nowfound

AI · alternatives · 2026

24 alternatives to Buildfunctions

GPU Functions: Deploy AI Models & Run Serverless Inference

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Buildfunctions launched in 2024; newer entries below may have overtaken it.

  1. 1

    AI models that run on an inference cloud optimized for speed

    May 2026 · generalcompute.com · its alternatives →

  2. 2
    ZeroGPU▲298

    The compute efficient layer for AI inference

    Jun 2026 · zerogpu.ai · its alternatives →

  3. 3
    Cerebrium▲300

    If you haven’t noticed, GPUs are scarce right now. The global boom in inference has demand growing faster than supply can keep up, and at Cerebrium ...

    2024 · cerebrium.ai · its alternatives →

  4. 4
    RunInfra▲156

    Describe the AI model you need and get an optimized AI

    Jul 2026 · runinfra.ai · its alternatives →

  5. 5
    Banana▲235

    Serverless GPUs for Machine Learning inference

    2022 · banana.dev · its alternatives →

  6. 6GA
  7. 7TC

    Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…

    2022 · tensordock.com · its alternatives →

  8. 8

    An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack

    2016 · github.com · its alternatives →

  9. 9

    The easiest way to use cloud GPUs

    2025 · tensorpool.dev · its alternatives →

  10. 10

    Accelerate AI & ML with High-Performance GPU Servers

    Dec 2025 · vpsmalaysia.com.my · its alternatives →

  11. 11

    Inference hosting for AI teams who ship fast and scale faster.

    2022 · banana.dev · its alternatives →

  12. 12
    GPU.LAND▲126

    Affordable cloud GPUs for deep learning

    2021 · vedge.cloud · its alternatives →

  13. 13

    Run AI jobs from your IDE with a one-click workflow

    Mar 2026 · oncompute.ai · its alternatives →

  14. 14

    AI-Native Data Infrastructure for Spatial and Physical AI

    Apr 2026 · zibra.ai · its alternatives →

  15. 15

    AI Journey Starts Here

    2025 · cyfuture.ai · its alternatives →

  16. 16

    I wanted to build an inference provider for proprietary AI models, but I did not have a huge GPU farm. I started experimenting with Serverless AI inference, but found out that coldstarts were huge. I went deep into the research and put together an engine that loads large models from SSD to VRAM up to ten times faster than alternatives. It works with vLLM, and transformers, and more coming soon. With this project you can hot-swap entire large models (32B) on demand. Its great for: Serverless AI Inference Robotics On Prem deployments Local Agents And Its open source. Let me know if anyone…

    Nov 2025 · github.com · its alternatives →

  17. 17

    Memory-rich AI inference without HBM

    3d ago · intel.com · its alternatives →

  18. 18

    The world’s most powerful chip’ for AI

    2024 · nvidia.com · its alternatives →

  19. 19

    Demo of agent based model on GPU with CUDA and OpenGL (Windows/Linux) Agent instances on GPU memory Uses SSBO for instanced objects (with GLSL 450 shaders) CUDA OpenGL interops Renders with GLFW3 window manager Dynamic camera views in OpenGL (pan,zoom with mouse) Libraries installed using vcpkg (https://github.com/KienTTran/ABMGPU)

    2023 · github.com · its alternatives →

  20. 20

    AI Journey Starts Here

    Oct 2025 · cyfuture.ai · its alternatives →

  21. 21

    Deploying vision models is time consuming and tedious. Setting up dependencies. Fixing conflicts. Configuring TRT acceleration. Flashing (and re-flashing) NVIDIA Jetsons. A streamlined, developer-friendly solution for inference is needed. We, the Roboflow team, have been hard at work open sourcing Inference, an open source vision deployment solution. Our solution is designed with developers in mind, offering a HTTP-based interface. Run models on your hardware without having to write architecture-specific inference code. Here's a demo showing how to go from a model to GPU inference on a video…

    2023 · github.com · its alternatives →

  22. 22

    Pool compute to run powerful open models

    Apr 2026 · anarchai.org · its alternatives →

  23. 23

    Run AI models or workflows on GPUs at a lower cost

    2024 · its alternatives →

  24. 24

    Unleash Extreme AI Performance with NVIDIA H100 GPU Server

    2025 · cyfuture.ai · its alternatives →

Also compare

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →