DDR5 Technology Makes RAM Twice Faster Than Now

DDR4 has only just begun to become widely known in the past two years, but now the discourse about DDR5 has begun to blow. This technology is planned to be demonstrated in June by JEDEC, the organization responsible for setting computer memory technology standards.
DDR5 Technology Makes RAM Twice Faster Than Now
DDR5 Technology Makes RAM Twice Faster Than Now
JEDEC so far has not dared to detail the DD5 specification, but they promise bandwidth and density is double that of DDR4. Simply put, DDR5 will be twice as speeding, but at the same time also more power efficient.

Although the demonstration will take place in the near future, its presence as a product that can be bought on the market is still very far from now. JEDEC hopes to finish designing and setting the DDR5 standard by 2018, but that doesn't mean consumers can get it soon after.

The reason is, if you look at the development of DDR4, the standard has indeed been set since 2012, but DDR4 RAM itself only began to be marketed in 2015 when processor manufacturers such as Intel have presented support for their homemade chipsets.

DDR4 itself can now be considered mainstream, although the journey is arguably quite slow. My personal PC still uses DDR3 RAM, and so far its performance is still quite reliable, both for work and gaming.

Should I skip DDR4 and upgrade directly to DDR5 later? It's okay, but that might only be realized by 2020, so there's no harm in upgrading to DDR4 first if a budget is available.
CLINTON GULTOM seoarang anak petani dan keluarga miskin dan hanya ingin mengetahui apa yang saya belum ketahui dan juga memperdalam ilmu dunia

1 Komentar Untuk "DDR5 Technology Makes RAM Twice Faster Than Now"

  1. Anyone looking to upgrade in career with in demand training skills can reach out to us for best career mapping solutions and training recommendations.This course enables beginners to grasp the basics of Mathematics, Artificial Intelligence, Machine Learning, and Deep Learning. The use of Python libraries like Keras, Tensor Flow, and OpenCV to solve AI and Deep learning problems are explained. Students are instructed on how to implement Deep Learning solutions and image processing applications using Convolution Neural Networks. Training is imparted on performing Text Analytics and Natural Language Processing (NLP) using Recurrent Neural Networks. They also learn how GPUs and TPUs are applied in Deep Learning algorithms
    artificial intelligence training

    ReplyDelete

Iklan Atas Artikel

Iklan Tengah Artikel 1

Iklan Tengah Artikel 2

Iklan Bawah Artikel