Frontier teams are not just using AI to code faster. They’re redesigning how software gets built. The result is 4.5x productivity gains, in some cases more than 10x. Six engineers. Seventy-six days. A project scoped for 30 developers over 12 to 18 months, delivered within a quarter. That is not hypothetical. It’s what happened when …
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Physical AI is moving from research into production. Robots are increasingly trained in high-fidelity simulation before being deployed to factories, warehouses, and logistics centers, because training in the real world is slow, expensive, and often unsafe, while GPU-accelerated simulation can compress months of learning into hours. This shifts the challenge to compute. Reinforcement learning (RL) …
Read more “Scale Robot Reinforcement Learning with NVIDIA Isaac Lab on Amazon SageMaker AI”
Claude Fable 5, Anthropic’s latest frontier model, is now generally available on Google Cloud. This launch is the latest proof point of our ongoing commitment to bring the industry’s latest models straight to our Agent Platform. Claude Fable 5 brings the best of Anthropic model capabilities to all customers, with strong safeguards designed to make …
Editor’s Note: This is the fourth post in a series exploring how Palantir customizes infrastructure software for reliable operation at scale. The following is a guest contribution to the Foundations series from the Gotham Core Platform organization, which builds and maintains the bedrock for mission-critical applications within the Gotham ecosystem. This blog post by Kevin Liang, …
Read more “Managing Elasticsearch Reindex at Scale: Performance, Reliability, and Observability”
With access to the latest generative AI models and high-performance accelerated compute in high global demand, AWS customers need tools to take advantage of model availability and capacity across multiple AWS Regions, while still meeting their security and privacy requirements. cross-Region Inference (CRIS) on Amazon Bedrock meets these needs by automatically routing requests across multiple …
In clinical informatics, every second counts. For Alcidion, a global leader in smart health solutions, the mission is simple but critical: use technology to reduce cognitive load for clinicians and present the right information at the right time to save lives. Whether it’s managing patient flow in an emergency department or ensuring a patient is …
Today, we are excited to announce the day-zero availability of NVIDIA Nemotron 3 Ultra on Amazon SageMaker JumpStart. With this launch, you can now deploy the Nemotron 3 Ultra model using a one-click deployment experience. Nemotron 3 Ultra is an open model built for frontier reasoning and orchestration in long-running autonomous agents, delivering 5x faster …
Read more “NVIDIA Nemotron 3 Ultra now available on Amazon SageMaker JumpStart”
At Google Cloud, our goal is to let you run large-scale analytical and data science workloads with maximum efficiency so you can process big data pipelines, machine learning, and ETL tasks. We recently announced that the Dataproc service is now Managed Service for Apache Spark, reflecting our deep integration with the Agentic Data Cloud. To …
Read more “What’s new for Managed Service for Apache Spark clusters”
Amazon Bedrock powers generative AI for more than 100,000 organizations worldwide—from startups to global enterprises across every industry. It provides the proven infrastructure and comprehensive capabilities to confidently build applications and agents that work in production with the flexibility, enterprise security, and proven scalability you need to innovate boldly and deliver AI that drives real …
Read more “How to build self-driving AI operations on Amazon Bedrock at scale”
By Rajiv Shringi, Kaidan Fullerton, Oleksii Tkachuk and Kartik Sathyanarayanan Introduction Netflix’s TimeSeries Abstraction is a scalable system for ingesting and querying petabytes of temporal event data with millisecond latency. We use Apache Cassandra 4.x as the underlying storage for these main reasons: Throughput, latency, and cost: Cassandra can handle millions of low‑latency reads and writes …
Read more “Dynamically Splitting Wide Partitions in Cassandra for Time Series Workloads”