A Team of Female Founders Is Launching Cloud Security Tech That Could Overhaul AI ProtectionEdera is developing innovative technology for secure cloud workload isolation to counteract vulnerabilities in shared cloud systems.
Edera is building a better Kubernetes and AI security solution from the ground up | TechCrunchEdera aims to enhance security for Kubernetes containers and AI workloads with a new hypervisor, addressing longstanding challenges in multi-tenancy.
A Team of Female Founders Is Launching Cloud Security Tech That Could Overhaul AI ProtectionEdera is developing innovative technology for secure cloud workload isolation to counteract vulnerabilities in shared cloud systems.
Edera is building a better Kubernetes and AI security solution from the ground up | TechCrunchEdera aims to enhance security for Kubernetes containers and AI workloads with a new hypervisor, addressing longstanding challenges in multi-tenancy.
Verizon Business Looks to a More Demanding AI FutureVerizon Business launched AI Connect to enable scalable AI workloads for major enterprises.
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 EXHPE Cray's EX154n systems will drastically increase GPU capacity, supporting up to 224 GPUs and 8,064 CPU cores per cabinet.
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 EXHPE Cray's EX154n systems will drastically increase GPU capacity, supporting up to 224 GPUs and 8,064 CPU cores per cabinet.
Nscale unveils IP network offering to support AI workloads | Computer WeeklyAI 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 WeeklyUnderstanding the quality and relevance of data is crucial for successful AI projects.
Raspberry Pi gets AI vision superpowersRaspberry 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 WeeklyAI processing demands both high-speed performance and effective data management.
Pure deepens Fusion as reorientation to storage for AI continues | Computer WeeklyPure 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 WeeklyAI 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 WeeklyUnderstanding the quality and relevance of data is crucial for successful AI projects.
Raspberry Pi gets AI vision superpowersRaspberry 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 WeeklyAI processing demands both high-speed performance and effective data management.
Pure deepens Fusion as reorientation to storage for AI continues | Computer WeeklyPure 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 AIThe 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 coolingAWS 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 AIThe 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 coolingAWS enhances its cloud infrastructure with a new liquid cooling system and simplified electrical distribution, increasing efficiency and reducing carbon footprints.
NetApp can better handle AI workloads through Vultr partnershipNetApp ONTAP integration with Vultr enhances AI workloads and simplifies data management for businesses in data-intensive industries.
NetApp upgrades AFF all-flash as it targets AI storage | Computer WeeklyNetApp refreshes AFF all-flash storage arrays targeting AI workloads and energy efficiency.
NetApp can better handle AI workloads through Vultr partnershipNetApp ONTAP integration with Vultr enhances AI workloads and simplifies data management for businesses in data-intensive industries.
NetApp upgrades AFF all-flash as it targets AI storage | Computer WeeklyNetApp refreshes AFF all-flash storage arrays targeting AI workloads and energy efficiency.
Windows Server IoT 2025 is all about that speedWindows Server IoT 2025 enhances performance and speed for edge computing, supporting AI workloads and improving peripheral management capabilities.
Red Hat Device Edge 4.17 processes workloads in near real-timeRed Hat's Device Edge platform upgrade improves processing speed for time-sensitive workloads, enabling real-time responses necessary for critical applications.
Windows Server IoT 2025 is all about that speedWindows Server IoT 2025 enhances performance and speed for edge computing, supporting AI workloads and improving peripheral management capabilities.
Red Hat Device Edge 4.17 processes workloads in near real-timeRed Hat's Device Edge platform upgrade improves processing speed for time-sensitive workloads, enabling real-time responses necessary for critical applications.
Okteto 3.0 brings remote deployments, faster build times, and deeper insights to platform engineering - AmazicOkteto focuses on enhancing deployment velocity through innovative solutions.The startup's developments include remote deployments and smart builds for efficiency.
Kubernetes at 10: The long road to mastery of persistent storage | Computer WeeklyKubernetes celebrates its 10th birthday as the market-leading container orchestration platform.
Okteto 3.0 brings remote deployments, faster build times, and deeper insights to platform engineering - AmazicOkteto focuses on enhancing deployment velocity through innovative solutions.The startup's developments include remote deployments and smart builds for efficiency.
Kubernetes at 10: The long road to mastery of persistent storage | Computer WeeklyKubernetes celebrates its 10th birthday as the market-leading container orchestration platform.
Intel, AMD unite in new x86 alliance to tackle AI, other challengesIntel 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 tooAMD 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 challengesIntel 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 tooAMD 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 | TechCrunchGoogle 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 WeeklyOracle'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 | TechCrunchGoogle 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 WeeklyOracle'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 2023Tape 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 excitedMicrosoft 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'tsSmall 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 workloadsTesla considering using vehicle compute power for cash generation.
AI PCs are here but a killer application for biz users? NopeForrester Research emphasizes the lack of a 'killer app' making AI PCs essential for business users.
LANL powers up Nvidia's GH200-packed Venado superVenado supercomputer focuses on AI workloads with impressive exaFLOPS performance using lower precision calculations.
Ethernet advances will end InfiniBand's lead in AI netsEthernet 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.
Rafay Systems: There's more to the cloud than Kubernetes & we're out to simplify it all - AmazicRafay Systems simplifies Kubernetes and expands to AI and non-Kubernetes workloads.
Cern: Challenges of GPU datacentre management | Computer WeeklyCern awarded CNCF Top End User AwardCern exploring GPUs for AI workloadsKubernetes Scheduler supports GPU sharing
Rafay Systems: There's more to the cloud than Kubernetes & we're out to simplify it all - AmazicRafay Systems simplifies Kubernetes and expands to AI and non-Kubernetes workloads.
Cern: Challenges of GPU datacentre management | Computer WeeklyCern awarded CNCF Top End User AwardCern exploring GPUs for AI workloadsKubernetes Scheduler supports GPU sharing
Interview: Nvidia on AI workload demands and storage performance | Computer WeeklyAI 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 WeeklyAI 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 WeeklyStorage write speed is key for checkpointing in AI workloads.
Podcast: Storage for AI needs scale, hybrid cloud and multiple integrations | Computer WeeklyAI 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 WeeklyStorage write speed is key for checkpointing in AI workloads.