Chip employs TSMC CoWoS® technology to integrate SoC and HBM2
SAN JOSE, Calif., May 01, 2018 -- eSilicon, an independent provider of FinFET-class ASICs, custom IP, and advanced 2.5D packaging solutions, today announced that the deep learning ASIC that taped out last September has moved to production qualification.
The ASIC includes custom pseudo two-port memories designed by eSilicon, TSMC’s Chip on Wafer on Substrate (CoWoS) technology, 28G SerDes, and four second-generation high-bandwidth memory stacks (HBM2). eSilicon’s end-to-end 2.5D/HBM2 solution includes 2.5D ecosystem management, silicon-proven HBM2 PHY, ASIC physical design, 2.5D package design, manufacturing, assembly and test.
The CoWoS interposer is over 1,000 square mm and contains over 170,000 microbumps. The design has successfully passed test bring-up and is in final qualification. Four-high and eight-high HBM stack versions are in qualification. This design is in the industry vanguard of ASICs targeting deep learning applications.
The 2.5D/HBM2 single package implementation gives the ASIC many advantages:
- Orders of magnitude higher total bandwidth in a much smaller board footprint
- Highly parallel connections to memory stacks inside the package for fast access
- Significant reduction in power consumption
“This design greatly expands the possibilities for deep learning, and we are delighted to enter final qualification,” said Ajay Lalwani, vice president, global manufacturing operations at eSilicon. “TSMC’s 2.5D CoWoS packaging technology has been a key differentiator for this advanced design.”
About eSilicon
eSilicon is an independent provider of complex FinFET-class ASICs, custom IP and advanced 2.5D packaging solutions. Our ASIC+IP synergies include complete 2.5D/HBM2 and TCAM platforms for FinFET technology at 14/16/7nm as well as SerDes, specialized memory compilers and I/O libraries. Supported by patented knowledge base and optimization technology, eSilicon delivers a transparent, collaborative, flexible customer experience to serve the high-bandwidth networking, high-performance computing, artificial intelligence (AI) and 5G infrastructure markets. www.esilicon.com
Collaborate. Differentiate. Win.™
eSilicon is a registered trademark, and the eSilicon logo and “Collaborate. Differentiate. Win.” are trademarks, of eSilicon Corporation. Other trademarks are the property of their respective owners.
| Contacts: | |
| Sally Slemons | Susan Cain |
| eSilicon Corporation | Cain Communications |
| 408-635-6409 | 408-393-4794 |
| [email protected] | [email protected] |


Supermicro Forecasts Strong Q4 Revenue Growth as AI Server Demand Surges
Arm Stock Drops Despite Strong AI Chip Demand and Earnings Beat
Strategy Reports Q1 Loss as Bitcoin Holdings Trigger $14.46 Billion Unrealized Hit
China Banks Halt New Loans to Sanctioned Refineries Amid U.S.-Iran Oil Crackdown
Philips Reaffirms 2026 Outlook After Strong Q1 Sales and Margin Beat
Novo Nordisk Raises 2026 Outlook on Strong Wegovy Demand
Agentic AI Boom to Drive Massive Growth in CPU Market, UBS Says
BMW Keeps 2026 Outlook Despite 25% Profit Drop Amid Tariff Pressure
Shell Q1 Profit Surges to Two-Year High as Dividend Rises Despite War-Driven Debt Pressure
Volvo Car Sales Drop 10% in Early 2026 Despite Growth in Electric Vehicles
Infineon Raises 2026 Outlook as AI Data Center Chip Demand Surges
Aker BP Q1 Profit Jumps on Higher Oil Prices and Asset Reversal
Apple Explores Intel and Samsung Partnerships to Diversify Chip Supply Chain
Maersk Q1 Earnings Beat Expectations as Iran Conflict Clouds Shipping Outlook
Palantir Reports Record Growth, Raises 2026 Revenue Outlook Above Expectations
Hantavirus Cruise Ship Outbreak Triggers Global Health Alert
Hua Hong Semiconductor Stock Surges to Multi-Year High Amid AI Boom 



