Intel today showcased how Intel Xeon 6 processors with Efficient-cores (E-cores) have dramatically accelerated time-to-market adoption for the company's solutions in collaboration with the ecosystem. Since product introduction in June 2024, 5G core solution partners have independently validated a 3.2x performance improvement, a 3.8x performance per watt increase and, in collaboration with the Intel Infrastructure Power Manager launched at MWC 2024, a 60% reduction in run-time power consumption.

"As 5G core networks continue to build out using Intel Xeon processors, which are deployed in the vast majority of 5G networks worldwide, infrastructure efficiency, power savings and uncompromised performance are essential criteria for communication service providers (CoSPs). Intel is pleased to announce that our 5G core solution partners have accelerated the adoption of Intel Xeon 6 with E-cores and are immediately passing along these benefits to their customers. In addition, with Intel Infrastructure Power Manager, our partners have a run-time software solution that is showing tremendous progress in reducing server power in CoSP environments on existing and new infrastructure." -Alex Quach, Intel vice president and general manager of Wireline and Core Network Division

Last December, details of NVIDIA's RTX GeForce 50-series of mobile GPUs leaked online—fast-forward to the present day; Team Green and hardware partners are touted to release higher-end devices at some point next month, following a pre-order period. Lower-end offerings seem to be distant prospects; industry moles suggest a May launch window. Last week rumors emerged online; notebook supply chain insiders reckon that a "significant delay" will affect initial shipments of GeForce RTX 50-equipped laptops. It is not clear whether these issues will impact the rumored GeForce RTX 5060 and RTX 5050 mobile models, but HP has accidentally confirmed that an updated Victus laptop will utilize the aforementioned budget-friendly GPUs.

VideoCardz has preserved an intriguing screenshot. Their report alleges that a refreshed HP Victus 15 laptop variant (FA2) utilizes Intel 13th Gen "Raptor Lake" processors, paired with unannounced "hybrid graphics" options. HP's product component list includes last-gen Core 7 240H, Core 5 230H, Core i7-13620H, and Core i5-13420H processor SKUs. Older configurations of this 15.6" gaming laptop sported mobile GeForce RTX 4050, RTX 3050, RTX 3050A, and RTX 2050 GPUs. The leaked document suggests that modernized graphics packages are in the pipeline, but HP has not confirmed any concrete timelines.

Hewlett Packard Enterprise announced today that it has shipped its first NVIDIA Blackwell family-based solution, the NVIDIA GB200 NVL72. This rack-scale system by HPE is designed to help service providers and large enterprises quickly deploy very large, complex AI clusters with advanced, direct liquid cooling solutions to optimize efficiency and performance. "AI service providers and large enterprise model builders are under tremendous pressure to offer scalability, extreme performance, and fast time-to-deployment," said Trish Damkroger, senior vice president and general manager of HPC & AI Infrastructure Solutions, HPE. "As builders of the world's top three fastest systems with direct liquid cooling, HPE offers customers lower cost per token training and best-in-class performance with industry-leading services expertise."

The NVIDIA GB200 NVL72 features shared-memory, low-latency architecture with the latest GPU technology designed for extremely large AI models of over a trillion parameters, in one memory space. GB200 NVL72 offers seamless integration of NVIDIA CPUs, GPUs, compute and switch trays, networking, and software, bringing together extreme performance to address heavily parallelizable workloads, like generative AI (GenAI) model training and inferencing, along with NVIDIA software applications. "Engineers, scientists and researchers need cutting-edge liquid cooling technology to keep up with increasing power and compute requirements," said Bob Pette, vice president of enterprise platforms at NVIDIA. "Building on continued collaboration between HPE and NVIDIA, HPE's first shipment of NVIDIA GB200 NVL72 will help service providers and large enterprises efficiently build, deploy and scale large AI clusters."

Hewlett Packard Enterprise today announced eight new HPE ProLiant Compute Gen12 servers, the latest additions to a new generation of enterprise servers that introduce industry-first security capabilities, optimize performance for complex workloads and boost productivity with management features enhanced by artificial intelligence (AI). The new servers will feature upcoming Intel Xeon 6 processors for data center and edge environments.

"Our customers are tackling workloads that are overwhelmingly data-intensive and growing ever-more demanding," said Krista Satterthwaite, senior vice president and general manager, Compute at HPE. "The new HPE ProLiant Compute Gen12 servers give organizations - spanning public sector, enterprise and vertical industries like finance, healthcare and more - the horsepower and management insights they need to thrive while balancing their sustainability goals and managing costs. This is a modern enterprise platform engineered for the hybrid world, designed with innovative security and control capabilities to help companies prevail over the evolving threat landscape and performance challenges that their legacy hardware cannot address."

Since its introduction, the NVIDIA Hopper architecture has transformed the AI and high-performance computing (HPC) landscape, helping enterprises, researchers and developers tackle the world's most complex challenges with higher performance and greater energy efficiency. During the Supercomputing 2024 conference, NVIDIA announced the availability of the NVIDIA H200 NVL PCIe GPU - the latest addition to the Hopper family. H200 NVL is ideal for organizations with data centers looking for lower-power, air-cooled enterprise rack designs with flexible configurations to deliver acceleration for every AI and HPC workload, regardless of size.

According to a recent survey, roughly 70% of enterprise racks are 20kW and below and use air cooling. This makes PCIe GPUs essential, as they provide granularity of node deployment, whether using one, two, four or eight GPUs - enabling data centers to pack more computing power into smaller spaces. Companies can then use their existing racks and select the number of GPUs that best suits their needs. Enterprises can use H200 NVL to accelerate AI and HPC applications, while also improving energy efficiency through reduced power consumption. With a 1.5x memory increase and 1.2x bandwidth increase over NVIDIA H100 NVL, companies can use H200 NVL to fine-tune LLMs within a few hours and deliver up to 1.7x faster inference performance. For HPC workloads, performance is boosted up to 1.3x over H100 NVL and 2.5x over the NVIDIA Ampere architecture generation.

Intel Corp. (INTC) and AMD (NASDAQ: AMD) today announced the creation of an x86 ecosystem advisory group bringing together technology leaders to shape the future of the world's most widely used computing architecture. x86 is uniquely positioned to meet customers' emerging needs by delivering superior performance and seamless interoperability across hardware and software platforms. The group will focus on identifying new ways to expand the x86 ecosystem by enabling compatibility across platforms, simplifying software development, and providing developers with a platform to identify architectural needs and features to create innovative and scalable solutions for the future.

For over four decades, x86 has served as the bedrock of modern computing, establishing itself as the preferred architecture in data centers and PCs worldwide. In today's evolving landscape - characterized by dynamic AI workloads, custom chiplets, and advancements in 3D packaging and system architectures - the importance of a robust and expanding x86 ecosystem is more crucial than ever.

Hewlett Packard Enterprise announced the industry's first 100% fanless direct liquid cooling systems architecture to enhance the energy and cost efficiency of large-scale AI deployments. The company introduced the innovation at its AI Day, held for members of the financial community at one of its state-of-the-art AI systems manufacturing facilities. During the event, the company showcased its expertise and leadership in AI across enterprises, sovereign governments, service providers and model builders.

Industry's first 100% fanless direct liquid cooling system
While efficiency has improved in next-generation accelerators, power consumption is continuing to intensify with AI adoption, outstripping traditional cooling techniques.

Hewlett Packard Enterprise today announced the HPE ProLiant Compute XD685 for complex AI model training tasks, powered by 5th Gen AMD EPYC processors and AMD Instinct MI325X accelerators. The new HPE system is optimized to quickly deploy high-performing, secure and energy-efficient AI clusters for use in large language model training, natural language processing and multi-modal training.

The race is on to unlock the promise of AI and its potential to dramatically advance outcomes in workforce productivity, healthcare, climate sciences and much more. To capture this potential, AI service providers, governments and large model builders require flexible, high-performance solutions that can be brought to market quickly.

As enterprises race to adopt generative AI and bring new services to market, the demands on data center infrastructure have never been greater. Training large language models is one challenge, but delivering LLM-powered real-time services is another. In the latest round of MLPerf industry benchmarks, Inference v4.1, NVIDIA platforms delivered leading performance across all data center tests. The first-ever submission of the upcoming NVIDIA Blackwell platform revealed up to 4x more performance than the NVIDIA H100 Tensor Core GPU on MLPerf's biggest LLM workload, Llama 2 70B, thanks to its use of a second-generation Transformer Engine and FP4 Tensor Cores.

The NVIDIA H200 Tensor Core GPU delivered outstanding results on every benchmark in the data center category - including the latest addition to the benchmark, the Mixtral 8x7B mixture of experts (MoE) LLM, which features a total of 46.7 billion parameters, with 12.9 billion parameters active per token. MoE models have gained popularity as a way to bring more versatility to LLM deployments, as they're capable of answering a wide variety of questions and performing more diverse tasks in a single deployment. They're also more efficient since they only activate a few experts per inference - meaning they deliver results much faster than dense models of a similar size.

NVIDIA today announced widespread adoption of the NVIDIA Spectrum -X Ethernet networking platform as well as an accelerated product release schedule. CoreWeave, GMO Internet Group, Lambda, Scaleway, STPX Global and Yotta are among the first AI cloud service providers embracing NVIDIA Spectrum-X to bring extreme networking performance to their AI infrastructures. Additionally, several NVIDIA partners have announced Spectrum-based products, including ASRock Rack, ASUS, GIGABYTE, Ingrasys, Inventec, Pegatron, QCT, Wistron and Wiwynn, which join Dell Technologies, Hewlett Packard Enterprise, Lenovo and Supermicro in incorporating the platform into their offerings.

"Rapid advancements in groundbreaking technologies like generative AI underscore the necessity for every business to prioritize networking innovation to gain a competitive edge," said Gilad Shainer, senior vice president of networking at NVIDIA. "NVIDIA Spectrum-X revolutionizes Ethernet networking to let businesses fully harness the power of their AI infrastructures to transform their operations and their industries."

AMD, Broadcom, Cisco, Google, Hewlett Packard Enterprise (HPE), Intel, Meta and Microsoft today announced they have aligned to develop a new industry standard dedicated to advancing high-speed and low latency communication for scale-up AI systems linking in Data Centers.

Called the Ultra Accelerator Link (UALink), this initial group will define and establish an open industry standard that will enable AI accelerators to communicate more effectively. By creating an interconnect based upon open standards, UALink will enable system OEMs, IT professionals and system integrators to create a pathway for easier integration, greater flexibility and scalability of their AI-connected data centers.

NVIDIA today announced a new wave of networking switches, the X800 series, designed for massive-scale AI. The world's first networking platforms capable of end-to-end 800 Gb/s throughput, NVIDIA Quantum-X800 InfiniBand and NVIDIA Spectrum -X800 Ethernet push the boundaries of networking performance for computing and AI workloads. They feature software that further accelerates AI, cloud, data processing and HPC applications in every type of data center, including those that incorporate the newly released NVIDIA Blackwell architecture-based product lineup.

"NVIDIA Networking is central to the scalability of our AI supercomputing infrastructure," said Gilad Shainer, senior vice president of Networking at NVIDIA. "NVIDIA X800 switches are end-to-end networking platforms that enable us to achieve trillion-parameter-scale generative AI essential for new AI infrastructures."

Today, KIOXIA SSDs took flight with the launch of the NG-20 mission rocket, which is delivering an updated HPE Spaceborne Computer-2, based on HPE EdgeLine and ProLiant servers from Hewlett Packard Enterprise (HPE), to the International Space Station (ISS). KIOXIA SSDs provide robust flash storage in HPE Spaceborne Computer-2 to conduct scientific experiments aboard the space station.

HPE Spaceborne Computer-2, based on commercial off-the-shelf technology, provides edge computing and AI capabilities on board the research outpost as part of a greater mission to significantly advance computing power in space and reduce dependency on communications as space exploration continues to expand. Designed to perform various high-performance computing (HPC) workloads in space, including real-time image processing, deep learning, and scientific simulations, HPE Spaceborne Computer-2 can be used to compute a number of experiment types including healthcare, natural disaster recovery, 3D printing, 5G, AI, and more.

Kioxia Corporation, a world leader in memory solutions, today announced that its lineup of KIOXIA RM7 Series Value SAS SSDs are now available in HPE ProLiant Gen11 servers from Hewlett Packard Enterprise (HPE). KIOXIA RM7 Series SSDs are the latest generation of the company's 12 Gb/s Value SAS SSDs, which provide server applications with higher performance, reliability and lower latency than SATA SSDs, delivering higher IOPS/W and IOPS/$.

In addition to being available in ProLiant servers, KIOXIA RM Series Value SAS SSDs are being used in the HPE Spaceborne Computer-2 (SBC-2). As part of the program, KIOXIA SSDs provide robust flash storage in HPE Edgeline and HPE ProLiant servers in a test environment to conduct scientific experiments aboard the International Space Station (ISS).

NVIDIA today announced that Dell Technologies, Hewlett Packard Enterprise and Lenovo will be the first to integrate NVIDIA Spectrum-X Ethernet networking technologies for AI into their server lineups to help enterprise customers speed up generative AI workloads. Purpose-built for generative AI, Spectrum-X offers enterprises a new class of Ethernet networking that can achieve 1.6x higher networking performance for AI communication versus traditional Ethernet offerings. The new systems coming from three of the top system makers bring together Spectrum-X with NVIDIA Tensor Core GPUs, NVIDIA AI Enterprise software and NVIDIA AI Workbench software to provide enterprises the building blocks to transform their businesses with generative AI.

"Generative AI and accelerated computing are driving a generational transition as enterprises upgrade their data centers to serve these workloads," said Jensen Huang, founder and CEO of NVIDIA. "Accelerated networking is the catalyst for a new wave of systems from NVIDIA's leading server manufacturer partners to speed the shift to the era of generative AI."

NVIDIA today announced the world's leading system manufacturers will deliver AI-ready servers that support VMware Private AI Foundation with NVIDIA, announced separately today, to help companies customize and deploy generative AI applications using their proprietary business data. NVIDIA AI-ready servers will include NVIDIA L40S GPUs, NVIDIA BlueField -3 DPUs and NVIDIA AI Enterprise software to enable enterprises to fine-tune generative AI foundation models and deploy generative AI applications like intelligent chatbots, search and summarization tools. These servers also provide NVIDIA-accelerated infrastructure and software to power VMware Private AI Foundation with NVIDIA.

NVIDIA L40S-powered servers from leading global system manufacturers - Dell Technologies, Hewlett Packard Enterprise and Lenovo . will be available by year-end to accelerate enterprise AI. "A new computing era has begun," said Jensen Huang, founder and CEO of NVIDIA. "Companies in every industry are racing to adopt generative AI. With our ecosystem of world-leading software and system partners, we are bringing generative AI to the world's enterprises."

AMD today announced that its AMD EPYC Embedded Series processors are powering Hewlett Packard Enterprise's new modular, multi-protocol storage solution, HPE Alletra Storage MP. AMD EPYC Embedded processors provide the performance and energy efficiency required for enterprise-class storage systems with high availability, resilience, and industry-leading connectivity and longevity.

The HPE Alletra Storage MP supports a disaggregated infrastructure with multiple storage protocols on the same hardware that can scale independently for performance and capacity. Configurable for block and file stores, HPE Alletra Storage MP gives customers the ability to deploy, manage, and orchestrate data and storage services via the HPE GreenLake edge-to-cloud platform, regardless of the workload and storage protocol. This eliminates data silos, reducing cost and complexity while improving performance.

NVIDIA today announced a supercomputer built on the NVIDIA Grace CPU Superchip, adding to a wave of new energy-efficient supercomputers based on the Arm Neoverse platform. The Isambard 3 supercomputer to be based at the Bristol & Bath Science Park, in the U.K., will feature 384 Arm-based NVIDIA Grace CPU Superchips to power medical and scientific research, and is expected to deliver 6x the performance and energy efficiency of Isambard 2, placing it among Europe's most energy-efficient systems.

It will achieve about 2.7 petaflops of FP64 peak performance and consume less than 270 kilowatts of power, ranking it among the world's three greenest non-accelerated supercomputers. The project is being led by the University of Bristol, as part of the research consortium the GW4 Alliance, together with the universities of Bath, Cardiff and Exeter.

HyperX is readying its brand new Pulsefire Warp wireless gaming mouse, and it may have jumped the queue in front of the recently revealed Pulsefire Haste 2 wired and wireless models. The Pulsefire Warp seems to be an exclusive item for sale only on the MechKeys online store for the time being, and there is no word about it becoming available at more mainstream outlets. The Haste 2 variants have been spotted out in the wild, but only a few lucky people managed to snag these mice early - that initial batch was either a time exclusive preview or issued in error by parent company Hewlett Packard, via its official Ebay outlet. HyperX has stated that the official Haste 2 launch window is scheduled for next month.

The Pulsefire Warp looks to sit below the Haste 2 Wireless in terms of specifications - it lacks the latter's high-end optical sensor (PAW 3395), fancy primary switches and a shell engineered to be very light in weight (74 g vs. 60 g respectively). This indicates that it is a more budget friendly offering, coming at a release price of $65.99, yet the Haste 2 Wireless will have an MSRP of $79.99, and the Haste 2 Wired's MSRP will be $59.99. HyperX is likely targeting different segments within the gaming mouse buying market with its Pulsefire range - the Warp will appeal to a more general audience with an offering of solid performance, a transparent shell aesthetic paired with RGB lighting. In contrast, the Haste 2 variants are stripped back in appearance and tuned for maximum performance - so enthusiasts and hardcore competitive types will be eager to get a hands-on with these.

For more than a decade, Intel and its partners have been on a mission to virtualize the world's networks, from the core to the RAN (radio access network) and out to the edge, moving them from fixed-function hardware onto programmable, software-defined platforms, making networks more agile while driving down their complexity and cost.

Now operators are looking to cross the next chasm in delivering cloud-native functionality for automating, managing and responding to an increasingly diverse mix of data and services, providing organizations with the intelligence needed at the edge of their operations. Today, Intel announced a range of products and solutions driving this transition and broad industry support from leading operators, original equipment manufacturers (OEMs) and independent software vendors (ISVs).

Today, KIOXIA America, Inc. announces its proud participation in the Hewlett Packard Enterprise (HPE) Spaceborne Computer-2 (SBC-2) program. As part of the program, KIOXIA SSDs provide robust flash storage in HPE Edgeline and HPE ProLiant servers in a test environment to conduct scientific experiments aboard the International Space Station (ISS).

"By bringing KIOXIA's expertise and its SSDs, one of the industry's leading NAND flash capabilities, with HPE Spaceborne Computer-2, together we are pushing the boundaries of scientific discovery and innovation at the most extreme edge."

Hewlett Packard Enterprise (NYSE: HPE) today announced it is making supercomputing accessible for more enterprises to harness insights, solve problems and innovate faster by delivering its world-leading, energy-efficient supercomputers in a smaller form factor and at a lower price point.

The expanded portfolio includes new HPE Cray EX and HPE Cray XD supercomputers, which are based on HPE's exascale innovation that delivers end-to-end, purpose-built technologies in compute, accelerated compute, interconnect, storage, software, and flexible power and cooling options. The supercomputers provide significant performance and AI-at-scale capabilities to tackle demanding, data-intensive workloads, speed up AI and machine learning initiatives, and accelerate innovation to deliver products and services to market faster.

Hewlett Packard Enterprise (NYSE: HPE) today announced that it is the first major server provider to deliver a new line of cloud-native compute solutions using processors from Ampere. The new HPE solutions provide service providers and enterprises embracing cloud-native development with an agile, extensible, and trusted compute foundation to drive innovation.

Available in Q3 2022, the new HPE ProLiant RL300 Gen11 server is the first in a series of HPE ProLiant RL Gen11 servers that deliver next-generation compute performance with higher power efficiency using Ampere Altra and Ampere Altra Max cloud-native processors.

Hewlett Packard Enterprise (NYSE: HPE) today announced its ongoing commitment in Europe by building its first factory in the region for next-generation high performance computing (HPC) and artificial intelligence (AI) systems to accelerate delivery to customers and strengthen the region's supplier ecosystem. The new site will manufacture HPE's industry-leading systems as custom-designed solutions to advance scientific research, mature AL/ML initiatives, and bolster innovation.

The dedicated HPC factory, which will become the fourth of HPE's global HPC sites, will be located in Kutná Hora, Czech Republic, next to HPE's existing European site for manufacturing its industry-standard servers and storage solutions. Operations will begin in summer 2022.

Ayar Labs, the leader in chip-to-chip optical connectivity, today announced that the company has secured $130 million in additional financing led by Boardman Bay Capital Management to drive the commercialization of its breakthrough optical I/O solution. Hewlett Packard Enterprise (HPE) and NVIDIA entered this investment round, joining existing strategic investors Applied Ventures LLC, GlobalFoundries, Intel Capital, and Lockheed Martin Ventures. Other new strategic and financial investors participating in the round include Agave SPV, Atreides Capital, Berkeley Frontier Fund, IAG Capital Partners, Infinitum Capital, Nautilus Venture Partners, and Tyche Partners. They join existing investors such as BlueSky Capital, Founders Fund, Playground Global, and TechU Venture Partners.

"As a successful technology-focused crossover fund operating for over a decade, Ayar Labs represents our largest private investment to date," said Will Graves, Chief Investment Officer at Boardman Bay Capital Management. "We believe that silicon photonics-based optical interconnects in the data center and telecommunications markets represent a massive new opportunity and that Ayar Labs is the leader in this emerging space with proven technology, a fantastic team, and the right ecosystem partners and strategy."