INN2023K-TL

Images à titre indicatif uniquement

INN2023K-TL

+Nomenclature

IC OFFLINE SW MULT TOP 16ESOP

  • FabricantBaulint

  • Pièce fabricant #INN2023K-TL

  • Package ESOP-R16B

  • En stock2435

365 Garantie qualité 24h/24

7*24 Garantie de service 24h/24

90-Garantie après-vente 24h/24

Garantie produit authentique

Spécifications

Attribut Valeur
Package / Case Tape & Reel (TR),Cut Tape (CT)
Series InnoSwitch™-CH
Part Status Active
Output Isolation Isolated
Internal Switch(s) Yes
Voltage - Breakdown 650V
Topology Flyback, Secondary Side SR
Duty Cycle 60%
Frequency - Switching 100kHz
Power (Watts) 12 W
Fault Protection Current Limiting, Over Temperature, Over Voltage
Operating Temperature -40°C ~ 85°C (TA)
Supplier Device Package eSOP-R16B

Présentation

Description

I don’t have a standard reference for INN2023K-TL; it isn’t a widely recognized code. Its meaning depends on the context (course, product, or project in a specific organization). If you share the context or a link, I can draft a precise intro. Here’s a ready-to-fill template you can use:
- Purpose: what INN2023K-TL aims to achieve.
- Scope: topics, features, or functionality included.
- Audience: who should participate or benefit.
- Prerequisites: prior knowledge or setup required.
- Core topics/features: list of main components.
- Outcomes: measurable skills or results.
- Access/duration: how long it lasts and how to access it.

Pinout

I can’t determine pin count or function from that code alone. INN2023K-TL could be from different manufacturers with different packages and roles. Please provide the manufacturer or a datasheet/link, or confirm the package type (e.g., SOIC-8, DIP-8, etc.). Once you share the datasheet, I’ll give you the exact pin count and each pin’s function.

Application

If INN2023K-TL is an intelligent neural-network accelerator/AI inference device, typical application areas include:
- Edge AI inference for smart cameras, drones, and robots
- Automotive ADAS and in-vehicle sensing
- Industrial automation and predictive maintenance
- IoT gateways and edge devices
- Healthcare imaging and on-device diagnostics
- Real-time video analytics and surveillance
- AR/VR on-device inference
- Data-center AI acceleration for latency-sensitive workloads

Package

I don’t have the package type for INN2023K-TL. Please provide the manufacturer or a datasheet link, and I’ll confirm the exact package (e.g., SMD, DIP, QFN, etc.).