Who’s got the time? I think you’re right. Did a job or two (stills) and that was about it. It scratches that unbiased Maxwell itch without the interminable Maxwell render times. I’ve just started out with it but I’m liking it a lot. OTOH, there are some significant limitations (limited multipass, motion blur, sketch, hair, shaders, etc.).
#OCTANE RENDER TITAN PLUS#
Octane is very inexpensive and if you do build up your gpu capability it has the advantage of bypassing NET which is often a PITA, plus you have the near real-time feedback. For the same cost you could have 8 Titans or 12-14 GTX 780s, which are nearly as fast as Titans in Octane. 2 x USB 3.Well, that cost of the systems, plus operating systems, will set you back around another $3,000 and you’ll have some slowish processors. Warranty: Lifetime Labor & Technical Support 3 Years Parts Replacement Wireless: TP-LINK TL-WN823N Wireless N300 Mini USB Adapter, 300 Mbps, w/ WPS Button - 300Mbps Video: NVIDIA Quadro T1000 4GB GDDR6 Workstation Video CardĬase: Titan WS Chariot - Anodize Silver Aluminum & Stell E-ATX Mid Workstation Tower - Designed in the USAĬase Fans: 5x Noctua NF-P12 high-performance silent 120mm fans with Anti-Vibration fan mountsĭVD Burner: LG Suction Type Slim internal CD/DVD Burner
#OCTANE RENDER TITAN FULL#
Power Supply: 850W Full Modular Power Supply, 80 PLUS Gold Certified Memory: 48GB (6 x 8GB) 288-Pin DDR4 SDRAM 2933 (PC4-23400) ECC Server MemoryĪudio: Onboard High Definition Sound Card Storage Hard Drive: 4TB - Seagate 7200 RPM 128MB Cache SATA 6.0Gb/s 3.5" Internal Hard Drive OS Hard Drive: 500GB M.2 NVMe PCIe 3.0 x4 Solid State Drive - read/write 2100/1300 MBps
#OCTANE RENDER TITAN PRO#
Processor: Intel Xeon W-3235 Cascade Lake 3.3GHz (4.5GHz TB) 180W 19.25MB 元 (12 Cores / 24 Threads)ĬPU Cooling: EK-Annihilator Pro Custom Built with Dual 120mm Fans / Radiator and Premium Red Coolant Motherboard: ASUS Pro WS C621-64L SAGE/10G Workstation Motherboard w/ Dual 10G LAN & Support 4x GPU at 16-lanes bandwidth It’s the perfect base system for users who need CPU threads now, but may want to expand into more GPU power at a later date! With Caffe, Kaldi, MXNet, ONNX, TensorFlow, OpenVINO and PyTorch all benefitting from the specialized instruction sets.
CPU-based rendering applications such as Arnold Renderer, KeyShot, Pixar RenderMan and Maxwell Render fly on the Xeon W thanks to the abundance of processor threads on offer.Īt the same time, applications such as ANSYS Solvers, SolidWorks Simulation and Creo Simulate tap into those massive Turbo Boost frequencies, even when not using all cores, all the time.ĭon’t forget the Deep Learning acceleration either. The Titan W64 is ideal for applications that need high-core counts AND applications that need high core speeds. A high-speed solid state drive ensures both RAM and cores are fed with ample data and it’s all held together by a selection of 80 PLUS Gold certified CPUs, depending on your chosen configuration. We’ve used silent yet powerful cooling, both for the custom Titan WS Chariot case and for the CPU itself. The motherboard we’ve chosen to pair with this CPU allows for as much as 768GB of RAM, with the base configuration sitting at 48GB. It’s also important to know that Intel’s Mesh Architecture means that every processor core has equal access to RAM and all PCIe lanes, which means any performance penalties for such massively parallel hardware configurations are kept to an absolute minimum. Which means you can go ahead and stick four of the most bandwidth-hungry cards into the W64 with no fear of diminishing returns for GPU workloads. That means four x16 slots for four full-speed, high-end GPUs. They added more pipes! Specifically, there are now 64 dedicated PCIe lanes. However Intel didn’t just make calculations flow through the pipes more quickly with the Xeon W. Coupled with support for 2933Mhz DDR4, there’s a lot to like when it comes to raw speed! Deep learning applications benefits from new dedicated instruction sets that accelerate calculations that are commonly used in modern artificial intelligence applications.
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