@ZeroGPU_AI

The compute efficient layer for AI inference

 Austin, TX
zerogpu.ai/
Joined October 2025
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  • Following30
  • Followers177
"These small models are going to get more and more important as compute gets tighter and tighter." Heard on All-In this week. That is the bet we built ZeroGPU on: small and open-weight models, run where the compute already is.
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Our audio models now support batch tasks. Queue a backlog of recordings for whisper-tiny speech to text, or a list of scripts for chatterbox-nano text to speech, and collect the results when the job finishes. docs.zerogpu.ai/api-referenc…
ZeroGPU card: whisper-tiny and chatterbox-nano now run as batch tasks, for transcribing archives and generating audio in bulk.

ALT ZeroGPU card: whisper-tiny and chatterbox-nano now run as batch tasks, for transcribing archives and generating audio in bulk.

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New on ZeroGPU: gliner2.5-decide-v1, a small language model that picks from options you send with each request. Route agents to tools, triage support tickets, flag human handoff, no fine-tuning. docs.zerogpu.ai/api-referenc…
ZeroGPU card: gliner2.5-decide-v1 picks the right tool, label or handoff from options you send with each request, for agent routing, support triage and human handoff.

ALT ZeroGPU card: gliner2.5-decide-v1 picks the right tool, label or handoff from options you send with each request, for agent routing, support triage and human handoff.

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1)We served 11.8 billion tokens in 48 hours on 16,000+ idle laptops, desktops and phones. No data center needed to answer a single request. About 1,900x less energy than a typical data center AI prompt, and zero cooling water. Full benchmark: zerogpu.ai/benchmarks/edge-n…
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One model finds personal details in six languages, so there is no translation step before redaction. Our small language model for PII detection covers 40+ entity types. Built for European outsourcers, cross-border fintech and privacy tools. docs.zerogpu.ai/docs/pii
ZeroGPU ZLM series card for gliner-multi-pii-v1: finds personal details in six languages with a single model. 6 languages in one model, 40+ entity types plus your own labels, 0 translation steps.

ALT ZeroGPU ZLM series card for gliner-multi-pii-v1: finds personal details in six languages with a single model. 6 languages in one model, 40+ entity types plus your own labels, 0 translation steps.

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Our open-weight models on Hugging Face have passed 40,000 downloads. Top of the list is our ZLM for IAB classification, which beat GPT-5.4 nano in about two of three blind tests and runs in the browser. Moderation and domain classification are there too. huggingface.co/zgpu-ai
ZeroGPU open-weight models on Hugging Face: zlm-v1-iab-classify-edge 30,000+ downloads, zlm-v1-moderation-edge 5,000+, zlm-v1-iab-domain-classifier-edge 3,000+.

ALT ZeroGPU open-weight models on Hugging Face: zlm-v1-iab-classify-edge 30,000+ downloads, zlm-v1-moderation-edge 5,000+, zlm-v1-iab-domain-classifier-edge 3,000+.

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Mask personal details before a model, a vendor or a log sees them. Our small language model for PII detection finds 40+ entity types in text. Built for contact centers, legal teams and healthcare AI. zerogpu.ai/use-cases/pii-red…
ZeroGPU ZLM series card for gliner-multi-pii-v1: finds personal details in text and hides them before anything else sees them. 40+ PII entity types, 6 languages natively.

ALT ZeroGPU ZLM series card for gliner-multi-pii-v1: finds personal details in text and hides them before anything else sees them. 40+ PII entity types, 6 languages natively.

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Two new small language models for extraction are live on ZeroGPU: gliner2.5-base-v1 for English, gliner2.5-multi-v1 for 50+ languages. Set your schema in the request and get JSON back, no fine-tuning. docs.zerogpu.ai/api-referenc…
ZeroGPU card: gliner2.5-base-v1 extracts entities, classifies text and returns structured JSON from your schema, in English.

ALT ZeroGPU card: gliner2.5-base-v1 extracts entities, classifies text and returns structured JSON from your schema, in English.

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Brand safety is two checks: IAB category and harm score. Our ZLMs for IAB classification and moderation run both, and our domain ZLM covers URL-only cases. Built for brand safety vendors, DSPs and agencies. docs.zerogpu.ai/docs/ad-tech
ZeroGPU card for IAB ZLM + moderation ZLM. Says what a page is about and whether it is safe for a brand to appear there. For verification vendors, ad platforms and agencies. Benchmark figures: 66% iab win rate against gpt-5.4 nano, 9 of 13 harm categories won against openai, 0 hallucinated categories.

ALT ZeroGPU card for IAB ZLM + moderation ZLM. Says what a page is about and whether it is safe for a brand to appear there. For verification vendors, ad platforms and agencies. Benchmark figures: 66% iab win rate against gpt-5.4 nano, 9 of 13 harm categories won against openai, 0 hallucinated categories.

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Qwen3.6-35B-A3B is live on ZeroGPU: one open-weight model for text, images and video. Send it a screenshot, a scanned doc or a clip and get structured output back. docs.zerogpu.ai/api-referenc…
ZeroGPU card: qwen3.6-35b-a3b, one open-weight model for text, images and video, with tool calling and structured output.

ALT ZeroGPU card: qwen3.6-35b-a3b, one open-weight model for text, images and video, with tool calling and structured output.

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Check every AI response before it reaches a user: our ZLM for moderation for text, Llama Guard 4 for images. Same API, one extra call. Built for agent platforms, copilots and LLM gateways. zerogpu.ai/use-cases/jailbre…
ZeroGPU card for zlm-v1-moderation-edge + llama-guard-4-12b. Checks what your AI says before your users see it, in text and in images. For agent platforms, copilots and AI security teams. Benchmark figures: 0.899 moderation f1, against openai's 0.853, 13 harm categories per call, $0.02 per 1m input tokens on the zlm.

ALT ZeroGPU card for zlm-v1-moderation-edge + llama-guard-4-12b. Checks what your AI says before your users see it, in text and in images. For agent platforms, copilots and AI security teams. Benchmark figures: 0.899 moderation f1, against openai's 0.853, 13 harm categories per call, $0.02 per 1m input tokens on the zlm.

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ZeroGPU now does audio. whisper-tiny for speech to text at two cents a minute, chatterbox-nano for text to speech with voice cloning at a penny. Both small and open-weight, both work with the OpenAI SDK. docs.zerogpu.ai/docs/audio
ZeroGPU card: whisper-tiny and chatterbox-nano. Speech to text at $0.02 per minute, text to speech at $0.01 per minute, voice cloning from a 6 to 30 second clip.

ALT ZeroGPU card: whisper-tiny and chatterbox-nano. Speech to text at $0.02 per minute, text to speech at $0.01 per minute, voice cloning from a 6 to 30 second clip.

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