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.
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.
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.
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.
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.
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.
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.
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.
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
Memory prices to rise next year, Gartner forecasts
The semiconductor market is expected to return to growth in 2024, driven by increasing demand for AI workloads and memory components.
Gartner estimates that global semiconductor revenues will rise 16.8% in 2024, following a contraction in sales for 2023.
Making sense of Nvidia's SuperNIC
Nvidia has introduced a new networking accelerator called SuperNIC, designed to boost AI workloads in Ethernet-based networks.
SuperNIC offers features such as high-speed packet reordering, advanced congestion control, programmable I/O pathing, and integration with Nvidia's hardware and software portfolio.
SuperNIC is not a rebrand of Nvidia's previous DPU, but a separate product designed to work with Nvidia's Spectrum-X offering.
Microsoft launches custom chips to accelerate its plans for AI domination
Microsoft announced two custom chips for accelerating AI workloads in its Azure cloud computing service.
Maia is designed for large language models like GPT-3.5 Turbo and GPT-4, while Cobalt is a CPU for conventional tasks.
Microsoft plans to use these chips internally and not sell them.
Microsoft launches custom chips to accelerate its plans for AI domination
Microsoft announced two custom chips for accelerating AI workloads in its Azure cloud computing service.
Maia is designed for large language models like GPT-3.5 Turbo and GPT-4, while Cobalt is a CPU for conventional tasks.
Microsoft plans to use these chips internally and not sell them.
Microsoft Announces New Maia 100 and Cobalt 100 Chips
Microsoft will release two custom chips next year: the Maia 100 designed for AI workloads and the Cobalt 100 CPU for general compute workloads on Microsoft cloud.
The chips are built in-house by Microsoft, allowing for customization of the entire infrastructure stack to maximize performance.
Microsoft has developed custom server racks with liquid cooling to accommodate the Maia 100 AI Accelerator.
Microsoft Announces New Maia 100 and Cobalt 100 Chips
Microsoft will release two custom chips next year: the Maia 100 designed for AI workloads and the Cobalt 100 CPU for general compute workloads on Microsoft cloud.
The chips are built in-house by Microsoft, allowing for customization of the entire infrastructure stack to maximize performance.
Microsoft has developed custom server racks with liquid cooling to accommodate the Maia 100 AI Accelerator.
Microsoft launches custom chips to accelerate its plans for AI domination
Microsoft announced two custom chips for accelerating AI workloads in its Azure cloud computing service.
Maia is designed for large language models like GPT-3.5 Turbo and GPT-4, while Cobalt is a CPU for conventional tasks.
Microsoft plans to use these chips internally and not sell them.
Microsoft launches custom chips to accelerate its plans for AI domination
Microsoft announced two custom chips for accelerating AI workloads in its Azure cloud computing service.
Maia is designed for large language models like GPT-3.5 Turbo and GPT-4, while Cobalt is a CPU for conventional tasks.
Microsoft plans to use these chips internally and not sell them.
Microsoft Announces New Maia 100 and Cobalt 100 Chips
Microsoft will release two custom chips next year: the Maia 100 designed for AI workloads and the Cobalt 100 CPU for general compute workloads on Microsoft cloud.
The chips are built in-house by Microsoft, allowing for customization of the entire infrastructure stack to maximize performance.
Microsoft has developed custom server racks with liquid cooling to accommodate the Maia 100 AI Accelerator.
Microsoft Announces New Maia 100 and Cobalt 100 Chips
Microsoft will release two custom chips next year: the Maia 100 designed for AI workloads and the Cobalt 100 CPU for general compute workloads on Microsoft cloud.
The chips are built in-house by Microsoft, allowing for customization of the entire infrastructure stack to maximize performance.
Microsoft has developed custom server racks with liquid cooling to accommodate the Maia 100 AI Accelerator.