NEURA Robotics Raises 55 Million Dollars for its Cognitive Cobots https://actuia.com/actualite/neura-robotics-leve-55-millions-de-dollars-pour-ses-cobots-cognitifs/
… #AI #artificialintelligence #fundinground
@NEURARobotics
HARDWARE
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NEURA Robotics Raises 55 Million Dollars for Cognitive Cobots
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Commsignia Launches Vehicle-to-Everything Technology for Bicycles
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Commsignia wheels out vehicle-to-everything for bicycles #Technology #Tech #FutureTech https://
computerweekly.com/news/366545168
/Commsignia-cycles-out-vehicle-to-everything-V2X-for-bicycles?utm_source=dlvr.it&utm_medium=twitter
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Cerebras Introduces Condor Galaxy-1 Exaflop Supercomputer
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To learn more about CG-1, read our detailed technical blog. https://
cerebras.net/blog/introduci
ng-condor-galaxy-1-a-4-exaflop-supercomputer-for-generative-ai/
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Cerebras: 20x Memory Advantage Enables 100B Models Natively
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Because our compute and memory are ~20x larger, even 100B models fit entirely in memory without tensor/pipeline parallel gymnastics. Our GPT implementation uses 1/20th the lines of code of Nvidia Megatron. Huge models work out of the box on Cerebras. This is why G42 picked us.
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Cerebras CS-2 Software Stack: Single Logical Accelerator Architecture
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But specs are just specs. The real question is: how's the software stack? What's it like to program 64 CS-2 machines? This is where Cerebras truly shines – it's the only AI supercomputer that works as *one* logical accelerator.
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Cerebras CG-1 vs Nvidia Israel-1: GPU Architecture Comparison
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Let's compare CG-1 with Nvidia's Israel-1. Israel-1 has 2048 H100 GPUs. But each GPU shows up as a unique device. It's your job to break apart your model and farm them out to each GPU. On Cerebras, 1 to 64 CS-2s show as one accelerator. Just implement mini-batches and train!
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G42 Cloud Plans Nine AI Supercomputers with 36 ExaFLOPs
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G42 Cloud is the largest public cloud provider of the UAE. To expand its AI offering, we are planning not one but *nine* AI supercomputers. When complete in 2024, the full Condor Galaxy system will have 9 instances, 576 CS-2s, for a total of 36 exaFLOPs of AI compute.
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36 ExaFLOPs AI Supercomputer Outperforms Google TPU Pod
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How does 36 exaFLOPs compare to other AI supercomputers? It's 4x the performance of Google's latest TPU Pod v4 and 9x the performance of Nvidia's yet complete Israel-1.
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Cerebras Launches Condor Galaxy-1 4 Exaflop AI Supercomputer
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Today we are announcing Condor Galaxy-1: a 4 exaflop AI supercomputer built in partnership with @G42ai
. Powered by 64 Cerebras CS-2 systems, 54M cores, and 82TB of memory – it's the largest AI supercomputer we've ever built. But that's not all: CG-1 is just the start.. -
Samsung Foundry Partners with Tenstorrent and Groq on AI Semiconductor R&D
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"Samsung Foundry has recently launched Research & Development projects with American AI semiconductor startups Tenstorrent and Groq… both companies are considered promising firms in the global AI industry."