Deep learning is redefining what is possible for a computer to do with the information that is provided. This is however a very compute intensive task and it requires specialized hardware to get the optimal performance. This is also the technology that one day will make an AI possible. Nvidia’s Tesla M40 is the fastest deep learning accelerator and it significantly reduces the training time. GIGABYTE is the first server maker to have its lineup certified for just these new NVIDIA cards. While a certification isn’t a thing that is necessarily needed, it is one of those guidelines that you shouldn’t look past.
Right now you are most likely wondering what deep learning is and I could go into a lot of details about its start, progress, and details – but I doubt anyone would read all that here. Wikipedia’s definition probably sums it up best. With very basic words, it allows the software to draw its own conclusions based on what it already knows.
The Wikipedia definition reads: “Deep learning (deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers with complex structures, or otherwise composed of multiple non-linear transformations.”
NVIDIA’s Tesla M40 is a quite impressive card with its 3072 CUDA cores, 12GB GDDR5 memory with a bandwidth of 288GB/s, and a single precision peak performance of 7 TFLOPS. That is just from one card and we need to keep in mind that some of GIGABYTE’s servers can handle up to 8 graphics cards each. That adds up to a lot of performance.
If you already have a GIGABYTE server or plan to purchase one, then you’ll most likely also know the model number already. I’ve added a screenshot from the official compatibility list below which in that case will save you the trip to the official compatibility list. We see that it’s only the R280-G20 that isn’t certified for the M40, but that is because the system has a different field of operation than the rest.
So GIGABYTE has you well covered in regards to NVIDIA’s impressive Tesla M40 Deep Learning GPU.
Two new additions to the Samsung Galaxy J series has been revealed by a TENAA, a Chinese certification authority which certifies the electronics to be sold in China just like what FCC does in US. The upcoming pair of Samsung offerings is named Galaxy J5 and Galaxy J7 and will join the Galaxy J1 which is already in the market. Today, TENAA has published the images and specifications of the mentioned devices.
Galaxy J5 is going to sport 5.0-inch display, a 1.2GHz quad-core Qualcomm Snapdragon 410 processor coupled with 1.5GB RAM and 8GB of internal storage. It also has a removable microSD card slot is backed up by a 2600mAh battery and 13-megapixel rear and 5-megapixel front camera. It is 8.5 mm thin and weighs just 149 grams. Samsung Galaxy J7, on the other hand, will be powered by a 1.4GHz Marvel PXA1936 processor coupled with 1.5GB RAM and 16GB internal storage. It’s going to boast a 5.5-inch display, 3000mAh battery and a 13-megapixel rear and 5-megapixel front camera. Both of the devices will be shipped running Android 5.0.2.
Thank you Sammobile for providing us with this information.
Nearly a year ago, Apple revealed its revolutionary way of controlling smart appliances with the help of your iPad or iPhone. However, nearly a year has passed and we have yet to see any devices that we can actually use with Apple’s tech. Why? Well, big ideas don’t really work as well in real life as they do on paper.
Rumour has it that iOS devices required a substantial amount of memory to control smart appliances, so the company had to trim the code down a bit. This inevitably led to delays, but nothing official came from Apple itself, so we won’t really know what the real deal is. What we do know is that rumours pointing to an August or September launch date for smart appliances have now been scrapped.
Instead, the first HomeKit smart devices will now be launched as soon as next month. Yes, you will be able to browse around store looking for things to control with your iOS device as early as June. One of the main reasons that influenced an early release date seems to come Apple’s partners, who wish to push out their own contraptions as early as possible, even though the first certification program for the HomeKit was introduced late last year.
What all of this means is that we are likely to be hit by a variety of HomeKit-enabled iOS controllable smart devices by the end of the summer. How exciting is this? Are you going to be among the first who buy one of such devices? Let us know!