GIGABYTE Server Lineup First To Be Tesla M40 Certified

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.

LEADTEK Releases NVIDIA Quadro M6000 and Quadro K1200 Graphics Card

LEADTEK released their new NVIDIA Quadro M6000 and Quadro K1200 graphics cards aimed at the ultra-high-end users and entry-level users with small form factor workstations separately. The new cards feature a large memory that lets you tackle the most challenging visual computing tasks effortlessly.

The NVIDIA Quadro M6000 is powered by the latest NVIDIA Maxwell GPU, has 3072 CUDA cores, and 12GB VRAM. It allows professionals to take on the most challenging digital prototyping, visual effects, and geophysical or architectural visualization workloads, and it supports four displays natively with true 4K resolutions. NVIDIA’s Iray technology allows users to reach new levels of interactive, physically based rendering for exceptional accuracy and photorealism in the creative workflow.

The Quadro K1200 is aimed at the small form factor workstations that don’t want to miss out. The K1200 only uses a single slot and comes as a low-profile card to fit even the smallest cases. It support multiple 4K displays, has 4GB memory capacity, advanced photorealistic rendering, and flexible multi-GPU configurations to let you tackle the most tasks effortlessly.

No word on pricing or availability yet.

Thanks to Leadtek for providing us with this information