Nebius vs. NumPy vs. python-sql Comparison


Nebius	NumPy	python-sql Python Software Foundation	+
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About Training-ready platform with NVIDIA® H100 Tensor Core GPUs. Competitive pricing. Dedicated support. Built for large-scale ML workloads: Get the most out of multihost training on thousands of H100 GPUs of full mesh connection with latest InfiniBand network up to 3.2Tb/s per host. Best value for money: Save at least 50% on your GPU compute compared to major public cloud providers*. Save even more with reserves and volumes of GPUs. Onboarding assistance: We guarantee a dedicated engineer support to ensure seamless platform adoption. Get your infrastructure optimized and k8s deployed. Fully managed Kubernetes: Simplify the deployment, scaling and management of ML frameworks on Kubernetes and use Managed Kubernetes for multi-node GPU training. Marketplace with ML frameworks: Explore our Marketplace with its ML-focused libraries, applications, frameworks and tools to streamline your model training. Easy to use. We provide all our new users with a 1-month trial period.	About Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.	About python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Founders of AI startups, ML engineers, MLOps engineers, and any roles interested in optimizing compute resources for their AI/ML tasks	Audience Component Library solution for DevOps teams	Audience Developers searching for a solution offering a library to write SQL queries
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API	API Offers API
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Pricing $2.66/hour Free Version Free Trial	Pricing Free Free Version Free Trial	Pricing Free Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Nebius Founded: 2022 Netherlands nebius.ai/	Company Information NumPy numpy.org	Company Information Python Software Foundation United States pypi.org/project/python-sql/
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Categories AI Image Generators AI Inference AI Infrastructure AI/ML Model Training Cloud GPU Cloud Service Providers Data Preparation LLM API Machine Learning Object Storage Virtual Private Cloud (VPC)	Categories Component Libraries	Categories Component Libraries

Integrations 3LC Coiled Cython Dash Domino Enterprise MLOps Platform Gensim JAX MPI for Python (mpi4py) NVIDIA DGX Cloud Serverless Inference PyCharm Python Spyder Train in Data Unify AI Visual Studio Code Yamak.ai Yandex Data Proc h5py imageio scikit-learn Show More Integrations View All 2 Integrations	Integrations 3LC Coiled Cython Dash Domino Enterprise MLOps Platform Gensim JAX MPI for Python (mpi4py) NVIDIA DGX Cloud Serverless Inference PyCharm Python Spyder Train in Data Unify AI Visual Studio Code Yamak.ai Yandex Data Proc h5py imageio scikit-learn Show More Integrations View All 21 Integrations	Integrations 3LC Coiled Cython Dash Domino Enterprise MLOps Platform Gensim JAX MPI for Python (mpi4py) NVIDIA DGX Cloud Serverless Inference PyCharm Python Spyder Train in Data Unify AI Visual Studio Code Yamak.ai Yandex Data Proc h5py imageio scikit-learn Show More Integrations View All 2 Integrations
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