Tenstorrent Achieves First-Pass Silicon Success for High-Performance AI Processor SoC

Reading time ( words)

Synopsys, Inc. announces that Tenstorrent has achieved first-pass silicon success for its Grayskull AI processor system-on-chip (SoC) using Synopsys' DesignWare® PCI Express (PCIe) 4.0 Controller and PHY, ARC® HS48 Processor, and LPDDR4 Controller IP. The silicon-proven DesignWare IP portfolio enabled Tenstorrent to quickly meet the critical real-time connectivity and specialized processing requirements of their dynamic artificial intelligence (AI) processor SoC for high-performance computing applications. Tenstorrent also leveraged Synopsys' expert technical support team to ease IP integration and significantly accelerate their design schedule.

Grayskull offers differentiated capabilities, including fine-grained conditional computation, an area- and power-efficient matrix compute engine, a custom network-on-chip (NoC), and dynamic data compression. Due to the success of the Grayskull SoC, Tenstorrent intends to engage with Synopsys on their next-generation AI processor SoCs for markets such as data centers, public/private cloud servers, on-premises servers, edge servers, and automotive.

"Tenstorrent's Grayskull AI processor SoC required a range of high-performance IP that met the aggressive compute demands of training and inferencing models," said Drago Ignjatovic, vice president of engineering at Tenstorrent. "Synopsys' established track record in the IP industry gave us confidence that we could quickly integrate the DesignWare PCIe 4.0 Controller and PHY, ARC HS48 Processor, and LPDDR4 IP into our AI processor SoC. In addition, Synopsys' technical support team along with the maturity and quality of the DesignWare IP allowed our designers to focus on their core competencies and quickly achieve first-pass silicon success."

The PCI Express 4.0 controller and PHY IP provide the required 16GT/s data rate and x16 link width while allowing more than 36dB channel loss across process, voltage, and temperature (PVT) variations for high-throughput and low-latency connectivity. A quad-core configuration of the DesignWare ARC HS48 Processor delivers high processing performance within constrained area and power budgets. To achieve power-efficiency Synopsys' LPDDR4 Controller IP, operating at 4267 Mbps, provides automated low-power state entry and exit. The Advanced Reliability, Serviceability, and Availability (RAS) features including inline error correcting code (ECC) with address protection reduce system downtime.

"Innovations in machine learning algorithms and neural network processing for high-performance computing applications are driving new technology requirements for AI SoCs," said John Koeter, senior vice president of marketing and strategy for IP at Synopsys. "Synopsys provides companies such as Tenstorrent with a comprehensive IP portfolio that addresses the performance, latency, memory and connectivity requirements of AI chips for cloud, IoT, mobile, and automotive designs, while accelerating their development time."



Suggested Items

Exciting Advances From NVIDIA’s GPU

05/03/2021 | Dan Feinberg, I-Connect007
NVIDIA’s Graphics Processing Technology Conference was, as expected, a showcase of new developments, as well as an opportunity for engineers and developers to learn, enhance skills, and discuss new ideas. Just hearing about all the amazing new developments and the accelerating expansion of AI in virtually all aspects of modern society gives those who attended a better idea of just how much AI is and will continue to change their work and our world.

Extending Field of View in Advanced Imaging Systems

08/12/2019 | DARPA
The military relies on advanced imaging systems for a number of critical capabilities and applications – from Intelligence, Surveillance, and Reconnaissance (ISR) and situational awareness to weapon sights. These powerful systems enable defense users to capture and analyze visual data, providing key insights both on and off the battlefield.

Inexpensive, Simple Fabrication Method Poised to Expand Microlens Applications

06/17/2019 | OSA
A growing number of applications, including smartphone cameras, depend on microlenses to boost performance. A newly developed technology, called laser catapulting, could make it much easier and less expensive to fabricate these miniaturized lenses with customized properties, such as shape or focusing power.

Copyright © 2021 I-Connect007. All rights reserved.