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Balancing performance, energy efficiency, and cost-effectiveness, CPUs adeptly handle the less-intensive inference tasks that make up the lion’s share of AI workloads.
SaaS organizations lead the pack when it comes to application reliability, scalability, security, and customer satisfaction. Here are 12 principles devsecops leaders can adopt from SaaS.
Five key innovations that increased the performance, availability, and cost-efficiency of the engine at the heart of Confluent’s managed Apache Kafka service.
Grafana creator Torkel Ödegaard traces the open-source project’s journey to help developers visualize what’s going on inside distributed cloud-native infrastructure.
New tools for filtering malicious prompts, detecting ungrounded outputs, and evaluating the safety of models will make generative AI safer to use.
Repatriation is one route to cost savings. Switching development patterns from long-running services to WebAssembly-powered serverless functions is another.
Enterprise workflows desperately need what iPhone and Android users have enjoyed for years—ready access to files wherever and whenever they’re needed, regardless of where the files are physically located.
Low-code platforms aren't just for web forms and simple integrations anymore. Here are seven innovative ways small and large enterprises are stretching the limits of what low-code can do.
Hardware requirements vary for machine learning and other compute-intensive workloads. Get to know these GPU specs and Nvidia GPU models.
How WSO2’s Ballerina language and Choreo platform can be used to quickly develop, test, and deploy partner-specific EDI processing modules.
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