Research Notes
Research Note: Microsoft Phi-3 Small Language Model
Microsoft recently announced its Phi-3 small language models (SLMs), designed to deliver powerful performance at a reduced cost. These SLMs offer a compelling option for developers and businesses looking to harness the potential of generative AI.
This Research Note looks at what Microsoft announced.
Research Note: AWS Bedrock GenAI Enhancements
Amazon announced updates to its Bedrock generative AI platform that expands its capabilities while improving the user experience. These enhancements focus on helping developers create AI applications quickly and securely.
Research Note: HashiCorp Infrastructure Cloud
HashiCorp introduced “The Infrastructure Cloud” to aid organizations in maximizing their cloud investments, focusing on enabling teams to ship code quickly while minimizing costs and security risks.
Research Note: Dell APEX Files for Microsoft Azure
Dell recently introduced its new APEX File Storage for Microsoft Azure, designed to enhance businesses’ multi-cloud capabilities. The new solution integrates Dell PowerScale OneFS, its high-performance storage system, into the Azure cloud, allowing customers to manage and consolidate data efficiently, reduce costs, and improve data security and protection. It also utilizes Azure’s AI tools to provide quicker insights.
Research Note: SAP HANA Cloud Vector Engine
SAP recently introduced its new SAP HANA Cloud Vector Engine, designed to bridge the gap between LLMs’ advanced capabilities and enterprise-specific business needs.
Research Note: Intel Gaudi 3
Intel announced its long-anticipated new Intel Gaudi 3 AI accelerator at its Intel Vision event. The new accelerator offers significant improvements over the previous generation Gaudi 3 processor and promises to challenge Nvidia’s current generation accelerators in training and inference for LLMs and multimodal models.