I think the details matter a lot.
CUDA enables pretty general programming and experimentation — AI, fluid dynamics, biochem, various scientific simulations.
PyTorch itself is used in the widest variety of settings, including all of the above.
My main position around AMD working
AI HARDWARE
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CUDA PyTorch AMD hardware compatibility for AI computing
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NVIDIA Launches DGX GH200 AI SuperComputer
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NVIDIA Builds AI SuperComputer DGX GH200: NVIDIA, a leader in artificial intelligence (AI) technology, has made an exciting announcement that is set to revolutionize the field. The company has introduced the NVIDIA DGX GH200, a groundbreaking AI… https://
analyticsvidhya.com/blog/2023/05/n
vidia-builds-ai-supercomputer-dgx-gh200/?utm_source=dlvr.it&utm_medium=twitter
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Nvidia, Intel, AMD Chip Demand Surges Amid AI Boom
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Nvidia’s demand heats up, so does Intel, AMD’s, says New Street The generative AI stuff drives up chip sales for years https://
thetechnologyletter.com/the-posts/nvid
ias-demand-heats-up-so-does-intel-amds-says-new-street
… $NVDA $AMD $INTC #AI #Deeplearning #semiconductors #ChatGPT账号 -
Nvidia dominates GPU market for enterprise AI deployment
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Nvidia: No competition in sight, says Daiwa Every company’s going to need GPUs to run their own ChatGPT, says analyst Louis Miscioscia. https://
thetechnologyletter.com/the-posts/nvid
ia-no-competition-in-sight-says-daiwa
… $NVDA $INTC $AMD #AI #ChatGPT #DeepLearning #semiconductors -
Nvidia’s AI Training Dominance Faces Potential Challenge from MosaicML
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And Nvidia still obviously owns AI training with their (very substantial) lead in AI training with its A100- and H100-series GPUs. Though that *might* be due for a change, particularly with some work coming out of (shocker) MosaicML this week.
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LLM Pruning: Scaling Edge AI with Reduced Energy Footprint
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Excellent work on pruning LLMs! This is where the next generation of #AI LLM models need to go in order to scale across the edge of our networks on devices, reducing energy consumption and carbon footprint.
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AMD Single Node Training: Scaling Challenges for Large Models
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single node training. and that makes a difference. i’m not fully sold about amd and multinode large scale training, but one step at a time
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FDA Approves Neuralink Human Clinical Trials Elon Musk
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Groundbreaking News: FDA Grants Approval to Elon Musk’s Neuralink for Human Trials: In a monumental breakthrough, Elon Musk’s brain-implant startup, Neuralink, has received approval from the FDA to initiate its first-ever human clinical study.… https://
analyticsvidhya.com/blog/2023/05/f
da-approves-human-clinical-study-for-elon-musks-neuralink/?utm_source=dlvr.it&utm_medium=twitter
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State of AI Today with Cerebras CEO Discussion
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Pleasure to dive into the state of AI as we stand today with @draecomino of @CerebrasSystems!
— Nathan Benaich (@nathanbenaich) 30 juin 2023
This was recorded on Tuesday this week so I think it’s all still relevant 🙂 https://t.co/t3UTndoIZbPleasure to dive into the state of AI as we stand today with @draecomino of @cerebras
! This was recorded on Tuesday this week so I think it’s all still relevant 🙂 -
MosaicML Demonstrates LLM Training on AMD MI250 MI300X
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Here's @MosaicML showcasing their results with @PyTorch 2.0 + AMD for LLM Training.
They made "Zero Code Changes" to run on AMD.
MI250 is already trending well, and IMO MI300X will be very competitive.