AI · alternatives · 2026

24 alternatives to oneinfer.ai

Unified Inference Stack with multi cloud GPU orchestration

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

1
General Compute▲315
AI models that run on an inference cloud optimized for speed
May 2026 · generalcompute.com · its alternatives →
2
ZeroGPU▲298
The compute efficient layer for AI inference
Jun 2026 · zerogpu.ai · its alternatives →
3
Inferless▲749
Deploy any machine learning models in minutes
2025 · inferless.com · its alternatives →
4
Inference Engine by GMI Cloud▲180
Fast multimodal-native inference at scale
Dec 2025 · gmicloud.ai · its alternatives →
5
I've built a locally running Perplexity clonefree▲669
The video demo runs a 7b Model on a normal gaming GPU. I think it already works quite well (accounting for the limited hardware power). :)
2024 · github.com · its alternatives →
6
OpenInfer▲19
Keep your OpenClaw agents running. Free beta, no code change
Apr 2026 · openinfer.io · its alternatives →
7
Banana▲235
Serverless GPUs for Machine Learning inference
2022 · banana.dev · its alternatives →
8
Inferock▲263
Serverless inference, with credits back for failed calls.
23d ago · inferock.ai · its alternatives →
9GA
GPU-Accelerated Inference Hosting▲56
2021 · inferrd.com · its alternatives →
10
RunInfra▲156
Describe the AI model you need and get an optimized AI
Jul 2026 · runinfra.ai · its alternatives →
11
Onepanel▲74
Next generation Deep Learning IDE
2018 · its alternatives →
12
Multi-GPU Reinforcement Learning in Tensorflow for OpenAI Gym▲58
Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym - vishar0/dist-dqn
2016 · github.com · its alternatives →
13
SelfHostLLM▲134
A simple calculator that estimates how many concurrent requests your GPU can handle for a given LLM, with shareable results.
2025 · selfhostllm.org · its alternatives →
14
50+ LLMs on 2 GPUs with 2-Second Swapping? We built AI-Native Runtime▲5
We've built InferX, a specialized runtime environment that fundamentally changes how LLMs are served. The core problem we solve is the latency bottleneck in AI inference, especially with large models. Current systems waste resources or suffer from painfully slow cold starts. InferX's AI-native architecture, with its "snapshot" technology, enables: * *Sub-2s cold starts:* Spin up models instantly. * *High density:* Serve more LLMs on the same GPUs. * *Optimal efficiency:* Maximize GPU utilization. This isn't just another API; it's a new execution layer designed from the ground up for the…
2025 · github.com · its alternatives →
15
GPU.LAND▲126
Affordable cloud GPUs for deep learning
2021 · vedge.cloud · its alternatives →
16
Pip install inference, open source computer vision deployment▲71
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 →
17
Nvidia Blackwell B200 GPU▲146
The world’s most powerful chip’ for AI
2024 · nvidia.com · its alternatives →
18
Dockerized GPU Deep Learning Solution (Code and Blog and TensorFlow Demo)▲80
An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack
2016 · github.com · its alternatives →
19
Intel® GPU D-series▲76
Memory-rich AI inference without HBM
3d ago · intel.com · its alternatives →
20
Shadeform – Single Platform and API for Provisioning GPUs▲62
Hi HN, we are Ed, Zach, and Ronald, creators of Shadeform (https://www.shadeform.ai/), a GPU marketplace to see live availability and prices across the GPU market, as well as to deploy and reserve on-demand instances. We have aggregated 8+ GPU providers into a single platform and API, so you can easily provision instances like A100s and H100s where they are available. From our experience working at AWS and Azure, we believe that cloud could evolve from all-encompassing hyperscalers (AWS, Azure, GCP) to specialized clouds for high-performance use cases. After the launch of…
2023 · shadeform.ai · its alternatives →
21
Serve 100 Large AI models on a single GPU with low impact to TTFT▲7
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 →
22
Banana.dev Serverless GPUs for Machine Learning Inference▲16
Inference hosting for AI teams who ship fast and scale faster.
2022 · banana.dev · its alternatives →
23
Onepanel – Production scale, Kubernetes-native vision AI platform▲30
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises. - onepanelio/onepanel
2020 · github.com · its alternatives →
24
OneMux▲10
Low-cost, OpenAI-compatible API for multiple AI models
Jul 2026 · onemux.net · its alternatives →

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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 →