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TechPowerUp GPU-Z v2.11.0 Released

TechPowerUp today released the latest version of TechPowerUp GPU-Z, the popular graphics subsystem information and diagnostics utility. Version 2.11.0 introduces support for NVIDIA GeForce RTX 20-series "Turing" graphics cards, including the RTX 2080 Ti, RTX 2080, and RTX 2070. Support is also added for a few exotic OEM variants we discovered over the months, including GTX 750 Ti (GM107-A), GTX 1050 Ti Mobile 4 GB, Quadro P1000, Tesla P100 DGXS, GeForce 9200. From the AMD stable, we add support for "Vega 20," "Fenghuang" semi-custom SoC for Zhongshan Subor, Ryzen 5 Pro 2500U, 5 Pro 2400G, 3 Pro 2200G, 3 Pro 2300U, 3 2200GE, Athlon 200GE, and Embedded V1807B. Intel UHD 610, UHD P630 (Xeon), Coffee Lake GT3e (i5-8259U), are now supported.

Among the new features are system RAM usage sensors, temperature monitoring offsets for AMD Ryzen Threadripper 2000 series processors, and the ability to identify USB-C display output, GDDR6 memory standard, and 16 Gbit density memory chips. Several under-the-hood improvements were made, including WDDM-based memory monitoring for AMD GPUs, replacing ADL sensors that tend to be buggy. GPU-Z also cleans up QueryExternal files from your Temp folder. Grab GPU-Z from the link below.
DOWNLOAD: TechPowerUp GPU-Z v2.11.0

The change-log follows.

Italian Multinational Gas, Oil Company Fires Off HPC4 Supercomputer

Eni has launched its new HPC4 supercomputer, at its Green Data Center in Ferrera Erbognone, 60 km away from Milan. HPC4 quadruples the Company's computing power and makes it the world's most powerful industrial system. HPC4 has a peak performance of 18.6 Petaflops which, combined with the supercomputing system already in operation (HPC3), increases Eni's computational peak capacity to 22.4 Petaflops.

According to the latest official Top 500 supercomputers list published last November (the next list is due to be published in June 2018), Eni's HPC4 is the only non-governmental and non-institutional system ranking among the top ten most powerful systems in the world. Eni's Green Data Center has been designed as a single IT Infrastructure to host all of HPC's architecture and all the other Business applications.

U.S.A. Loses 3rd Place in TOP500 Supercomputer Standings... To Switzerland?

The United States has been being pushed down in the TOP500 standings for some time courtesy China, whom has taken the 1st and 2nd place seats from the US with their Sunway TaihuLight and Tianhe-2 Supercomputers (at a Linpack performance of 93 and 33.9 Petaflops, respectively). It seemed though the crown was stolen from America, 3rd place was relatively safe for the former champs. Not so. America has been pushed right off the podium in the latest TOP500 refresh... not by China though, but Switzerland?

TechPowerUp GPU-Z 2.1.0 Released

TechPowerUp today released GPU-Z 2.1.0, a major update to the popular graphics subsystem information and diagnostic utility. Version 2.1.0 introduces the new Advanced tab, which gives you in-depth information related to your installed graphics hardware and software related to graphics and GPU compute, such as API-level features available to you. Information is presented as drop-down lists in the new Advanced tab. API features of DirectX, OpenCL, CUDA, and Vulkan are added.

In addition to the groundbreaking Advanced tab, GPU-Z 2.1.0 adds support for EVGA iCX technology, and can put out live sensor data from various parts of your EVGA iCX graphics card. There's also the usual addition of new GPU support, which now includes NVIDIA Tesla P100 PCIe, Tesla M10, Quadro P5000, Intel HD Graphics 615, and AMD Radeon HD 8350G. In addition, there are various user-interface bug fixes and improvements.

DOWNLOAD: TechPowerUp GPU-Z 2.1.0
The change-log follows.

Could This be the NVIDIA TITAN Volta?

NVIDIA, which unveiled its faster "Volta" GPU architecture at its 2017 Graphics Technology Conference (GTC), beginning with the HPC product Tesla V100, is closer to launching the consumer graphics variant, the TITAN Volta. A curious-looking graphics card image with "TITAN" markings surfaced on Reddit. One could discount the pic for being that of a well-made cooler mod, until you take a peak at the PCB. It appears to lack SLI fingers where you'd expect them to be, and instead has NVLink fingers in positions found on the PCIe add-in card variant of the Tesla P100 HPC accelerator.

You might think "alright, it's not a fancy TITAN X Pascal cooler mod, but it could be a P100 with a cooler mod," until you notice the power connectors - it has two power inputs on top of the card (where they're typically found on NVIDIA's consumer graphics cards), and not the rear portion of the card (where the P100 has it, and where they're typically found on Tesla and Quadro series products). Whoever pulled this off has done an excellent job either way - of scoring a potential TITAN Volta sample, or modding whatever card to look very plausible of being a TITAN Volta.

AMD VEGA Cube is a Coffee Mug-sized Contraption with 100 TFLOP/s Compute Power

AMD VEGA Cube (working name), is an unannounced product by the company, which could see the light of the day as a Radeon Instinct deep-learning GPGPU solution. This [grande] coffee mug-sized contraption is four GPU subunit boards making up four sides of a cube (well, cuboid), with two sides making up the air channel, likely with space for a compound heatsink or liquid-cooling block, drawing heat from the GPUs lining the inner walls of the cube. The combined compute power of the VEGA Cube, hence, is 100 TFLOP/s (FP16), or 50 TFLOP/s (FP32, single-precision).

Each GPU board is similar in function to NVIDIA's Tesla P100 NVLink board. It has the GPU, VRM, and a high-speed interconnect. The GPUs here in question could be VEGA 10, a multi-chip module with a 25 TFLOP/s (FP16, 12.5 TFLOP/s FP32) GPU die, and 8 GB of HBM2 memory. There are four such GPU boards facing each other. AMD could deploy its much talked about NVLink-alternative, the GMI Coherent Data Fabric, which enables a 100 GB/s data path between neighboring GPUs. It remains to be seen if AMD makes an actual Radeon Instinct product out of this, or of it will remain a really groovy proof of concept.

NVIDIA Announces DGX SaturnV: The World's Most Efficient Supercomputer

This week NVIDIA announced their latest innovation to the HPC landscape, the DGX SaturnV. Destined for the likes of universities and companies with a need for deep learning capabilities, the DGX SaturnV sets a new benchmark for energy efficiency in High Performance Computing. While not managing the title of the fastest supercomputer this year, the SaturnV takes a respectable placing of 28th in the top 500 list, while promising much lower running costs for performance on tap.

Capable of delivering 9.46 GFLOPS of computational speed per Watt of energy consumed, it bests last years best effort of 6.67 GFLOPS/W by 42%. The SaturnV is comprised of 125 DGX-1 deep learning systems, and each DGX-1 contains no less than eight Tesla P100 cards. Where a single GTX1080 can churn out 138 GFLOPS of FP16 calculations, a single Telsa P100 can deliver a massive 21.2 TFLOPS. The singular DGX-1 units are already in the field, including being used by NVIDIA themselves.

NVIDIA Tesla P100 Available on Google Cloud Platform

NVIDIA announced that its flagship GPGPU accelerator, the Tesla P100, will be available through Google Cloud Platform. The company's Tesla K80 accelerator will also be offered. The Google Cloud Platform allows customers to perform specific computing tasks at an infinitesimally lower cost than having to rent hardware in-situ or having to buy it; by offloading your computing tasks to offsite data-centers. IT professionals can build and deploy servers, HPC farms, or even supercomputers, of all shapes and sizes within hours of placing an order online with Google.

The Tesla P100 is a GPGPU with the most powerful GPU in existence - the NVIDIA GP100 "Pascal," featuring 3,584 CUDA cores, up to 16 GB of HBM2 memory, and NVLink high-bandwidth interconnect support. The other high-end GPU accelerators on offer by Google are the Tesla K80, based on a pair of GK210 "Kepler" GPUs, and the AMD FirePro S9300 X2, based on a pair of "Fiji" GPUs.
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