在人工智能蓬勃发展的今天, 大模型 已成为推动技术革新的关键引擎。然而,随着模型规模的指数级增长,算力瓶颈日益凸显,成为制约其发展的重要因素。面对这一挑战, FPGA (Field-Programmable Gate Array)以其独特的优势,逐渐崭露头角,成为加速大模型训练与推理的“潜力股”。而《从RTL级代码剖析FPGA加速大模型训练与推理》这本书的出版,无疑为行业注入了一剂强心针。
Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. When it comes to major ...
If you are searching for a small form factor Field-Programmable Gate Array complete with Mini PCIe you might be interested in the upcoming launch of the TinyBeast FPGA. Offering a PolarFire FPGA in ...
Content Addressable Memory (CAM) architectures provide a powerful approach to high-speed data searches by comparing search data against an entire memory in parallel, rather than relying on sequential ...
With FPGA (Field Programmable Gate Array) embedded systems, you can unlock a world of possibilities. These versatile systems offer a high degree of customization, allowing you to tailor their ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Altera, a division of Intel that makes programmable chips, unveiled today ...
AMD engineered the Kintex UltraScale+ Gen 2 FPGAs to meet the increasingly complex system requirements across industrial and ...
iCometrue received enthusiastic responses following its show at SEMICON TAIWAN 2023. Some companies have expressed great interest in iCometrue's Logic Drive and Field Programmable Multi-Chip Package ...
A field-programmable gate array (FPGA), which consists of memory, programmable logic gates, and other components, is generally involved in digital-circuit design. FPGA settings are typically defined ...
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