Latest news with #KarinEibschitzSegal
Yahoo
5 days ago
- Business
- Yahoo
Intel's Xeon 6 CPU Selected for Nvidia's DGX B300 AI System
On Thursday, Intel Corp. (NASDAQ:INTC) announced its latest central processing units/CPUs for servers, with one of them securing a spot in NVIDIA Corp's (NASDAQ:NVDA) DGX B300 AI computer. Intel also unveiled three new additions to its Intel Xeon 6 series of CPUs, specifically designed to manage advanced graphics processing unit/GPU-powered AI systems. A technician soldering components for a semiconductor board. One of these new processors will serve as the host CPU for NVIDIA's DGX B300, which is the AI leader's newest generation of AI-accelerated systems. Intel's Xeon 6 processors incorporate a technology called Priority Core Turbo, which dynamically adjusts workloads between high-priority compute cores and low-priority cores to maximize efficiency. Karin Eibschitz Segal, corporate vice president and interim general manager of Intel's Data Center Group, expressed excitement about deepening collaboration with NVIDIA to deliver high-performing AI systems and accelerate AI adoption across various industries. Intel Corp. (NASDAQ:INTC) designs, develops, manufactures, markets, and sells computing and related products and services worldwide. While we acknowledge the potential of INTC to grow, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than INTC and that has 100x upside potential, check out our report about the cheapest AI stock. READ NEXT: and . Disclosure: None. This article is originally published at Insider Monkey. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
6 days ago
- Business
- Yahoo
Intel's Xeon 6 CPU Selected for Nvidia's DGX B300 AI System
On Thursday, Intel Corp. (NASDAQ:INTC) announced its latest central processing units/CPUs for servers, with one of them securing a spot in NVIDIA Corp's (NASDAQ:NVDA) DGX B300 AI computer. Intel also unveiled three new additions to its Intel Xeon 6 series of CPUs, specifically designed to manage advanced graphics processing unit/GPU-powered AI systems. A technician soldering components for a semiconductor board. One of these new processors will serve as the host CPU for NVIDIA's DGX B300, which is the AI leader's newest generation of AI-accelerated systems. Intel's Xeon 6 processors incorporate a technology called Priority Core Turbo, which dynamically adjusts workloads between high-priority compute cores and low-priority cores to maximize efficiency. Karin Eibschitz Segal, corporate vice president and interim general manager of Intel's Data Center Group, expressed excitement about deepening collaboration with NVIDIA to deliver high-performing AI systems and accelerate AI adoption across various industries. Intel Corp. (NASDAQ:INTC) designs, develops, manufactures, markets, and sells computing and related products and services worldwide. While we acknowledge the potential of INTC to grow, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than INTC and that has 100x upside potential, check out our report about the cheapest AI stock. READ NEXT: and . Disclosure: None. This article is originally published at Insider Monkey.
Time of India
23-05-2025
- Business
- Time of India
Intel launches new Xeon 6 processors for advanced AI systems
NEW DELHI: Intel has launched three new processors under its Xeon 6 lineup to power advanced GPU-powered artificial intelligence (AI) systems. These new processors with Performance-cores (P-cores) include Intel's Priority Core Turbo (PCT) technology and Intel Speed Select Technology – Turbo Frequency, delivering customisable CPU core frequencies to boost GPU performance across demanding AI workloads, the company said in a statement. Intel said its Xeon 6776P processor is already serving as a host CPU for the Nvidia DGX B300 GPU, which is the AI chipmaker's latest generation of AI-accelerated systems. 'These new Xeon SKUs demonstrate the unmatched performance of Intel Xeon 6, making it the ideal CPU for next-gen GPU-accelerated AI systems ,' said Karin Eibschitz Segal, corporate vice president and interim general manager of the Data Center Group at Intel. 'We're thrilled to deepen our collaboration with NVIDIA to deliver one of the industry's highest-performing AI systems, helping accelerate AI adoption across industries,' he added. Intel said its Xeon 6 processors with P-cores ensure balanced workload distribution for intensive AI tasks, up to 30% faster memory speeds compared to its rivals, faster data transfer for I/O-intensive workloads, and support FP16 precision arithmetic for efficient data preprocessing and critical CPU tasks in AI workloads.
Techday NZ
23-05-2025
- Business
- Techday NZ
Intel unveils Xeon 6 CPUs to boost GPU-driven AI systems
Intel has introduced three new Intel Xeon 6 series processors designed to enhance performance in GPU-accelerated artificial intelligence (AI) systems. The new processors feature Performance-cores (P-cores) and incorporate Intel's Priority Core Turbo (PCT) technology and Intel Speed Select Technology – Turbo Frequency (Intel SST-TF). These features allow for customisable CPU core frequencies, which are expected to support GPU performance across demanding AI workloads. One of the newly released Xeon 6 processors, the Intel Xeon 6776P, serves as the host CPU in the NVIDIA DGX B300 AI-accelerated system. The Xeon 6776P manages, orchestrates, and supports the overall AI-accelerated system within the DGX B300 architecture. With an extensive memory capacity and robust bandwidth, the processor is engineered to cater to the expanding requirements of AI models and large datasets. Karin Eibschitz Segal, Corporate Vice President and Interim General Manager of the Data Center Group at Intel, commented, "These new Xeon SKUs demonstrate the unmatched performance of Intel Xeon 6, making it the ideal CPU for next-gen GPU-accelerated AI systems. We're thrilled to deepen our collaboration with NVIDIA to deliver one of the industry's highest-performing AI systems, helping accelerate AI adoption across industries." According to Intel, the pairing of Priority Core Turbo and Intel SST-TF brings significant advancements to AI system efficiency. The PCT technology allows high-priority cores to run at increased turbo frequencies for time-critical tasks, while lower-priority cores operate at base speed. This segregation ensures an optimal allocation of CPU resources, which is regarded as crucial for AI tasks that require significant sequential or serial processing. The intent is to enable CPUs to feed data to GPUs more rapidly, streamlining system effectiveness in demanding scenarios. The new Xeon 6 processors with P-cores are built to offer high core counts and improved single-threaded performance. Each processor can reach up to 128 P-cores, aimed at facilitating a balanced distribution of intensive AI workloads across the available cores. Intel reports that memory speeds with the Xeon 6 processors can be 30% faster compared to competing solutions, particularly in high-capacity DRAM configurations. This is supported by both latest MRDIMMs and Compute Express Link standards, which are designed to improve memory bandwidth for data-intensive applications. The processors also offer greater input/output capabilities, providing up to 20% more PCIe lanes than earlier generations. This feature is intended to enhance data transfer rates for input/output-intensive workloads commonly found in enterprise AI and data centre applications. Intel emphasises strong reliability and serviceability features in the design of these new CPUs, aiming for extended system uptime and reduced risk of disruptions to enterprise operations. Additional support comes from Intel Advanced Matrix Extensions, which enable FP16 precision arithmetic for efficient data preprocessing and critical CPU-driven tasks within AI environments. The adoption of these processors is intended for enterprises looking to modernise infrastructure in anticipation of increasingly complex AI workloads. The energy efficiency and performance characteristics are targeted at a broad array of data centre and network applications. Follow us on: Share on:
