Why is Nvidia open sourcing Run:ai, having just acquired it?
Nvidia's acquisition of Run:ai was finalized for $700 million to enhance AI GPU orchestration and improve ecosystem support through open-source software.
HPE crams 224 Nvidia Blackwell GPUs into latest Cray EX
HPE Cray's EX154n systems will drastically increase GPU capacity, supporting up to 224 GPUs and 8,064 CPU cores per cabinet.
Nvidia reportedly forms unit to peddle IP to cloud providers
Nvidia is creating a business unit to sell its intellectual property and design services to cloud providers.
Cloud providers like AWS, Microsoft, and Meta have been developing their own custom silicon alternatives to Nvidia's GPUs for AI workloads.
Why is Nvidia open sourcing Run:ai, having just acquired it?
Nvidia's acquisition of Run:ai was finalized for $700 million to enhance AI GPU orchestration and improve ecosystem support through open-source software.
HPE crams 224 Nvidia Blackwell GPUs into latest Cray EX
HPE Cray's EX154n systems will drastically increase GPU capacity, supporting up to 224 GPUs and 8,064 CPU cores per cabinet.
Nvidia reportedly forms unit to peddle IP to cloud providers
Nvidia is creating a business unit to sell its intellectual property and design services to cloud providers.
Cloud providers like AWS, Microsoft, and Meta have been developing their own custom silicon alternatives to Nvidia's GPUs for AI workloads.
Nscale unveils IP network offering to support AI workloads | Computer Weekly
AI is reshaping network operations, increasing the need for reliable, scalable, and efficient datacentre networks to handle intensive AI workloads.
Interview: Nvidia on AI workloads and their impacts on data storage | Computer Weekly
Understanding the quality and relevance of data is crucial for successful AI projects.
Raspberry Pi gets AI vision superpowers
Raspberry Pi's new AI camera designed for advanced workloads establishes its role in the AI sector.
Do you really need that GPU or NPU for your AI apps?
Artificial intelligence (AI) technology integration is pervasive, from office software to smartphones, raising discussions on the need for separate accelerators like GPUs or NPUs.
Podcast: Storage and AI training, inference, and agentic AI | Computer Weekly
AI processing demands both high-speed performance and effective data management.
Pure deepens Fusion as reorientation to storage for AI continues | Computer Weekly
Pure Storage aims to upgrade its Fusion control plane to provide easily provisioned storage capacity for AI workloads.
Nscale unveils IP network offering to support AI workloads | Computer Weekly
AI is reshaping network operations, increasing the need for reliable, scalable, and efficient datacentre networks to handle intensive AI workloads.
Interview: Nvidia on AI workloads and their impacts on data storage | Computer Weekly
Understanding the quality and relevance of data is crucial for successful AI projects.
Raspberry Pi gets AI vision superpowers
Raspberry Pi's new AI camera designed for advanced workloads establishes its role in the AI sector.
Do you really need that GPU or NPU for your AI apps?
Artificial intelligence (AI) technology integration is pervasive, from office software to smartphones, raising discussions on the need for separate accelerators like GPUs or NPUs.
Podcast: Storage and AI training, inference, and agentic AI | Computer Weekly
AI processing demands both high-speed performance and effective data management.
Pure deepens Fusion as reorientation to storage for AI continues | Computer Weekly
Pure Storage aims to upgrade its Fusion control plane to provide easily provisioned storage capacity for AI workloads.
Cloud providers can hardly keep up with dazzling demand for AI
The demand for cloud capacity due to AI workloads is overwhelming major cloud providers.
Investor patience is running thin amid high expectations for cloud and AI growth.
AWS lowers energy consumption with liquid cooling
AWS enhances its cloud infrastructure with a new liquid cooling system and simplified electrical distribution, increasing efficiency and reducing carbon footprints.
Cloud providers can hardly keep up with dazzling demand for AI
The demand for cloud capacity due to AI workloads is overwhelming major cloud providers.
Investor patience is running thin amid high expectations for cloud and AI growth.
AWS lowers energy consumption with liquid cooling
AWS enhances its cloud infrastructure with a new liquid cooling system and simplified electrical distribution, increasing efficiency and reducing carbon footprints.
Intel, AMD unite in new x86 alliance to tackle AI, other challenges
Intel and AMD's x86 Ecosystem Advisory Group aims to tackle AI workload challenges and enhance architecture interoperability among semiconductor rivals.
AMD's next generation of AI laptop processors have a new name too
AMD announces Ryzen AI 300 series for AI workloads, featuring improved architectures and high performance chips like Ryzen AI 9 HX 370.
Intel, AMD unite in new x86 alliance to tackle AI, other challenges
Intel and AMD's x86 Ecosystem Advisory Group aims to tackle AI workload challenges and enhance architecture interoperability among semiconductor rivals.
AMD's next generation of AI laptop processors have a new name too
AMD announces Ryzen AI 300 series for AI workloads, featuring improved architectures and high performance chips like Ryzen AI 9 HX 370.
Google Cloud expands its database portfolio with new AI capabilities | TechCrunch
Google enhancing databases for AI workloads during Cloud Next conference in Tokyo, focusing on Spanner, Gemini-powered features, and data management for generative AI success.
Oracle Exadata Exascale: Big architecture shift for small workloads | Computer Weekly
Oracle's Exadata Database Service on Exascale aims to enhance performance and cost-efficiency with AI workloads and a shared architecture.
Google Cloud expands its database portfolio with new AI capabilities | TechCrunch
Google enhancing databases for AI workloads during Cloud Next conference in Tokyo, focusing on Spanner, Gemini-powered features, and data management for generative AI success.
Oracle Exadata Exascale: Big architecture shift for small workloads | Computer Weekly
Oracle's Exadata Database Service on Exascale aims to enhance performance and cost-efficiency with AI workloads and a shared architecture.
Tape is so dead, 152.9 exabytes worth of LTO shipped in 2023
Tape storage is not dead despite technological advancements and continues to be relevant in modern data storage strategies.
Microsoft's new Copilot+ PC brand heralds a "new era" in personal computing - here's why we're excited
Microsoft introduces Copilot+ PCs designed for AI workloads, featuring Neural Processing Units and Qualcomm Snapdragon chips for enhanced performance and AI capabilities.
Hosting 101: The do's and don'ts
Small businesses can benefit from dedicated hosting by making the right choices from the start and optimizing workloads for better performance.
Tesla wants to monetize its cars to process AI workloads
Tesla considering using vehicle compute power for cash generation.
AI PCs are here but a killer application for biz users? Nope
Forrester Research emphasizes the lack of a 'killer app' making AI PCs essential for business users.
LANL powers up Nvidia's GH200-packed Venado super
Venado supercomputer focuses on AI workloads with impressive exaFLOPS performance using lower precision calculations.
Ethernet advances will end InfiniBand's lead in AI nets
Ethernet is set to become a better alternative for AI workloads with three imminent improvements predicted by Gartner.
By 2028, it is estimated that 45 percent of Gen AI workloads will run on Ethernet, up from less than 20 percent currently.
AMD and Microsoft cement relationship with cloud collaborations
Azure customers can run high intensity or AI workloads on powerful infrastructure
Customers don't need to house or maintain the infrastructure themselves
Interview: Nvidia on AI workload demands and storage performance | Computer Weekly
AI workloads have varying I/O profiles impacting storage differently.
HP shows the AI PC ecosystem is starting to bear fruit - is it time for businesses to take note?
AI-ready PCs with dedicated hardware not likely in mainstream by 2024, but software advancements make them worth considering for added value.
Podcast: Storage for AI needs scale, hybrid cloud and multiple integrations | Computer Weekly
AI workloads have different performance and capacity requirements compared to traditional enterprise workloads, needing to handle large datasets from gigabytes to petabytes and utilizing multiple cloud platforms.
Importance of storage scalability, performance, API integration, and data wrangling capabilities in handling AI workloads across hybrid cloud environments.
Pure CEO: AI needs write speed and storage in place | Computer Weekly
Storage write speed is key for checkpointing in AI workloads.
Podcast: Storage for AI needs scale, hybrid cloud and multiple integrations | Computer Weekly
AI workloads have different performance and capacity requirements compared to traditional enterprise workloads, needing to handle large datasets from gigabytes to petabytes and utilizing multiple cloud platforms.
Importance of storage scalability, performance, API integration, and data wrangling capabilities in handling AI workloads across hybrid cloud environments.
Pure CEO: AI needs write speed and storage in place | Computer Weekly
Storage write speed is key for checkpointing in AI workloads.