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ServiceNow recently announced its new Workflow Data Fabric, an advanced data integration and automation platform that unifies enterprise data across disparate systems, enabling real-time, AI-powered actions and insights.
IBM recently released Granite 3.0, its third generation of LLMs, designed to balance performance with safety, speed, and cost-efficiency for enterprise use. Its flagship model, Granite 3.0 8B Instruct, is a dense, instruction-tuned LLM optimized for enterprise tasks, trained on 12 trillion tokens across multiple languages and programming languages.
Google Cloud recently announced a series of significant upgrades to its database solutions, emphasizing its commitment to supporting enterprise generative AI (gen AI) applications. The new capabilities focus on enhancing developer tools, simplifying database management, and modernizing database infrastructure.
Dell Technologies made significant strides in AI infrastructure with its Integrated Rack 7000 (IR7000) launch and associated platforms for AI and HPC. The announcements introduce enhancements in computing density, power efficiency, and data management, catering specifically to AI workloads.
While AI is foundational to the next wave of digital transformation, traditional data and storage infrastructure -even many parallel file systems- isn’t prepared for the demands required to support today’s AI lifecycle, which places unprecedented demands on storage and data infrastructure.
Developing an effective data infrastructure for AI requires a holistic approach, considering data, database, processing, and storage as a unified entity. This is how VAST Data approaches the challenge.
Oracle announced the general availability of the Oracle Exadata Database Service on Exascale Infrastructure, offering extreme performance, reliability, availability, and security for Oracle Database workloads. This new infrastructure is now available on Oracle Cloud Infrastructure (OCI), catering to any workload size for all Oracle Database customers.
Traditional storage solutions, whether on-premises or in the cloud, often fail to meet the varying needs of each phase of the AI lifecycle. These legacy approaches are particularly ill-suited for the demands of distributed training, where keeping an expensive AI training cluster idle has a real economic impact on the enterprise.
Oracle HeatWave GenAI is now generally available. The release features the industry’s first in-database large language models (LLMs), automated vector store, scale-out vector processing, and natural language conversations informed by unstructured content.
At NVIDIA GTC earlier this year, Dell announced a collaboration with NVIDIA to deliver the Dell AI Factory with NVIDIA that was heavily based on NVIDIA technology. At this year’s Dell Tech World, Dell went further, introducing its own Dell AI Factory, while also updating the Dell AI Factory with NVIDIA.
IBM and Palo Alto Networks recently entered into a groundbreaking partnership, driving a substantial shift in the cybersecurity landscape. The new collaboration leverages each company’s strengths to enhance AI-powered customer security outcomes, while also moving IBM’s QRadar offering to Palo Alto Networks.
At the recent OCP Global Summit 2024, the organization unveiled several major initiatives highlighting OCP’s commitment to driving innovation and fostering collaboration in the tech ecosystem. This includes expanding its AI Strategic Initiative with contributions from NVIDIA and Meta, new alliances for sustainability and standardization, and the launch of an open chiplet marketplace.
Sony Semiconductor Solutions Corporation (SSS) and Raspberry Pi Ltd recently announced the release of a co-developed AI Camera designed to accelerate the development of AI solutions for edge processing.
Reflecting on the 2023 MWC Las Vegas convention, where AI was the central theme, it’s clear that enterprise 5G has now taken center stage. This shift builds on the momentum created by AI’s integration into various technologies. It underscores the importance of low latency, highly managed private 5G networks in successful AI at the edge deployments.
Cisco is reportedly on the verge of investing in CoreWeave, one of the hottest neo-cloud providers specializing in AI infrastructure, in a transaction valuing the GPU cloud provider at $23 billion. CoreWeave has rapidly scaled its AI capabilities by utilizing NVIDIA GPUs for data centers, becoming a key player in the AI infrastructure market.
HPE exited the multi-vendor network operations business in 2017 by divesting its OpenView platform to Micro Focus (now part of OpenText). However, times have changed, and HPE is back in the multi-vendor game with the latest release of their OpsRamp-integrated network management system, Central.
The AMD MI300’s advanced architecture, featuring high memory capacity, low power consumption, and solid performance, is finding a home among cloud providers. While Microsoft Azure previously announced MI300-based instances, there are new announcements from specialty GPU cloud provider Vultr and the mainstream CSP Oracle Cloud Infrastructure of new integrations with AMD’s MI300 accelerator.
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