SKU: 88259645240

Ortofon 2M Red Moving Magnet Cartridge

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Description

Ortofon 2M Red Moving Magnet CartridgeOrtofon 2M Red: Immerse Yourself in the Music Experience the Ortofon 2M Red, a moving magnet (MM) phono cartridge that brings your vinyl to life with outstanding musicality. As the entry level model in the 2M series, the 2M Red cartridge provides an open, dynamic sound with a hint of warmth, turning each listening session into a musical journey. The Ortofon 2M Red features Ortofon's split pole pin technology, delivering precise sound that captures

Ortofon 2M Red: Immerse Yourself in the Music

Experience the Ortofon 2M Red, a moving magnet (MM) phono cartridge that brings your vinyl to life with outstanding musicality. As the entry-level model in the 2M series, the 2M Red cartridge provides an open, dynamic sound with a hint of warmth, turning each listening session into a musical journey.

The Ortofon 2M Red features Ortofon's split pole pin technology, delivering precise sound that captures every detail of your favorite tracks. Its elliptical stylus, a well-known Ortofon Red type of needle, and precise construction offer high sonic accuracy for a forgiving and immersive audio experience.

The Ortofon 2M Red tracking force is carefully balanced to treat your records gently while providing exceptional detail. With a recommended tracking weight of 1.8 g (18 mN), the Ortofon 2M Red cartridge ensures your vinyl sounds its best.

Key Features

  • Elliptical stylus for detailed sound reproduction
  • Engineered for an optimal output of 5.5 mV
  • Split pole pins for precise sound reproduction
  • Easy mounting on a wide range of turntables
  • Designed and crafted in Denmark for high-quality performance

Technical Specifications

Specification Details
Channel Balance at 1 kHz 1.5 dB
Output Voltage at 1 kHz, 5cm/sec 5.5 mV
Channel Separation at 1 kHz 22 dB
Channel Separation at 15 kHz 15 dB
Frequency Response 20 Hz - 20 kHz, +3 / -1 dB
Tracking Ability at 315Hz at Recommended Tracking Force 70 µm
Compliance, Dynamic, Lateral 20 µm/mN
Stylus Type Elliptical
Stylus Tip Radius r/R 8/18 µm
Tracking Force Range 1.6-2.0 g (16-20 mN)
Recommended Tracking Force 1.8 g (18 mN)
Tracking Angle 20°
Internal Impedance, DC Resistance 1.3 kOhm
Cartridge Color Black/Red
Cartridge Weight 7.2 g
Premounted Cartridge Weight 16.7 g
Recommended Load Resistance 47 kOhm
Internal Inductance 700 mH
Recommended Load Capacitance 150-300 pF

 

Cartridge Installation

  1. Preparing the Cartridge: Before installation, ensure the stylus cover is securely in place. Handle the cartridge carefully as it is delicate, and damage can often be costly.

  2. Mounting the Cartridge: Attach the cartridge to the tonearm using the supplied hardware. Don't overtighten; the cartridge should be snug but adjustable for alignment.

  3. Connecting Lead-Out Wires: Attach the color-coded lead-out wires (red, blue, green, and white) to their corresponding pins on the cartridge. Use pliers gently to secure the connectors if they are loose.

  4. Setting Tracking Weight and Bias: Initially, set the Ortofon 2M Red tracking weight for balance. Add an extra 1.5-2.0g to ensure the cartridge sits correctly in the record groove. Set arm bias to zero.

  5. Aligning the Cartridge: Use a tracking alignment gauge to adjust the cartridge along the tonearm path until it's properly aligned, reducing distortion and wear.

  6. Final Adjustments: Once aligned, tighten the mounting bolts without overdoing it. Adjust the tracking weight within the manufacturer’s recommended range using scales to fine-tune sound quality.

  7. Tonearm Height Adjustment: If possible, set the tonearm height parallel to the record surface during playback, adjusting for the cartridge design to optimize sound quality.

Moving Coil vs Moving Magnet Cartridges

Moving Magnet (MM) Cartridges are known for their high output and user-replaceable styluses, making them affordable and easy to maintain.

Moving Coil (MC) Cartridges offer superior sound reproduction with enhanced clarity and detail. MC cartridge styli are usually not user-replaceable, leading to higher maintenance or replacement costs if damaged.

Both types have advantages, and choosing between a moving coil and a moving magnet cartridge often depends on personal preference and your audio setup. For those seeking more insights, check out an Ortofon 2M Red review to see how this cartridge compares to others in the market.

Other Turntable Offerings from Audio Exchange

Explore our diverse selection of turntable accessories and cartridges to enhance your vinyl experience:

  • Ortofon 2M Black, Mono, and Blue Cartridges: Check out our other variants of this Ortofon cartridge. Not sure if you want to upgrade to the Blue? Check out our comparison review!

  • Audio-Technica Turntable Cartridges: Known for their excellent frequency response and reliable performance across a wide price range.

  • Replacement Stylus and Pre-Mounted Headshells: We offer a variety of replacement styluses and pre-mounted headshells to suit your needs.

  • Phono Preamps: Optimize your turntable's performance with our high-quality phono preamps, designed to match internal impedance and reduce surface noise.

  • Record Players: From entry-level models to high-end units featuring acrylic platters, our record players are designed to deliver rich bass and clear audio fidelity.

  • Speakers: We have a wide selection of speakers to choose from for optimal sound quality.

Each of these products is designed to meet the needs of both entry-level users and audiophile vinyl enthusiasts, ensuring a superior listening experience with minimal distortion.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 88259645240

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Walter Echo-Hawk, author of THE SEA OF GRASS.
Massapequa, US
★★★★★ 5
Native American history at its best!
Format: Hardcover
Kent Blansett's engrossing story about the life & times of the famed Mohawk activist Richard Oakes is Native American history at its best. I appreciated the well-written context provided about the birth, growth and impact of the Red Power Movement and the pivotal role that social justice activism played in the rise of modern Indian nations in the United States today. This scholarly work helps us understand modern Native America and is a "must-read" for every Native American Studies student and scholar, as well as readers interested in important American social justice movements.
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Reviewed in the United States on April 1, 2019
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Par
Massapequa, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
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Reviewed in the United States on December 20, 2024
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Richard Hackathorn
Louisville, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
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Reviewed in the United States on February 26, 2022
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Amazon Customer
Charlottesville, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025
K
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Kindle Customer
Draper, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026

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