Nima retweeted
I was the opening act for a family of ducks.
Thank you, Berlin. What a GTC.
Europe is building its AI ecosystem and economy, from AI factories to agents to robots.
DSX POD: Vera Rubin modular factories built, cabled and tested in the factory, then delivered ready to produce intelligence.
Agents: models, harnesses, sandboxes, knowledge and tools. NVIDIA Agent Toolkit brings the pieces together so companies control what their agents know, access and do. NVIDIA OpenShell enhances safety.
Physical AI: new customers across AI-RAN, robotaxis and robotics.
Personal AI: after four years building with Microsoft, RTX Spark brings personal agents to the Windows PC.
Thank you to President @EmmanuelMacron, Prime Minister @andyburnham and Chancellor @bundeskanzler for hosting me. Great to celebrate Sferical One with Sweden’s technology leaders. And thank you to President @TokayevKZ for the warm welcome.
And to our partners and NVIDIA teams: thank you for making it happen.
The keynote is here: youtu.be/rF1EsryCAwc
Nima retweeted
The robots, stomping their little feet and making tiny R2D2 noises, sat, fell down dead for a "nap," and summersaulted on voice command.
spr.ly/6011BHb4Yt
AI agents need to know your business to be useful.
At GTC Berlin, we’re adding NVIDIA Agent Knowledge Foundation to NVIDIA Agent Toolkit. It helps agents find relevant information, make predictions and help people decide what to do next.
OpenShell gives teams control over what agents can access and do.
Learn more: nvda.ws/4zJtVRh
Nima retweeted
The relationships in your data provide the strongest signal to predict what happens next.
@nvidia's newly open-sourced Kumo runs with Snowflake ML, giving enterprise agents and applications the ability to forecast outcomes, score risk, and recommend actions directly from business data, without building a custom machine learning pipeline for every request.
Learn more 👉 bit.ly/4zQahDr
Nima retweeted
Databricks and @nvidia are expanding our collaboration so enterprises can customize open models on their own data and take them all the way to production.
With AI Runtime, developers can use NVIDIA NeMo, NGC containers and new Nemotron cookbooks to train and fine-tune models on serverless NVIDIA GPUs alongside governed enterprise data. Nemotron 3.5 lightning and Super VL are also ready to load, adapt and serve on Databricks from day one.
Customize with governed enterprise data. Serve in production. All on Databricks.
databricks.com/blog/databric…
Germany knows how to build, and now it’s bringing that expertise to industrial AI. 🇩🇪
Tonight in Berlin, @JensenHuang and Chancellor @_FriedrichMerz discussed combining German engineering with NVIDIA AI to advance manufacturing and automotive.
We’re also backing Germany’s builders, with new planned investments in Agile Robots SE, @aveliosmed, @MireloAI, and @reflexaerospace, spanning robotics, healthcare, creative tools, and space.
Meet the companies and catch up on today’s news from Berlin: blogs.nvidia.com/blog/german…
Nima retweeted
Jensen joined the RTX Spark launch party in Berlin! 🔥
Winning a signed RTX Spark system is pretty special. Having Jensen personally hand it over? Even better.
Congrats to our giveaway winners in Berlin!
The next decade of driving, built together.
We’re expanding our strategic partnership with @MercedesBenz AG to develop the next generation of driver assistance and automated driving systems.
All while upholding the high safety standards expected from a Mercedes-Benz.
Learn more about the collaboration: nvda.ws/3WtfQJi
.@JensenHuang wrapped up his Paris visit at the Élysée with President @EmmanuelMacron, discussing NVIDIA’s investments in France’s AI ecosystem, open source, and AI safety.
Our road to #NVIDIAGTC Berlin continues.
Nima retweeted
The #NVIDIAGTC pregame show is back. This time, from Berlin.
Don’t miss hosts Gavin Baker & Deirdre Bosa in conversation with the builders and leaders creating, scaling, and putting AI to work across Europe.
Watch live October 21 at 9 a.m. CEST, streaming worldwide.
📺 nvda.ws/4hUbSQW
A new beginning for @Windows PCs deserves a global celebration.
Join us at one of our @NVIDIARTXSpark launch events. Try out demos on the new laptops, pick up some swag, and enter for a chance to win an @ASUS ProArt P14 RTX Spark laptop signed by Jensen. Plus, more exclusive experiences to discover at each stop.
Here's where we'll be:
• Beijing
• Berlin
• Istanbul
• Seoul
• San Francisco
• Taipei
📍Event details and how to join us coming soon.
Nima retweeted
Awesome day, @satyanadella!
Windows sparked a platform shift that created a new industry for NVIDIA. Then we invented programmable shading GPUs for DirectX, which led to CUDA.
Then we partnered to bring GPU supercomputers to Azure, which helped OpenAI train GPT. That collaboration inspired us to reinvent Windows for the age of personal agents.
4 years. Thousands of engineering years between us.
So proud of what we built together.
Great to partner with NVIDIA as we kick off this next chapter for Windows.
Thank you @JensenHuang and @sriramk for joining us today!
Nima retweeted
Replying to @JensenHuang
@JensenHuang joined @satyanadella for a fireside chat at today’s @Windows Surface event, alongside the new Surface Laptop Ultra powered by RTX Spark. ⚡
Nima retweeted
The #NVIDIAGTC Berlin keynote is almost here. 🎤
NVIDIA founder and CEO Jensen Huang takes the stage at the Tempodrom on October 21 at 11 a.m. CEST. Watch the livestream from anywhere.
Add it to your calendar: nvda.ws/472U4OQ
We indexed 138M vectors in under 10 minutes.
Benchmarked on MS MARCO: 138M vectors at 1,024 dims, from ~4 TB of documents, on 8 NVIDIA RTX PRO 6000 GPUs at 95% target recall:
Built with NVIDIA cuVS @NVIDIAAI
- Indexing throughput: 38K docs/s on CPU, 281K on GPU
- 6x lower p90 search latency under concurrent indexing load
- Force merge: roughly 4 hours down to 5 minutes
- Same recall profile as CPU-built indexes
Benchmarks, setup instructions, and the Rally track parameters: go.es.io/3VPp1n2
Nima retweeted
Yesterday at the White House, leaders from across our industry came together to sign the White House Accord on Super Intelligence.
The principle is simple: the companies building this technology have the primary responsibility to develop and deploy it safely, and to be accountable when they fall short.
The Accord reinforces that responsibility with robust internal controls, independent external evaluation, and board level oversight.
Super Intelligence offers an extraordinary opportunity to advance discovery, productivity, security, health, and prosperity.
The future of Super Intelligence will be shaped not only by what it can do, but by the confidence it earns. By building with ambition, rigor, and responsibility, we can help ensure this extraordinary technology expands opportunity and improves lives for generations to come.































