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Can you run Nemotron 3 Super 120B A12B locally?

Nemotron 3 family · 2026 · 123.6B parameters (12B activated per token) · Hugging Face model card

NVIDIA Nemotron 3 Super is a 120B-total / 12B-active hybrid model (vendor card: Total Parameters 120B, 12B active, designated 120B-A12B). The HF safetensors total is 123,611,012,096 in bfloat16, slightly above the announced 120B because the checkpoint includes the multi-token-prediction head. config.json declares 512 routed experts with 22 active per token plus 1 shared expert (shared intermediate 5376), 88 layers, hidden size 4096, 32 attention heads, only 2 KV heads, head dim 128, vocab 131072, on the nemotron_h hybrid Mamba/attention architecture. Native context is 262,144 tokens. Licensed under NVIDIA's model license (other). Local VRAM fit uses the 12B active count: roughly 8 GB at Q4-class quantization (calculated). Measured speeds: not yet published here.

Minimum: 8 GB+ memory (Q4-class on 12B active, calculated)  ·  Recommended: 16 GB+ for comfortable context headroom (Q4-class, calculated)

Parameters (total)
123.6B
Activated per token
12B (MoE)
Context window
262,144 tokens
Architecture source
HF config.json (verified)

How much VRAM does Nemotron 3 Super 120B A12B need at each quantization?

Nemotron 3 Super 120B A12B needs 82.0 GB of VRAM at Q4_K_M. The table below lists weights-only size and total VRAM including overhead for each common quantization level with 4k and 32k token contexts.

QuantizationBits / weightWeights onlyTotal + KV @4k ctxTotal + KV @32k ctx
Q4_K_M 4.8 74.2 GB 82.0 GB 84.5 GB
Q5_K_M 5.7 88.1 GB 97.3 GB 99.8 GB
Q6_K 6.6 102.0 GB 112.6 GB 115.1 GB
Q8_0 8.5 131.3 GB 144.8 GB 147.4 GB
FP16 16 247.2 GB 272.3 GB 274.9 GB

Hybrid Mamba/attention stack (nemotron_h) with only 2 KV heads; config also sets mamba_hidden/mamba_num_heads for the SSM layers. Ships a built-in MTP head.

Method: weights = parameters × bits-per-weight (Q4_K_M ≈ 4.8, Q5_K_M ≈ 5.7, Q6_K ≈ 6.6, Q8_0 ≈ 8.5, FP16 = 16), plus 10% loading overhead, plus KV cache from the verified architecture config (88 layers, 2 KV heads, 128 head dim). Source: HF-verified 2026-09-30 via plain api (gated=false safetensors.total=123611012096 params=123.61B ctx=262144 license=other repo=nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16@2dc98e2afe4face0e4ce40972a915c45368bd34a layers=88 hidden=4096 kv_heads=2 heads=32 vocab=131072). MoE: num_experts=512 num_experts_per_tok=22 active_params_b=12.0 (vendor model card (Total 120B, 12B active); config n_routed_experts=512, 22 per token). VRAM figures are documented calculations (Q4-class ~0.6 GB per B params, on active params for MoE rows), not measurements. release_date is the HF repo lastModified date observed on the verification pass. No tok/s or benchmark scores invented.

Which GPUs can run Nemotron 3 Super 120B A12B locally?

At Q4_K_M with a 4k context, Nemotron 3 Super 120B A12B needs 82.0 GB of VRAM. The lists below are computed live from our GPU database and grouped by how much headroom the card has. Disclosure: CompareAIHardware.com participates in the Amazon Associates program and earns from qualifying purchases through links on this page. Affiliate relationships do not influence our recommendations.

Runs Nemotron 3 Super 120B A12B comfortably (25%+ VRAM headroom)

GPUVRAMBandwidthType
H200 SXM 141 GB 4800 GB/s Data Center GPU
AMD Instinct MI300X 192 GB 5300 GB/s Data Center GPU
NVIDIA B200 192 GB 8000 GB/s Data Center GPU
AMD Instinct MI325X 256 GB 6000 GB/s Data Center GPU
AMD Instinct MI355X 288 GB 8000 GB/s Data Center GPU
NVIDIA B300 (Blackwell Ultra) 288 GB 8000 GB/s Data Center GPU

Minimum GPUs that fit Nemotron 3 Super 120B A12B at Q4_K_M

These GPUs hold the model but leave little headroom — keep contexts short.

GPUVRAMBandwidthType
NVIDIA RTX PRO 6000 Blackwell 96 GB 1792 GB/s Pro GPU Check price

Needs 2+ GPUs to run Nemotron 3 Super 120B A12B

One of these cards is too small on its own, but a pair (tensor or pipeline parallel, ~90% efficiency) covers the 82.0 GB requirement. See our multi-GPU guide for setup.

GPUVRAMBandwidthType
AMD Radeon Pro W7900 48 GB ×2 864 GB/s Pro GPU Check price
NVIDIA RTX PRO 5000 Blackwell 48 GB ×2 1344 GB/s Pro GPU
RTX 6000 Ada 48 GB ×2 960 GB/s Pro GPU Check price
RTX A6000 48 GB ×2 768 GB/s Pro GPU Check price
H100 SXM 80 GB ×2 3350 GB/s Data Center GPU
NVIDIA A100 80GB SXM 80 GB ×2 2039 GB/s Data Center GPU
NVIDIA H100 PCIe 80GB 80 GB ×2 2039 GB/s Data Center GPU

Can a Mac run Nemotron 3 Super 120B A12B?

Yes — these Apple Silicon machines fit Nemotron 3 Super 120B A12B at Q4_K_M, since macOS lets the GPU use about 75% of unified memory. Generation speed is bound by memory bandwidth, so the GB/s column matters as much as capacity.

Apple SiliconUnified memoryUsable by GPU (~75%)Bandwidth
Apple M3 Max 128 GB 96 GB 400 GB/s
M4 Max (MacBook Pro) 128 GB 96 GB 546 GB/s
M5 Max (Mac Studio) 128 GB 96 GB —
M5 Ultra (Mac Studio) 512 GB 384 GB 1200 GB/s

Can Nemotron 3 Super 120B A12B run on mini PCs, Jetson, or NPU devices?

These edge and NPU devices from our database have enough memory for Nemotron 3 Super 120B A12B at Q4_K_M. Their memory bandwidth is far below discrete GPUs, so expect a fraction of desktop generation speed.

DeviceMemoryBandwidthType
AMD Ryzen AI 9 HX 370 (Strix Point) 96 GB 120 GB/s NPU Chip

Which pre-built systems can run Nemotron 3 Super 120B A12B?

These mini PCs and workstations from our database fit Nemotron 3 Super 120B A12B at Q4_K_M. Usable-memory figures are conservative: Windows shares about half of system RAM with the GPU by default (Linux can expose more), macOS lets Apple Silicon GPUs use about 75% of unified memory, and Linux unified-memory systems such as GB10 expose roughly 90%. Generation speed is bound by memory bandwidth, so compare the GB/s column before buying.

SystemTypeMemoryUsable for AIBandwidthGPUs
ACEMAGIC F9A (Ryzen AI Max+ PRO 495) Mini PC 192 GB 96 GB — —
BOXX APEXX 8R (1x RTX PRO 6000 Blackwell) Workstation 96 GB 96 GB 1792 GB/s 1
Chuwi UniBox AI495 Pro (Ryzen AI Max+ PRO 495) Mini PC 192 GB 96 GB 273 GB/s —
GEEKOM A9 Mega AI Workstation Workstation 128 GB 96 GB — 1
GMKtec EVO-X5 Pro (Ryzen AI Max+ PRO 495) Mini PC 192 GB 96 GB — —
NOVATECH RTX PRO 6000 AI Workstation Workstation 96 GB 96 GB — 1
System76 Thelio Major (1x RTX PRO 6000 Blackwell) Workstation 96 GB 96 GB 1792 GB/s 1
System76 Thelio Major (2x RTX 6000 Ada) Workstation 96 GB 96 GB 960 GB/s 2
Lenovo ThinkStation PGX Workstation 128 GB 115.2 GB 273 GB/s 1
NVIDIA DGX Spark Workstation 128 GB 115.2 GB 273 GB/s 1
BIZON G3000 G2 (4x RTX 5090) Workstation 128 GB 128 GB 1792 GB/s 4
Apple Mac Studio M2 Ultra (192GB) Workstation 192 GB 144 GB 800 GB/s 1
HP Z8 Fury G5 (4x RTX 6000 Ada) Workstation 192 GB 192 GB 960 GB/s 4

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