Boston Venom
Boston have evolved their award-winning CPU rendernode technologies to offer studios a brand new GPU processing platform, the Boston Venom.
Using the latest developments in hybrid GPU and CPU computing, the Venom provides studios with a complete GPU backed rendering pipeline, offering unrivalled processing density, more cores and much faster performance.
This can make a significant difference to studios running GPU technologies within a commercial production environment. By off-loading rendering to a dedicated GPU renderfarm, studio systems will not only cope better with copious amounts of data but also drastically reduce rendering times.
Similarly, if you are a studio looking at adopting 2011 suites, and cannot afford to leave high-volume rendering solely to the GPU capabilities of a PC, then the Venom’s GPU technology can help deliver a faster and more efficient rendering pipeline.
Features
- Single 2U space and power efficient appliance
- 2 x Full integrated systems within a single Hybrid Compute Rendering Appliance
- Up to 896 x nVIDIA GPU compute CUDA Cores
- 12 x Intel Xeon Westmere 5600 series processor cores with QPI up to 6.4GT/s
- Up to 192GB DDR3 high performance memory
- 1400W Gold Level high-efficiency redundant power supply
Benefits
- GPU rendernodes provide finishing studios with a complete GPU backed pipeline that can be twice as fast as regular systems, ideal for suites running any GPU backed applications.
- Venom harnesses the power of parallel processing, giving studios access to a high performance platform packed with up to 896 cores, which is 37 times more than offered by CPU processing.
- Venom will speed up the production of finals in client-attend suites, giving artists the means to visualise high-end graphics instantly, so clients can see their changes right there and then.
Related Products
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Boston Quattro
Boston in collaboration with Escape Studios are excited to unveil Quattro – an award winning platform designed for high volume rendering that cannot be beaten on price, power, energy consumption and performance.
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