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Remote monitoring of raw material supply chains for sustainability with Amazon SageMaker geospatial capabilities

Deforestation is a major concern in many tropical geographies where local rainforests are at severe risk of destruction. About 17% of the Amazon rainforest has been destroyed over the past 50 years, and some tropical ecosystems are approaching a tipping point beyond which recovery is unlikely. A key driver for deforestation is raw material extraction …

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Introducing G2 VMs with NVIDIA L4 GPUs — a cloud-industry first

Organizations across industries are looking to AI to turn troves of data into intelligence, powered by the latest advances in generative AI. Yet for many organizations, there is a barrier to adopting the latest models because they can be costly to train or serve. A new class of cloud GPUs is needed to lower the …

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Fresh-Faced AI: NVIDIA Avatar Solutions Enhance Customer Service and Virtual Assistants

Companies across industries are looking to use interactive avatars to enhance digital experiences. But creating them is a complex, time-consuming process requiring state-of-the-art AI models that can see, hear, understand and communicate with end users. To ease this process, NVIDIA is providing creators and developers with real-time AI solutions through Omniverse Avatar Cloud Engine (ACE), …

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Palantir’s Response to NTIA on Privacy, Equity, and Civil Rights

Insights from building privacy-protective technology shared with the National Telecommunication and Information Administration Introduction Since Palantir’s founding, we have rejected the premise that preserving national security — or tackling any mission-critical problem — must come at the expense of privacy and other fundamental rights. In contrast with this false tradeoff, we believe that through the thoughtful development and use …

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Accelerate Amazon SageMaker inference with C6i Intel-based Amazon EC2 instances

This is a guest post co-written with Antony Vance from Intel. Customers are always looking for ways to improve the performance and response times of their machine learning (ML) inference workloads without increasing the cost per transaction and without sacrificing the accuracy of the results. Running ML workloads on Amazon SageMaker running Amazon Elastic Compute …