LOADING DATASHEET
LOADING DATASHEET
by Nvidia
RANKED #39 OF 232 ASSISTANTS · OVERALL #65 OF 6,567 · VIBE SCORE 6.5 · 300 VOICES
A fast text model from Nvidia built for coding help and handling long documents.
83 mentions
10 mentions
26 weeks · 701 voices
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Nemotron 3.5 Lightning once and it's yours. No subscription, no rate limits, works offline.
30B parameters (3B active MoE), a Q4 file is about 25 GB
NVIDIA GeForce RTX 3090 24GB (Used)
24 GB VRAM
~$700 USEDQ4_K_M, ~30 tok/s, 8k context
MacBook Pro M3 Max (64GB Unified Memory)
64 GB UNIFIED MEMORY
~$2,800 REFURBISHEDQ8_0, ~80 tok/s, 64k context
Mac Studio M2 Ultra (128GB Unified Memory)
128 GB UNIFIED MEMORY
~$3,900 REFURBISHEDFull BF16 precision, ~50 tok/s, up to 256k context
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long Nemotron 3.5 Lightning takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce RTX 3090 24GB (Used) | SWEET SPOTMacBook Pro M3 Max (64GB Unified Memory) | FULL POWERMac Studio M2 Ultra (128GB Unified Memory) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~17 S★★★★★ | ~6 S★★★★★ | ~10 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~50 S★★★★★ | ~19 S★★★★★ | ~30 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~4.4 MIN★★★★★ | ~1.7 MIN★★★★★ | ~2.7 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~14 MIN★★★★★ | ~5.2 MIN★★★★★ | ~8.3 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~8.3 MIN★★★★★ | ~3.1 MIN★★★★★ | ~5 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
People like Nemotron 3.5 Lightning for its fast and accurate responses, especially when handling code and long chats. However, some users run into frustrating outages, errors, and usage limits.
267 POSTS · 33 COMMENTS · REDDIT · BLUESKY · HACKER NEWS · X · LEMMY · GITHUB · DEV.TO · DEV FORUMS · BLOG
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“This release follows Nemotron 3 Nano and reflects NVIDIA’s commitment to continually improving open models for greater accuracy and speed.”
Checked picks first: tags say why you would switch, stars say how fully each one stands in for Nemotron 3.5 Lightning.
nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 · Hugging Face
Nvidia Nemotron 3.5 Lightning and NeMo Switchyard
What a week for AI looks like Muse Glimmer 30b Nemotron 3.5 Lightning Grok Bot Grok 4.6 Qwen 3.8-Max weights GLM-5.3 Qwe
2-bit NVIDIA Nemotron 3.5 Lightning ran tool calls nonstop for 10 minutes on just 22GB of VRAM. 🤯 It cited 80+ websites
What a golden age we’re living in. Grok 4.6 Qwen 3.8-Max Open Gemini 3.7 Flash Muse Glimmer 30B DeepSeek V4 Pro GLM-5.3
What is happening right now is genuinely insane. Seven frontier AI models. Five days. 🤯 → Grok 4.6 : Fable 5 level inte
Nvidia Nemotron 3.5 Lightning
Love seeing our partners post-training Nemotron 3.5 Lightning for their own domains, tools, and workflows, as well as th
It's been a busy week so far. ✅ Aug 14, Qwen3.8-27B ✅ Aug 14, GLM 5.3 ✅ Aug 13, dots3-note preview ✅ Aug 13, Gemini 3.7
nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16
⏳ Aug 14, Qwen3.8-27B ✅ Aug 13, Gemini 3.7 Flash ✅ Aug 13, DeepSeek V4 Pro 0813 ✅ Aug 12, Grok 4.6 ✅ Aug 11, Nemotron 3.
Which's next? Claude? GPT? MiniMax? MiMo? Hy? Step? ✅ Aug 14, Qwen3.8-27B ✅ Aug 14, GLM 5.3 ✅ Aug 13, Gemini 3.7 Flash ✅