SaravanaKumar
@sara4dev
SRE | Multi/Hybrid Cloud | K8s | CNCF | Books | All-Remote | He/Him
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We're rolling out new features and improvements that developers have been asking for: 1. Our new model GPT-4 Turbo supports 128K context and has fresher knowledge than GPT-4. Its input and output tokens are respectively 3× and 2× less expensive than GPT-4. It’s available now to…
#LLM models are growing 10X compared to the Hardware improvements of only 2x in the last decade. This begs for more innovation in AI accelerators specific to AI workloads like #DGXGH200, and also distributing the AI workloads.
Good chat with Greg Brockman (openai) & Robert Nishihara (anyscale) discussing on how openai infra evolved overtime and how #ray helps them. buff.ly/46aEVs6
The way that Jensen Huang runs Nvidia is wild: 40 direct reports, no 1:1s - Believes that the flattest org is the most empowering one, and that starts with the top layer - Does not conduct 1:1s - everything happens in a group setting - Does not give career advice - "None of my…
Narrowly missed to fly from Terminal-2 due to technical difficulties. Nevertheless interesting to see #nvidia chips & toolsets are helping this new terminal. buff.ly/45S3BFB
Google Cloud and NVIDIA Take Collaboration to the Next Level | NVIDIA Blog buff.ly/3L2Trdu
Nvidia announced that it’ll support a new Hugging Face service, called Training Cluster as a Service, to simplify the creation of new and custom generative AI models for the enterprise. buff.ly/45lxduY #aiinfra #nvidia
The GH200 will have the same GPU as the H100, currently Nvidia’s most powerful and popular AI offering, but triple the memory capacity. The company said systems running on GH200 will start in the second quarter of 2024. buff.ly/3OMX5Kx #ai #nvidia
We do not know in what direction the models will grow. All we know is that the process of growth and exploration will be nourished by ever more data and more compute. And that will require a new wave of data centers, ready to meet the challenge. buff.ly/3qcvklu #aiinfra
The unusual use of Nvidia H100, the sought-after chip that powers AI computing as collateral, highlights the value of such hardware in the capital-intensive AI arms race. buff.ly/3DKkjei #nvidia
As these models get larger, it could even mean multiple data centers working in tandem. “The latency requirements are more smaller than we might think,” he said. “So I don't think that it's out of the question to be able to couple multiple data centers.” buff.ly/44G2Pvj
“It seems that in 10 years, if this current trend continues - which is a big if - it will cost somewhere between $3 billion or $3 trillion for all the training runs to develop a model,” Sevilla explained. buff.ly/3qkjANz #generativeai
“We should worry less about creating the Terminator and, as computer scientist Stuart Russell put it, more about becoming King Midas, who wished for everything he touched to turn to gold and thereby accidentally killed his daughter with a hug”. #ai technologyreview.com/2023/07/05/107…
CUDA: New Features and Beyond by Stephen Jones (SW), CUDA Architect is an absolute watch! The first 15 minutes explains why Moore’s law is dead by law of physics and how heterogenous hardware & software are here for rescue to scale out compute power. buff.ly/3XhUUl3
Grace & Hopper combination is very powerful! LLMs are 2X faster compared to x86 & Hopper combination. #nvidia #aiinfrastructure #LLMs buff.ly/43QCkmn
#DGXGH200 is a beast!
RIP CPU-based AI supercomputers? NVIDIA just announced DGX GH200, an AI supercomputer that combines whooping 256 Grace CPUs & Hopper GPUs in the same package with 144 Terabytes of shared memory! Here's the breakdown
An informative & inspiring clip by the talented Designer Sravanya Rao Pittie. I think we haven’t really absorbed how accomplished, powerful & technologically advanced the Chola Empire was. Nor have we adequately conveyed its historical significance to the rest of the world.
My thoughts on the Supreme Court's decision to overturn Roe v. Wade.
Why does @FoxNews @TuckerCarlson @seanhannity keeps lying to its followers. Such a dishonest media and disservice to its followers.
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