Not saying that OP isn’t farming. But Kimi K2.5 was only post-trained in NVFP4. This is the first end-to-end run in NVFP4.
TECHNOLOGY
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Full Model GPU Offload Required to Avoid Performance Bottlenecks
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Partial offloads wouldn’t work because this will create a severe bottleneck That’s why the full model has to be offloaded to the GPU to see actual performance gains
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GPU Offloading Offers 1800Gbps vs DGX Spark’s 273Gbps
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Yeah that is definitely faster because you’re fully offloading to the GPU which runs at ~1800Gbps in comparison to DGX Spark’s 273Gbps
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New Website to Benchmark Hardware Tokens per Second Performance
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Update: @AlpinDale and I agreed to collab on a website that does more accurate calculations for your hardware tokens/sec performance Expect more on this after I am done with GTC this week
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Qwen 3.5 MoE Model Recommendations for Spark and Mac Studio
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For a single Spark my first recommendation would be Qwen 3.5 122B MoE (Int4) For the Mac Studio I would recommend the 397B in 4-bit (and I think @ivanfioravanti would agree with me here)
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Qwen3 27B Performance Claims Disputed on DGX Spark Hardware
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Also, I don’t know how OP is getting Qwen3.5 27B @ 30 tps on DGX Spark That number is impossible for a Dense model on DGX Spark’s Unified Memory (273 Gbps) My personal experiments showed it’s 4 tokens/sec for that model on the Spark
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Sam Altman Predicts Breakthrough Beyond Transformers Coming Soon
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Ton grave, pose sérieuse.
— VISION IA (@vision_ia) 14 mars 2026
Sam Altman dit qu’une autre percée au-delà des transformers va bientôt arriver, et que les modèles sont désormais assez intelligents pour aider à la découvrir.
L’IA crée une énorme opportunité de reconstruire des catégories entières de produits et de… pic.twitter.com/wTEt3aWv0NGrave tone, serious pose. Sam Altman says that another breakthrough beyond transformers is coming soon, and that models are now smart enough to help discover it. AI creates a huge opportunity to rebuild entire categories of products and make new things possible. A new science,
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Stretchable Metal-Polymer Conductors: Breakthrough in Flexible Circuits
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𝗜𝗺𝗽𝗿𝗲𝘀𝘀𝗶𝘃𝗲. 𝗪𝗶𝗿𝗲𝘀 𝘁𝗵𝗮𝘁 𝗱𝗼𝗻’𝘁 𝗯𝗿𝗲𝗮𝗸. 👏
— Pascal Bornet (@pascal_bornet) 14 mars 2026
Researchers in China have developed a Metal-Polymer Conductor (MPC) by combining elastic polymers with liquid metals like gallium and indium.
The result is quite remarkable.
A circuit that can:
→ stretch
→… pic.twitter.com/vxbbwC8eDX𝗜𝗺𝗽𝗿𝗲𝘀𝘀𝗶𝘃𝗲. 𝗪𝗶𝗿𝗲𝘀 𝘁𝗵𝗮𝘁 𝗱𝗼𝗻’𝘁 𝗯𝗿𝗲𝗮𝗸. Researchers in China have developed a Metal-Polymer Conductor (MPC) by combining elastic polymers with liquid metals like gallium and indium. The result is quite remarkable. A circuit that can: → stretch
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Mac Mini with eGPU Support for NVIDIA and AMD
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Mac Mini + eGPU. Both NVIDIA and AMD supported.
→ View original post on X — @jeremyphoward, 2026-03-14 04:16 UTC
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World’s First Robot Autonomously Kicks Human
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World’s first robot autonomously kicking human 😂
— Amitav Bhattacharjee (@bamitav) 14 mars 2026
pic.twitter.com/dKpHY8zowO#humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI@AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang @NutritiousMind…World’s first robot autonomously kicking human #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI @AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang @NutritiousMind