Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Using the provided reference image, preserve the exact compositional architecture with subject dominating left third in tight close-crop, deep blue-purple cinematic lighting, wispy smoke bleeding rightward, and melancholy post-party emotional register. Replace the central figure with an NVIDIA GPU chip in extreme close-up showing green circuit board and silver heat spreader, iridescent glitter scattered across its surface, maintaining the same dramatic rim lighting and atmospheric haze. Replace title text with ‘nvidia’ in thin lowercase white Helvetica Neue Light positioned in right two-thirds misty area.
When Will Anthropic Surpass NVIDIA? | Tomasz Tunguz
https://tomtunguz.com/anthropic-most-valuable-company/
Cisco secures AI infrastructure with NVIDIA BlueField DPUs – Cisco Blogs
https://blogs.cisco.com/datacenter/cisco-secures-ai-infrastructure-with-nvidia-bluefield-dpus?dtid=pdixsp001642
Nvidia’s answer to Tesla’s data advantage in self-driving Ali Kani, who has been at NVIDIA Automotive for almost 8 years, explains ↓ Watch the full video to see a test of Nvidia’s driving system on real streets and explore how they plan to bring self-driving to every car:
https://x.com/TheTuringPost/status/2041089313388343530
GEN-1 is like an internet scale world model. Cosmos trained on a few hundred K hrs GEN-1 trained on ½ Million GEN-1 appears to understand physics, has spatial and temporal intelligence, knows cause & effect And it transfers perfectly to real hardware
https://x.com/E0M/status/2041538897608659248
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