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AI Runners connect models running on local machines or private servers directly to Clarifai’s cloud-based AI platform.
InfoWorld awards recognize the best products in software development, cloud computing, data analytics, and AI/ML. Final submission deadline has been extended to Friday August 22.
New API and SDK will enable enterprises to embed research automation into business workflows, enhancing decision-making with source-traceable, AI-generated insights.
Enterprises will want to evaluate how this game-changing move by the AI juggernaut can effectively enhance their AI and machine learning capabilities.
The adoption of multiple clouds requires companies to seek an underlying platform to connect development environments.
Don’t wait until an incident costs you billions of dollars to create backup and recovery plans.
The new memory management system improves efficiency by 36% and eliminates service-disrupting OOM errors.
Don't let your observability bill break the bank; slash costs by mastering data ingestion and retention without flying blind.
In this issue: There are lots of great reasons for running AI applications in your own data centers – provided they’re up to the task. AI puts new demands on virtually every aspect of data centers from servers and networks to power grids
Recent advancements are paving the way for private cloud platforms to deploy AI and other essential workloads, causing enterprises to rethink a public cloud–only strategy.