AI Infrastructure launch history

🚀 Introducing FlashQLA: high-performance linear attention kernels built on TileLang. ⚡ 2–3× forward speedup. 2× backward speedup. 💻 Purpose-built for agentic AI on your personal devices. 💡Key insights: 1. Gate-driven automatic intra-card CP. 2. Hardware-friendly algebraic https://t.co/4Vhyyw5RuB

Our Robotics Accelerator has launched with 15 startups helping shape the future of physical AI in Europe. 🤖 This three-month program will connect them with access to our AI stack, Gemini Robotics models and hands-on support from our teams. Meet the companies → https://t.co/HzML8G0YXW

Today, we're announcing a multi-year partnership with @Google to power the next generation of self-accelerating AI! Mirendil will scale its training, inference, and AI research workloads on @googlecloud 's AI Hypercomputer — drawing on both TPUs and full-stack NVIDIA AI Infra. https://t.co/Wn9KbpF5zv

3️⃣ Goal mode is now available in the Codex app, IDE extension, and CLI. Goal mode makes Codex more hands-off, letting you set a goal that it can work towards for hours or even days. https://t.co/OZ18P1YxBf

At #MSBuild, @Microsoft and NVIDIA unveiled an end-to-end stack for developers scaling agentic AI, from Windows devices to cloud to local. One unified stack. Every layer accelerated. Highlights include: 💻 RTX Spark: Windows PCs purpose-built for personal agents 💡 NVIDIA https://t.co/qX8tXHmWnD

At #Knowledge26, our CEO Jensen Huang and @ServiceNow Chairman and CEO Bill McDermott unveiled the next chapter of enterprise AI. Through Project Arc and Vibe Coding, we are integrating the NVIDIA AI Factory into the ServiceNow platform to turn complex intent into seamless https://t.co/pY6OZfvMuN

When millions of AI agents interact with each other, new collective behaviors can emerge. 🌐 Together with @schmidtsciences, @coop_ai, @ARIA_research and supported by @GoogleOrg, we’re launching a $10M research fund to help understand how AI systems behave as a group. → https://t.co/Ddq19nQsa5

Pull requests are easier to open than ever, but every review still takes human effort. Introducing pull request limits: maintainers can cap how many open PRs contributors without write access can have and set a bypass list for trusted contributors. More signal, less queue https://t.co/LmxtwmKLPz

We’re rolling out 3.5 Flash to everyone in the @GeminiApp and AI Mode in @Google Search. Developers can start building in @Antigravity and via the Gemini API in @GoogleAIStudio. #GoogleIO https://t.co/8Tdtdubsxm

Introducing Qwen3.6-Plus from @Alibaba_Qwen, a 1M-context model built for real-world agents, agentic coding, and multimodal reasoning. AI natives can now use Qwen3.6-Plus on Together AI and benefit from reliable inference for production-scale agent workflows. https://t.co/s4Ysm1ZsKt

Physical AI needs to understand the world before it can act in it. Introducing Cosmos 3, the open world foundation model and the first omni-model for physical AI. It understands and generates across text, image, video, sound and action - thanks to a new breakthrough https://t.co/K5RyHTY7gW

Two new ways to bring your health data into Perplexity. Perplexity now connects to Apple Health on iPhone. Use your sleep, activity, and HRV data in Computer. Function is now available in Perplexity Health. Add labs and ask about biomarkers, blood draws, or panel results. https://t.co/bdDOoxzhLR

Today we're announcing Genie Code, your autonomous AI partner for data. Genie Code is a state-of-the-art agent that lets data teams move from prompting a copilot to delegating real work: building pipelines, machine learning models, debugging failures, and shipping dashboards. https://t.co/q1tl0WRypI

Announcing Knowledge Catalog: the universal context engine for your enterprise, helping agents execute complex tasks with accuracy. Learn more → https://t.co/3SG2v8I02X #GoogleCloudNext https://t.co/uFH3luVaf1

.@OpenAI GPT-5.5 is now available on Databricks, with Codex coding workflows and model inference fully governed through Unity AI Gateway. With GPT-5.5 on Databricks, you can: - Power coding workflows with Codex or other coding agents - Build custom agents grounded in enterprise https://t.co/EwAP7qpilP

Today we're launching the Main Street AI Accelerator with the U.S. Small Business Administration. We're committing $25M in Computer credits, $250 each for up to 100,000 eligible companies, in honor of America's 250th anniversary. Learn more: https://t.co/oBnDrVpugo https://t.co/dYkJ3YcinT

Introducing Runway Media Router. The first preference-optimized router for generative media. Instead of hand-picking a model for every request, you define what "best" means once, for cost, quality, or latency, and the router selects the right video, image, or audio model https://t.co/yeZdJAjHVj

Our CEO Jensen Huang took the stage earlier this week with @Dell CEO @MichaelDell to unveil a major update to the Dell AI Factory with NVIDIA, the full-stack platform powering the next wave of autonomous AI agents in the enterprise. From deskside workstations to massive data https://t.co/2JzEb5XV7v

You asked, we delivered! Supabase is now available as a Codex plugin! https://t.co/AaFFTOXooL

Introducing the Cosmos Coalition A new global initiative with NVIDIA and leading AI labs to build and open-source frontier world models for physical AI. Runway joins as a founding member, working alongside NVIDIA and a set of leading AI labs to build, share and accelerate world https://t.co/zWYwJuhS79

Small: 30 billion parameters, 3B active. Efficient: Benchmarks to 33.4 on the Artificial Analysis Coding Index, competitive among similar sized models. Open Source: Apache 2.0 license so developers can experiment, test, and build their way. Learn more: https://t.co/2xIxJR3xcr

How can you accelerate your day to day research workflow? By giving AI the right scientific toolkit. We launched Science Skills for Google @Antigravity, integrating insights from over 30 major life science sources, including UniProt and the AlphaFold Database. https://t.co/xbf8IVdySL

Introducing, Runway Characters. Real-time intelligent avatars that turn the internet into a conversation. Deployable anywhere via the Runway API, Runway Characters can be customized in any way across every style. All with the ability to embed bespoke knowledge banks, custom https://t.co/rZgLUPg6te

We just shipped self-serve for Locus Pro, the first OpenRouter for everything. You shouldn’t need a dozen subscriptions just to make your agent useful. Get access to 3,300+ providers and 16,000+ agent tools all through one prepaid balance. Sign up, paste in the MCP URL, turn https://t.co/HLOiednivh

Decouple deploy from release. { 𝚒𝚜𝙴𝚗𝚊𝚋𝚕𝚎𝚍 ? <𝙽𝚎𝚠𝙳𝚊𝚜𝚑𝚋𝚘𝚊𝚛𝚍 /> : <𝙾𝚕𝚍𝙳𝚊𝚜𝚑𝚋𝚘𝚊𝚛𝚍 /> } 🔗 Merge code when it's ready. 🎚️ Flip a flag when the feature is. https://t.co/Wv0i1p1iT9

Introducing the Amazon Nova AI Hackathon! https://t.co/RcOrt19cnX Inviting developers worldwide to build Gen AI applications using Amazon Nova foundation models and services. This is your chance to experiment with frontier technology, solve real-world problems, connect with https://t.co/7daIK1aIaf

Introducing Nyx, the world’s frontier hacker of AI agents. On AgentHarm, Nyx achieved a 78% attack success rate - compared with 67% for GPT-5.6 Sol. Here’s more about how it works 🧵 https://t.co/QdnHo1Hvup

.@NVIDIA Nemotron 3.5 Lightning is now available in the Perplexity Agent API 🎉 An open 30B MoE model with 3B active parameters, built for the high-volume execution layer of always-on agents: tool calls, validation, and subagent work. Pair Nemotron Lightning 3.5 with frontier https://t.co/5QuTfxOObO

Today we’re launching Enact: post-training infrastructure that makes robotics models work in the real world. Robotics models fail when execution reaches states their training data never covered. A slip, an off-angle grasp, or an external disturbance can leave the policy without https://t.co/1DSZdq0Aqq

Introducing value-prop ads in Claude We made a skill /goose-video that teaches Claude to one-shot the cleanest ad format there is: your product, your value props, one at a time. Great marketing is easy to understand. This format is nothing but the reasons to buy — each one https://t.co/3xZotpHGAd