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RUNLOCALAI · v38
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  4. /NVIDIA RTX Spark
UNIT · NVIDIA · SOC
128 GB UNIFIEDworkstation·Reviewed June 2026

NVIDIA RTX Spark

NVDA · HARDWARE
NVIDIA RTX Spark

No editorial image yet — generic vendor mark shown. Credentials in spec table below.

The NVIDIA RTX Spark is a consumer PC SoC (Arm CPU + Blackwell GPU, co-developed with MediaTek) with up to 128GB of unified LPDDR5X memory shared between CPU and GPU. NVIDIA states it can run ~120B-parameter LLMs at up to 1M-token context. It ships inside OEM systems (laptops and compact desktops from ASUS, Dell, HP, Lenovo, Microsoft Surface, and MSI) in Fall 2026. As of mid-2026 NVIDIA has published no official pricing or memory-bandwidth figure for RTX Spark; press analyst estimates (~$1,800-$2,900) and a ~300 GB/s bandwidth figure are unofficial and unverified. Note: RTX Spark (consumer Windows SoC) is a different product from the DGX Spark (GB10 Ubuntu AI appliance).

Released 2026
RUNLOCALAI SCORE
See full leaderboard →
161/ 1000
DD-tier
Estimated
Throughput
0/ 500
VRAM-fit
0/ 200
Ecosystem
200/ 200
Efficiency
30/ 100

Sub-scores sum to 230 / 1000. Headline = 230 × 0.70 (Estimated-confidence discount) = 161. This is an algorithmic performance-tier score — distinct from, and often lower than, the editorial “Our verdict” below, which weighs value and real-world fit (especially for hardware we haven’t measured yet). How scoring works →

Insufficient data — VRAM 0GB, bandwidth ? GB/s.

WORKLOAD FIT
Try other hardware →

Plain-English: Doesn't fit modern chat models usefully — vision models won't fit.

7B chat✗
Doesn't fit
14B chat✗
Doesn't fit
32B chat✗
Doesn't fit
70B chat✗
Doesn't fit
Coding agent✗
Doesn't fit
Vision (≤8B VLM)✗
Doesn't fit
Long context (32K)✗
Doesn't fit
✓Comfortable — fits with headroom
~Tight — works, no slack
△Marginal — needs aggressive quant
✗Doesn't fit usefully

Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.

BLK · OVERVIEW

Overview

The NVIDIA RTX Spark is a consumer PC SoC (Arm CPU + Blackwell GPU, co-developed with MediaTek) with up to 128GB of unified LPDDR5X memory shared between CPU and GPU. NVIDIA states it can run ~120B-parameter LLMs at up to 1M-token context. It ships inside OEM systems (laptops and compact desktops from ASUS, Dell, HP, Lenovo, Microsoft Surface, and MSI) in Fall 2026. As of mid-2026 NVIDIA has published no official pricing or memory-bandwidth figure for RTX Spark; press analyst estimates (~$1,800-$2,900) and a ~300 GB/s bandwidth figure are unofficial and unverified. Note: RTX Spark (consumer Windows SoC) is a different product from the DGX Spark (GB10 Ubuntu AI appliance).

Retailers we'd check:Amazon

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BLK · SPECS

Specs

VRAM0 GB
System RAM (typical)128 GB
Released2026
Backends
CUDA

Frequently asked

Does NVIDIA RTX Spark support CUDA?

Yes — NVIDIA RTX Spark is an NVIDIA card with full CUDA support, the most mature local-AI backend. llama.cpp, Ollama, vLLM, and ExLlamaV2 all run natively.

Where next?

Buyer guides
  • Best GPU for local AI →
  • Best laptop for local AI →
  • Best Mac for local AI →
  • Best used GPU for local AI →
Troubleshooting
  • CUDA out of memory →
  • Ollama running slowly →
  • ROCm not detected →
  • Model keeps crashing →

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.