NVIDIA AI Developer (@NVIDIAAIDev) header
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Santa Clara, CA
Joined June 2017
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NVIDIA AI Developer retweeted
Meet Nemotron 3 Nano Omni 👋 Our latest addition to the Nemotron family is the highest efficiency, open multimodal model with leading accuracy. 30B parameters. 256K context length. 🧵👇
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NVIDIA AI Developer retweeted
📊 Day 0 performance is here: DeepSeek-V4-Pro running on NVIDIA Blackwell Ultra. Using @vllm_project's Day 0 recipe, we’ve captured the initial performance Pareto for DeepSeek’s flagship 1M long-context model. This curve highlights the baseline for balancing AI factory throughput with real-time user interactivity. This is just the starting line. Expect these numbers to climb as we optimize the full co-design stack, including: • NVFP4 & Dynamo • Optimized CUDA kernels • Advanced parallelization techniques and beyond Read the full technical deep dive: nvda.ws/4u0gCcc
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NVIDIA AI Developer retweeted
Happy Friday! We just put DeepSeek-V4-Pro up on build.nvidia.com. It’s the world’s largest open source model at 1.6T parameters, and you can run it for free running on NVIDIA Blackwell GPUs. Try the NVIDIA NIM API → build.nvidia.com/deepseek-ai…
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NVIDIA AI Developer retweeted
✨ DeepSeek-V4 is here — a million-token context, 1.6T parameter powerhouse optimized for agentic workflows. Out of the box, on DeepSeek-V4-Pro, NVIDIA Blackwell Ultra delivers over 150 TPS/user interactivity for agentic workflows. And we’re just getting started. Expect these performance figures to climb higher as we implement Dynamo, NVFP4, and advanced parallelization techniques. Start building today with @lmsysorg and @vllm_project
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NVIDIA AI Developer retweeted
I have had early access to GPT 5.5 for over a week now. And have been cooking with @NaderLikeLadder and the Codex team at NVIDIA HQ on how to roll it out to all of our employees. As a developer, our lives change every couple months. Now, the same is happening for all knowledge workers. I use Codex + 5.5 to complete features end to end, including updating linear tickets, reviewing PRs, and even tagging people in slack ;) But I also use it to summarize meetings from transcripts, read my email and give me action items, and create visualizations of data to help the company make informed decisions. OpenAI continues to uplevel everyone professionally with their tools, powered by NVIDIA hardware to accelerate them.
Introducing GPT-5.5 A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done. Now available in ChatGPT and Codex.
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NVIDIA AI Developer retweeted
I’ve had access to Codex2 and GPT 5.5 for about 2 weeks now OpenAI just collison-installed all of NVIDIA lol They set up a lab like a Genius Bar so everyone could get set up w Codex 2 With the CLIs we’ve been building, non-technical coworkers seemed to have the biggest unlock Our stack: • We rolled out cloud VMs for every employee. Simple rule, agents get their own computers just like employees. If something goes wrong we can freeze it and get a stack trace. • Codex team has been super responsive. Codex 2 now supports any cloud vm, quickly picks up ssh config. Non-technical users just paste a prompt we gave them to edit ssh config • Internally built CLIs + those vetted by security get automatically loaded in cloud VMs. Teams wake up to new capabilities daily now. NVIDIA already moved fast now we’re rippin 🤙
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NVIDIA AI Developer retweeted
Massive congrats to the team at @OpenAI 💚 Moving the frontier forward isn’t easy, and GPT-5.5 does exactly that, with impressive performance across agentic coding, research tasks, and beyond.
Introducing GPT-5.5 A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done. Now available in ChatGPT and Codex.
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NVIDIA AI Developer retweeted
🌍💚 Happy Earth Day. We are spotlighting five projects where AI is helping solve some of the Earth’s greatest challenges. Check them out below . . . 🧵👇 ⛈️ Earth-2 climate simulation 🦧 Endangered species conservation ♻️ Robots sorting recyclables 🌊 Tsunami warnings 🌌 Earth observation insights
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NVIDIA AI Developer retweeted
we needed those gpus
Here is a manga made by ChatGPT Images 2.0 of @gabeeegoooh and me looking for more GPUs:
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NVIDIA AI Developer retweeted
[현장 생중계: Nemotron Developer Day, 해커톤 현장에 오신 것을 환영합니다! 👋] 오늘 오전, 열띤 해커톤의 시작과 함께 Nemotron Developer Days의 막이 올랐습니다. 🚀 이른 아침부터 시작된 해커톤 현장은 벌써부터 긴장감이 가득한데요. 등록 데스크를 가득 메운 참석자들의 모습에서, Nemotron 모델을 통해 연구와 개발의 새로운 가능성을 확인하려는 진지한 기대감을 엿볼 수 있습니다. 단순한 기술 공유를 넘어 실질적인 툴킷을 통해 AI 생태계를 확장해 나갈 오늘 현장, 그 생생한 순간들을 사진으로 만나보세요! 📷💚 #NemotronDeveloperDay
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NVIDIA AI Developer retweeted
NEMOTRON DEVELOPER DAY IN SEOUUUL
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NVIDIA AI Developer retweeted
I’ve wanted to do this for a decade. But I never did - I refuse to give any company my DNA. It is me. So this week I sequenced my genome entirely at home. Literally on my kitchen table. I never exposed my DNA sequence to the internet. Not at any point. I used a MinION to do the sequencing (it’s smaller + weighs less than an iPhone). I used open-source DNA models for the analysis (Evo2 and AlphaGenome) running locally on a DGX Spark and Mac Studio. I traced mechanisms behind my family’s multigenerational autoimmune conditions that no clinician has been able to understand. When I set out to do this I didn’t know if it would actually work. It does. Your genome is the most private data you will ever have. You probably shouldn’t let it leave your house.
I'm lucky enough to have a great doctor and access to excellent Bay Area medical care. I've taken lots of standard screening tests over the years and have tried lots of "health tech" devices and tools. With all this said, by far the most useful preventative medical advice that I've ever received has come from unleashing coding agents on my genome, having them investigate my specific mutations, and having them recommend specific follow-on tests and treatments. Population averages are population averages, but we ourselves are not averages. For example, it turns out that I probably have a 30x(!) higher-than-average predisposition to melanoma. Fortunately, there are both specific supplements that help counteract the particular mutations I have, and of course I can significantly dial up my screening frequency. So, this is very useful to know. I don't know exactly how much the analysis cost, but probably less than $100. Sequencing my genome cost a few hundred dollars. (One often sees papers and articles claiming that models aren't very good at medical reasoning. These analyses are usually based on employing several-year-old models, which is a kind of ludicrous malpractice. It is true that you still have to carefully monitor the agents' reasoning, and they do on occasion jump to conclusions or skip steps, requiring some nudging and re-steering. But, overall, they are almost literally infinitely better for this kind of work than what one can otherwise obtain today.) There are still lots of questions about how this will diffuse and get adopted, but it seems very clear that medical practice is about to improve enormously. Exciting times!
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NVIDIA AI Developer retweeted
DGX Spark is here!! My so not unboxing video because I am not a fancy youtuber lol. Just organic me loving tech. @NVIDIAAIDev @microcenter
I did a thing. Thanks @microcenter @NVIDIAAIDev Going to be busy for a while.
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NVIDIA AI Developer retweeted
We've been developing a multi-agent system that builds and maintains complex software autonomously. Recently, we partnered with NVIDIA to apply it to optimizing CUDA kernels. In 3 weeks, it delivered a 38% geomean speedup across 235 problems.
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NVIDIA AI Developer retweeted
✨ Just published: technical guide for NVIDIA Ising 🥇 World’s first family of open AI models for building quantum processors AI-powered calibration + error correction workflows Delivers up to 2.5x faster decoding and 3x higher accuracy⚡ Built for fault-tolerant, hybrid quantum-classical systems Includes open models, weights, datasets, and workflow “recipes” for customization 📚 developer.nvidia.com/blog/nv…
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NVIDIA AI Developer retweeted
MiniMax M2.7 Benchmarks on 4x DGX Spark + vLLM - 45k / 110k / 178k requests, 1.63k prefill + 14.30 decode token/sec - 25k / 49k / 74k requests, 2.52k prefill + 23.38 decode token/sec - 4k / 8k / 16k requests, 3.45k prefill + 33.44 decode token/sec What else do you wanna see?
MiniMax M2.7 at home running on 4x DGX Sparks vLLM serving full BF16 weights, 200k context OpenCode having the model monitor its own hardware and report thermals, tokens/sec, TTFT, and other runtime stats in real time What benchmarks / workflows / things do you wanna see next?
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NVIDIA AI Developer retweeted
Figure and Hark just took an entire data center of NVIDIA B200s - every rack in the building Figure will be using these to predict physics and Hark will train next generation multi-modal models
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NVIDIA AI Developer retweeted
🌐 I've just released Sentence Transformers v5.4: we're going fully multimodal for embeddings & reranking! Also featuring a modular CrossEncoder, and automatic Flash Attention 2 input flattening. Highlights in 🧵
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NVIDIA AI Developer retweeted
running Qwen3.5 397B MoE (17B active/token) on 4x DGX Sparks in FP8 (~400GB) > OpenCode driving > agent exploring its own config > probing all 4 Sparks (via ssh) + reporting thermals > inspecting how vLLM is serving it > collecting + analyzing its own stats local AI is awesome
What do you want to see me running on these 4x DGX Sparks today?
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NVIDIA just killed the awkward pause in voice AI 😱 PersonaPlex 7B is a real-time conversational model that listens AND speaks simultaneously. Like actually interrupts you mid-sentence like a human. Beat Gemini Live on dialog naturalness. 18x faster interruptions. 100% open source. Run it locally. No API bill. No latency.
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