MSI Ti4200-TD8X64

By Nathan Kirsch

Features:

The very first thing that jumped out at me is the card layout. Yes, you are right if you saw that the card is not laid out like the Nvidia reference board for a Ti4200.

MSI put a nice sized aluminum bottom heatsink with a 50mm fan on this card that uses copper cooling fins to help cool the bottom sink. Many of you may be surprised by the fact that I said aluminum as the bottom heatsink material, but it is the truth! We are legit and a few other sites must have not paid attention.

As you can see MSI applied enough thermal compund on the GPU, but if you notice the memory modules are lacking enough compund. If you have a good eye, you can notice that one of the modules is not seating correctly to the heatsink. In our books MSI being good on 7 out of 8 modules is just fine.

The above pictures show the MSI Ti4200-TD8X64 with the front and back heatsink removed. If you notice the 3.6ns Hynix memory is covered for the most part. Below you can notice the Winbond hardware monitoring IC and a thermistor that is used to monitor GPU temperature.

Key Features:

  • Nvidia GeForce4 Ti 4200 8x GPU
  • 250mhz Core Speed
  • 513mhz Memory Speed
  • 6-layer PCB
  • 3.6ns Hynix DDR RAM
  • 64mb DDR Memory
  • Twin BIOS
  • Direct Hardware Monitoring
  • Accuview Antialiasing
  • Lightspeed Memory Architecture II
  • Nvidia nifinteFX II Engine
  • Dual programmable Vertex Shaders
  • Advanced programmable Pixel Shaders
  • 3D Textures Shadow Buffers
  • 4 dual-rendering pipelines
  • 8 texels per clock cycle
  • Dual cube environment mapping
  • High-Definition Video Processor (HDVP)
  • AGP 8x/4X/2X Support
  • High-quality HDTV/DVD playback
  • 32-bit color with 32-bit Z/stencil buffer Z-correct true, reflective bump mapping
  • High performance 2D rendering engine
  • Hardware accelerated real-time shadows
  • True color hardware cursor
  • Integrated hardware transform engine and lighting engine
  • Nvidia Unified Driver Architecture (UDA)
  • MicrosoftR DirectXR 8.X and OpenGLR 1.3 Optimizations and Support

Now that you have a pretty good understanding of the card, we can go ahead and see how it performs!

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