News
AWS Trainium chips will be the preferred processors for training Mosaic AI models on the Databricks platform, the company announced today. The deal represents a blow to Nvidia’s continued AI dominance ...
14d
Gadget on MSNAWS Summit: Bedrock powers next wave of GenAI apps
At the Johannesburg event, the tech giant showcased the evolution of services from simple model access to customisable, enterprise-ready AI, writes JASON BANNIER.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Amazon today announced half a dozen new features and tools for AWS ...
Together with Anthropic, AWS is building an EC2 UltraCluster of Trn2 UltraServers, named Project Rainier, which will scale out distributed model training across hundreds of thousands of Trainium2 ...
In order to help enterprises generate embeddings for training or prompting foundation models, AWS is also making its Amazon Titan Multimodal Embeddings generally available.
SEATTLE — Oct. 10, 2022 — Amazon Web Services today announced the general availability of Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS-designed Trainium chips. Trn1 ...
While AWS is making it clear it will continue to innovate around GPUs for cloud-based machine learning, there was little doubt after today that the company’s own Trainium devices are set to outdo what ...
AWS doubles down on generative AI training - SiliconANGLEAmazon Web Services Inc. is extending its reach further into the domain of artificial intelligence software development with the release ...
There’s a shortage of GPUs as the demand for generative AI, which is often trained and run on GPUs, grows. Nvidia’s best-performing chips are reportedly sold out until 2024. The CEO of chipmaker TSMC ...
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more The usage of AI continues to expand, and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results