Jupyter Notebook Gpu

NVIDIA AI Workbench unifies building, training, and deploying AI models on NVIDIA GPUs. It integrates Jupyter, preconfigured libraries, Docker, automatic GPU allocation, multi‑node scaling, and real‑time monitoring, supporting TensorFlow, PyTorch, and Hugging Face.

Trooper.AI provides private EU-hosted bare-metal GPU servers for model training, fine-tuning, and inference, with one-click AI environment templates, full root SSH and NVMe storage, tested CUDA on Ubuntu 22.04, scalable hardware and pause/upgrade controls.

Tensordock provides cloud GPU services for AI workloads, featuring on-demand Nvidia H100, A100, and RTX 4090 GPUs. It supports rapid deployment, extensive documentation, and efficient management of virtual environments for diverse applications.

Runpod supplies on‑demand GPUs in 31 regions, offering single‑node pods, multi‑node clusters, and serverless workloads. It delivers low‑latency inference, efficient fine‑tuning, instant scaling, S3‑compatible storage, real‑time logs, and sub‑200 ms cold starts.

Juice virtualizes local GPUs over IP, intercepting CUDA, Vulkan, DirectX 12 calls so Python, Blender, Unreal Engine run on remote GPUs with minimal changes. It supports all NVIDIA cards, SLURM integration, and TLS 1.3 secure tunnels.

Float16.cloud delivers AI‑as‑a‑Service, platform, and infrastructure through instant, ready‑to‑use models accessed via a dashboard or API. It offers dedicated GPUs, 1‑second cold starts, Jupyter notebooks, credit‑based quotas, and dynamic scheduling for training, inference, and batch processing.

Lightning AI is a PyTorch Lightning‑based cloud platform for training, deploying, and serving models at scale. It offers GPU workspaces, managed clusters, fractional pay‑as‑you‑go GPU capacity, inference APIs, serverless deployment, security, and integration with LitServe, LitGPT, and LLMs.

Vocareum delivers labs with IDEs, notebooks, and GPU/CPU clusters in isolated containers or accounts. It offers tutoring, code grading, and a unified gateway to AWS, Azure, GCP, Databricks, and foundation models. LMS integration and SOC 2 compliance enable scalable training.

GPUX is a serverless inference platform that delivers 1‑second cold starts and GPU‑accelerated execution for models like Stable Diffusion XL, ESRGAN, and Whisper. It supports P2P and read‑write volume access for rapid, scalable deployment on NVIDIA RTX 4090 GPUs.

Vast.ai supplies on‑demand GPU instances, including NVIDIA RTX, H100, and Blackwell models, deployable in seconds. Developers can programmatically provision resources via CLI, SDK or API, and scale workloads with autoscaling, serverless inference, and dedicated InfiniBand clusters.

GitHub Copilot is an AI pair programmer that uses the OpenAI Codex to suggest code and entire functions in real-time.

Thunder Compute is a cloud-based platform that provides easy access to network-attached GPUs for AI and machine learning projects. It enables swift model deployment, efficient scaling, and minimizes idle GPU costs through streamlined infrastructure management.

Modal is a cloud‑native platform that lets developers run inference, training, batch jobs, sandboxes, and notebooks with sub‑second cold starts and instant autoscaling. It’s Python‑centric, offers elastic multi‑cloud GPU scaling, zero‑idle scaling, unified observability, and high‑throughput AI‑nativ

RightNow AI is an AI-powered code editor for CUDA development, offering real-time GPU monitoring, inline profiling, and support for local LLMs. It enhances performance analysis and optimization for high-performance computing applications.

Roboflow streamlines computer‑vision projects by offering a low‑code pipeline for data annotation, GPU‑accelerated training, and multi‑environment deployment. It integrates with PyTorch, TensorFlow, Hugging Face, major clouds, and meets SOC2 Type 2 and HIPAA security.

Fluidstack offers dedicated GPU clusters on bare‑metal Atlas OS, delivering rapid provisioning and full resource control. Continuous monitoring via Lighthouse ensures isolated, compliant infrastructure (GDPR, SOC 2, ISO 27001) with a 15‑minute support SLA for AI labs, enterprises, and government use

fal.ai offers a unified API for generating images, videos, audio, and 3D models from a library of over 1,000 production‑ready assets. It provides serverless GPU inference, private deployment options, NVIDIA‑cluster fine‑tuning, SOC 2 compliance, and enterprise‑grade support.

Mito turns Excel spreadsheets into Python code within Jupyter notebooks, offering a spreadsheet UI, point‑and‑click chart wizard, automated error correction, low‑code SQL, and AI‑assisted notebook updates. It supports multiple LLM providers, database connections, and can export notebooks as Streamli

WisBot converts CSV, JSON, or Python files and natural‑language queries into executable Jupyter notebooks with EDA, ML models, visualizations, and performance comparison. It outputs a Docker‑ready repository, enabling rapid deployment and integration with research or business workflows.

Kanaries transforms raw data into interactive visual insights with AI‑assisted code completion for Pandas, RStudio, and Jupyter. Drag‑and‑drop chart building, natural‑language chat, real‑time collaboration, and offline desktop support streamline the entire exploration workflow across web and desktop

TensorPix enhances SD video to 4K 60FPS, removes artifacts from VHS and old footage, offers real‑time call improvement, batch processing, API integration, and cloud GPU processing—no local install needed.

RunningHub is a cloud IDE for ComfyUI workflows, enabling in‑browser design, editing, and GPU‑accelerated execution. It offers pre‑installed nodes, access to major diffusion and video models, training tools, API integration, and real‑time collaboration.

ClearML AI Infrastructure Platform unifies GPU management, model development, and generative‑AI deployment across on‑prem, cloud, and hybrid setups, offering secure multi‑tenant provisioning, priority scheduling, fractional GPU allocation, integrated IDE, CI/CD, and streamlined workflows for data sc

Metaflow is an open‑source Python framework for building, managing, and deploying ML workflows. It supports local development, seamless cloud migration, automatic variable tracking, compute scaling, versioned workflow storage, and one‑click production rollout.

Cloud GPU rental platform offering on-demand VMs and bare-metal servers with A100/H100/RTX4090 and other GPUs, configurable vRAM/vCPU, persistent volumes, spot instances, and API-driven provisioning for training, inference, rendering, and HPC workloads.

Massed Compute delivers on‑demand GPU/CPU resources via API and desktop interface, supporting NVIDIA A100/H100/L40/A6000 GPUs and custom clusters. Bare‑metal servers provide direct physical access, while an Inventory API streamlines instance management in a Tier III data‑center with expert support.

Querio is a data analytics platform that connects to warehouses like BigQuery, Snowflake, RedShift, ClickHouse, and PostgreSQL. It offers reactive SQL/Python notebooks, versioned business logic in Git, collaborative boards, role‑based controls, and embed options via iframe, API, or MCP.

CodeSquire is an AI‑powered assistant that plugs into Colab, BigQuery, and JupyterLab, delivering real‑time code completions, converting natural‑language comments into Python, SQL, and data‑analysis functions, and automating data preprocessing, model training, and S3 uploads.

GPU Mart provides dedicated GPU server hosting and VPS solutions optimized for demanding AI workloads, including LLM inference, image generation, and 3D rendering, offering guaranteed resources and transparent pricing.

Znote turns Markdown files into executable notebooks, embedding code, AI calls, and scripts in a single document. It offers local Whisper transcription, inline AI chat, and ready templates for Gmail, Jira, Slack, API tests, and data analysis—no plugins required.

Denvr is a sovereign AI cloud and private platform on Canadian/US infrastructure, providing on-demand and reserved GPU compute (NVIDIA H200/H100/A100, Intel Gaudi2), scalable InfiniBand clusters, OpenAI-compatible inference endpoints, NVMe storage, secure networking, and developer APIs.

Open Notebook is a self-hosted, open-source notebook for private LLM workflows, supporting over 16 AI providers. It enables multi-modal content management, vector search, and contextual chat with full data sovereignty for research and development teams.

Scale your AI projects affordably with Salad's GPU Cloud service. Access over 10,000 GPUs for generative AI tasks like generating 9 million+ images in just 24 hours at a starting price of $0.02/hr. Salad offers fully managed services like the Salad Container Engine, Salad Gateway Service, and Virtua

Web-based Dreambooth Google Colab and web UI interface for stable Diffusion.

Canto is a private, local-first AI notebook for macOS that runs models offline and stores notes in an encrypted database. It features a semantic knowledge graph, code execution, and tools for research and writing—all without cloud uploads.

Ministral WebGPU optimizes machine learning applications by utilizing enhanced graphics processing power. It supports various app files, enabling efficient collaboration and development, with an intuitive interface suitable for both beginners and experienced practitioners.

Quantum Copilot is an AI‑driven assistant for quantum developers that generates, translates, and visualizes code across OpenQASM, Q#, Qiskit, Cirq, Quil, and more. It supports Jupyter integration, cloud simulation, real‑hardware execution, and offers an API, CLI, and conversational support.

Jules is an asynchronous coding agent that enhances developer onboarding and productivity by organizing setup steps, integrating with GitHub, managing repositories, generating tests, and providing audio summaries for improved team communication.

This is an image-to-text model that generates prompts based on input images.

NVIDIA NIM APIs offer AI tools for model exploration and deployment, featuring multi-pass inference, access to large language models for coding and image generation, and support for AI agents in customer service and document processing.

NeuralHub is a collaborative platform simplifying neural network experimentation. Build, visualize, and tune networks easily with free compute resources and premium GPUs for AI research and development.

EmpirioLabs AI is a platform for hosting, deploying, and scaling open-source and proprietary AI models via API or web playground. It supports multimodal, long-context models with optimized endpoints, creative templates, and high-throughput rate limits for production workloads.

Dedalus Labs offers persistent full Linux VMs with VM-level kernel, memory and filesystem isolation, fast boot under 250 ms, preserved state across sessions, and CLI/API/SSH access for reproducible development, long-running agents, CI, and model workloads.