content.raw: Is a full-featured Mac sufficient for AI and ML development compared to NVIDIA GPU systems?
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content.value: Is a full-featured Mac sufficient for AI and ML development compared to NVIDIA GPU systems?
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content.raw: Hello everyone,
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content.value: Hello everyone,
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content.raw: We are about to make the decision to purchase a powerful Mac with maximum features for our university. This Mac will primarily serve as a development computer in the field of artificial intelligence (AI) and machine learning (ML) and will be used by a small group of users in the local network. After development, the systems will be transferred to servers that have to withstand higher loads and visitor numbers.
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content.value: We are about to make the decision to purchase a powerful Mac with maximum features for our university. This Mac will primarily serve as a development computer in the field of artificial intelligence (AI) and machine learning (ML) and will be used by a small group of users in the local network. After development, the systems will be transferred to servers that have to withstand higher loads and visitor numbers.
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content.raw: Planned system:
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content.value: Planned system:
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content.raw: Apple Mac Studio 2023 with M2 Ultra processor
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content.value: Apple Mac Studio 2023 with M2 Ultra processor
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content.raw: 24-core CPU
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content.value: 24-core CPU
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content.raw: 76-core GPU
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content.value: 76-core GPU
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content.raw: 32-core NPU (neural engine) for machine learning
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content.value: 32-core NPU (neural engine) for machine learning
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content.raw: 128GB RAM
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content.value: 128GB RAM
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content.raw: 1TB HDD
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content.value: 1TB HDD
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content.raw: Our question to you:
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content.value: Our question to you:
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content.raw: Is a fully equipped Mac with the latest SoCs chips and integrated neural engines sufficient for the development of AI and ML systems?
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content.value: Is a fully equipped Mac with the latest SoCs chips and integrated neural engines sufficient for the development of AI and ML systems?
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content.raw: Or should we rather rely on proven Windows/Linux systems with powerful NVIDIA graphics cards?
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content.value: Or should we rather rely on proven Windows/Linux systems with powerful NVIDIA graphics cards?
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content.raw: We already have several NVIDIA graphics cards available at the university:
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content.value: We already have several NVIDIA graphics cards available at the university:
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content.raw: NVIDIA Tesla T4
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content.value: NVIDIA Tesla T4
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content.raw: NVIDIA 2080Ti
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content.value: NVIDIA 2080Ti
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content.raw: NVIDIA 3080Ti
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content.value: NVIDIA 3080Ti
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content.raw: We are particularly interested in your experiences and assessments of how the performance of the Mac compares to the GPU systems mentioned. 
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content.value: We are particularly interested in your experiences and assessments of how the performance of the Mac compares to the GPU systems mentioned. 
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content.raw: Are there significant differences, especially in the development and training of models? 
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content.value: Are there significant differences, especially in the development and training of models? 
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content.raw: What difference would you consider to be significant? 
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content.value: What difference would you consider to be significant? 
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content.raw: For us, a difference of 100% or more would be considered significant.
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content.value: For us, a difference of 100% or more would be considered significant.
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content.raw: In other words, computer A (Mac) takes twice as long to calculate as computer B (NVIDIA system).
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content.value: In other words, computer A (Mac) takes twice as long to calculate as computer B (NVIDIA system).
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content.raw: Many thanks in advance for your answers and experience!
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content.value: Many thanks in advance for your answers and experience!
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content.raw: Best regards,
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content.value: Best regards,
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content.raw:  Oliver
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content.value:  Oliver
rawContent: Is a full-featured Mac sufficient for AI and ML development compared to NVIDIA GPU systems?
  
  Hello everyone,
  We are about to make the decision to purchase a powerful Mac with maximum features for our university. This Mac will primarily serve as a development computer in the field of artificial intelligence (AI) and machine learning (ML) and will be used by a small group of users in the local network. After development, the systems will be transferred to servers that have to withstand higher loads and visitor numbers.
  
  Planned system:
  Apple Mac Studio 2023 with M2 Ultra processor
  24-core CPU
  76-core GPU
  32-core NPU (neural engine) for machine learning
  128GB RAM
  1TB HDD
  
  Our question to you:
  Is a fully equipped Mac with the latest SoCs chips and integrated neural engines sufficient for the development of AI and ML systems?
  Or should we rather rely on proven Windows/Linux systems with powerful NVIDIA graphics cards?
  
  We already have several NVIDIA graphics cards available at the university:
  NVIDIA Tesla T4
  NVIDIA 2080Ti
  NVIDIA 3080Ti
  
  We are particularly interested in your experiences and assessments of how the performance of the Mac compares to the GPU systems mentioned. 
  
  Are there significant differences, especially in the development and training of models? 
  
  What difference would you consider to be significant? 
  
  For us, a difference of 100% or more would be considered significant.
  In other words, computer A (Mac) takes twice as long to calculate as computer B (NVIDIA system).
  
  Many thanks in advance for your answers and experience!
  Best regards,
   Oliver
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