Cam Moore

[Eric Schmidt @ericschmidt]

This is pretty extraordinary, and on an open model to boot.

[Everything Formula @evrythngformu1a]

🚨 BREAKING: V8 ENGINES ARE RETURNING TO F1 IN 2030!

FIA President Mohammed Ben Sulayem has confirmed the return of V8 engines, with plans for:

• Cars approximately 80 kg lighter
• At least 50% lower engine and R&D costs
• A return to the iconic V8 sound

The countdown to 2030 begins. 👀🔥

(via. @Racingnews365c) #F1

[Ben Pouladian @benitoz]

Holy crap POTUS just phoned in @JensenHuang live on stage at All In Summit

We will not lose the ai race! And whatever Dario said this weekend won’t stop our progress

This made my morning!

$NVDA

[Jensen Huang @JensenHuang]

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.

AI will transform every industry, power every company, and be built by every country.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.

The world needs both frontier closed models and frontier open models.

https://t.co/AUKzoQ5Ikb

[Cam Moore @camify]

30M downloads and counting for the NVIDIA Nemotron family on Hugging Face 🤗 https://t.co/f0Hy5XY2sN

[Satya Nadella @satyanadella]

1.1M tokens/sec on just one rack of GB300 GPUs in our Azure fleet.

An industry record made possible by our longstanding co-innovation with NVIDIA and expertise of running AI at production scale!

https://t.co/1qLvoS2z70

[Elon Musk @elonmusk]

That’s for the DGX Spark 😀

This is ~100X more compute per watt than the DGX-1, the first ever dedicated AI computer, that Jensen gave me at OpenAI in 2016!

[The AI Investor @The_AI_Investor]

AMD Instinct MI355X was supposed to compete with NVIDIA Blackwell right?

So much for AMD having an advantage in inference.

[Artificial Analysis @ArtificialAnlys]

NVIDIA Blackwell can achieve 303 output tokens/s for DeepSeek R1 in FP4 precision, per our benchmarking of an Avian API endpoint

Artificial Analysis benchmarked DeepSeek R1 on an @avian_io private API endpoint. Running DeepSeek R1 in FP4 precision on NVIDIA Blackwell, their endpoint achieved 303 output tokens/s - the fastest speed we have measured yet for DeepSeek R1.

The FP4 version of DeepSeek R1 maintained accuracy across our evaluation suite as compared to the native FP8 version.

Inference speed is especially critical for reasoning models that ‘think’ before they answer - we look forward to wider availability of NVIDIA Blackwell hardware in the coming months!

[NVIDIA AI Developer @NVIDIAAIDev]

Introducing DeepSeek-R1 optimizations for Blackwell, delivering 25x more revenue at 20x lower cost per token, compared with NVIDIA H100 just four weeks ago.

Fueled by TensorRT DeepSeek optimizations for our Blackwell architecture, including FP4 performance with state-of-the-art production accuracy, it scored 99.8% of FP8 on MMLU general intelligence benchmark.

FP4-optimized DeepSeek checkpoint now available on @huggingface: https://t.co/NxLukbCESw

[Barstool Sports @barstoolsports]

HOCKEY COUNTRY 🇺🇸

[NVIDIA AI Developer @NVIDIAAIDev]

Exclusive developer livestream on 📆 December 18th at 9 a.m. PST

Unlock high performance #generativeAI with NVIDIA NIM inference microservices - learn how to get started with this powerful tool.

Perfect for developers of all skill levels.

Register ➡️ https://t.co/gCEcRmNn2g

[Cam Moore @camify]

@zacbowden Loved this phone.

[NHL Alumni @NHLAlumni]

If you do ONE thing today, it should be watching this masterpiece. 🎨🏒
#NHLAlumni

[Sharks on NBCS @NBCSSharks]

First time in NHL history that two Bay Area goalies face each other 👀

[Science girl @sciencegirl]

Giving a cat facial expressions

[Jim Fan @DrJimFan]

Jensen Huang is the new Taylor Swift

[NVIDIA AI @NVIDIAAI]

Join us at #GTC24 to explore the transformative journey of #cuOpt. Learn how this GPU-accelerated library has evolved into an AI cloud API, enabling recent advances in route optimization. Register today: https://t.co/vqeGte6kBy

[USA Hockey @usahockey]

GOLDEN! 🇺🇸🥇 #WorldJuniors

[Cam Moore @camify]

@t3dotgg Java = JavaScript