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Cohesity completed its long-awaited merger with Veritas’ enterprise data protection business. The combined entity, valued at $7 billion, now serves 12,000 customers globally and generates $1.5 billion in ARR.
Dell Technologies has made significant additions to its AI portfolio with its recent announcements at SC24 and Microsoft Ignite 2024 in November. The announcements span infrastructure, ecosystem partnerships, and professional services, targeting accelerated AI adoption, operational efficiency, and sustainability in enterprise environments.
Tranium is AWS’s machine learning accelerator, and this week at its re:Invent event in Las Vegas, it announced the second generation, the cleverly named Trainium2, purpose-built to enhance the training of large-scale AI models, including foundation models and large language models.
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.
Cloudian’s new HyperStore with NVIDIA GPUDirect for Object Storage is a significant step forward in high-performance data management. The seamless integration of GPUDirect with HyperStore allows users to benefit from Cloudian’s scalability and ease of use while enabling a dedicated high-performance data path for GPU 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.
AI Datatypes aren’t just a technical detail—it’s a critical factor that affects performance, accuracy, power efficiency, and even the feasibility of deploying AI models.
Understanding the datatypes used in AI isn’t just for hands-on practitioners, you often see published benchmarks and other performance numbers broken out by datatype (just look at an NVIDIA GPU data sheet). What’s it all mean?
AWS has made close to 50 announcements in the first 2 days of re:Invent. This blog takes a look at the most interesting AI services & infrastructure related ones.
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
Snowflake recently announced its acquisition of Datavolo, a data pipeline management company, to enhance its capabilities in automating data flows across enterprise environments.
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.
November was a busy month of announcements in infrastructure and connectivity, revealing a convergence of innovation to meet the stringent demands of AI-driven workloads, scalability, and cost efficiency.
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