The compute efficient layer for AI inference
Austin, TX
- Tweets 240
- Following 30
- Followers 178
- Likes 194
Our ZLM for IAB classification beat GPT-5.4 nano in 66% of 10,000 blind tests, about 10x faster, at about a tenth of the price.
Built for publishers, SSPs and web-data companies.
zerogpu.ai/benchmarks/iab-cl…
ALT ZeroGPU card for zlm-v1-iab-classify-edge. Reads a web page and says what it is about, so the right ads can run next to it. For publishers, ad platforms and web data teams. Benchmark figures: 66% win rate against gpt-5.4 nano, 48 ms p50 latency, against ~1,900 ms, 0 hallucinated labels, against 1,796.
2
1
3
50
We'll be highlighting what you can do with our ZLMs: ZeroGPU Language Models.
Small models trained for one job each, like classifying, moderating and extracting from text. One job a day, with the industries it's built for.
docs.zerogpu.ai/docs/model-c…
ALT ZeroGPU card for ZLMs. Small AI models that each do one job well, instead of one big model doing everything. For any team running AI at scale. Benchmark figures: 5 zlms in the catalog today, 50+ languages, no translation step, $0.02 per 1m input tokens.
1
30
Limelight enriched 2.88M prospect rows on ZeroGPU in six weeks.
9.2x cheaper than Claude Haiku, 3.2x cheaper than Gemini 3.5 Flash-Lite, $12,739 saved. Signup to production in 34 hours.
Case study: zerogpu.ai/case-study/limeli…
ALT Limelight case study card: 2.88 million prospect rows enriched on ZeroGPU in six weeks, 9.2x lower cost than Claude Haiku and 3.2x lower than Gemini 3.5 Flash-Lite, $12,739 saved.
1
39
Save up to $10,000 in AI inference credit matching with committed usage on ZeroGPU.
Cut your AI spend by switching to our growing catalog of task-specific Small Language Models.
Using open-weight models like DeepSeek, GLM, Qwen, gpt-oss and Llama? ZeroGPU is the the most cost effective way to run that AI inference in production.
Get started -> zerogpu.ai
1
45
We already shared the first Small Language Model we've made open via @huggingface.
Now here's a deep dive on the SLMs we've released and why our approach is to make these models open.
Full story below 👇
1
33
Two new small language models are live on ZeroGPU: embeddings, to power semantic search RAG, clustering, and deduplication.
This is the model layer that lets your app match things by meaning instead of by keyword: A user types "cancel my plan." Your help center article says "end your subscription." An embedding model ensures the right recommendation is returned.
More than 40% of these kidns of enterprise AI tasks can run for less by switching to our SLMs.
1
36
Not every task needs a frontier model.
More than 40% of OpenRouter spend is already SLM-ready. By switching to the right small language model, you can reduce latency, cut costs by 5x.
We have more models coming soon. Stay tuned!
zerogpu.ai
2
3
74,756
ZeroGPU is now an @nvidia Inception member!
This gives us deeper access to the NVIDIA platform, tooling and ecosystem as we work to cut the cost of AI inference.
Run high volume workloads on our small and open-weight models on-edge.
- 5x savings
- 10x reductions
- the same accuracy at a fraction of compute
If you’re ready to start cutting your AI spend, check out our SLM catalog.
3
1
3
93
Its part of a broader commitment to make more of our specialized models openly available as our catalog grows.
Part of that is giving developers the freedom to run them through ZeroGPU or deploy them wherever they choose.
Want to run a hosted version of this model? platform.zerogpu.ai
1
1
30
ZeroGPU is heading to Chicago tomorrow for @1871tech's Emerging Tech Innovation Summit: Scale the System.
The lineup is stacked - Anthropic, Microsoft, Waymo, Stanford HAI & more.
We’ll be there to talk about how we're cutting AI inference costs, by moving tasks to specialized SLMs that run on-edge.
1
85
Automate your company's most recurring tasks, without involving an expensive frontier model.
Here's how you can screen resumes at scale using specialized Small Language Models (SLMs) & LangChain.
Add our catalog of SLMs to your Langchain agent:
pip install langchain-zerogpu
1
2
3
52
Our small langauge model for IAB classification zlm-v1-iab-classify-edge now covers 50+ languages directly.
Against GPT-5.4 Nano over 10,000 samples it wins 66% of head to head comparisons on accuracy, speed, cost and reliability combined.
Save your Frontier model tokens for high-level reasoning. Use ZeroGPU SLMs for everything else.
docs.zerogpu.ai/api-referenc…
2
50
ZeroGPU is now on LangChain 🦜
If you're running a @LangChainAI agent, a lot of what that agent does on every turn doesn't need frontier reasoning.
Point those tasks at specialized small language models instead and cut your inference bill.
1
2
4
99
Moderation sits in front of every response your app serves. At frontier prices that volume gets expensive fast.
So we trained an SLM to manage those tasks while running on edge.
Save frontier model work for where it counts - use ZeroGPU for those tasks you run constantly.
1
2
68
Moderation runs in front of everything your app serves.
Every message, every generation, every time. That's a lot of volume to be paying frontier prices for. So we built a new SLM for moderation, designed to run at the edge, using less compute to get more done.
We benchmarked our new zlm-v1-moderation-edge model head-to-head against OpenAI's omni-moderation-latest. Take a look at the results.
The takeaway? Save your frontier models for tasks that require deep reasoning. Use ZeroGPU for the repeatable work that runs a million times a day.
Full benchmark + docs linked in the comments ⬇️
2
3
8
465
If you're using a frontier LLM to handle basic tasks like PII redaction, you're wasting money.
That's why we're building specialized Small Language Models (SLMs) for the most popular, repeatable AI tasks. Here's an example running in Telegram via OpenClaw. Every important piece of information is redacted, at a fraction of the cost.
2
1
108
This week, ZeroGPU is in Las Vegas for the largest AI conference in North America.
3 days with 12,000+ attendees, 1,000+ speakers, and 400+ exhibitors across enterprise AI, agents, and infrastructure.
Find us on the floor to see how ZeroGPU cuts your AI inference costs.
1
1
46
Most teams are paying more for frontier models for simple tasks that don't need that level of complex reasoning.
That’s why we’ve built a compute-efficient layer for AI inference.
Tap into open-weight models through an OpenAI-compatible API or via our Claude Code Plug-in, with support for GLM-5.2, gpt-oss-120b, Qwen3, Llama 3.1, DeepSeek & Moonshot Kimi K2.
Get started: zerogpu.ai
11
10
258
ZeroGPU Router plugin is now on OpenClaw 🎊
Your host model is doing a lot of work you shouldn't be paying frontier prices for. Now with our router, your host model only takes on your highest-level reasoning tasks. The repeatable work runs on our SLMs and nano models.
20+ skills available. Three commands to install
2
1
2
62
Qwen3-30B is now live on ZeroGPU, and right now we are the most cost-effective way to run it in production.
Move your production reasoning workloads to our edge network and pay a fraction of what closed frontier models charge.
Docs to get started ⬇️
1
3
95
We just added gpt-oss-120b to ZeroGPU 🚀
For early adopters looking to build with top-tier open reasoning models, ZeroGPU is now the least expensive way to run gpt-oss-120b in production. 🧵👇
1
1
113
ZeroGPU Router is featured on the front page of ClawHub.com as a top plug-in!
Cut your AI inference costs: route repeatable tasks and workflows to specialized SLMs that can run our edge-powered inference network.
Try it today: zerogpu.ai
1
6
74
How do you know you're using the right tool for the job at hand?
Frontier models like OpenAI overthink & overspend, wasting tokens to think through tasks that really only require a fraction of their capability.
Save on your AI spend with the right SLM for your task.
zerogpu.ai
2
2
9
27,987
@PalantirTech CEO Alex Karp on @cnbc: devs "want control over their compute and their models"
We're helping you take control by routing your most repeatable work to more cost-effective small language models.
Reduce inference costs with zerogpu.ai
3
78
Our new specialized small language model is here: IAB domain classification.
It beat GPT-5.4 Nano on identical adtech tasks:
→ fewer wrong guesses
→ ~36ms vs ~1,900ms per URL - about 50x faster
→ 0 hallucinated labels - it can only emit valid IAB categories
Get started: docs.zerogpu.ai/api-referenc…
5
7
441
How have you approached cutting down on your token costs? Here's a quick fix: our new MCP server.
This cookbook shows how we reduce costs on the routine enterprise AI tasks you use most.
8
11
834
If you’re spending frontier model tokens for rote tasks like summarization... why?
There’s a better way.
Here’s how to cut your token spend on tasks like classification & summarization with our MCP + Claude Desktop.
1
2
134
We just shipped ZeroGPU’s MCP server 🎊
If you’re running an AI agent, your host model is probably doing a lot of work it shouldn’t be paying frontier prices for.
Our new MCP server fixes that.
ALT ZeroGPU launches their MCP, for specialized SLMs
2
1
3
112
Every AI company is now a token-efficiency business.
Uber is now capping AI spend for their team at $1,500/mo. Other orgs. like Walmart are following.
AI budgets are crashing into 2026's agentic reality. Efficiency is the moat.
1
65
If you're using a frontier AI like ChatGPT or Claude to perform basic adtech tasks like classification - save your $$$.
We just dropped our specialized small language models for adtech.
Thanks to @adexchanger for covering the launch in our first-ever feature interview.
6
2
17
1,061
Paying for a frontier LLM to do every task is like paying a rocket scientist to fetch your mail👨🔬🐕📩
That's what Small Language Models are for. Save LLMs for the high-level reasoning. Use our SLMs for everything else.
Save 50%+ & reduce latency by 10x
zerogpu.ai
1
1
14
52,469
Thanks to @Best_AI_Finder for naming us a top 20 AI tool of the week!
We're helping you save your frontier models for the heavy-lift, high-level reasoning tasks they were made for.
Use our specialized small language models for everything else.
zerogpu.ai
1
77
Every enterprise is reaching the same conclusion:
most AI workloads don't need frontier models.
With zerogpu.ai, we route the appropriate tasks to the right model for the job, including our specialized small language models.
50%+ lower costs. 10x faster.
7
1
9
1,235
How much does your team spend feeding basic data entry tasks to expensive frontier LLMs? 💸
If you're processing text one synchronous API call at a time, you're bleeding budget. 🧵👇
1
1
46
More love for ZeroGPU❤️
We were selected as a top AI tool - from a pool of over 10k launches!
In a world of tokenmaxxers, *reduce* your AI spend: we help you route your high-volume, repetitive enterprise tasks to specialized small language models.
zerogpu.ai
4
7
282
Thanks to @futurepedia_io for the newsletter feature, reaching 280k+ dev subs!
If you missed it: we reduce your AI costs by routing appropriate work to specialized small language models.
Check out why we’re named a Product Hunt Top AI Tool of the week - zerogpu.ai
1
75
Thanks to everyone who supported our launch this week.
We didn't just make top product of the day - @ProductHunt featured us as a top AI tool of the week too! 🥳
Congrats also to the other projects who were featured - Browse.sh, Minimi, Vaani & @ManusAI.
5
3
14
1,136
We hit #2 on Product Hunt today. 🎉
Thanks to everyone who upvoted, commented, and shared. For a small early-stage team, this kind of support means everything.
The day isn’t over yet! We’d love your support as we push for #1 👇
🔗 producthunt.com/products/zer…
1
6
469
We just launched on @ProductHunt 🎉
Most teams are overpaying on AI. Tasks are being sent to expensive frontier models. It’s token overkill.
That’s why we’re building small language models, lowering costs by up to 50% and reducing latency by 10x.
11
5
27
215,118
Here's how to reduce costs & improve results: pair Claude Code w/ a specialized small language model.
In this example cookbook, our specialized SLM redacts PII within Claude Code.
Our router plugin lets Claude decide which tasks are pushed to our specialized, cheaper models.
1
1
5
112
Are your AI costs too high?
We’re giving developers access to a growing catalog of more efficient, specialized AI models through a single API—including leading open-source models like Meta’s Llama 3.1.
1
2
3
94
Not every task you run in @Claude Code needs frontier-model reasoning. But most AI coding workflows are still sending every request to the largest model available.
That's why we built a new plug-in that that routes lightweight workloads to specialized nano language models.
1
2
73
Our Batch API is built for AI workloads that do not need to happen in real time, helping you save on costs.
Instead of sending each request one by one:
upload a JSONL file
submit it as a batch job
retrieve the results when processing is complete
1
1
5
157
Batch Processing is now available in ZeroGPU!
Upload JSONL, create an async batch job, poll status, and download results when complete. Great for bulk classification, extraction, moderation, summarization, and offline AI workloads.
Docs and playgrounds: docs.zerogpu.ai/api-referenc…
ALT Batch processing is now available on ZeroGPU
1
3
92
On the latest All In podcast, Marc Benioff described the problem with Al today: an overreliance on frontier general use Al to solve every problem.
Not even task needs a 'frontier' general use model.
That's why we've built ZeroGPU.ai - to cut down on AI waste.
1
3
169
@liquidai's LFM2.5 models are now live on ZeroGPU.
Access LFM2.5-1.2B-Instruct and LFM2.5-1.2B-Thinking through our global edge inference network to run efficient small language models.
Get started today:
zerogpu.ai
2
2
14
2,780
Most AI workloads don’t need frontier models.
PII detection with GPT-5.4:
$10,000/month
Same workflow on ZeroGPU:
$400/month
96% lower cost.
$115k+ saved annually.
The future of AI infra is specialized models routed intelligently, not sending every request to the biggest model.
1
1
4
389
We benchmarked DeBERTa-v3-small on ZeroGPU against Gemini Flash for IAB Tier-1 classification.
Results on the same 50-sample evaluation set:
DeBERTa on ZeroGPU
• 100% accuracy
• ~1.3s latency
Gemini Flash
• 92% accuracy
• ~27s latency
For narrow production tasks, specialized models win.
Smaller.
Faster.
Cheaper.
More deterministic.
Read here: zerogpu.ai/blog/deberta-zero…
2
5
134
Big news for ZeroGPU builders!
Official API SDKs are LIVE: same API, pick the stack you already use: TypeScript / JavaScript, Python, Go, Ruby, Java, Rust, C# / .NET, PHP, and Swift.
Typed clients for our Responses API, plus chat completions where your model supports it, so you spend less time on plumbing and more time shipping.
Docs: docs.zerogpu.ai
Dashboard: platform.zerogpu.ai
Website: zerogpu.ai
npm (JS/TS): npmjs.com/package/zerogpu-ap…
PyPI (Python): pypi.org/project/zerogpu-api…
GitHub (All SDKs): github.com/zerogpu/SDK
3
91