Best Cloud GPU Providers for Visual Studio Code

Compare the Top Cloud GPU Providers that integrate with Visual Studio Code as of November 2026

This a list of Cloud GPU providers that integrate with Visual Studio Code. Use the filters on the left to add additional filters for products that have integrations with Visual Studio Code. View the products that work with Visual Studio Code in the table below.

What are Cloud GPU Providers for Visual Studio Code?

Cloud GPU providers offer scalable, on-demand access to Graphics Processing Units (GPUs) over the internet, enabling users to perform computationally intensive tasks such as machine learning, deep learning, scientific simulations, and 3D rendering without the need for significant upfront hardware investments. These platforms provide flexibility in resource allocation, allowing users to select GPU types, configurations, and billing models that best suit their specific workloads. By leveraging cloud infrastructure, organizations can accelerate their AI and ML projects, ensuring high performance and reliability. Additionally, the global distribution of data centers ensures low-latency access to computing resources, enhancing the efficiency of real-time applications. The competitive landscape among providers has led to continuous improvements in service offerings, pricing, and support, catering to a wide range of industries and use cases. Compare and read user reviews of the best Cloud GPU providers for Visual Studio Code currently available using the table below. This list is updated regularly.

  • 1
    Thunder Compute

    Thunder Compute

    Thunder Compute

    Thunder Compute is a GPU cloud for developers. It features competitive pricing, simple UX, and pre-built tools for common AI workflows. Most neoclouds are real-estate companies; they build data centers, with software as an afterthought. That software is what developers see, touch, and interact with every day. It is critical. This team of cracked systems and infrastructure engineers is flipping that script. They're building the most enjoyable, low-cost, reliable GPU cloud for developers.
    Starting Price: $0.35 per hour
  • 2
    gpu.nz

    gpu.nz

    Transtrade

    gpu.nz is a cloud GPU rental service for developers, machine-learning engineers, researchers and creators who need on-demand compute for AI inference, model training, image and video generation, and rendering. Users compare GPU offers by model, memory, location and hourly rate, then launch servers with preconfigured environments such as ComfyUI, Stable Diffusion Forge, Ollama with Open WebUI, vLLM, PyTorch and Jupyter, or use a custom Docker image. GPU time is billed by the minute from a prepaid balance; the rate is fixed when a server starts, and stopping it ends GPU charges while disk storage remains billable. A web console, REST API, command-line tool and hosted Model Context Protocol server support manual and scripted server search, launch and management.
    Starting Price: $0.067/hour
  • 3
    JarvisLabs.ai

    JarvisLabs.ai

    JarvisLabs.ai

    We have set up all the infrastructure, computing, and software (Cuda, Frameworks) required for you to train and deploy your favorite deep-learning models. You can spin up GPU/CPU-powered instances directly from your browser or automate it through our Python API.
    Starting Price: $1,440 per month
  • 4
    Apolo

    Apolo

    Apolo

    Access readily available dedicated machines with pre-configured professional AI development tools, from dependable data centers at competitive prices. From HPC resources to an all-in-one AI platform with an integrated ML development toolkit, Apolo covers it all. Apolo can be deployed in a distributed architecture, as a dedicated enterprise cluster, or as a multi-tenant white-label solution to support dedicated instances or self-service cloud. Right out of the box, Apolo spins up a full-fledged AI-centric development environment with all the tools you need at your fingertips. Apolo manages and automates the infrastructure and processes for successful AI development at scale. Apolo's AI-centric services seamlessly stitch your on-prem and cloud resources, deploy pipelines, and integrate your open-source and commercial development tools. Apolo empowers enterprises with the tools and resources necessary to achieve breakthroughs in AI.
    Starting Price: $5.35 per hour
  • 5
    packet.ai

    packet.ai

    packet.ai

    packet.ai is a GPU cloud platform built to give developers and AI teams fast access to high-performance computing without the complexity and inefficiencies of traditional cloud infrastructure. It provides on-demand GPU instances, including modern NVIDIA hardware, that can be launched in seconds and accessed through tools like SSH, Jupyter, or VS Code, enabling users to quickly start training models, running inference, or experimenting with AI workloads. It introduces a different approach to GPU usage by dynamically allocating resources based on real-time workload demands, rather than treating a GPU as a fixed unit, allowing multiple compatible workloads to share hardware efficiently while maintaining predictable performance. This results in higher utilization and eliminates the need to pay for idle capacity, focusing instead on the exact compute resources consumed. packet.ai also offers an OpenAI-compatible API for language model inference, embeddings, and fine-tuning, etc.
    Starting Price: $0.39/hour
  • 6
    Runcrate

    Runcrate

    Aeonmind LLC

    Runcrate gives AI teams and their agents GPUs and inference from one account. Instances: rent a GPU by the hour (H100, H200, A100, L40S, RTX 4090, RTX PRO 6000 and more, 20+ models) with SSH, Jupyter and VS Code in the browser. A launch reaches running in about four minutes, booting is never billed, and most GPUs bill by the second. Inference: 200+ open models (DeepSeek, Qwen, Llama, Kimi, FLUX, Whisper) behind one OpenAI-compatible API, so the client you already use works. Priced per token, image or second. Storage volumes keep datasets and checkpoints between instances, and reserved clusters cover 8+ GPUs or month-long terms. Built for agents: connect Claude Code, Codex or Cursor to the Runcrate MCP server with one command and sign in through your browser, no key to paste. Your agent can then launch a GPU, run commands on it and shut it down. Also a CLI (brew install runcrateai/tap/runcrate) and Python and TypeScript SDKs.
    Starting Price: $0.65/hour
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