P2000 & P4000
At the mid-range of the market are the Quadro P4000 and P2000. As the more powerful of the two, the Quadro P4000 is based on a cut-down GP104 GPU, the same GPU used in the Quadro P5000. However unlike the P5000, the P4000 has been cut down to size as a single-slot card. With respect to performance on paper it should deliver right around 2x the performance of the M4000, and it can do so with a TDP of 105W, 15W lower than its predecessor. It is also the lower-tier card that NVIDIA still classifies as VR ready; below the P4000 they don’t recommend their cards for VR development.
A user by the name of pethenis posted over at macrumours a concept of a new Mac Pro.
Yes its everything we dreamed of. As far as concept goes this is probably exactly what everyone wants but as far as Apple implementing anything remotely like this is by far no chance. Which is very sad actually because for so long they where actually a competitive workstation builder but now are not and it seems more and more likely that they dont want anything to do with that market. The photos of the concept are a must see.
Set to be released sometime in the first half of this year, AMD’s newest GPU architecture — known as Vega — is designed to tackle complex computing challenges in not only gaming but in graphics design and machine intelligence, the company said yesterday.
Somehow, the fine folks at Zotac (a company generally known for tiny desktops) managed to shrink today’s beefiest graphics card into a far smaller footprint, and without taking away any of its oomph. According to company reps who spoke to PCWorld at CES 2017, it sports the same 8GB of GDDR5X memory and is actually slightly faster than Nvidia’s original with base/boost clocks of 1620MHz and 1759MHz respectively.
Finally a high powered single slot card. This is something i have been dreaming about for long time. As you have seen the best price to performance in Octane Render and Davinci Resolve has been the GTX 1070 8gb so having a single slot card is amazing in regard to expandability. You could stack 4 of these in a micro ATX form factor.
So, We got our hands on a NVIDIA Grid GPU we cant wait to test this out for Video Encoding. NVIDIA is pretty silent on these as they are a HPE part and only sold by OEM partners. Cant wait to test out with OTOY’s Octane Render and Davinci Resolve and see where it stands against some other GPU’s. Below is some specs we gathered from the internet for the card.
With the launch of their Polaris family of GPUs earlier this year, much of AMD’s public focus in this space has been on the consumer side of matters. However now with the consumer launch behind them, AMD’s attention has been freed to focus on what comes next for their GPU families both present and future, and that is on the high-performance computing market. To that end, today AMD is taking the wraps off of their latest combined hardware and software initiative for the server market: Radeon Instinct. Aimed directly at the young-but-quickly-growing deep learning/machine learning/neural networking market, AMD is looking to grab a significant piece of what is potentially a very large and profitable market for the GPU vendors.
Broadly speaking, while the market for HPC GPU products has been slower to evolve than first anticipated, it has at last started to arrive in the last couple of years. Early efforts to port neural networking models to GPUs combined with their significant year-after-year performance growth have not only created a viable GPU market for deep learning, but one that is rapidly growing as well. It’s not quite what anyone had in mind a decade ago when the earliest work with GPU computing began, but then rarely are the killer apps for new technologies immediately obvious.
Getting to the meat of AMD’s announcement today then, deep learning has the potential to be a very profitable market for the GPU manufacturer, and as a result the company has put together a plan for the next year to break into that market. That plan is the Radeon Instinct initiative, a combination of hardware (Instinct) and an optimized software stack to serve the deep learning market. Rival NVIDIA is of course already heavily vested in the deep learning market – all but staking the Tesla P100 on it – and it has paid off handsomely for the company as their datacenter revenues have exploded.