support to **up to 200 billion parameters**.

## Claims vs checks

In **Nvidia’s Qwen 3.8 27B test**, two clustered 64GB systems delivered **up to 1.7×** the performance of one system. That is a **single vendor test on one model** and does not establish a general speedup. Street pricing relative to the 128GB SKU and independent local-inference benchmark results are **not verified here**.

## Limits

- This account relies on Nvidia’s blog; independent pricing and third-party cluster performance are not verified here.
- **1.7×** is Nvidia’s own Qwen 3.8 27B cluster result, not a general speedup claim.
- Parameter ceilings (100B / 200B) and OEM list are company-stated.
- Independent Elo or Artificial Analysis rankings are not verified here.

## Sources

- [Nvidia Blog: DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI (October 2, 2026)](https://blogs.nvidia.com/blog/local-ai-dgx-spark-64gb-sync/)