Peter Nabicht, President of STAC – Securities Technology Analysis Center, announced that @GroqInc is the first vendor to provide the financial services industry with published audited benchmarking results, making real-time #AI more accessible. Read more at http://
groq.link/stacpr
AI HARDWARE
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Groq First Vendor with Published Audited AI Benchmarking Results
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Quantum advantage breakthrough achievement announced
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Sounds like a super cool quantum advantage result!
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Needham recommends buying Nvidia stock at market bottom
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Nvidia: buy it, it’s troughed, says Needham https://
thetechnologyletter.com/the-posts/nvid
ia-buy-it-its-troughed-says-needham
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Cerebras CS-2 Python API Achieves 470x Faster Performance
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At #SC22, Dr. Dirk Van Essendelft from the National Energy Technology Laboratory presented a Python API to build applications that run on Cerebras CS-2 systems with impressive results – 470x faster than the Joule supercomputer! Watch his lecture:
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Groq Delivers Record-Breaking Inference Speeds for Faster Development
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Why do customers work with @GroqInc
? Faster time-to-production for developers with record-breaking inference speeds. Watch the #AISummit interview with @lifebypixels
, Head of Brand & Creative, to hear our story, solutions, and where Groq is going next. https://
aibusiness.com/companies/ai-s
ummit-new-york-2022-groq-at-the-ai-business-tv-newsdesk
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Robot in Fridge Shows Temperature-Related Malfunction
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Then someone had the brilliant idea to put a robot in the fridge. We pulled it out the next morning, and … it exhibited the problem. For ten minutes. Then it stopped. Could it have something to do with temperature?
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Groq AI Platform Accelerates Deep Learning for Fusion Energy Research
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Researchers are leveraging the @GroqInc #AI platform at the @argonne_lcf
’s AI Testbed to accelerate deep learning-guided investigations aimed at informing the operation of future #fusionenergy devices. Read more here: https://
groq.link/anltok -
GPU Implementation Using NumPy Instead of Custom CUDA Compiler
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Well OK we didn't write a CUDA compiler for the GPU version, but used numpy's…
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Researchers Win OGB-LSC Competition with Accelerated GNN Training
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Super proud of our researchers for winning the MAG240M Track of the OGB-LSC competition at #NeurIPS2022! They used PGL and PaddlePaddle to accelerate GNN training on GPUs, reaching SOTA in only 1 hr (40 hrs before). Check out their code: https://
github.com/PaddlePaddle/P
GL/tree/main/examples/NeurIPS2022-OGB-Challenge/MAG240M
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Hugging Face Spaces GPU Sleep Mode Reduces Billing Costs
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"If a tree falls in a forest and no one is around to hear it, does it make a sound?" I don't know. But if there's no one around to use your hardware-upgraded Space, you can now put it to sleep – getting billed only if someone is visiting it https://
huggingface.co/docs/hub/space
s-gpus#sleep-time
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