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9 articles tagged with “Announcement”
News & Updates4 min read
ParalonCloud now has spot nodes: GPUs that earn while they're idle and go back to their owner the moment they're needed. What they are, how they work, and who they're for.
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News & Updates8 min read
TypeSafe's Jev is hosted-only and behind a waitlist. OpenJev, the open NLI cross-encoder built on Qwen3.5, is now served on ParalonCloud behind POST /v1/classify: a label and calibrated probabilities per input, 3 ms per item in a batch, no generated text. Measured against a 27B LLM judge on the same pairs, with the vLLM recipe so you can run it yourself.
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News & Updates8 min read
Our inference API now generates images. Z-Image-Turbo — open-weight, Apache 2.0 — is live behind an OpenAI-compatible /v1/images/generations endpoint, running on consumer GPUs in our network. Free to try, $0.003 per image after. Try it from curl, Python, or straight from our Discord.
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News & Updates4 min read
Our inference API can now see. Qwen 3.8 27B — natively multimodal, 32k context, tool calling — is live on the ParalonCloud API, with a free trial key. Send screenshots and images through the same OpenAI-compatible endpoint you already use.
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Guides & Tutorials3 min read
You can now rent a GPU without leaving your editor. The ParalonCloud MCP server lets Claude Code, Claude Desktop, and Cursor browse GPUs, start a rental, and hand you the connection URL — in natural language, with one config line.
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News & Updates4 min read
You can now rent GPUs on ParalonCloud from code. Browse available GPUs with live prices, start a JupyterLab rental, get its connection URL, and stop it — all over a simple REST API, with the same key you use for inference.
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News & Updates4 min read
Providers on ParalonCloud can now set their own hourly price, per node. Here's how custom pricing works, what a 4090 or H100 actually earns, and how to pick a price that wins renters in a volatile GPU market.
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News & Updates3 min read
Season 0 of the ParalonCloud incentivized testnet is live. Keep a GPU online and earn points — VRAM × time — climb the leaderboard, and get recognized as an early provider on the network.
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News & Updates3 min read
We built Paralon Cloud to make GPU compute accessible to anyone — developers, researchers, and creators. Here's what we offer, why we built it, and where we're heading.
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