Sandro Cavallari
232 posts

Sandro Cavallari
@Andompesta90
ex NTU ex PayPal ex zalando now at NVIDIA
Monaco di Baviera, Baviera Katılım Mart 2014
286 Takip Edilen65 Takipçiler

RL is hitting a ceiling with human feedback. What if the world itself becomes the signal? Introducing RLxF: RL from World Feedback 🌍 workshop at ICML 2026 in Seoul, South Korea!
Speakers: David Silver, @chelseabfinn, @jessezhang, @robertarail
Web page: sites.google.com/view/rlxf-icml…

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@svlevine @berkeley_ai Would be great if you could share a recording link
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Tomorrow in the Workshop on World Models at ICLR in Rio (10:30 am) I’ll talk about a… different take on what might make for a good world model. Come find out, 10:30 in Room 202A at ICLR sites.google.com/view/iclr-2026…
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Sandro Cavallari retweetledi

Building with FLUX.2: From Prototype to Real-World Application x.com/i/broadcasts/1…
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Introducing FLUX.2 [klein]. Blazing fast. Beautiful.
Generate stunning images in under a second while maintaining exceptional quality.
Great for fast editing, changing styles, and developing ideas from 0 → 1.
Available via API, or run it locally - Klein 4B under Apache 2.0, Klein 9B as open weights.
Try it for free in our demo app (link in the thread).
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Incredible to see 90 GB pipeline running on a 5080. Big congratulation to @bfl_ml for such an amazing model and for partnering with us and @ComfyUI to pull this off !!!
blogs.nvidia.com/blog/rtx-ai-ga…
#NVIDIA #NVIDIAstory
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Sandro Cavallari retweetledi

FLUX.2 just dropped and we've teamed up with @bfl_ml + @ComfyUI to optimize performance on RTX AI PCs. 🖼️🔥
Get started today in the #RTXAIGarage blog: nvda.ws/49AIeOk

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Sandro Cavallari retweetledi

Join in on @bfl_ml’s FLUX.1 Kontext [dev] Hackathon! 🙌
Create an incredible local use case for a chance to win a NVIDIA GeForce RTX 5090 GPU. 🎉🏆
Black Forest Labs@bfl_ml
FLUX.1 Kontext [dev] Hackathon is live! $10K+ in prizes, open worldwide. 7 days to experiment and surprise us. Create LoRAs, build workflows, or try something totally unexpected. Run it locally or through our partners @NVIDIA_AI_PC @fal @huggingface Registration link below 👇
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Great job by our engagers in speeding up comfyUI inference remaining in pytorch native
NVIDIA AI PC@NVIDIA_AI_PC
🖼️⚡From @Alibaba_Wan Wan 2.2 & @Alibaba_Qwen Qwen-Image to @bfl_ml FLUX.1 Krea [dev] and more, image/video generation models in @ComfyUI run fastest on NVIDIA GeForce RTX 50 Series AI PCs. Get started in this week's #RTXAIGarage → nvda.ws/45TGfT2
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📢 @bfl_ml's FLUX.1 Kontext image editing model just dropped as an NVIDIA NIM.
Grab it in @ComfyUI and edit any image using a few words or even another image.
📚 Get started in our #RTXAIGarage blog: nvda.ws/4luzhZg

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Sandro Cavallari retweetledi

📸 Generate. Refine. Repeat.
@bfl_ml’s FLUX.1 Kontext simplifies AI image editing with text + image prompts—now RTX-accelerated with TensorRT.
Bonus: Google’s new Gemma 3n multimodal LLM is also accelerated on RTX.
🔗 #RTXAIGarage: nvda.ws/4lCEM8M

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Sandro Cavallari retweetledi
Sandro Cavallari retweetledi

Really fun work on FP4 quantization and Blackwell ... and more is coming developer.nvidia.com/blog/nvidia-te…
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🚀Join us for NVIDIA #GTCParis at Viva Technology 2025—Europe’s biggest startup and tech event. June 10-12, immerse yourself in visionary sessions and hands-on demos showcasing the latest AI innovations.
Explore the impact of AI across Europe and beyond. bit.ly/4mlnE8t
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TensorRT-LLM delivers fast, flexible LLM inference - but the full pipeline can be complex.
This dstack example simplifies it end-to-end: build the container, convert the model, and deploy on any cloud or on-prem.
Showcases both DeepSeek R1 and its distilled Llama version.
dstack.ai/examples/deplo…
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🚀 New drop: @bfl_ml FLUX.1-dev is now available as a NVIDIA NIM microservice — turning your RTX AI PC / Workstation into an AI image-gen powerhouse.
🎬 Plus: New RTX-accelerated AI features in the DaVinci Resolve Studio 20 beta.
🔗 #RTXAIGarage blog: nvda.ws/3EgCwnu

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@y0b1byte @huggingface Is zig any good to program in cuda ?
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📣Just announced at #CES2025: #NVIDIACosmos
Build custom world models for physical #AI systems at scale. Get started today. bit.ly/3DHjru1
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