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Deploy and scale models on your GPU infrastructure of choice with NVIDIA NIM inference microservices
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57 models
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dateCreated:DESC
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Qwen
qwen3.5-122b-a10b
122B MoE LLM (10B active) for coding, reasoning, multimodal chat. Agent-ready.
tool calling
+4
32.38K
1d
Qwen
qwen3.5-397b-a17b
Next-gen Qwen 3.5 VLM (400B MoE) brings advanced vision, chat, RAG, and agentic capabilities.
MoE
+4
5.42M
2w
Z.ai
glm5
GLM-5 744B MoE enables efficient reasoning for complex systems and long-horizon agentic tasks.
MoE
+3
6.37M
3w
NVIDIA
llama-nemotron-embed-vl-1b-v2
Multimodal question-answer retrieval representing user queries as text and documents as images.
nemo retriever
+3
627K
3w
Z.ai
glm4.7
GLM-4.7 is a multilingual agentic coding partner with stronger reasoning, tool use, and UI skills.
Tool Calling
+4
17.69M
1mo
DeepSeek AI
deepseek-v3.2
State-of-the-art 685B reasoning LLM with sparse attention, long context, and integrated agentic tools.
long context
+3
14.82M
2mo
Mistral AI
mistral-large-3-675b-instruct-2512
A state-of-the-art general purpose MoE VLM ideal for chat, agentic and instruction based use cases.
language generation
+4
5.24M
3mo
Mistral AI
ministral-14b-instruct-2512
A general purpose VLM ideal for chat and instruction based use cases
language generation
+4
3.82M
3mo
NVIDIA
nemotron-nano-12b-v2-vl
Nemotron Nano 12B v2 VL enables multi-image and video understanding, along with visual Q&A and summarization capabilities.
language generation
+4
1.59M
4mo
NVIDIA
llama-3.1-nemotron-safety-guard-8b-v3
Leading multilingual content safety model for enhancing the safety and moderation capabilities of LLMs
content moderation
+4
488K
4mo
DeepSeek AI
deepseek-v3.1-terminus
DeepSeek-V3.1: hybrid inference LLM with Think/Non-Think modes, stronger agents, 128K context, strict function calling.
tool calling
+3
12.1M
5mo
ByteDance
seed-oss-36b-instruct
ByteDance open-source LLM with long-context, reasoning, and agentic intelligence.
thinking budget
+3
2.8M
6mo
NVIDIA
nvidia-nemotron-nano-9b-v2
High‑efficiency LLM with hybrid Transformer‑Mamba design, excelling in reasoning and agentic tasks.
thinking budget
+2
650K
6mo
NVIDIA
cosmos-reason1-7b
Reasoning vision language model (VLM) for physical AI and robotics.
video understanding
+8
15.93K
6mo
OpenAI
gpt-oss-20b
Smaller Mixture of Experts (MoE) text-only LLM for efficient AI reasoning and math
text-to-text
+3
7.06M
7mo
OpenAI
gpt-oss-120b
Mixture of Experts (MoE) reasoning LLM (text-only) designed to fit within 80GB GPU.
text-to-text
+3
34.11M
7mo
Opengpt-x
teuken-7b-instruct-commercial-v0.4
Multilingual 7B LLM, instruction-tuned on all 24 EU languages for stable, culturally aligned output.
sovereign ai
+4
426K
7mo
Meta
llama-guard-4-12b
Multi-modal model to classify safety for input prompts as well output responses.
LLM Multimodal Safety
+3
393K
8mo
NVIDIA
llama-3.2-nemoretriever-1b-vlm-embed-v1
Multimodal question-answer retrieval representing user queries as text and documents as images.
nemo retriever
+3
272K
8mo
NVIDIA
llama-3.1-nemotron-nano-vl-8b-v1
Multi-modal vision-language model that understands text/img and creates informative responses
doc intelligence
+3
6.69M
8mo
Gotocompany
gemma-2-9b-cpt-sahabatai-instruct
SOTA LLM pre-trained for instruction following and proficiency in Indonesian language and its dialects.
Sovereign AI
+4
426K
8mo
Google
gemma-3-1b-it
A lightweight, multilingual, advanced SLM text model for edge computing, resource constraint applications
Translation
+3
4.72K
463K
9mo
Microsoft
phi-4-mini-instruct
Lightweight multilingual LLM powering AI applications in latency bound, memory/compute constrained environments
chat
+3
2.12M
9mo
NVIDIA
llama-3.1-nemoguard-8b-topic-control
Topic control model to keep conversations focused on approved topics, avoiding inappropriate content.
nemo guardrails
+4
452K
11mo
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