Jon Peddie’s Tech Watch
In our consulting services, we provide clients with a bi-weekly report called Jon Peddie’s Tech Watch. This report offers insightful opinions and updates about the high-tech industry. It delivers the latest information for anyone who needs to stay informed about current trends in graphics, multimedia, technology, and products. Our consulting clients can choose from two different service levels:
Outlet metrics
Global
#984902
United States
#668503
Computers Electronics and Technology/Computer Hardware
#1756
Articles
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1 week ago |
jonpeddie.com | Karen Moltenbrey
Japanese anime is popular around the world, and Japan knows it is a valuable export. While the market for anime continues to grow, the number of anime artists is on the decline and continues on this downward trend. (Source: Andri Tegar Mahardika, Pixabay)The main reasons for this decline are attributed to low pay and long work hours. More experienced anime animators are burnt out and frustrated.
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1 week ago |
jonpeddie.com | Kathleen Maher
The stakes were low for Apple’s WWDC 25— Apple did exceed them. In 2024, the company promised advanced AI features for Siri and other applications. When those improvements never materialized and Apple admitted the need to delay some changes, the tech press started writing obits for Apple. As it turned out, what Apple did have to show off in time for WWDC 25 was a flashy new interface and no lack of Apple Intelligence throughout the product portfolio.
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1 week ago |
jonpeddie.com | Jon Peddie
Nvidia launched the first GPU in 1999 with the GeForce 256, introducing hardware T&L to off-load CPU workloads. The 2001 GeForce 3 added programmable shaders, starting a new era in graphics. Shader counts soared from dozens to tens of thousands by 2025, evolving through unified shader models and AI acceleration. Nvidia’s 2017 Tensor Cores marked a pivot to AI, now central in gaming and data centers. Despite massive performance leaps, GPU prices have risen modestly.
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1 week ago |
jonpeddie.com | Jon Peddie
At its Advancing AI event, AMD launched the MI350 series GPUs, built on the new CDNA 4 architecture. These accelerators challenge Nvidia’s B200 on cost-performance for small-to-medium AI model inference but are not a rack-scale competitor to the GB200 NVL72 for large-scale training. The architecture uses eight compute chiplets and 288GB of HBM3E memory. Its key innovation is support for new, reduced-precision data types like FP4, dramatically increasing AI throughput and efficiency.
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2 weeks ago |
jonpeddie.com | Jon Peddie
AMD previewed its next-generation AI GPU, the MI400 series and demonstrated how the MI450 would compare to the current MI350. The MI350 series, including Instinct MI350X and MI355X GPUs and platforms, will be available by the third quarter. AMD also showed its next-generation rack system called Helios. Several partners joined CEO Lisa Su on stage to support the open AI ecosystem. AMD executives stated they can beat Nvidia’s B200 on price, performance, and power efficiency.
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