Quick Take: AWS re:Invent Day 1

AWS

AWS unveiled a range of new features and services, reflecting its continued focus on innovation across generative AI, compute, and storage. These announcements include enhancements to Amazon Bedrock for improved testing and data integration, new capabilities for the generative AI assistant Amazon Q, high-performance storage-optimized EC2 instances, and advanced storage solutions like intelligent tiering and a dedicated data transfer terminal

Research Note: Hammerspace Global Data Platform v5.1 with Tier 0

Hammerspace Architecture

Hammerspace recently announced the version 5.1 release of its Hammerspace Global Data Platform. The flagship feature of the release its new Tier 0 storage capability, which takes unused local NVMe storage on a GPU server and uses it as part of the global shared filesystem. This provides higher-performance storage for the GPU server than can be delivered from remote storage nodes – ideal for AI and GPU-centric workloads.

Quick Take: Snowflake Acquires Datavolo

Deal

Snowflake recently announced its acquisition of Datavolo, a data pipeline management company, to enhance its capabilities in automating data flows across enterprise environments.

Research Note: NVIDIA SC24 Announcements

NVIDIA Infrastructure

At the recent Supercomputing 2024 (SC24) conference in Atlanta, NVIDIA announced new hardware and software capabilities to enhance AI and HPC capabilities. This includes the new GB200 NVL4 Superchip, the general available of its H200 NVL PCIe, and several new software capabilities.

Quick Take: NTT Data Acquires Niveus Solutions

Deal

NTT Data, a global IT services leader, announced its acquisition of Niveus Solutions, a cloud engineering firm specializing in Google Cloud Platform (GCP) services. The deal brings a strategic addition to NTT Data’s arsenal, enhancing its position in the cloud services ecosystem and advancing its partnership with Google Cloud.

Are IT Organizations Ready for the GenAI Revolution? Let’s Ask.

Survey Says

Over the past few months, we’ve seen surveys published by tech companies across the spectrum that show us how gen AI is forcing IT organizations to assess their readiness for its adoption and deployment. The surveys offer a comprehensive view of the industry’s current stance, showing enthusiasm balanced by caution around organizational and infrastructure challenges.

Let’s examine recent surveys from the tech industry itself to see what they say about IT’s readiness to tackle the challenges of generative AI.

Research Note: Minio AIStor Object Storage

Minio AIStor

MinIO recently introduced AIStor, its new object storage solution designed for AI/ML workloads. AIStor leverages insights from large-scale customer environments, some exceeding 1 EiB of data, to address the unique challenges of managing and scaling data infrastructure for AI applications.

Research Note: Tanium’s New AEM & Cloud Workload Solutions

Tanium

At its recent Converge 2024 user conference in Orlando, Tanium announced two significant portfolio updates: Tanium Autonomous Endpoint Management (AEM) and Tanium Cloud Workloads.
The new solutions advance endpoint and containerized workload management through real-time insights, automation, and AI-powered functionalities.