ZeroGPU AI (@ZeroGPU_AI) header
ZeroGPU AI (@ZeroGPU_AI) profile picture

ZeroGPU AI

@ZeroGPU_AI

The compute efficient layer for AI inference

 Austin, TX
zerogpu.ai/
Joined October 2025
  • Tweets269
  • Following30
  • Followers177
Set a schema, get JSON back. Our small language model for extraction, gliner2.5-base-v1, pulls exact fields out of messy documents, at $0.02 per 1M input tokens. Built for recruiting, insurance and lending. docs.zerogpu.ai/cookbook/dat…
ZeroGPU card. For recruiting, insurance and lending. Pull exact fields out of messy documents, in your own schema $0.02 per 1M input tokens, against GPT-5.4 nano's $0.20.

ALT ZeroGPU card. For recruiting, insurance and lending. Pull exact fields out of messy documents, in your own schema $0.02 per 1M input tokens, against GPT-5.4 nano's $0.20.

1
23
"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.
28
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.

26
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.

1
1
37
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…
36
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.

22
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+.

1
51
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.

33
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.

1
1
28
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.

28
Load more