SKU: 43373006017

RAV.SG.SRC.IO (Prodigy\Maven)

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Description

RAV.SG.SRC.IO (Prodigy\Maven)RAV. SG. SRC. IO is a dual audio network module for the PRODIGY Series and MAVEN. A to interface with 64 channels each of RAVENNA and SoundGrid streams. One module, two audio engines Hosting two audio network boards the module offers 2 x 64 of two different audio protocols RAVENNA and SoundGrid. This allows to interface with two audio protocols in a single A Slot of MAVEN. A or PRODIGY. MC. With the two A Slots of a PRODIGY. MP the coverage can be

RAV.SG.SRC.IO is a dual audio network module for the PRODIGY Series and MAVEN.A to interface with 64 channels each of RAVENNA and SoundGrid streams.

One module, two audio engines
Hosting two audio network boards the module offers 2 x 64 of two different audio protocols - RAVENNA and SoundGrid. This allows to interface with two audio protocols in a single A Slot of MAVEN.A or PRODIGY.MC. With the two A Slots of a PRODIGY.MP the coverage can be extended by a third or even fourth audio protocol.

Sample Rate Conversion
Individual HD SRC for bi-directional sample rate conversion is on board as a standard. The PRODIGY and MAVEN Series also offers low latency sample rate conversion (FastSRC) for input and output. The two audio network boards can be operated at different sample rates.

Dual network modules ensure a seamless connection across clock boundaries and different audio protocols on a single module.

Stream Redundancy
There are 2 x 2 independent network interfaces to connect each protocol via a second stream (Port 1 / Port 2).



The amount of audio channels per protocol is reduced at higher sample rates - 32 channels @ 2 FS or 16 channels @ 4 FS (SoundGrid supports 1 FS and 2 FS only).

RAVENNA is an open audio networking technology developed initially by ALC NetworX.
DirectOut's own RAVENNA implementation relies on more than ten years of development.

As a successful participant of the JT-NM Tested program RAV.IO is listed in the JT-NM Tested Catalog as a module aligning with the SMPTE 2110 standards.

SoundGrid is an audio networking technology from Waves that is based on ethernet layer 2.

Key features RAVENNA
32 streams
64 channels (1 FS), 32 channels (2 FS), 16 channels (4 FS)
500 ms buffer (WAN capable)
Sample rate 44.1 kHz up to 192 kHz
Sample rate conversion (HD SRC on board, FastSRC™ in PRODIGY / MAVEN Series)
Stream redundancy ST 2022-7
Switch configurable (NIC1 & NIC2)
Compliant with AES67, SMPTE ST 2110-30 / -31
Ethernet layer 3 ('Audio over IP')
2 x RJ45 gigabit ethernet
PTP Hybrid Mode
Remote control via browser and globcon
NMOS IS-04 (stream discovery)
NMOS IS-05 (connection management)


Key features SoundGrid

64 channels (1 FS), 32 channels (2 FS)
Sample rate 44.1 kHz up to 96 kHz
Sample rate conversion (HD SRC on board, FastSRC™ in PRODIGY / MAVEN Series)
Ethernet layer 2
2 x RJ45 gigabit ethernet
Remote control via SoundGrid Studio, browser and globcon
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SKU: 43373006017

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Tans
Lake Worth, US
★★★★★ 4
Really good content on Rag and Agents
Format: Paperback
The book is a plethora of AI implementations put together this covers everything required for an Ai engineer, llm developer and enterprise user to understand the terms are simple and implementation is even better, you should definitely check it out
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Reviewed in the United States on July 29, 2025
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Good coverage of the subject.
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Good.
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Ting
Charlottesville, US
★★★★★ 1
Not worth your time!
Format: Paperback
The abstration level of the knowledge presented in this book is mixed and poorly organized, for example, it could leap from high level suddenly into the details of import packages and codes. This book tries to cover a loooot but achieves so little in any specific topic. Sometimes the high level logic is not even consistent, sometimes the low level details contain errors. There are nonsensical sentences, poorly formatted equations, figures should be printed in color to understand but are in black and white. While I may doubt myself of not being able to delve in at the beginning, gradually it is pretty clear that it is the poor quality of this book that drags me and makes me want to finish reading as soon as possible. I cannot believe this quality of writing was generated with the help of AI. This is an evidence that human can write much poorly than AI. All the figures from the cited papers are of poor resolution and quality. I have submitted more than 15 erratas to the publisher. These just cover the obvious mistakes or errors, and cannot cover the poor organization and logic of the book. It's such a waste of my money and time!
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Reviewed in the United States on May 28, 2026
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Sai
Omaha, US
★★★★★ 2
Pages were torn
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Reviewed in the United States on January 20, 2026
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Kirk D. Borne
Dallas, US
★★★★★ 5
Conquer AI Agent complexity with this comprehensive guidebook
Format: Kindle
This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more! Disclosure: the publisher provided me with a free review copy of the book.
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Reviewed in the United States on October 24, 2025

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