AI · alternatives · 2026
24 alternatives to How Much to Run AI
Know what your AI will actually cost to run.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
RunInfra▲156Describe the AI model you need and get an optimized AI
Jul 2026 · runinfra.ai · its alternatives →
- 2SF
Hey folks! We're Alex and Evan, and we're working on putting together a 512 H100 compute cluster for startups and researchers to train large generative models on. - it runs at the lowest possible margins (<$2.00/hr per H100) - designed for bursty training runs, so you can take say 128 H100s for a week - you don’t need to commit to multiple years of compute or pay for a year upfront Big labs like OpenAI and Deepmind have big clusters that support this kind of bursty allocation for their researchers, but startups so far have had to get very small clusters on very long term contracts, wait…
2023 · sfcompute.org · its alternatives →
- 3SS
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 · its alternatives →
- 4
SelfHostLLM▲134A simple calculator that estimates how many concurrent requests your GPU can handle for a given LLM, with shareable results.
2025 · selfhostllm.org · its alternatives →
- 5
- 6TC
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 →
- 7
Trying to get a better understanding for the economics of compute, started with a tracker. Most importantly, it needs more data. Anything else I should add?
2025 · computeprices.com · its alternatives →
- 8
Stop guessing your AI costs
May 2026 · costlens.kipps.ai · its alternatives →
- 9
Free AI agent cost calculator. Compare GPT-4o, Claude, Gemini, DeepSeek and 50+ models. Build a workflow, get instant cost projections — no surprises on your bill.
May 2026 · airunrate.com · its alternatives →
- 10
crunr ▲106Launch and run any compute job on AWS with 1 command
May 2026 · crunr.com · its alternatives →
- 11
Estimate price for using OpenAI API
2023 · invertedstone.com · its alternatives →
- 12
DataMacaw▲67Train and run your AI models easily at low cost in the cloud
2022 · aws.amazon.com · its alternatives →
- 13
Live pricing for 309+ AI models (GPT, Claude, Gemini, Llama, DeepSeek) plus real-world cost calculators: chatbots, API budgets, and token math. Updated 2026-09-06.
Aug 2026 · costperprompt.com · its alternatives →
- 14
- 15
Know what every AI prompt will cost before you run it
Jul 2026 · quotefirst.ai · its alternatives →
- 16
CostMyAI▲4The 150x AI cost gap is real. Find which side you're on.
Jun 2026 · costmyai.com · its alternatives →
- 17
GPU Rates▲12I built a site to compare on-demand GPU prices across different providers and regions. Hopefully, it'll be helpful for ML developers and researchers.
2025 · gpurates.ai · its alternatives →
- 18
Run AI models or workflows on GPUs at a lower cost
2024 · its alternatives →
- 19
- 20
Real-time AI API price comparison across 20+ providers
Jun 2026 · computeunion.net · its alternatives →
- 21
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 →
- 22SY
Hey HN, If you tried running open-source models like Llama 3.1 70B or 405B, you might have noticed that it gets very expensive. The reason looks obvious enough that you might have stopped even before trying it! - GPUs are very expensive to buy or rent - Running the most performing LLMs need 4, 8 or even 16 top of the line Nvidia GPUs - And that won’t get you anywhere near the level of VRAM needed to batch enough to get a decent throughput and efficiency Some have even questioned if open-source LLM providers are not doing some shenanigans to provide the prices they offer. VC funded…
2024 · its alternatives →
- 23
Compare real-time cloud GPU pricing across 31 providers. Prices from $0.01/hr, updated every 60 seconds. Find the cheapest H100, A100, and RTX 4090 instances.
Jan 2026 · gpuperhour.com · its alternatives →
- 24
Worknet▲10AI agents that build and run your company autonomously
Jun 2026 · getworknet.ai · 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 →