Alpie Core from 169Pi is the AI that’s truly changing the future – without feeding the bubble! 32B parameters, fully 4-bit quantized and trained on just 8 NVIDIA Hopper GPUs. ✅ 75% less VRAM ✅ ~10x cheaper than GPT-4o ✅ Strong in multi-step reasoning, coding, math, and complex tasks No more brute-force scaling. This is efficiency real reasoning in one. That’s how Alpie solves the AI bubble: powerful AI for everyone, without astronomical costs and energy consumption. Sustainable, open-source, and ready for the real world. Try it for free → 169pi.ai or Hugging Face #AlpieCore #EfficientAI #ReasoningAI #AIBubble #169Pi

Big things coming for $PIE #AlpieCore @169Pi_ai

Two years ago, when everyone said “don’t build LLMs, only giants can” we built one anyway. Not a wrapper. @169Pi_ai built Alpie Core 32B trained at 4-bit. Not just inference. Not just API access. Actual infrastructure. At the @IndiaAISummit, I spoke about why we chose deep reasoning and real enterprise deployment over demo-driven hype. Because real AI at scale is about: • Efficiency • On-prem deployment • Local integration • Sovereign capability 4-bit isn’t a marketing angle. It’s a strategic advantage. The future of AI will not be 100% cloud-controlled. It will be efficient, deployable, and owned. And we are building exactly for that future. Now: • Alpie Core V2 is underway • A first-of-its-kind foundation model is coming from @169Pi_ai • A major strategic partnership is about to close • AI x Blockchain integration is in motion We didn’t come this far to slow down. From India. For the world. @BizChirag @169Pi_ai #169Pi #AlpieCore #AIInfrastructure #SovereignAI Thank you for the interview @ndtv @aayush_a6 @rahulkanwal

Soon everyone will be building with with #AlpieCore @169Pi_ai $PIE

From India to the world, they're already making waves at Davos 2026 and showing how Ai can impact real world decisions. Exicted to see where this goes. @169Pi_ai #Ai #AlpieCore #Innovation #FutureTech

$PIE team is developing crazy stuff! Keep up with us! #alpiecore

Alpie Core SDK & CLI are now live We’ve released the official Python SDK and CLI for Alpie Core, our 32B reasoning model running natively in 4-bit precision, designed for production use. Key capabilities: • 65K context length for long documents and multi-step reasoning • Python SDK (sync, async, streaming) • CLI for fast local testing and automation • OpenAI-compatible API surface • ~75% lower memory footprint vs FP16 deployments The SDK is validated on Python 3.10–3.12 and tested under real async and streaming workloads. You can get started directly from our website with your first API key includes 5 million tokens free. We’re also open-sourcing the SDK, GitHub link below. If you’re building systems that need strong reasoning at deployable cost, we’re happy to collaborate on pilots and early integrations. We’d also love to hear feedback, improvements, and learn from anyone building on Alpie-Core as we work toward the v2 release. GitHub (Python SDK CLI): github.com/169Pi/Pi169-SDK Docs and quickstart included. 169pi.ai/ playground.169pi.ai/ alpie.ai/ #orynth #alc #alpiecore #alpie #169pi #ai #llms #chatgpt #sdk #api #IndiaAI

ALPIE is finally live. For a long time, something felt missing to me. We kept seeing powerful AI assistants being built globally, but none coming from India on our own models, open for people here to actually use. That gap stayed in my head while we kept building. For months, people asked when they could really try what we were working on. Not screenshots. Not demos. Not private links. Just… use it. Today, anyone can. This launch is not about perfection. It’s not about features being “done.” It’s about putting an Indian-built AI assistant, on our own model, into real hands for the first time. ALPIE is meant to be used with people you already think and work with. Co-founders. Colleagues. Partners. Friends. What matters to me is not how it looks on day one, but what it becomes once real users start shaping it with us. Shipping this felt different from earlier launches. Less noise. Less adrenaline. More responsibility. Because now it’s no longer just our belief. It’s in your hands. If you try it and something feels useful, tell us. If something feels missing, tell us that too. We’re still early. Still building. But today, ALPIE is finally out in the world. Try ALPIE: alpie.ai/ 169pi.ai #AI #LLM #LLMs #chatgpt #ChatGPT #gemini #indiaai #alpiecore #alpie #169pi

I’ve been browsing Product Hunt all day. Most launches look great on the surface. This one is 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁. 𝗔𝗹𝗽𝗶𝗲 𝗖𝗼𝗿𝗲 is trending today, but the real story isn’t the screenshots — it’s what’s happening 𝘂𝗻𝗱𝗲𝗿 the hood. A 𝟯𝟮𝗕 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹, running efficiently in 4-bit, designed for people who actually 𝘀𝗵𝗶𝗽 things. Not another wrapper. Not hype-first AI. At this scale, it’s easily one of the 𝗺𝗼𝘀𝘁 𝘀𝗲𝗿𝗶𝗼𝘂𝘀 open-source models I’ve come across — especially when you factor in 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 and 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 usability. What caught my attention: – 𝗦𝘁𝗿𝗼𝗻𝗴 reasoning & coding performance – 𝗦𝘂𝗿𝗽𝗿𝗶𝘀𝗶𝗻𝗴𝗹𝘆 efficient on lower-end GPUs – 𝗢𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲, with real benchmarks and a usable API You can tell this was built by engineers who care about 𝗰𝗼𝘀𝘁, 𝗶𝗻𝗳𝗿𝗮, and 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 — not just demos. They’re also quietly giving builders some 𝗳𝗿𝗲𝗲 API credits during the holidays, which is a nice touch — but honestly, the 𝘁𝗲𝗰𝗵 itself is the reason to look. If you’re a builder, this one’s 𝘄𝗼𝗿𝘁𝗵 a look 👇 producthunt.com/posts/alpie-… Curious to see where they take 𝗩2. #AI #LLM #OpenSource #Developers #ProductHunt #MachineLearning #BuildInPublic #AlpieCore #AIInfrastructure

【速報】低VRAMで動く高性能AIモデル「Alpie-Core」爆誕！🎉 「ハイスペックPCがないと無理…」そんな常識を覆すAIモデルが登場しましたよ！🚀 なんと「Alpie-Core」は、フル精度モデルを超える性能で、VRAM消費を75%も削減！✨320億パラメータの推論モデルが、従来の約1/4のVRAMで動くんです！ これは、すごい「4ビット量子化」技術のおかげ！ ✅高価なGPUがなくてもOK ✅手元のPCで高度なAIを動かせる ✅Apache 2.0ライセンスで商用利用も可能 まさにAIの民主化を加速する一歩ですね！🙌 個人クリエイターさんにとっては、月額費用を抑えつつ、機密性の高い仕事でもAIを活用できる「最強の武器」になるはずです！ ぜひ試して、皆さんの可能性を広げてくださいね！💡 #AI活用 #生成AI #AlpieCore

We’re excited to announce the launch of our first open-source dataset on Hugging Face, the 169Pi Science-QnA dataset. This marks the start of our journey towards the release of Alpie Core on the 23rd, a significant leap in AI reasoning that the world has yet to witness at 169Pi AI. We are devoted to pushing the boundaries of AI and contributing to developers, companies, and the open-source community. The Science-QnA dataset is designed for use across multiple domains and applications, supporting research, education, and real-world AI solutions. This is just the start as we’ll continue releasing more exciting resources this month and beyond. huggingface.co/datasets/169P… #AI #OpenSource #MachineLearning #Education #169Pi #AlpieCore #dataset #huggingface