The power consumption of 800 NVIDIA V100 GPUs, enough to train a trillion parameter artificial neural network, is roughly 240,000 watts 🤖 The human brain consumes roughly 20 watts 🧠

GeForce RTX 3090 Ti launch analysis, based on the benchmarks of 8 launch reviews 👉 ~1940 MHz real chip clock (at reference) 👉 on average, beats the 6900XT at 1080p 👉 +8.4% performance vs 3090 at 2160p 👉 462W real power draw (+103W vs 3090) 3dcenter.org/artikel/launch…

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The new VCK5000 has 3x better performance than earlier versions and delivers 2x TCO over Nvidia T4. Read the review from HPCwire 👇

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The bigger the DUMP, the stronger the PUMP!

ASUS introduces dual-fan GeForce RTX 3050 TUF series videocardz.com/newz/asus-intr…

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Lambda raised a $44 million Series B to accelerate the growth of our GPU cloud. Funds will be used to deploy new H100 capacity with high-speed network interconnects and develop features that will make Lambda the best cloud in the world for training AI. youtube.com/watch?v=zsfd-G…

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Context-aware text-to-speech with emotion control! taskagi.net/hypervoice