Nemotron 3.5 Lightning

Name: Nemotron 3.5 Lightning
Author: NVIDIA

by NVIDIA Chat · Tools · Thinking

Nemotron 3.5 Lightning is NVIDIA's efficient mixture-of-experts reasoning model, activating roughly 3B of its 30B parameters per token through a hybrid Mamba–attention architecture for fast, low-cost inference. Tuned for agentic use, it supports tool calling and step-by-step reasoning across a 1M-token context.

Publisher: NVIDIA (opens in a new tab)
API model name: nemotron-3.5-lightning:30b
Context window: 1M tokens
Sizes: 30B
Licence: openmdw-1.1

Run Nemotron 3.5 Lightning

Install it on a Pendra worker, then call it through our SDK with your pdr_sk_ API key.

Read the quickstart

from pendra import Pendra

client = Pendra(api_key="pdr_sk_...")

response = client.chat.completions.create(
    model="nemotron-3.5-lightning:30b",
    messages=[{"role": "user", "content": "Hello!"}],
)

print(response.choices[0].message.content)

import { Pendra } from "pendra";

const client = new Pendra({ apiKey: "pdr_sk_..." });

const response = await client.chat.completions.create({
  model: "nemotron-3.5-lightning:30b",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(response.choices[0].message.content);

Related models

Nemotron 3 Nano

NVIDIA nemotron-3-nano

Nemotron 3 Nano is NVIDIA's small, efficient model tuned for reasoning and tool use, offered in dense and mixture-of-experts sizes. It's built for cost-effective agentic deployments and supports a 131K-token context.

Chat · Tools · Thinking

4B · 30B 128K context

Run Nemotron 3.5 Lightning on infrastructure you trust.

Deploy a worker, install Nemotron 3.5 Lightning, and start serving it through one private API.

Try it free Read the quickstart