XC7K70T-2FB676I_AD1983JCPZ Introduction

Software developers and data scientists can leverage the Vitis platform's advanced programming capabilities for applications and clusters to realize the benefits of Alveo and self-tuning computing. Xilinx has invested heavily in the Vitis development platform and tools to make self-tuning computing more accessible to software developers and data scientists without hardware expertise.

Despite the gradual slowdown of Moore's Law, the exponential growth in FPGA transistor counts over the past 20+ years has not diminished. EDA has long faced various challenges: the number of devices is increasing and the design is getting more complex.

XC7K70T-2FB676I_AD1983JCPZ

XC7K70T-3FB676E

XC7K325T-L2FBG676I XC7K410T-L2FFG676I XC7K325T-1FB900C XC7K325T-3FBG900E XC7K325T-L2FBG900I.

XC7K355T-2FF901C XC7K355T-2FF901I XC7K355T-2FFG676C XC7K355T-2FFG676I XC7K355T-2FFG900C.

XC7K160T XC7K160T-1FB484C XC7K160T-1FB484I XC7K160T-1FBG484C XC7K160T-1FBG676C.

XC7K325T-2FGG900I XC7K325T-3FB900C XC7K325T-3FB900E XC7K325T-3FBG676C XC7K325T-3FBG676I.

XC7K70T-2FB676I_AD1983JCPZ

AD1981HDJSTZ

XC7K355T-1FF901I XC7K355T-1FFG676C XC7K355T-1FFG676I XC7K355T-1FFG901 XC7K355T-1FFG901I.

XC7K160T-2FF676I4342 XC7K160T-2FF676I4347 XC7K160T-2FFG576I XC7K160T-2FFG676 XC7K160T-2FFG676C.

XC7K355T-1FBG676C XC7K355T-1FBG676I XC7K355T-1FBG901C XC7K355T-1FBG901I XC7K355T-1FF901C .

XC7K160T-3FFG676I XC7K160TFBG676 XC7K160TFF676 XC7K160TFFG676 XC7K160T-FFG676.

XC7K70T-2FB676I_AD1983JCPZ

In this way, we apply these advantages to all data centers on a large scale, which is a major advance in the wider application of Alveo and self-tuning computing in the data center field.

This has also led to a variety of design methods, the richness of which even exceeds the number of atoms in the universe. In other words, playing EDA is much harder than playing Go.

relevant information