AMD has announced the first product based on its Vega graphics processing unit (GPU) architecture: Radeon Vega Frontier Edition. Through its high bandwidth cache controller, the cornerstone of the advanced GPU memory architecture - HBM2 - Radeon Vega Frontier Edition expands the capacity of traditional GPU memory to 256TB.
The Radeon Vega Frontier Edition's memory engine allows professionals to achieve photorealistic detail in computer-generated imagery. The Radeon Vega Frontier Edition GPU offers multi-GPU scaling, with 91% faster rendering using two Radeon Vega Frontier Edition GPUs.
With the Radeon Pro Settings user interface, users can switch between Radeon Pro Mode and Gaming Mode to alternate between development on animation applications like Autodesk Maya and performance optimizations with free, open source tools available through AMD's GPUOpen initiative.
Samsung HKMG DDR5
Samsung Electronics has expanded its DDR5 DRAM memory portfolio with a 512GB DDR5 module...
Photo: Company
Nvidia GeForce RTX 30 series GPUs
Nvidia's GeForce RTX 30 series GPUs are powered by the company's Ampere architecture. The...
Photo: Company
Apple HomePod mini
Apple's HomePod mini is the newest addition to the HomePod family. At just 3.3 inches tall,...
Photo: Company
Apple 13-inch MacBook Pro with Magic Keyboard
Apple has updated the 13-inch MacBook Pro with the new Magic Keyboard for an improved typing...
Photo: Company
Apple iPad Pros
Apple's new iPad Pros comes with the latest A12Z Bionic chip, an ultra-wide camera, studio-quality...
Photo: Company
Japan's semiconductor revival must not only involve Taiwan but also include strategic cooperation with...
As 2024 comes to a close, we look back at the major topics and events across multiple industry sectors, including EVs, AI, semiconductors, servers, and...
Global investment plans of Japanese IDMs
Geopolitical tensions prompt Japanese IDMs to gather capacities in Japan's Kyushu and Tohoku regions and prioritize their OSAT...
CSP in-house development of ASIC accelerators
Google TPUs will see a share of over 70% in the in-house developed cloud ASIC accelerator market in 2024; an all-optical network...
AI chip market outlook 2023-2028: Insights from demand and supply perspectives
The growing demand for AI computational power is accelerating advancements in hardware and chip technology, necessitating innovation...