TornadoVM: Accelerating Java with GPUs and FPGAs
The proliferation of heterogeneous hardware represents a problem for programming languages such as Java that target CPUs.
Accelerating Technical Decision-Making by Empowering ICs with Engineering StrategyInfoq
Java Feature Spotlight: Local Variable Type InferenceInfoq
Cloud Native Java with the Micronaut FrameworkInfoq
Grab Redesigns Counter Service Storage for 50% Lower P99 LatencyInfoq
The Async Multiprocessing Has Sound Foundations in Linux, But Further Testing is NeededInfoq
AI Agents with Cloud Credentials Are Outrunning Billing Guardrails Built for Human-Speed MistakesInfoq
Introducing: H100s on ModalModal
What is a Streaming Multiprocessor?Modal
Cerebras Systems Announces Filing of Registration Statement for Proposed Initial Public OfferingCerebras
Simulating Human Behavior with Cerebras - CerebrasCerebras
100x Defect Tolerance: How Cerebras Solved the Yield Problem - CerebrasCerebras
Cerebras Announces Six New AI Datacenters Across North America and Europe to Deliver Industry’sCerebras
Cerebras Systems Enables GPU-Impossible™ Long Sequence Lengths Improving Accuracy in NaturalCerebras
Cerebras Systems, Ranovus win $45 million US military deal to speed up chip connectionsCerebras
Accelerating GPT-5.6 Sol UltrafastCerebras
Cerebras Announces New Board Members and Chief Financial Officer - CerebrasCerebras
Cerebras Systems Unveils the Industry’s First Trillion Transistor Chip - CerebrasCerebras
Cerebras Systems Raises $250M in Funding for Over $4B Valuation to Advance the Future of ArtificialCerebras
Supporting the jsDelivr open source CDN with bandwidth for developersBunny
What is Tensor Memory?Modal
