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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testflight
- 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，小伙伴伀无论是打野还是刚枪，都比伃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） 企理服务。 虽然比起之前无成本 ...
黑洞加速器testflight
- 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testflight
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testflight
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
Unlock new techniques and models
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
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Design extraordinarily sparse networks
Translates sparsity in model and data into performance, via a vast array of programmable cores and flexible interconnect
