Nvidia Mum on 7nm GPU
Annual event focuses on Turing systems, software
March 19, 2019
SAN JOSE, Calif. – Nvidia’s annual graphics event attracted some 8,000 attendees here, but one expected guest couldn’t make it — a 7nm GPU.
A nearly three-hour keynote featured new systems and software for the company’s latest processors, announced last August. Ironically, the most interesting news nuggets were Nvidia’s cheapest board to date and a research project on optical interconnects.
“The length of the event was inversely proportional to the content,” quipped one analyst.
The unspoken message for a pack of rivals aiming to build deep-learning accelerators was clear. Nvidia doesn’t need to pre-announce a new and faster chip because it owns that software stack and channel today.
To read the full article, click here
Related Semiconductor IP
- E-Series GPU IP
- Arm's most performance and efficient GPU till date, offering unparalled mobile gaming and ML performance
- Highest performance automotive GPU IP, with revolutionary functional safety technology
- High performance GPU for cloud gaming with DirectX support
- Arm’s latest flagship GPU is based on the new 5th Gen GPU architecture, bringing the next generation of visual computing to mobile
Related News
- Overall GPU shipments dropped 11% from last quarter, AMD slipped 26%, Nvidia fell 16%, and Intel saw a 7.4% slip
- Nvidia, and AMD Increase GPU Attach Rates While Total GPU Shipments Remain Flat Quarter to Quarter
- Overall GPU shipments increased 9.3% from last quarter, AMD increased 8% Nvidia increased 30%
- Expanding Universe for HPC, NVIDIA CEO Brings GPU Acceleration to Arm
Latest News
- Global Semiconductor Sales Increase 25% from Q4 2025 to Q1 2026
- Tord Larsson-Steen appointed new CEO of Shortlink
- GUC Collaborate with Wiwynn to Advance Silicon-to-System Infrastructure for Next-Generation Hyperscale AI
- Two Weebit Nano product customers tape-out; one already demonstrating a functional prototype
- JEDEC Advances DDR5 MRDIMM Ecosystem with New Memory Interface Logic and Expanded MRDIMM Roadmap