Efficiency is great. Yet AI, is not doing anything yet.

That’s not a benchmark, that’s a rocket booster for AI. A million tokens per second means the machines are basically speed-reading entire libraries while humans still look for their coffee. At this pace, your next chatbot might finish your thought before you even type it.

Until you learn it’s when running llama2 70B….

For most everyday use cases, this is more than enough, but I do see a huge opportunity for building entire functional codebases with that throughput

🍀

NVIDIA just turned sci-fi into hardware. 1M tokens/sec isn’t progress, it’s dominance. The AI race isn’t starting, it’s already being won

A million tokens a second. It sounds like science fiction, but it’s the new reality. Azure racks powered by NVIDIA are now breaking barriers that used to define limits. Every number here hides years of sweat, silence, and sleepless invention. This isn’t just a benchmark, it’s a signal the AI era is no longer building, it’s running. Faster, cooler, sharper. The next frontier isn’t imagination, it’s speed, and we’ve just crossed it.

4.6 million tokens per second, on the exact same hardware CapEx and energy (OpEx) at 6x lower latency, is now available with @WekaIO google.com/search?q=weka+amg…

Incredible milestone! AI infrastructure like this will redefine what’s possible in data-driven science, from drug discovery to patient care. Speed and efficiency at this scale mean faster insights, smarter innovation and ultimately, better outcomes.

⚙️ Hitting 1M tokens/sec isn’t just throughput — it’s latency evolution. At this scale, real-time emotional-AI synchronization becomes viable: models can process human sentiment, generate narrative branches, and render immersive feedback without perceptible delay. That’s the foundation of ETERNITY: AI Cinematic Immersion — where computation meets consciousness. ♾️🚀 #NVIDIA #AI #AICinematicImmersion #LatencyMatters #RealTimeAI #FutureOfCinema #ImmersiveTech

That is 2000 emails and 7-10 sec filings per second. Awesome.

Amazing 1.1 Million tokens in one Second If 1.1 million tokens moved like pennies, that’s 1,100,000 × $0.01 = $11,000 in a single second. Now imagine that sustained for a minute — $11,000 × 60 = $660,000 per minute. That’s $39.6 million per hour.

The faster tokens move, the faster belief systems update. Infrastructure is no longer a backend. Now, it is the nervous system of humanity's next cognition phase.

great, now inference is instant and my meetings are still 30 mins.

Ook

It’s wild how far we’ve come. A few years ago, generating a million tokens in seconds sounded impossible. Now it’s happening in real-time, quietly setting the tone for the next industrial revolution. What used to be a dream in research labs is now a production standard. The story of AI has always been about scaling thought, and today, it feels like we’re finally beginning to understand what that really means.

How negative was the return on investment? 10,000:1?

Wow, NVIDIA, that's some serious speed! I'm thinking, this is a game changer for AI, right?

Full send. Semper Fidelis

amazing work

What about achievement. 👏🏻 Anything is possible with Nvidia.

Wow 🤯

@nvidia, impressive numbers. this showcases the tremendous potential of enterprise ai technology.

it has blown away my mind. @grok tell me what those amount of tokens/sec can do?

crazy to think this speed is achieved... It's damn cool!!! (I bet you guys have more powerful stuff in your arsenal...👀)

What's a token and how many big macs does it feed me?

The future depends on what you do today.

@grok break this down IAM a sponge 🧽

That is something unbelievable 👏

Great job guys

that’s not just speed — that’s warp drive for AI 🚀 props to the Azure + NVIDIA dream team for turning tokens into light speed.

lol

Thank you for the technology that keeps all these Twitter bots in business! 🙏

Google TPU's beating your azz right now, you better stop playing around.

AI compute is officially entering hyperscale territory — efficiency, scalability, and governance finally aligning. The next wave of decentralized compute will need to match this level of performance, but without the walls.