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NVIDIA Unveils Next-Gen Turing Quadro RTX Professional Graphics Cards (hothardware.com)
MojoKid shares a report from Hot Hardware: We been hearing a lot about NVIDA's next-generation GPU architecture since late last year, and today NVIDIA is announcing the first products based on Turing. NVIDIA is targeting the professional graphics market first with its new Quadro RTX 8000, RTX 6000 and RTX 5000 GPUs. Turing GPU architecture replaces Pascal, which has served both the consumer and professional markets since 2016. But as its 8th generation GPU architecture, NVIDIA is ushering in a number of advances with Turing and it's billed as the "world's first ray-tracing GPU." When it comes to content creators, NVIDIA claims that with the power of Turing, "applications can simulate the physical world at 6x the speed of the previous Pascal generation."
Getting down to brass tacks, the entry-level Quadro RTX 5000 has 3,072 CUDA cores, 384 Tensor cores, and will come with 16GB of 14Gbps GDDR6 memory. Its ray-tracing performance is dialed in at 6 GigaRays/sec, according to NVIDIA. Both the Quadro RTX 6000 and RTX 8000 have 4,608 CUDA cores and 576 Tensor cores; the only difference between the two is that the former has 24GB of GDDR6, while the latter doubles that to 48GB. Ray-tracing performance for both of these GPUs tops out at 10 GigaRays/sec. NVIDIA is also claiming up to 16TFLOPs compute performance for the Quadro RTX 8000. NVIDIA's new Quadro GPUs will also be among the first to support both USB-C and VirtualLink for next-generation virtual reality and mixed reality headsets. Other VirtualLink backers include AMD, Oculus, Microsoft and Valve. The Quadro RTX 5000, RTX 6000 and RTX 8000 will all be available during the fourth quarter of 2018 priced at $2,300, $6,300 and $10,000 respectively.
Getting down to brass tacks, the entry-level Quadro RTX 5000 has 3,072 CUDA cores, 384 Tensor cores, and will come with 16GB of 14Gbps GDDR6 memory. Its ray-tracing performance is dialed in at 6 GigaRays/sec, according to NVIDIA. Both the Quadro RTX 6000 and RTX 8000 have 4,608 CUDA cores and 576 Tensor cores; the only difference between the two is that the former has 24GB of GDDR6, while the latter doubles that to 48GB. Ray-tracing performance for both of these GPUs tops out at 10 GigaRays/sec. NVIDIA is also claiming up to 16TFLOPs compute performance for the Quadro RTX 8000. NVIDIA's new Quadro GPUs will also be among the first to support both USB-C and VirtualLink for next-generation virtual reality and mixed reality headsets. Other VirtualLink backers include AMD, Oculus, Microsoft and Valve. The Quadro RTX 5000, RTX 6000 and RTX 8000 will all be available during the fourth quarter of 2018 priced at $2,300, $6,300 and $10,000 respectively.
big marix math is something CUDA does well on account of being able to parallelize large amounts of simple operations which is ultimately hosw matrices work , just stepwise working through the steps.
https://www.quantstart.com/art...
As for signal processing in general, mostly is a pretty great use, however if its real time audio, there has been traditionally issues with latency shifting blocks in and out of GPU ram. Video for whatever reason is a bit better because the discrete timing between frames are large enough that latency isn't a problem, but audio is continuous so a degree of extra buffering needs to happen. But if I was calculating messy convolutions, or something that might make the CPU sweat, the GPU would still be my first port of call
Excuse the Unicode crap in my posts. That's an apostrophe, and slashdot is busted.