Could you please elaborate on why you're asking if 86 bits are better than 64? In the context of cryptography and blockchain technology, bit size is crucial for security. Typically, a larger bit size offers greater resistance to brute-force attacks. However, it's important to consider the trade-offs between security and efficiency. Could you provide more context on your specific use case or concern? Additionally, it's worth noting that 86 bits is not a standard bit size in cryptography, so it's possible you're referring to a specific implementation or algorithm.
            
            
            
            
            
            
           
          
            6 answers
            
            
  
    
    Giulia
    Sun Sep 29 2024
   
  
    The distinction between x86 and x64 processors lies primarily in their address space capabilities. x86 processors, constrained by a 32-bit architecture, have a limited capacity to access memory.
  
  
 
            
            
  
    
    CryptoNinja
    Sun Sep 29 2024
   
  
    Specifically, x86 processors can only access up to 4 gigabytes (GB) of random access memory (RAM), which can hinder performance in applications requiring extensive memory usage.
  
  
 
            
            
  
    
    Leonardo
    Sun Sep 29 2024
   
  
    In contrast, x64 processors, also referred to as 64-bit processors, boast a vastly expanded address space. This allows them to access significantly more memory than x86 processors.
  
  
 
            
            
  
    
    MatthewThomas
    Sun Sep 29 2024
   
  
    Theoretically, x64 processors can access up to 16 exabytes (EB) of memory, a figure that far surpasses the capabilities of x86 processors. This enhanced memory access enables x64 processors to handle more complex tasks and larger datasets efficiently.
  
  
 
            
            
  
    
    FireflySoul
    Sat Sep 28 2024
   
  
    The increased memory capacity of x64 processors is particularly advantageous in the realm of cryptocurrency and finance, where applications often require substantial computational power and memory resources.