Alternatives

Products that do what CKey does

Affordable GPU Cloud for AI training & inference

1
GPU.LAND▲126
Affordable cloud GPUs for deep learning
2021
2TC
TensorDock Core GPU Cloud – GPU servers from $0.29/hr▲147
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
3
General Compute▲315
AI models that run on an inference cloud optimized for speed
May 2026 · generalcompute.com
4
TensorPool▲192
The easiest way to use cloud GPUs
2025
5
Netmind Power▲272
The decentralised machine learning and AI platform
2023
6CG
Cloud GPUs for Deep Learning – At 1/3 the Cost of AWS/GCP▲168
2021 · gpu.land
7
RightNow▲197
AI code editor for GPU kernel development
Dec 2025
8
RightNow CUDA Editor▲136
AI code editor for GPU development
Nov 2025
9
Ocean Orchestrator ▲139
Run AI jobs from your IDE with a one-click workflow
Mar 2026
10
RightNow AI 'V2.0'▲355
Vibe coding for CUDA engineers
2025
11
RightNow AI Code Editor▲262
The first GPU-native code editor with AI
Oct 2025
12
Thunder Compute (YC S24)▲116
Self-host AI/ML with the world's cheapest GPU cloud
2025
13SS
sllm – Split a GPU node with other developers, unlimited tokens▲188
Running DeepSeek V3 (685B) requires 8×H100 GPUs which is about $14k/month. Most developers only need 15-25 tok/s. sllm lets you join a cohort of developers sharing a dedicated node. You reserve a spot with your card, and nobody is charged until the cohort fills. Prices start at $5/mo for smaller models. The LLMs are completely private (we don't log any traffic). The API is OpenAI-compatible (we run vLLM), so you just swap the base URL. Currently offering a few models.
Apr 2026 · sllm.cloud
14
Tensorflow Research Cloud▲288
Accelerating open machine learning research with Cloud TPUs
2017
15
Nvidia Blackwell B200 GPU▲146
The world’s most powerful chip’ for AI
2024
16
RightNow CLI▲121
Claude Code for CUDA, an open-source AI CLI for GPU devs
Oct 2025
17TF
TensorFlow for AWS on a Real GPU▲77
2015 · github.com
18
Groq®▲237
Hyperfast LLM running on custom built GPUs
2024
19
RunInfra▲156
Describe the AI model you need and get an optimized AI
Jul 2026 · runinfra.ai
20
Cyfuture AI B300 GPU Cloud▲3
Rent NVIDIA B300 GPUs for Enterprise AI at Scale
Jul 2026 · cyfuture.ai
21
The cheapest GPU cloud – H100s at $2.04/HR, H200s at $3/HR▲61
Affordable H100, H200, GB300, and B200 GPU compute for training, inference, and everything in between.
4d ago · compute.cheap
22
NeuroGrid▲25
Turn idle GPUs into cash. Get affordable AI for everyone.
Nov 2025
23PO
PlaidML, open source deep learning for any GPU▲52
Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml
2017
24
Modal Notebooks▲140
High-performance, collaborative GPU notebooks in the cloud
Sep 2025

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