About NVIDIA AI Enterprise
NVIDIA AI Enterprise is NVIDIA's software platform for taking AI workloads from development into production. The vendor describes it as a cloud-native suite, and the listing summarizes it as NIM microservices, frameworks and tools for running production AI.
The product page text available is mostly site navigation, so detailed contents are not spelled out here. It sits alongside NVIDIA's data center offerings for accelerated computing, AI factories, cloud computing, edge computing and MLOps, and it is meant for organizations running AI on NVIDIA hardware in the cloud, in data centers or at the edge.
NVIDIA AI Enterprise is a proprietary, commercially licensed product. Local pricing and buying partners are handled through NVIDIA's regional websites, so cost details depend on the country and channel.
Key features
- NIM microservices for model inference
- AI frameworks and tools for production
- Cloud-native software platform
- Runs in cloud, data center and edge settings
- Support for MLOps workflows
Good fit for
- →Enterprises running production AI on NVIDIA GPUs
- →IT teams standardizing AI software across data centers
- Tags
- nvidia
- nim
- inference
- mlops
- enterprise-ai
- gpu
- ai-infrastructure
NVIDIA AI Enterprise: questions and answers
- What is NVIDIA AI Enterprise used for?
- NVIDIA AI Enterprise is a cloud-native software suite of NIM microservices, frameworks and tools for running AI in production on NVIDIA infrastructure. It is a good fit for enterprises running production AI on NVIDIA GPUs and IT teams standardizing AI software across data centers.
- How much does NVIDIA AI Enterprise cost?
- NVIDIA AI Enterprise is a paid product with no free plan.
- Is NVIDIA AI Enterprise open source?
- No. NVIDIA AI Enterprise is proprietary (closed-source) software. Open-source alternatives to NVIDIA AI Enterprise include SGLang and vLLM.
- Can I self-host NVIDIA AI Enterprise?
- Yes. Although NVIDIA AI Enterprise is closed source, it can be self-hosted on your own servers.
- What are some alternatives to NVIDIA AI Enterprise?
- NVIDIA AI Enterprise competes with Amazon SageMaker, Google Vertex AI and Azure Machine Learning. For open-source options, see Enlisted's ranked list of open-source NVIDIA AI Enterprise alternatives.
Open-source alternatives to NVIDIA AI Enterprise
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SGLang
AI Infrastructure
SGLang is a high-performance serving framework for large language models and multimodal mo
Apache-2.0vs Amazon Bedrock★ 37k
vLLM
AI Infrastructure
A high-throughput and memory-efficient inference and serving engine for LLMs
Apache-2.0vs Amazon Bedrock★ 93k
llama.cpp
AI Infrastructure
LLM inference in C/C++
MITvs OpenAI API Platform★ 130k
MLC LLM
AI Infrastructure
Universal LLM Deployment Engine with ML Compilation
Apache-2.0★ 23k
Paddler
AI Infrastructure
Open-source LLM/VLM load balancer and serving platform for self-hosting LLMs (and VLMs) at
Apache-2.0★ 1.7k
Instill Core
AI Infrastructure
🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orches
OSSvs Unstructured★ 2.3k
SaaS alternatives to NVIDIA AI Enterprise
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Amazon SageMaker
AI Infrastructure
AWS platform for building, training and deploying machine learning models
SaaS
Google Vertex AI
AI Infrastructure
Google Cloud platform for building, tuning and deploying machine learning and generative AI models
SaaS
Azure Machine Learning
AI Infrastructure
Microsoft cloud service for training, deploying and managing machine learning models
SaaS
IBM watsonx
AI Infrastructure
IBM AI and data platform for building and governing foundation-model applications
SaaS
H2O.ai
AI Infrastructure
AI platform for predictive and generative AI model building and deployment
SaaS
Anyscale
AI Infrastructure
Managed platform for running Ray workloads for AI training and serving
SaaS

