Image created with Gemini. Image prompt: A cozy hillside seaside town shop window at golden hour with a bold hand-painted NVIDIA sign above the door, a smiling porcelain mask on a velvet display stand tilted to reveal a glowing green GPU circuit board and parallel cores beneath its cheek, shelves of identical grinning masks behind it, hand-painted Studio Ghibli gouache and watercolor style with soft cel-shaded characters, terracotta rooftops and teal harbor visible in the background, warm and inviting yet quietly uncanny.
Today, we’re introducing SimFoundry, our real2sim2real framework at NVIDIA GEAR that automatically turns real-world scenes into simulation-ready worlds from a single image or video. Website:
https://t.co/Iw38VtarSA Paper:
https://t.co/GcDYAUfVwP This work marks a major step for”
https://x.com/yukez/status/2072697990402170906
Nvidia competitor Etched hits $5B valuation, $1B in sales for AI chip | TechCrunch
https://techcrunch.com/2026/06/30/nvidia-competitor-etched-hits-5b-valuation-1b-in-sales-for-ai-chip/
Today, we give robots a /skills library that self-evolves and compounds indefinitely! Introducing ASPIRE: a robot solving its 100th task is no longer as clueless as solving its first. Coding agents observe multimodal sensory traces from simulation and real robots, launch an”
https://x.com/DrJimFan/status/2072004190856212902
Watch CNBC’s full interview with Palantir CEO Alex Karp
https://www.cnbc.com/video/2026/07/01/watch-palantir-ceo-alex-karp-on-new-nvidia-deal.html
AR pretraining won. Generation doesn’t have to stay AR. We’re releasing Nemotron-TwoTower: clone a pretrained AR LLM, freeze one copy as context, and train the other as a diffusion denoiser for parallel token generation. 30B model 98.7% AR quality 2.42× throughput 📄 🤗 💻”
https://x.com/fitsumreda/status/2071616094260142431
We took a 30B model and split it in two to write tokens in parallel instead of one at a time. Introducing Nemotron-Labs-TwoTower: a diffusion language model from NVIDIA Research adapted from Nemotron-3-Nano-30B-A3B. Here’s how it works: one half holds the context, the other”
https://x.com/NVIDIAAI/status/2072394812301480067
Huawei Pangu’s 92B 6B active MoE open sourced Big one coming in July They’re basically trying to do Nvidia’s thing with Nemotron”
https://x.com/teortaxesTex/status/2071890951816003663
Great to see the @NVIDIAAI Nemotron team put out a step-by-step guide for self-hosting Nemotron-3-Ultra 550B without a datacenter. Four compact DGX Spark boxes pool into a single OpenAI-compatible endpoint, served from vLLM’s official out-of-the-box container. If you’re building”
https://x.com/vllm_project/status/2071483552106233993
The official GLM-5.2 NVFP4 from NVIDIA is now available. Curious how it compares to other quantizations.”
https://x.com/ZixuanLi_/status/2070391097612783775
GLM-5.2 in NVFP4 is ready to serve in vLLM 🚀 @NVIDIAAI’s official NVFP4 checkpoint of GLM-5.2 on Blackwell cuts the memory footprint vs FP8 while matching its accuracy across reasoning, coding, and long-context benchmarks. Serve it today with: vllm serve nvidia/GLM-5.2-NVFP4″
https://x.com/vllm_project/status/2070569806940848328
What happens when you run a CUDA kernel
https://fergusfinn.com/blog/what-happens-when-you-run-a-gpu-kernel/
ENPIRE -> ASPIRE, our 2nd work in the series for Physical AutoResearch. We are building the components for robot self-improvement, one /skill at a time.”
https://x.com/DrJimFan/status/2072337488782475390
SimFoundry — Real2Sim2Real
https://research.nvidia.com/labs/gear/simfoundry/
⚡ GPU programming changed because Tensor Cores became too fast to feed Zhihu contributor THU-PACMAN实验室 shared a sharp breakdown of how NVIDIA GPU programming moved from Volta to Blackwell. The headline is not “FP16 became FP4” or “TFLOPS went up.” The real shift is deeper: a”
https://x.com/ZhihuFrontier/status/2071871535430926400
You now convert any LLM into a faster one without retraining from scratch. NVIDIA just did this to their 30B model. Here’s the trick: 1. Duplicate the model into two copies 2. Freeze one copy, it just reads the prompt and remembers context 3. Train the other copy to write”
https://x.com/LiorOnAI/status/2072402904867365167
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