Shortlist by what you need
Start here if you know why you are leaving GPUX.
Want the closest match?
RunpodMost similar to GPUX in what it does, its category and its price.
Visit (opens Runpod in a new tab)Need a free plan?
ModalHas a free plan, rated 4.5 out of 5. GPUX has none.
Visit (opens Modal in a new tab)Want the best rated?
ReplicateRated 4.5 out of 5 in our review, against 3.5 for GPUX.
Visit (opens Replicate in a new tab)
At a glance
Green means better than GPUX, red means worse. Prices are starting prices per month.
| Tool | Our rating | Starts at | Free plan | Best for | Compare |
|---|---|---|---|---|---|
| 3.5 | $0.2/mo | No | Serverless GPU inference with a 1-second cold start - run StableDiffusionXL, Whisper or your own private model in the cloud from $0.2/hour, no infrastructure to manage. | ||
| 4.1+0.6 | Not listed | No | GPU cloud billed by the millisecond - sub-200ms cold starts, 30+ GPU types including H100, zero idle cost on serverless. | vs GPUX | |
| 4.2+0.7 | Free | YesGPUX has none | Inference revenue doubled to $400M as the company targets an $8B valuation | vs GPUX | |
| 4.2+0.7 | Not listed | No | Wafer-scale AI chips that run inference faster than GPU-based clouds on public benchmarks | vs GPUX | |
| 3.7+0.2 | Not listed | No | H200s, B200s and serverless inference on an open-source platform. | vs GPUX | |
| 4.5+1.0 | Not listed | No | Run, fine-tune and deploy open-source machine learning models through a single cloud API. | vs GPUX | |
| 4.5+1.0 | Free | YesGPUX has none | Serverless cloud platform for running AI workloads, with GPU inference, fine-tuning and training, sandboxes for agents, batch jobs and multi-node clusters, billed per second with $30 of free compute a month. | vs GPUX | |
| 3.7+0.2 | Not listed | No | H100 and H200 clusters, per-token inference and a model library, out of India. | vs GPUX | |
| 4.3+0.8 | Not listed | No | GPU cloud that IPO'd in 2025 and now powers training runs for OpenAI, Microsoft, and Meta | vs GPUX |
The alternatives in detail
In order of how closely each one matches GPUX.

Runpod
4.1Not listed
vs GPUX+0.6
GPU cloud billed by the millisecond - sub-200ms cold starts, 30+ GPU types including H100, zero idle cost on serverless.
- Serverless GPU endpoints with sub-200ms cold starts
- 30+ GPU types including H100, A100, L40S
- Zero idle cost on serverless, billed by the millisecond
Sub-200ms cold starts make serverless genuinely viable for latency-sensitive inference
Reserved vs. Spot instance choice needs real thought for interruption-sensitive workloads

Fal.ai
4.2Free
vs GPUX+0.7Free plan
Inference revenue doubled to $400M as the company targets an $8B valuation.
- Serverless inference for image, video, and audio generation models via one API
- No GPU infrastructure to provision or manage directly
- Usage-based pricing by GPU-second or per model output
Removes GPU infrastructure management entirely for generative media inference
Usage-based pricing can become higher-priced at high video-generation volumes

Cerebras
4.2Not listed
vs GPUX+0.7
Wafer-scale AI chips that run inference faster than GPU-based clouds on public benchmarks.
- Wafer-Scale Engine: a single large chip built specifically for AI workloads
- Cloud inference service running on Cerebras hardware, priced per million tokens
- Independently benchmarked inference speeds ahead of GPU-based providers on several open models
Benchmarked inference speed is a genuine, independently verified differentiator
CS-3 hardware itself is a multi-million-dollar purchase, out of reach for most teams

Qubrid AI
3.7Not listed
vs GPUX+0.2
H200s, B200s and serverless inference on an open-source platform.
- Serverless API inference with no infrastructure to manage
- GPU VMs on H200, B200 and H100 with SSH access
- Auto-stop to prevent idle GPU billing
Auto-stop guards against the most expensive mistake in rented compute
Model catalogue leans heavily on Chinese open-weight families

Replicate
4.5Not listed
vs GPUX+1.0
Run, fine-tune and deploy open-source machine learning models through a single cloud API.
- Single API to run thousands of community-contributed open-source models
- Fine-tune models on your own data without managing training infrastructure
- Deploy custom models via Cog, Replicate's open-source packaging tool
Removes essentially all GPU provisioning work for open-source models
Cold starts add latency on infrequently used models

Modal
4.5Free
vs GPUX+1.0Free plan
Serverless cloud platform for running AI workloads, with GPU inference, fine-tuning and training, sandboxes for agents, batch jobs and multi-node clusters, billed per second with $30 of free compute a month.
- Serverless GPU inference with OpenAI-compatible endpoints
- Fine-tuning, LoRA and reinforcement learning on GPUs with fast start times
- Sandboxes for coding agents and untrusted code
$30 of free compute each month on the Starter plan
Per-second pricing needs estimating for real workloads

Cyfuture AI
3.7Not listed
vs GPUX+0.2
H100 and H200 clusters, per-token inference and a model library, out of India.
- On-demand H100, H200, A100 and L40S GPU clusters
- Serverless inference billed per token
- Model library with Llama, Mistral and DeepSeek
India, UAE and Saudi presence for teams with data residency requirements
Inference is priced per token but GPU cluster rates still need a quote

CoreWeave
4.3Not listed
vs GPUX+0.8
GPU cloud that IPO'd in 2025 and now powers training runs for OpenAI, Microsoft, and Meta.
- Large-scale NVIDIA GPU clusters purpose-built for AI training and inference
- On-demand GPU-hour pricing alongside reserved-capacity contracts
- Publicly traded on NASDAQ since March 2025 (CRWV)
Dedicated AI-cloud focus avoids competing with general hyperscaler workloads for GPU capacity
GPU-hour pricing scales fast at the training volumes CoreWeave targets
FAQ
Questions people ask
Is GPUX free?
GPUX does not list a free plan. Paid plans start from $0.2/mo.
What is the best free alternative to GPUX?
Modal is the highest-rated alternative here with a free plan (4.5 out of 5). Other free options: Fal.ai.
How did you pick these alternatives?
We match tools on what they do, their category and their price, using the details in our directory. Ratings come from our reviews and reader reviews.
