Xander U

Tweet's are my own! Marketing @NVIDIA

[NVIDIA AI Infrastructure @NVIDIAAIInfra]

A big thank you to @NetApp for the incredible energy at NetApp Converge and for engaging with their sales community firsthand! It's great to see how NVIDIA is helping NetApp customers move faster on AI and data-intensive workloads.

Learn more: https://t.co/lxIE2VLojx

[NVIDIA @nvidia]

"AI has created more than half a million jobs. Companies that use AI grow faster. When they grow faster, they hire more people."

NVIDIA CEO Jensen Huang counters threats of job displacement in his conversation with SCSP's @Ylli_Bajraktari on Memos to the President.

[NVIDIA @nvidia]

We are officially one month away from #NVIDIAGTC Taipei at COMPUTEX.

Join us as we return to Taiwan to unveil the next era of AI redefining the world.

See you in Taipei.

[Xander U @xuyleman]

Thoughts? Coexistence Over Conquest: What Greg Graffin's Population Wars Teaches Us About AI https://t.co/MdXdCXxylO via @LinkedIn #BadReligion #AI #NVIDIA

[Xander U @xuyleman]

Never stop no matter whatever happens #skateboarding #skateboardvibes #s... https://t.co/ysmPWOOYjc via @YouTube

[Daniel @danielisdizzy]

As Larry Ellison $ORCL says, all AI models — ChatGPT, Gemini, Grok, Llama — are trained on the same publicly available internet data.

That’s the main reason AI models are becoming commoditized.

The real moat isn’t the model.
It’s proprietary data.

Training models on data no one else has is how a company can own its market.

[Xander U @xuyleman]

Tre flip challenge started #skateboarding #TreFlip

https://t.co/ErmsCLduFN

[Xander U @xuyleman]

@dittycheria Ottoman Empire's 15th and printing press ban initially protected jobs short term, but created European dependency and major decline long-term. Sound familiar...

[Daniel @danielisdizzy]

Larry Ellison $ORCL explains that all AI models — ChatGPT, Gemini, Grok, whatever you name — are trained on publicly available internet data.
But to reach their peak value, these models must be trained on publicly owned data.

Proprietary data will become — if it isn’t already — the most powerful moat of all.

That’s why companies like $HIMS are destined to thrive.

Which other companies will massively benefit from their proprietary data? 👇

[NVIDIA @nvidia]

Our Founder and CEO Jensen Huang made a surprise stop at our #SC25 opening gala!

After sharing his vision for the future of accelerated computing, he handed out NVIDIA DGX Sparks to a few lucky winners and even signed our signature cocktail glasses.

What a way to kick off #SC25! 🎉

We are leading with innovation across the stack. Dive into the rolling blog for all the breakthroughs: https://t.co/ExxmQrXYyk

[Xander U @xuyleman]

@DDNintelligence and @NVIDIA enabling the trillion parameter AI factories!

[NVIDIA Networking @NVIDIANetworkng]

🧠 What does the next chapter of AI supercomputing look like?

That's what everyone at #SC25 is asking and why NVIDIA BlueField-4 is the talk of the town.

NVIDIA BlueField-4 DPUs—powered by a 64-core NVIDIA Grace CPU and NVIDIA ConnectX-9 SuperNIC—free CPUs/GPUs for compute, unlocking zero-trust security and real-time, multi-tenant protection.

✔️ Accelerates networking, storage, security
✔️ Drives intelligent, scalable AI factories

Check out what leaders at SC25 are building with BlueField-4 and ConnectX-9: https://t.co/qmvzH5BZ9O

[NVIDIA Networking @NVIDIANetworkng]

🧠 What does the next chapter of AI supercomputing look like?

That's what everyone at #SC25 is asking and why NVIDIA BlueField-4 is the talk of the town.

NVIDIA BlueField-4 DPUs—powered by a 64-core NVIDIA Grace CPU and NVIDIA ConnectX-9 SuperNIC—free CPUs/GPUs for compute, unlocking zero-trust security and real-time, multi-tenant protection.

✔️ Accelerates networking, storage, security
✔️ Drives intelligent, scalable AI factories

Check out what leaders at SC25 are building with BlueField-4 and ConnectX-9: https://t.co/qmvzH5BZ9O

[NVIDIA AI Infrastructure @NVIDIAAIInfra]

🚀 Congratulations to @Starcloud_Inc1 on a successful launch. NVIDIA GPUs are now officially in space. #AcceleratedComputing

Benefits of a space-based data center:
🛰️ Running inference in space, where the data is collected, allows insights to be delivered nearly instantaneously
⚡ Reduced response time delivers immense benefits for applications in wildlife detection and distress signal response
🌎 Offers 10x lower energy costs, reducing the need for energy consumption on Earth

Learn more about the #NVIDIAInception startup's mission on NBC News: https://t.co/cgtE5bX6Pc

[Supermicro @Supermicro]

Thrilled to see @DDNintelligence launch the DDN Enterprise AI HyperPOD™, proudly built on Supermicro’s high-density server and GPU systems and accelerated by @nvidia, delivering up to 99% GPU utilization and scalable AI from 4 to 256 GPUs!

Learn more 👇

[Xander U @xuyleman]

DDN unveils turnkey Enterprise AI HyperPOD built on Nvidia platform https://t.co/FBvfarqPJB via @BlocksandFiles

[Supermicro @Supermicro]

DDN launches Enterprise AI HyperPOD built with Supermicro storage servers and GPU systems.

This turnkey enterprise AI and RAG solution uses DDN Infinia software, Supermicro systems, and @nvidia Enterprise AI software.

Learn more: https://t.co/y2HIE3GtnD

🤝@DDNIntelligence

[DDN @DDNintelligence]

We're excited to launch DDN Enterprise AI HyperPOD, built on @Supermicro, accelerated by @NVIDIA — a turnkey AI data platform that makes enterprise inferencing instant and scalable.

Why it matters:
• 99% GPU utilization and record density to end data bottlenecks
• XS → Large modular RAs (8–512+ GPUs; 300TB–20PB+) to grow from pilot to AI factory
• Hybrid freedom with OCI & Google integrations
• Built for HCLS, Manufacturing, FSI, Automotive, and Sovereign AI

🔗 Learn more: https://t.co/bQxLkxrEKM
📅 Meet us at GTC-DC or book a 1:1: https://t.co/Q8kEVcytWH
📹 Join our webinar to learn more: https://t.co/avMaIc6mBQ

#Supermicro #NVIDIA #NVIDIAGTC

[Xander U @xuyleman]

Lots of news during #NVIDIA #GTC! https://t.co/vs5WLeVcTb via @LinkedIn