Research Notes
Research Note: Lenovo’s AMD-based AI Portfolio Update
Lenovo announced a comprehensive set of AMD-based updates to its AI infrastructure portfolio, which include GPU-rich and thermal-efficient systems designed for compute-intensive workloads in various industries, including financial services and healthcare.
The new offerings, designed in partnership with AMD, address the growing demand for compute-intensive workloads across industries, providing the flexibility and scalability required for AI deployments.
Research Note: NVIDIA Acquires Run:AI
NVIDIA announced an agreement to acquire Run:ai, a startup specializing in chip management and orchestration software based on Kubernetes. The acquisition is part of CEO Jensen Huang’s strategy to diversify Nvidia’s revenue streams from chips to software.
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.
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