GPU-optimized AI, Machine Learning, & HPC Software

NVIDIA

The MiniMax-M2.5 NIM Container is a deployable inference container for serving MiniMax-M2.5, a third-party text generation model optimized for complex agentic tasks including software engineering, tool use, search.

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NVIDIA

gliner-pii

This container houses GLiNER PII, which detects and classifies a broad range of Personally Identifiable Information (PII) and Protected Health Information (PHI) in structured and unstructured text.

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NVIDIA

Nemotron-3-Super-120B-A12B (Experimental)

Nemotron-3-Super-120B-A12B is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks.

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Google

Gemma 4 26B A4B IT

Gemma 4 26B A4B IT is a Google multimodal instruction-tuned model packaged as an NVIDIA NIM container for deployment through NVIDIA NGC as a Downloadable NIM.

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Qwen

Qwen3.5-35B-A3B

Qwen3.5-35B-A3B is a multimodal vision-language Mixture-of-Experts model designed for native multimodal agent applications, supporting text, image, and video inputs.

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Google

Gemma 4 31B IT

Gemma 4 31B IT model which, is an open multimodal model built by Google DeepMind that handles text and image inputs, can process video as sequences of frames, and generates text output.

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NVIDIA

step-35-flash

Step 3.5 Flash is a sparse Mixture-of-Experts (MoE) large language model developed by StepFun, engineered to deliver frontier reasoning and agentic capabilities with exceptional efficiency

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Qwen

Qwen3.6-35B-A3B

The Qwen3.6-35B-A3B NIM Container is a deployable inference container for serving Qwen3.6-35B-A3B, a third-party multimodal Mixture of Experts model capable of processing text, image, and video inputs for text generation.

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Moonshot AI

kimi-k2.5-Turbo

This turbo container houses the Kimi K2.5 model which is an open-source, native multimodal agentic model built through continual pretraining on approximately 15 trillion mixed visual and text tokens atop Kimi-K2-Base.

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zai-org

glm-5.2

This container houses GLM-5.2, a flagship long-context large language model for agentic engineering and advanced reasoning, packaged as an NVIDIA NIM for staging.

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NVIDIA

Nemotron-3-Nano-Omni-30B-A3B-Reasoning

Nemotron Nano V3 Omni is a multi-modal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows.

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Z.Ai

GLM-5

GLM-5 is a next-generation large language model targeting complex systems engineering and long-horizon agentic tasks.

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NVIDIA

Nemotron-Content-Safety-Reasoning-4B (Experimental)

Nemotron Content Safety Reasoning 4B is a Large Language Model (LLM) classifier designed to function as a dynamic and adaptable guardrail for content safety and dialogue moderation (topic-following).

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NVIDIA

nvidia-ising-calibration-1

The NVIDIA Ising Calibration 1 NIM houses the NVIDIA-Ising-Calibration-1-35B-A3B-BF16 model, which is a purpose-built Mixture-of-Experts vision-language model (MoE VLM) built on Qwen3.5-35B-A3B,

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NVIDIA

GLM-5.1

This container houses GLM-5.1, which is a next-generation flagship model for agentic engineering with significantly stronger coding capabilities than its predecessor GLM-5. The model achieves state-of-the-art performance on SWE-Bench Pro and leads GLM-5

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Xiaomi

Mimo-V2-Flash (Experimental)

This container houses the model MiMo-V2-Flash.

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NVIDIA

nemotron-3.5-content-safety

The Nemotron 3.5 Content Safety NIM container packages NVIDIA's small language model (SLM) that uses Google's Gemma-3-4B-it as the base and is fine-tuned by NVIDIA on multimodal, multilingual, and reasoning-oriented content-safety datasets.

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Google

DiffusionGemma 4 26B A4B IT

The DiffusionGemma-4-26B-A4B-IT model is an open-weights multimodal generative model developed by Google DeepMind that processes text, image, and video inputs to produce text output via discrete diffusion.

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Qwen

qwen3.6-27b

The Qwen3.6-27B NIM Container is a deployable inference container for serving Qwen3.6-27B, a third-party multimodal dense model capable of processing text, image, and video inputs for text generation.

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NVIDIA

Nemotron-3 Content Safety VLM

This NIM container houses the Nemotron 3 Content Safety model which, is a small language model (SLM) that uses Google's Gemma-3-4B-it as the base and is fine-tuned by NVIDIA on multimodal and multilingual content-safety related datasets.

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Deepseek AI

DeepSeek-V4-Pro

The DeepSeek-V4-Pro Container is a deployable inference container for serving DeepSeek-V4-Pro, a third-party sparse Mixture-of-Experts language model for reasoning, coding, and agentic tasks.

Container

NVIDIA

Nemotron-3-Super-120B-A12B (Turbo)

Nemotron-3-Super-120B-A12B is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks.

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Stepfun-AI

Step 3.7 Flash

The Step-3.7-Flash NIM is a Downloadable NIM container for deploying Step-3.7-Flash, a StepFun vision-language model built on Step 3.5 Flash with additional vision capability for native multimodal, agentic, and coding-related use cases.

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Thinking Machines Lab

Inkling

This NIM container houses Inkling model, which is a 66-layer decoder-only transformer with a sparse Mixture-of-Experts (MoE) feed-forward backbone, featuring 975B total parameters and 41B active parameters

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