NVIDIA GB10 (DGX Spark class): Specs & Local-AI Compatibility
Grace-Blackwell desktop AI platform with ~128GB unified memory — the DGX Spark class.
Some details here are provisional (Platform target). Treat specs as approximate and verify against the manufacturer before relying on them or purchasing.
Specs
- Memory
- 128 GB unified
- Memory type
- Unified LPDDR5X
- Bandwidth
- 273 GB/s
- Approx FP16
- to verify
- Architecture
- Grace Blackwell
- Process
- TSMC
- Power
- 170 W
- Launch
- 2025
Models this chip can run
Open models graded for a single NVIDIA GB10 (DGX Spark class), best fit first.
- CodeLlama 13BCodeLlama · ~13B · 16K ctx · Llama Community License
Fits at FP16 (~26GB) with ~63.6GB headroom — about 3 concurrent instances.
FP16 · ~26GBRuns well - Gemma 3 12BGemma 3 · ~12B · 128K ctx · Gemma Terms of Use
Fits at FP16 (~24GB) with ~65.6GB headroom — about 3 concurrent instances.
FP16 · ~24GBRuns well - Mistral Nemo 12BMistral · ~12B · 128K ctx · Apache-2.0
Fits at FP16 (~24GB) with ~65.6GB headroom — about 3 concurrent instances.
FP16 · ~24GBRuns well - Gemma 2 9BGemma · ~9B · 8K ctx · Gemma Terms of Use
Fits at FP16 (~19GB) with ~70.6GB headroom — about 4 concurrent instances.
FP16 · ~19GBRuns well - Llama 3.1 8BLlama · ~8B · 128K ctx · Llama Community License
Fits at FP16 (~17GB) with ~72.6GB headroom — about 5 concurrent instances.
FP16 · ~17GBRuns well - Qwen3 8BQwen · ~8B · 128K ctx · Apache-2.0
Fits at FP16 (~17GB) with ~72.6GB headroom — about 5 concurrent instances.
FP16 · ~17GBRuns well - Granite 3 8BGranite · ~8B · 128K ctx · Apache-2.0
Fits at FP16 (~17GB) with ~72.6GB headroom — about 5 concurrent instances.
FP16 · ~17GBRuns well - DeepSeek-R1 Distill 8BDeepSeek · ~8B · 128K ctx · MIT
Fits at FP16 (~17GB) with ~72.6GB headroom — about 5 concurrent instances.
FP16 · ~17GBRuns well
Devices built on this chip
Build a private AI Business OS on NVIDIA GB10 (DGX Spark class)
Run your own AI agents on hardware you control — private by design, no per-seat data leaving your premises. BrainOutput helps you pick the right machine and turn it into a working AI Business OS.
Explore the AI Business OS