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来源:LM317 Electronics Components编辑:Decawave时间:2021-06-15 14:43:18

The previous 28-nm Jericho chip was announced in March 2015. The technology comes from the high-end switch fabric chips designed by startup Dune Networks that Broadcom acquired in late 2009.

Nevertheless, I was surprised by the speeds of hundreds of microseconds or a few milliseconds of some of the proposals and key and signature sizes of 1 to 10 KBytes that are unpleasant but we can live with.”

All sides agreed that blockchain will have limited use and is not the security pixie dust” that some claim due to problems such as high latency and uncertain accuracy, said Rivest.

RN55C2343BRE6_Vishay Dale

Few applications can make use of the distributed nature of blockchains, and some suffer from it, said Marlinspike. The consumer space sees it as zero-value.”

— Rick Merritt, Silicon Valley Bureau Chief, EE Times

SAN JOSE, Calif. — China’s Baidu followed in Google’s footsteps this week, announcing it has developed its own deep learning accelerator. The move adds yet another significant player to a long list in AI hardware, but details of the chip and when it will be used remain unclear.

RN55C2343BRE6_Vishay Dale

Baidu will deploy Kunlun in its data centers to accelerate machine learning jobs for both its own applications and those of its cloud-computing customers. The services will compete with companies such as Wave Computing and SambaNova who aim to sell to business users appliances that run machine-learning tasks.

Kunlun delivers 260 Tera-operations/second while consuming 100 Watts, 30 times as powerful as Baidu’s prior accelerators based on FPGAs. The chip is made in a 14nm Samsung process and consists of thousands of cores with an aggregate 512 GBytes/second of memory bandwidth.

RN55C2343BRE6_Vishay Dale

Baidu did not disclose its architecture, but like Google’s Tensor Processing Unit, it probably consists of an array of multiply-accumulate units. The memory bandwidth likely comes from use of a 2.5D stack of logic and the equivalent of two HBM2 DRAM chips.

Kunlun will come in a version for training (the 818-300 chip) and one for less computationally intensive inference jobs (the 818-100). It is aimed for use both in data centers and edge devices such as self-driving cars. Baidu did not comment on when it will offer access to the chip as a service on its Web site or its plans for merchant sales, if any, to third parties,

Global Unichip said it has recently met some Russian companies that aim to make Bitcoin-mining equipment even though the Russian government has banned the business domestically. While China has halted domestic Bitcoin trading, most of the world’s companies making Bitcoin-mining equipment are Chinese.

GUC says it has so much experience with Bitcoin designs that the company has created a standard operating procedure, shortening the lead time. With a netlist, GUC says it can evaluate performance very quickly. The company will sometimes screen out potential customers that lack advanced technology or sound financial information.

We will evaluate the efficiency of their design,” says Chan. The efficiency of the Bitmain chip is a good benchmark for us.”

GUC’s Lewis Chu is the key person in charge of screening proposals from potential clients. Every year, we can do about 30 NTOs (new tape outs),” Chu says. In the future, 7nm will need more resources.” The demand on internal resources will increase by as much as ten times compared with a 28nm design.”

That’s just one of the reasons why GUC’s headcount is increasing by 20 percent this year compared with a more normal increase of 3-5 percent in past years. The company has had difficulty finding qualified personnel in Taiwan, but after opening an office in Nanjing, China, in August last year, GUC has been hiring more people there. Seed engineers from Taiwan are helping bring the new hires in Nanjing up to speed. 

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