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NodeShift
5.0
based on 1 Review
About NodeShift
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NodeShift Ratings
based on 1 reviews
Overall Rating
5.0/5
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5
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4
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3
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2
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Category Ratings
5.0
Company culture
5.0
Job security
5.0
Salary
5.0
Work-life balance
5.0
Skill development
5.0
Promotions
5.0
Work satisfaction
NodeShift is rated 5.0 out of 5 stars on AmbitionBox, based on 1 company reviews. This rating reflects a generally positive employee experience, indicating satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
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Compare NodeShift with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 5.0/5 based on 1 reviews | 3.7/5 based on 88.4k reviews | 3.7/5 based on 52.3k reviews | 3.8/5 based on 55.5k reviews |
Highly Rated for | Skill development Work-life balance Salary | Job security Work-life balance | Job security | Skill development Job security Company culture |
Critically Rated for | No critically rated category | Promotions Salary Work satisfaction | Promotions Salary | Promotions |
Primary Work Policy | - | Work from office 80% employees reported | Hybrid 62% employees reported | Hybrid 74% employees reported |
Rating by Women Employees | - no rating available | 3.8 Good rated by 25.6k women | 3.8 Good rated by 15k women | 3.9 Good rated by 20.8k women |
Rating by Men Employees | - no rating available | 3.6 Good rated by 57.6k men | 3.7 Good rated by 34.9k men | 3.8 Good rated by 32.1k men |
Job security | 5.0 Excellent | 4.5 Good | 3.8 Good | 3.8 Good |
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NodeShift Jobs
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NodeShift News
How to Install & Run VideoLLaMA3-7B Locally
- VideoLLaMA3-7B is a cutting-edge multimodal foundation model for image and video comprehension, addressing challenges with features like AVT and DiffFP.
- To install and run VideoLLaMA3-7B locally, specific prerequisites like GPUs (A100 or RTX 4090), 100 GB disk space, and 8 GB RAM are needed.
- The step-by-step process includes setting up a NodeShift account, creating a GPU node with configurations for GPU, storage, and authentication.
- After selecting configuration options, creating a node, and connecting with SSH, setting up a Python Notebook and installing dependencies like PyTorch and Hugging Face is required.
- Loading and running the VideoLLaMA3-7B model involves importing the model, processing video and text inputs, and generating a response for detailed video description.
- The model successfully describes a provided video based on the given prompt, showcasing its capabilities in video comprehension and analysis.
- VideoLLaMA3-7B's integration of AVT and DiffFP features sets a new standard for video comprehension tasks, offering advanced functionality for developers.
- With NodeShift's cloud platform, deploying resource-intensive models like VideoLLaMA3-7B becomes easier, providing scalable compute environments for optimized performance.
- This guide provides insights into leveraging innovative features of VideoLLaMA3-7B for enhanced video analysis and understanding, emphasizing its capabilities in multimodal comprehension.
- For more details on NodeShift's offerings, resources like their website, documentation, and social media platforms are recommended for further exploration.
Dev | 13 Feb, 2025
DeepSeek's AI Coding Assistant: Install DeepSeek-R1-32B-Cline Locally with Ollama and VSCode
- DeepSeek-R1-32B-Cline is an AI model for coding assistance powered by DeepSeek-R1, offering intelligent code suggestions, error detection, and productivity enhancements.
- It is suitable for developers wanting to utilize AI locally for data privacy and reduced latency.
- The installation process involves setting up a NodeShift account, creating a GPU node, selecting configurations, choosing authentication methods, and connecting via SSH.
- Installing Ollama involves updating Ubuntu package sources, installing dependencies, and starting the Ollama server.
- DeepSeek-R1-32B-Cline can be installed using the Ollama command, configured, and integrated with VSCode through the Cline extension.
- The Coding Assistant can be used to describe code, find bugs, and assist with various tasks to enhance coding experience.
- Deploying the model through NodeShift's cloud dashboard provides scalable infrastructure for developers managing AI-driven development environments.
- Overall, the guide covers how to install DeepSeek-R1-32B-Cline locally with Ollama and VSCode for an AI-powered coding experience.
- It emphasizes boosting development efficiency and ensuring data privacy by keeping operations local.
- The setup process involves creating a NodeShift account, setting up GPU nodes, and connecting to the active Compute Node using SSH.
- By integrating DeepSeek-R1-32B-Cline with VSCode, developers can benefit from AI-driven coding assistance and improved productivity.
Dev | 13 Feb, 2025
How to Install Tulu 3 8B DPO Locally
- Tulu-3-8B-DPO offers high-performance and versatile access to a state-of-the-art language model, excelling in tasks such as mathematical problem-solving and reasoning-based datasets.
- Built on Llama-3.1 architecture, Tulu-3-8B-DPO is fine-tuned with open-source and synthetic datasets, standing out as a customizable choice for machine learning experiments.
- Unlike models with restrictive licensing, Tulu-3-8B-DPO is fully open-source, facilitating seamless customization and development.
- The installation guide provides hands-on steps to deploy Tulu-3-8B-DPO locally, starting with prerequisites like GPUs (e.g., RTX 4090), 200GB disk space, and 8GB RAM.
- For deployment, using a GPU-powered Virtual Machine by NodeShift is recommended for its affordability, compliance standards, and user-friendly interface.
- The step-by-step process involves setting up a NodeShift account, creating a GPU node with desired configurations, selecting authentication methods, choosing an image (e.g., Jupyter Notebook), and connecting via SSH.
- Additional steps include setting up a Python Notebook, installing dependency packages, loading/importing the model (allenai/Llama-3.1-Tulu-3-8B-DPO), and running the model for tasks like text generation.
- By following the guide, developers can harness Tulu-3-8B-DPO's capabilities and NodeShift's infrastructure for optimized performance, secure storage, and efficient resource management in AI workloads.
- The article concludes by emphasizing how deploying models like Tulu-3-8B-DPO with NodeShift can unlock the model's potential for research and experimentation.
Dev | 13 Feb, 2025
How to Install Mistral-Small-3 24B Locally
- Mistral-Small-3 24B is a high-performing generative AI model designed for local deployment, offering speed and efficiency without compromising accuracy.
- It is intended to complement larger models like Llama 3.3 70B and Qwen 32B, delivering robust language capabilities.
- This article provides a step-by-step guide on installing Mistral-Small-3 24B locally for AI projects.
- Prerequisites include GPUs like H100 SXM or RTX 4090, 200 GB disk space, 48-64 GB RAM, and Jupyter Notebook.
- The installation process involves creating a NodeShift account, setting up a GPU node, selecting configurations, and choosing an image for the VM.
- Additional steps include connecting to the active Compute Node using SSH, setting up a Python Notebook, installing dependencies, and loading the model.
- Developers can leverage Mistral-Small-3 24B's open-source design for rapid forward passes and low latency in generative tasks.
- NodeShift offers GPU-powered virtual machines for scalable and secure deployments, enhancing the model's performance.
- By following the outlined process, users can deploy Mistral-Small-3 24B locally and utilize its powerful language capabilities for various AI tasks.
- The model can handle complex tasks like text generation with efficiency, making it a valuable asset for developers and researchers.
Dev | 13 Feb, 2025
How to Install & Run MiniCPM-o2.6 Multimodal LLM locally
- MiniCPM-o2.6 is a versatile tool for vision, speech & text processing with 8 billion parameters.
- This article provides a step-by-step process to install and run MiniCPM-o2.6 MLLM locally.
- Prerequisites needed for MiniCPM-o 2.6 include GPUs such as an A100 or RTX 4090, at least 200GB space and 16GB RAM, Jupyter Notebook installed.
- NodeShift was used for this tutorial as it offers high compute Virtual Machines at an affordable cost, control over different environmental configurations, and an intuitive user-friendly interface to get beginners started with Cloud deployments.
- The tutorial lists 9 steps to install MiniCPM-o2.6 and its dependencies and to load and run the model for video-to-text conversion.
- The output generated by the model is promising and mentions small details and the overall sense of the video.
- By following the steps outlined in this guide, you can unlock the full potential of MiniCPM-o 2.6 and intergrate its advanced capabilities into your workflows with ease.
- NodeShift provides a deployment environment that enhances the model's efficiency, scalability, and performance, ensuring a seamless competitive experience for users across various domains.
Dev | 4 Feb, 2025
Running AI Models with Open WebUI
- Open WebUI is a web-based platform with language processing interfaces like Ollama and other compatible tools.
- It offers a suite of features that streamline managing and interacting with language models.
- Open WebUI allows you to manage and communicate with language models effectively.
- It incorporates a voice interaction feature making it as natural as having a conversation.
- This tutorial has step-by-step instructions to set up Open WebUI on a NodeShift Virtual Machine.
- NodeShift offers affordable Virtual Machines that meet stringent compliance standards including GDPR and ISO27001.
- To run AI models with Open WebUI in the cloud, you require prerequisites for GPU and CPU VMs.
- There are 19 steps involved in running AI models with Open WebUI in the cloud.
- These steps include setting up a NodeShift Cloud account, creating a GPU Node and installing Open WebUI.
- The tutorial also covers logging in, creating an account, accessing the chat interface, as well as additional settings and connection options.
Dev | 17 Nov, 2024
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NodeShift FAQs
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Working at NodeShift offers several advantages that make it an appealing place for employees. The company is highly rated for company culture, job security and promotions / appraisal, based on reviews on AmbitionBox.
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