Blogs
Cerebras Brings Trillion Parameter Inference to Enterprises with Kimi K2.6
Run Kimi K2.6 at 981 output tokens per second in Cerebras enterprise trials, enabling real-time agentic coding and trillion-parameter AI workloads.
BlogsWhy Cyber Defense Needs Faster InferenceCerebras
BlogsAlex - iOS Development with AI and Cerebras InferenceCerebras
BlogsMulti-Billion-Parameter Model Training Made Easy with CSoft R1.3 - CerebrasCerebras
BlogsOpenAI Partners with Cerebras to Bring High-Speed Inference to the MainstreamCerebras
BlogsCerebras at NeurIPS 2025: Nine Papers From Pretraining to InferenceCerebras
BlogsBringing Cerebras Inference to Quora Poe’s Fast Growing AI EcosystemCerebras
BlogsEverything You Always Wanted to Know About Type Inference - And a Little Bit MoreGo
BlogsForbes Highlights the ‘Hidden Tax’ Companies Pay to Hackers Featuring ZeroTierZerotier
BlogsAccelerating Code Completion with Fireworks Fast LLM InferenceFireworks
BlogsKimi K3 is competitive with Fable; Kimi K3 + Fable is SoTA.Fireworks
EventsCloud Native Live Fireside Chat—Powering Private AI: Customer’s ViewCncf
BlogsA technical report on Composer 2 · CursorCursor
BlogsServerless servers: Efficient serverless Node.js with in-function concurrencyVercel
ResourcesProfile enumFastly
ResearchThe Culture Funnel: You can’t align what isn’t in the dataCohere
ResearchPushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction TuningCohere
BlogsDo you still need Elasticsearch for log analytics? ClickHouse says no.Clickhouse
BlogsHumanizing Digital Technology with NorbyCerebras
NewsAWS and Cerebras Collaboration Aims to Set a New Standard for AI Inference Speed and Performance inCerebras
BlogsIntroducing Fireworks on Microsoft Foundry: Bringing Best-in-Class Open Model inference to AzureFireworks
