In a head-to-head battle of AI accelerators, the results are in — and Axelera AI didn’t just win, it ran laps around the competition.
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Consumers looking to upgrade from an older RTX xx50 GPU or legacy, mid-range GTX-class GPU, to a low-power modern graphics card may want to check out the GeForce RTX 5050.
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AMD’s latest achievement signals not only the company’s technical chops, but its commitment to driving more sustainable solutions in accelerated computing.
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With the ZBook Ultra, HP may have hit a new sweet spot between traditional power users and the emerging generation of AI-driven developers and creators.
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In their 40-year history, FPGAs have enabled a multitude of innovations, and even today they show no signs of stopping.
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The upcoming Dell Pro Max Plus with Qualcomm AI 100s still represents an interesting value proposition for AI engineers and data scientists that can benefit from a mobile form factor.
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NVLink Fusion represents a new branch of how Nvidia approaches the cloud data center and hyperscaler markets, empowering partners like Qualcomm, Marvell, Fujitsu and MediaTek to design purpose-built silicon solutions that can interface directly to Nvidia’s Blackwell GPU architecture via the company’s now open and extensible NVLink architecture.
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EPYC 4005 Series spec sheets may not stand out versus high-end server platforms, but this new AMD CPU family is a smart, strategic play in a fast-growing segment.
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Built in collaboration with Nvidia, and leveraging the latter’s latest Blackwell GPU architecture, the M2000 is more than a spec sheet upgrade—it’s a structural shift in how simulation infrastructure is architected.
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SiTime, a Silicon Valley company specializing in MEMS-based timing solutions — tiny mechanical structures built on silicon that deliver precise system clock timing with superior resilience to shock, vibration, and temperature fluctuations — is expanding its footprint to the mobile market with the introduction of its SiT30100 Symphonic clock generator.
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Intel has to establish more trust in the industry and not only prove the competitiveness of its processes, but also that partners can make the chips with familiar and established workflows, consistently and with high reliability. Just about everything I heard today made me believe Intel is on track to do just that.
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In a joint announcement reflecting the growing importance of ecosystem collaboration in semiconductor design, Synopsys and Intel Foundry have expanded their partnership in support of chip development on Intel’s 18A and 18A-P process technologies.
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At Intel Vision 2025, newly appointed CEO Lip-Bu Tan took the stage to outline his plans for Intel's future.
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Chips and systems are getting more complex and there is a shortage of humans with the experience and expertise to design and build them. Faster, more capable, intelligent tools are paramount to ensure quality and ensure optimal time to market.
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From Copilot+ PCs to gaming, AI-enhanced printing and IT management tools, HP made it clear that its embedding AI across its product lines to streamline workflows, boost security, and optimize hybrid work environments.
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Nvidia has been working on a set of performance testing tools, called DGX Cloud Benchmark Recipes, that are designed to help organizations evaluate how their hardware and cloud infrastructure perform when running the most advanced AI models available today. Our team at HotTech had a chance to kick the tires on a few of these recipes recently, and found the data they can capture to be extremely insightful.
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Intel launched its high-performance Arrow Lake-H and HX series mobile processors, officially known as the Core Ultra 200H and 200HX, at CES 2025 and showed off an array of partner systems based on the chips as well. For those unfamiliar, Arrow Lake-H is very different than the lower-power Lunar Lake-based Core Ultra 200S series for notebooks that launched a few months back. Arrow Lake-H is a higher-power mobile platform, that uses the same “Lion Cove” P-cores and “Skymont” E-cores as Arrow Lake-based desktop processors, but tuned for lower-power mobile applications. Arrow Lake-H also features an NPU and a relatively powerful integrated Xe-LPG+ GPU, but the NPU isn’t quite as powerful as what’s utilized in Lunar Lake. In fact Arrow Lake-H’s NPU is akin to the one Intel employed on the previous-gen Meteor Lake and desktop Arrow Lake processors. Don’t let that make you think Arrow Lake-H isn’t well suited for AI workloads, though.
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leaders in the EDA space like Cadence have continuously bolstered their toolsets to better assist customers of all sizes in the design, simulation and testing of their wares. But a few weeks ago, Cadence took things a significant step further, and actually architected, designed, and taped out what the company calls the industry’s first Arm-based system chiplet, in an effort to help customers design and implement their own chiplets.
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Just as it leads in data center AI accelerators, NVIDIA’s lead in the PC graphics space has been dominant for years and generations of products. When the company announced its forthcoming GeForce RTX 50 series of graphic cards based on its Blackwell GPU architecture back at CES in Las Vegas this year, there was almost no question as to whether NVIDIA would have the most powerful product on the market, competitively, when cards ship to gamers later this month. However, details and the nuanced picture of performance with the new GeForce RTX 5090, which is first out of the gate, had to wait until today’s embargo lift.
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It’s not uncommon to see major chip players introduce new and novel approaches to traditional computing paradigms at CES in Las Vegas in January. And if ever there was a limelight moment in that regard, AMD found it with the introduction of its new chip and platform architecture formerly known by the code name Strix Halo, and unveiled officially last week as Ryzen AI Max Series. This chip cojoins existing AMD CPU and GPU architectures, along with a high speed memory interface, in an unprecedented way, compared to traditional X86 laptop or desktop chip designs. And it’s safe to say this new Application Processing Unit, as AMD likes to call them, stole the show for many…
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