New customers can spin up VMs, build with AI, and query data at no cost.
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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Host LLMs in Production With On-Demand GPUs
NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.
Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
Machinelearning server for developers and ML engineers
Apache PredictionIO® is an open source MachineLearning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machinelearning task. Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics; speed up machinelearning modeling with systematic processes and pre-built evaluation measures; support machinelearning and data processing libraries such as Spark MLLib and OpenNLP; implement your own machinelearning models and seamlessly incorporate them into your engine; simplify data infrastructure management.
Intelligent e-knowledge base engine for any kind of knowledge-based applications, supporting effective knowledge presentation, precise knowledge search, adaptive learning and immediate consulting.
Cigol (logic, spelled backwards) is a deductive logic solver. It can be embedded inside a parent program or used from the command line. It has absolutely no relationship to Tom Mitchell's book on MachineLearning.