Zasper is a high-performance Integrated Development Environment (IDE) specifically designed for data scientists and developers working with Jupyter notebooks. Engineered from the ground up, Zasper offers exceptional speed, efficiency, and scalability, enabling users to handle massive concurrency with a minimal memory footprint. Unlike traditional platforms, Zasper leverages modern hardware capabilities to deliver outstanding performance on local machines without relying on cloud-based solutions.
Grid.ai, now known as Lightning AI, is a platform designed to streamline the development and scaling of machine learning models by eliminating the complexities associated with infrastructure management. Founded in 2019 by the creators of PyTorch Lightning, the platform enables data scientists and researchers to focus on model development without the need to modify their code for scalability. Key Features and Functionality: - Runs: Scale machine learning code to hundreds of GPUs and model confi
Latica, formerly known as Lynx.MD, offers a comprehensive medical intelligence platform designed to facilitate secure and efficient collaboration within the healthcare ecosystem. The platform comprises two main components: the Trusted Data Environment (TDE and the Data Exchange. The TDE enables healthcare organizations to securely collect, manage, and analyze both structured and unstructured real-world data, including medical imaging and clinical notes. It ensures data privacy through automatic
NVIDIA Run:ai is a Kubernetes-native platform designed to orchestrate AI workloads and optimize GPU resources. Tailored for machine learning and AI teams, it streamlines resource management, enhances GPU utilization, and accelerates development cycles. By dynamically allocating GPU resources and integrating seamlessly with leading MLOps tools and cloud environments, Run:ai ensures efficient and scalable AI operations. Key Features and Functionality: - Dynamic GPU Scheduling: Automatically allo
AttackIQ Enterprise is a comprehensive breach and attack simulation platform designed to proactively identify and remediate security gaps within an organization's defenses. By continuously validating security controls against real-world adversary behaviors, it ensures that enterprises can detect vulnerabilities before they are exploited, thereby enhancing overall security posture. The platform offers deep, continuous security control validation, providing actionable insights and detailed reports
Harbr Enterprise Data Exchange is a comprehensive platform designed to streamline data sharing, collaboration, and monetization within and across organizations. By transforming raw data into accessible, customizable, and secure data products, Harbr empowers enterprises to unlock the full potential of their data assets. The platform addresses common challenges such as data silos, complex access controls, and the need for technical expertise in data customization, thereby accelerating time-to-valu
HugoBlox (by Lore Labs) is the open-source publishing infrastructure used by NVIDIA Research, MIT, Stanford, and Meta AI to manage technical knowledge and digital presence. While traditional CMSs fail to handle technical content, HugoBlox provides a Markdown and Jupyter-native workflow that integrates directly with your team's Git repository. It allows research groups and engineering teams to publish high-performance documentation, lab websites, and knowledge bases without dedicated DevOps over
The AISE PyTorch 0.4 Python 3.6 CPU Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and data science applications. It combines PyTorch 0.4, an open-source machine learning library, with Python 3.6 and Jupyter Notebook, a browser-based interactive platform for programming and data analysis. Optimized for CPU performance, this environment facilitates efficient development and execution of machine learning models without the need for GPU resources.
The AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and deep learning applications. It combines TensorFlow 1.10, Python 3.6, and CUDA 9.2, providing a robust platform for developing and deploying complex models. This environment is optimized for high-performance execution, ensuring efficient training and inference processes. Key Features and Functionality: - TensorFlow 1.10 Integration: Offers the capabil
The AISE TensorFlow 1.7 Python 3.6 CPU Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and data science applications. It combines TensorFlow 1.7, an open-source machine learning library, with Python 3.6 and Jupyter Notebook, a browser-based interactive platform for programming and data analysis. This setup is optimized for CPU performance, providing a stable and efficient environment for developing and deploying machine learning models. Key Featu
Vocareum is a cloud-based learning platform designed to enhance AI and cloud computing education by providing secure, scalable, and interactive environments for students and educators. It integrates seamlessly with Learning Management Systems , offering tools like Jupyter-powered AI Notebooks and Cloud Labs that support hands-on learning experiences. Vocareum's mission is to democratize access to cutting-edge technologies, enabling learners and professionals to achieve their full potential. Ke
Batteries Included is a comprehensive, self-hosted AI and DevOps platform designed to simplify the deployment and management of modern software infrastructure. By integrating essential tools such as large language models, vector databases, Jupyter notebooks, and serverless web services, it enables organizations to build, train, and deploy AI applications efficiently. The platform emphasizes ease of use, eliminating the need for complex configurations and allowing users to focus on innovation rat
The AISE PyTorch 0.4 Python 3.6 CUDA 9.1 Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and data science applications. It combines PyTorch 0.4, an open-source machine learning library, with Python 3.6 and Jupyter Notebook, providing a seamless platform for developing and deploying deep learning models. Optimized for NVIDIA GPUs, this environment leverages CUDA 9.1 to accelerate computations, making it ideal for both training and inference tasks.
Simple GPU hosting. Rent AI servers on demand. Choose system resources, select software You use: Docker, Jupyter, Tensorflow, pyTorch, ubuntu or anything else. Our platform ensures access to high-performance AI GPU hosting.
Image Recognition capability is one of the modular parts of the Analytical Data Platform which provides an implementation of item recognition and classification by the image of the item. Capability provides Jupyter notebook with executable code in AWS Sagemaker. Once code is up and running it releases the model and creates a demo endpoint.
WisBot is an AI-powered assistant designed to streamline data science and machine learning workflows by transforming raw data and user queries into comprehensive, ready-to-use solutions. It automates the creation of executed Jupyter Notebooks, exploratory data analysis (EDA) reports, trained machine learning models, and deployment-ready code, all without requiring local setup. Key Features and Functionality: - Executed Jupyter Notebooks: WisBot generates fully executed notebooks that include c
We are Atlassian Top Vendor trusted by customers all over the world. We develop productivity tools & integrations for Atlassian Confluence, Jira & Jira Service Management. Our current offerings include: Jupyter Notebook Viewer, Markdown Exporter for Confluence, Label Manager for Jira, HTML Macro for Confluence, Easy Gantt Charts etc.
We are Atlassian Top Vendor trusted by customers all over the world. We develop productivity tools & integrations for Atlassian Confluence, Jira & Jira Service Management. Our current offerings include: Jupyter Notebook Viewer, Markdown Exporter for Confluence, Label Manager for Jira, HTML Macro for Confluence, Easy Gantt Charts etc.