Author:
Manufacturer: NVIDIA

Overview

Since the launch of NVIDIA's Pascal architecture with the GTX 1070 and 1080 last May, we've taken a look at a lot of Pascal-based products, including the recent launch of the GTX 1080 Ti. By now, it is clear that Pascal has proven itself in a gaming context.

One frequent request we get about GPU coverage is to look at professional uses cases for these sort of devices. While gaming is still far and away the most common use for GPUs, things like high-quality rendering in industries like architecture, and new industries like deep learning can see vast benefits from acceleration by GPUs.

Today, we are taking a look at some of the latest NVIDIA Quadro GPUs on the market, the Quadro P2000, P4000, and P5000. 

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Diving deep into the technical specs of these Pascal-based Quadro products and the AMD competitor we will be testing,  we find a wide range of compute capability, power consumption, and price.

  Quadro P2000 Quadro P4000 Quadro P5000 Radeon Pro Duo
Process 16nm 16nm 16nm 28nm
Code Name GP106 GP104 GP104 Fiji XT x 2
Shaders 1024 1792 2560 8192
Rated Clock Speed 1470 MHz (Boost) 1480 MHz (Boost) 1730 MHz (Boost) up to 1000 MHz
Memory Width 160-bit 256-bit 256-bit 4096-bit (HBM) x 2
Compute Perf (FP32) 3.0 TFLOPS 5.3 TFLOPS 8.9 TFLOPS 16.38 TFLOPS
Compute Perf (FP64) 1/32 FP32 1/32 FP32 1/32 FP 32 1/16 FP32
Frame Buffer 5GB 8GB 16GB 8GB (4GB x 2)
TDP 75W 105W 180W 350W
Street Price $599 $900 $2000 $800

The astute readers will notice similarities to the NVIDIA GeForce line of products as they take a look at these specifications.

Continue to read our roundup of 3 Pascal Quadro Graphics Cards

Author:
Manufacturer: NVIDIA

NVIDIA P100 comes to Quadro

At the start of the SOLIDWORKS World conference this week, NVIDIA took the cover off of a handful of new Quadro cards targeting professional graphics workloads. Though the bulk of NVIDIA’s discussion covered lower cost options like the Quadro P4000, P2000, and below, the most interesting product sits at the high end, the Quadro GP100.

As you might guess from the name alone, the Quadro GP100 is based on the GP100 GPU, the same silicon used on the Tesla P100 announced back in April of 2016. At the time, the GP100 GPU was specifically billed as an HPC accelerator for servers. It had a unique form factor with a passive cooler that required additional chassis fans. Just a couple of months later, a PCIe version of the GP100 was released under the Tesla GP100 brand with the same specifications.

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Today that GPU hardware gets a third iteration as the Quadro GP100. Let’s take a look at the Quadro GP100 specifications and how it compares to some recent Quadro offerings.

  Quadro GP100 Quadro P6000 Quadro M6000 Full GP100
GPU GP100 GP102 GM200 GP100 (Pascal)
SMs 56 60 48 60
TPCs 28 30 24 (30?)
FP32 CUDA Cores / SM 64 64 64 64
FP32 CUDA Cores / GPU 3584 3840 3072 3840
FP64 CUDA Cores / SM 32 2 2 32
FP64 CUDA Cores / GPU 1792 120 96 1920
Base Clock 1303 MHz 1417 MHz 1026 MHz TBD
GPU Boost Clock 1442 MHz 1530 MHz 1152 MHz TBD
FP32 TFLOPS (SP) 10.3 12.0 7.0 TBD
FP64 TFLOPS (DP) 5.15 0.375 0.221 TBD
Texture Units 224 240 192 240
ROPs 128? 96 96 128?
Memory Interface 1.4 Gbps
4096-bit HBM2
9 Gbps
384-bit GDDR5X
6.6 Gbps
384-bit
GDDR5
4096-bit HBM2
Memory Bandwidth 716 GB/s 432 GB/s 316.8 GB/s ?
Memory Size 16GB 24 GB 12GB 16GB
TDP 235 W 250 W 250 W TBD
Transistors 15.3 billion 12 billion 8 billion 15.3 billion
GPU Die Size 610mm2 471 mm2 601 mm2 610mm2
Manufacturing Process 16nm 16nm 28nm 16nm

There are some interesting stats here that may not be obvious at first glance. Most interesting is that despite the pricing and segmentation, the GP100 is not the de facto fastest Quadro card from NVIDIA depending on your workload. With 3584 CUDA cores running at somewhere around 1400 MHz at Boost speeds, the single precision (32-bit) rating for GP100 is 10.3 TFLOPS, less than the recently released P6000 card. Based on GP102, the P6000 has 3840 CUDA cores running at something around 1500 MHz for a total of 12 TFLOPS.

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GP100 (full) Block Diagram

Clearly the placement for Quadro GP100 is based around its 64-bit, double precision performance, and its ability to offer real-time simulations on more complex workloads than other Pascal-based Quadro cards can offer. The Quadro GP100 offers 1/2 DP compute rate, totaling 5.2 TFLOPS. The P6000 on the other hand is only capable of 0.375 TLOPS with the standard, consumer level 1/32 DP rate. Inclusion of ECC memory support on GP100 is also something no other recent Quadro card has.

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Raw graphics performance and throughput is going to be questionable until someone does some testing, but it seems likely that the Quadro P6000 will still be the best solution for that by at least a slim margin. With a higher CUDA core count, higher clock speeds and equivalent architecture, the P6000 should run games, graphics rendering and design applications very well.

There are other important differences offered by the GP100. The memory system is built around a 16GB HBM2 implementation which means more total memory bandwidth but at a lower capacity than the 24GB Quadro P6000. Offering 66% more memory bandwidth does mean that the GP100 offers applications that are pixel throughput bound an advantage, as long as the compute capability keeps up on the backend.

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Continue reading our preview of the new Quadro GP100!