Scalable, Cost-Efficient AI: Introducing Unified Batch Inference on DigitalOcean
Process high-volume AI workloads asynchronously with DigitalOcean Batch Inference. Reduce inference costs by up to 50% using OpenAI and Anthropic models through one unified API.
Introducing CORPS: The 5 Pillars for a Robust Cloud Architecture FrameworkThenewstack
Introducing New Slimmer Docker ImagesPulumi
Introducing: H100s on ModalModal
Anthropic integration with Modal brings scalable compute to Claude ScienceModal
pg_duckdb: Splicing Duck and Elephant DNAMotherduck
The Serverless Backend for Analytics: Introducing MotherDuck’s Native Integration on VercelMotherduck
The rise of slow personal assistantsCerebras
Introducing DocChat: GPT-4 Level Conversational QA Trained In a Few Hours - CerebrasCerebras
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
AMD and Cerebras Announce Disaggregated AI InferenceCerebras
Cerebras Systems, Ranovus win $45 million US military deal to speed up chip connectionsCerebras
Cerebras Systems Raises $250M in Funding for Over $4B Valuation to Advance the Future of ArtificialCerebras
