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Nvidia expands Israel R&D operations

Nvidia Israel, which already has 2,800 employees in seven centers, is establishing a new design and engineering group for CPUs. ....

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Chinese Automaker BYD Forms Joint Venture with Momenta to Develop Autonomous Driving Technology for its Models in China

Chinese automaker BYD and self-driving technology startup Momenta have established a new joint venture to deploy autonomous driving technology across BYD car model lines. The new company, named DiPi Intelligent Mobility Co., combines BYD s capabilities and the ability to manufacture vehicles at scale with Momenta s experience in autonomous driving. ....

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Run:AI Raises $30M To Split Up GPUs Into AI, HPC Containers


Run:AI Raises $30M To Split Up GPUs Into AI, HPC Containers
The Tel Aviv-based startup offers a virtualization platform that allows organizations to split up Nvidia GPUs into smaller, virtual GPU instances so that multiple workloads can run on the same GPU, speeding up the pace of GPU-based projects while also increasing the utilization of existing infrastructure.
By
Dylan Martin January 26, 2021, 09:00 AM EST
A virtualization software startup that helps organizations split up GPUs into smaller instances to save money and maximize utilization on AI infrastructure has raised a new round of funding.
Run:AI, a startup based in Tel Aviv, Israel, with offices in New York and Boston, announced on Tuesday that it has raised a $30 million Series B funding round led by private equity firm Insight Partners, two years after the company started. Other investors included TLV Partners and S-Capital. ....

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CES 2021 Avalanche Computing Develops Hyper-scale Computing Technique for Speed and High-Scalability AI Projects


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TAIPEI, Taiwan, Jan. 17, 2021 /PRNewswire/ Avalanche Computing, a hyper-scale computing technique provider based in Taipei and the Bay Area, has developed a one-click-through AI framework that allows for production speed and is highly scalable.
Avalanche Computing s AI framework effectively trains your AI model in parallel or distributed mode on multiple GPUs without changing the algorithm for reducing AI project costs, and then does AI model deployment from one to many edge devices in one command.
Avalanche Computing focuses on optimizing the deep learning environment and training in parallel, lightening the trained model, and then deploying the AI model at a hyper-scale. ....

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