Running AI locally on your computer usually requires separate tools for serving, fine-tuning, testing, and benchmarking.
One tool may need an update that another can't work with. Fix one, break another.
Local AI should let you focus on building, not fixing the setup.
Here’s how to run it all in one place without tools clashing or updates breaking your setup. 🧩
For 20 years, we’ve believed everyone will be a gamer. AI could bring that future closer, making gaming more personal, creation more accessible, and development more efficient.
In a recent interview with @FortuneMagazine, our CEO Min-Liang Tan shares how AI could help gaming become a trillion-dollar industry, with innovations across our AI pipeline, from Razer Barracuda AI and Razer AVA to QA Companion-AI, reshaping how we experience, create and develop games.
Read more: rzr.to/fortune_26
#Razer #AI #Gaming #ForGamersByGamers #Innovation
Razer AIKit v0.8.0 is here. ⚡
This release brings System One decision models to AIKit, with two open-source model families ready to run locally:
→ Mapika Decider: 0.8B / 2B / 9B
→ AutoTrust Jev: 9B / 27B / 27B-VL
But instead of only benchmarking tokens/sec... We let
it play DOOM. 🔫
More results soon.
View the latest release on GitHub: rzr.to/aikit-gh
Highlights:
1️⃣ System One Decision Models 🧠
2️⃣ vLLM v0.30.0 Engine Upgrade ⚙️
Ambient AI isn't AI that's always watching. It's perceptual intelligence that's ready when you are, with the context already in hand.
Most wearables pick one sense: glasses see, earbuds listen. Context needs all of it: what you see, what you hear, and what you've already said.
It also has to earn its place on your body: comfortable for hours, obvious when it's on, easy to switch off.
Form factor decides what the AI can perceive, and whether you keep wearing it.
What would it take for you to wear AI all day? 🤔
#RazerBarracudaAI
🤖 Made with AI
AI has evolved. The way we access it hasn’t.
Models can now reason across text, images, audio, and code. But using them is still largely manual:
1⃣ Unlock phone
2⃣ Open an app
3⃣ Capture or type the context
4⃣ Send it and wait for response
The problem is context. AI still depends on people to translate the world around them into prompts.
The next step is AI that can understand what is in view and respond in context, with fewer steps in between. Less time explaining, more direct interaction with the world around us.
Be the first to experience AI beyond the screen: rzr.to/barracuda-ai
🤖 Made with AI
A new frontier model landed this week. Invite-only first, paid tiers next, everyone else eventually.
The one on your Razer Blade shipped the day you downloaded it.
No queue. No tier. No waiting.
rzr.to/blade18
🤖 Made with AI
The difference is where the question starts.
On a phone, you describe your situation first. Take a photo, open an app, type it out.
With AI-native hardware, your situation is already part of the question. Look at a menu abroad and just ask: "What's good here?" Hands-free.
That's the idea Project Motoko first showed. Now it's taking shape as Razer Barracuda AI.
Be first to see what's coming: rzr.to/barracuda-ai
Airplane mode on. Wi-Fi off. 35,000 feet up.
Your voice agent still answers. STT, LLM and TTS all run on one laptop GPU, powered by @Alibaba_Qwen models and tied together with Razer AIKit.
Build yours at rzr.to/aikit 🤖
You saw the first glimpse of Project Motoko at CES 2026. Today, it has a name: Razer Barracuda AI.
What began as a vision for the next frontier of wearable AI is taking its next step. Coming soon: rzr.to/barracuda-ai
Private AI shouldn’t stop at inference. Your documents and retrieval pipeline can stay local too.
Our latest walkthrough brings together @BAAIBeijing BAAI BGE and @Alibaba_Qwen Qwen/Qwen3.5-4B to build an end-to-end local RAG pipeline with Razer AIKit.
#LocalAI #OpenSource
Yesterday at the @techinasia panel, Razer's CSO Li Meng Lee joined leaders from OpenAI and Canva to discuss how global brands scale for local markets, in front of 300+ attendees.
On the panel, he spoke to why AI matters in gaming's high-stakes launch environment and how Razer Indie Lab @WYVRN_official is helping developers get it right before they ship, from AI-powered QA to content creation with partners to payment support for emerging markets.
Learn more: rzr.to/indielab
Your docs. Your GPUs. Your AI. ⚡
Razer AIKit v0.7.0 is here: rzr.to/aikit
🔎 Build local RAG pipelines and ask questions across your own documents
🚀 Now powered by vLLM v0.28.0 + vLLM-Omni v0.28.0
Here’s what’s new 🧵👇
🔎 RAG Pipelines: Build end-to-end RAG pipelines locally with document ingestion, embedding generation, and knowledge retrieval
▶️ @trychroma ChromaDB + semantic search + cross-encoder reranking
▶️ @OpenWebUI integration - guide in rag.md
▶️ Custom RAG pipeline - guide in 11.RAG Jupyter Notebook
⚡ @vllm_project v0.28.0 + vLLM-Omni v0.28.0. engine upgrade
▶️ Expect faster MoE inference, improved batching, prefix caching & Blackwell GPU execution
▶️ Expanded multimodal serving, model, quantization and accelerator support








