Marvell Technology, Inc. (MRVL)
After hours:
| Previous close | 63.99 |
| Open | 65.91 |
| Bid | 65.68 x 600 |
| Ask | 65.79 x 600 |
| Day's range | 64.67 - 66.29 |
| 52-week range | 46.07 - 85.76 |
| Volume | |
| Avg. volume | 10,841,170 |
| Market cap | 56.887B |
| Beta (5Y monthly) | 1.46 |
| PE ratio (TTM) | N/A |
| EPS (TTM) | N/A |
| Earnings date | N/A |
| Forward dividend & yield | 0.24 (0.37%) |
| Ex-dividend date | 12 July 2024 |
| 1y target est | N/A |
- PR Newswire
Marvell Announces Immediate Availability of Open Ecosystem Software for Teralynx 10 51.2T Switch
Marvell Technology, Inc. (NASDAQ: MRVL), a leader in data infrastructure semiconductor solutions, today announced the immediate availability of the Marvell® Teralynx® 10 51.2 Tbps Ethernet switch device in the Linux Foundation's SONiC (Software for Open Networking in the Cloud) network operating system. With this public release, leading networking vendors can now use and deploy Teralynx 10-based systems in SONiC environments.
- PR Newswire
Marvell Teralynx 10 51.2T Ethernet Switch Enters Volume Production for Global AI Cloud Deployments
Marvell Technology, Inc. (NASDAQ: MRVL), a leader in data infrastructure semiconductor solutions, today announced that the Marvell® Teralynx® 10 Ethernet switch device is in volume production with customer deployments underway. The Teralynx 10 switch is a low power, programmable 51.2 Tbps Ethernet device with the industry's lowest latency1, delivering leading performance for training, inference, general-purpose compute and other workloads to scale accelerated infrastructure in cloud data centers
- PR Newswire
Marvell Extends Connectivity Leadership With Industry's First 1.6T PAM4 DSP for Active Electrical Cables
Marvell Technology, Inc. (NASDAQ: MRVL), a leader in data infrastructure semiconductor solutions, today introduced the Marvell® Alaska® A 1.6T PAM4 DSP for active electrical cables (AECs), the industry's first 1.6 Tbps AEC DSP to address emerging 200G/lane-based accelerated infrastructure architectures. Artificial intelligence (AI) and machine learning (ML) applications are driving greater connectivity bandwidth requirements between AI accelerators, server to top-of-rack links and switch-to-swit
