TSMC Steps Through 7, 6, 5, Moore
Moore’s law countdown delivers process, package advances
By Rick Merritt, EETimes
April 24, 2019
SANTA CLARA, Calif. — TSMC added an N5P process and more details on advanced packages to its roadmap for squeezing advances from silicon at an annual event here.
At the bleeding edge, picking a path forward among expanding 7, 7+, 6, 5, and 5+ options is increasingly complex. “The good news is we continue to see scaling for the foreseeable future,” Yuh-Jier Mii, a senior vice president for technology development for TSMC, told an audience of about 2,000 attendees.
Even chief executive C.C. Wei cracked a joke over TSMC’s news last week of a 6-nm option that will start risk production a year after its previously announced 5-nm node. “I had to ask my R&D people what their thinking was — was that for fun?” he quipped in a keynote. “Next time, you won’t be surprised if I release an N5.5.
To read the full article, click here
Related Semiconductor IP
- MIPI C‑PHY/D‑PHY IP on TSMC N2P
- Ultra-Low Latency 32Gbps SerDes IP in TSMC 12nm FFC
- Ultra-Low Latency 32Gbps SerDes IP in TSMC 22nm ULP
- 32Gbps SerDes IP in TSMC 12nm FFC
- 32Gbps SerDes IP in TSMC 22nm ULP
Related News
- IDC Expects PC Shipments to Fall by -6% in 2014 and Decline Through 2018
- GUC Announces GLink-3D Die-on-Die Interface IP using TSMC N5 and N6 Process for 3DFabric Advanced Packaging Technology
- Reports Indicate TSMC to Tighten Scrutiny on Chinese AI Chip Clients; Potential Revenue Impact Between 5% to 8%
- Logic Design Solutions Announces Gen 5 NVMe Host IP on AGILEX 7 R-Tile
Latest News
- StarFive and LECARC Forge Partnership to Co-Develop RISC-V Server CPUs and Seize New Opportunities in the Agentic AI Era
- ASICLAND Selected as SK hynix’s Partner for Next-Gen eSSD Development, Establishing a ‘K-Semiconductor Win-Win’ Model
- onsemi to Acquire Synaptics to Enable the Next Generation of Intelligent Systems for Physical AI
- EdgeAI Licensed Andes Technology CPU IP to Power Next-Generation Edge AI Neuromorphic Solution
- Jim Keller: ‘AI Still Obeys the Old Laws of Compute’