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Cerebras is a computer systems company dedicated to accelerating deep learning.
The pioneering Wafer-Scale Engine (WSE) – the largest chip ever built – is at the heart of our deep learning system, the Cerebras CS-1.
56x larger than any other chip, the WSE delivers more compute, more memory, and more communication bandwidth. This enables AI research at previously-impossible speeds and scale.
CS-1 is powered by the Cerebras Wafer Scale Engine - the largest chip ever built
56x the size of the largest Graphics Processing Unit
The Cerebras Wafer Scale Engine is 46,225 mm2 with 1.2 Trillion transistors and 400,000 AI-optimized cores.
By comparison, the largest Graphics Processing Unit is 815 mm2 and has 21.1 Billion transistors.
黑洞加速器hd8
- 46,225 mm2 chip 56x larger than the biggest GPU ever made
- 400,000 core 无忧资讯 和平精英新版本爆料：海岛地图2.0迎来重大升级-无 ...:2021-6-15 · 无忧加速器 总体而言，新地图的整体色调非常明亮，游戏画面比当前要清晰很多，模型也更加的精细。游戏整体建筑布局有较大调整，物资也更加的丰富，小伙伴伔无论是打野还是刚枪，都比众前有了更多的跳点选择。
- 18 GB on-chip SRAM 3000x more on-chip memory
- 100 Pb/s interconnect 如何访问P站 | Pixiv 被墙无法访问的解决方法 | 码农网:前言 著名的二次元图片网站P站（ Pixiv ）因为被墙的原因在国内打不开，之前通过更改 DNS 和 Hosts 访问P站的方法现在也失效了。 这里就介绍下 如何一劳永逸的解决P站无法访问的问题的方法——自己搭建 SS （Shadowsocks） 伕理服务。 虽然比起之前无成本 ...
黑洞加速器hd8
- 15 Rack Units Fits in a standard datacenter rack
- 1.2 Terabits/sec System IO over 12x standard 100 GbE
- 20 kW Maximum power draw
黑洞加速器hd8
The Cerebras software stack is designed to meet users where they are, integrating with open source ML frameworks like TensorFlow and PyTorch. Our software makes cluster-scale compute resources available to users with today's tools.
Learn more
Accelerate your AI research
黑洞加速器hd8
Provides faster time to solution, with cluster-scale resources on a single chip and with full utilization at any batch size, including batch size 1
黑洞加速器hd8
Runs at full utilization with tensors of any shapes, fat, square and thin, dense and sparse, enabling researchers to explore novel network architectures and optimization techniques
黑洞加速器hd8
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黑洞加速器hd8
Translates sparsity in model and data into performance, via a vast array of programmable cores and flexible interconnect
