Overview
- NVIDIA has launched a new series of graphics cards called the GeForce RTX 2000
- The company claims that the RTX 2070 is 40% faster than it’s previous release, GTX 1070
- Check out the comparison chart below which illustrates the difference between different offerings in this space
Introduction
Nvidia unveiled its new GeForce RTX 2000 series of graphics cards at Gamescom earlier today. While there has been a lot of anticipation in the gaming community, my eyes are gleaming with the possibilities in Deep Learning as I am writing this post.
Nvidia announced RTX 2070, which is claimed to be 40% faster than GTX 1070.
The beast – RTX 2080 Ti comes with 11 GB GDDR6, 4352 CUDA cores (yes – you read it right), that is 21% more CUDA cores than GTX 1080 Ti. I think that this would result in a 40%+ performance improvement over GTX 1080 Ti – although only time will tell.
The cards are up for pre-orders and will be delivered from 20th September 2018. Here is a brief summary of the specifications of the new cards against the older ones:
| RTX 2080 Ti | RTX 2080 | GTX 1080 Ti | GTX 1080 | RTX 2070 | GTX 1070 | |
| Memory | 11GB GDDR6 | 8GB GDDR6 | 11GB GDDR5X | 8GB GDDR5X | 8GB GDDR6 | 8GB GDDR5 |
| CUDA Cores | 4352 | 2944 | 3584 | 2560 | 2304 | 1920 |
| Memory interface | 352-bit | 256-bit | 352-bit | 256-bit | 256-bit | 256-bit |
| TDP | 285W | 285W | 250W | 180W | 180W | 150W |
Our take on this
We think NVIDIA is set to have a big hardware impact on Deep Learning. A 20% – 40% increase in hardware performance combined with the advancements happening in the algorithms should accelerate the Deep Learning innovations and have huge impact on real world applications in coming 6 – 12 months. We can’t wait to get our hands on this new beast.
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Kunal Jain is the Founder and CEO of Analytics Vidhya, one of the world's leading communities of Al professionals. With over 17 years of experience in the field, Kunal has been instrumental in shaping the global Al landscape. His expertise spans diverse markets, from developed economies like the UK to emerging ones like India, where he has successfully led and delivered complex data-driven solutions. As a recognized thought leader, Kunal has empowered countless individuals to realize their Al ambitions through his visionary approach to Al education and community building. Before founding Analytics Vidhya, Kunal earned both his undergraduate and postgraduate degrees from IIT Bombay and held key roles at Capital One and Aviva Life Insurance across multiple geographies. His passion lies at the intersection of analytics, Al, and fostering a thriving community of data science professionals.
And the 2080ti has almost as many tensor cores than the TitanV, which the Pascal based cards don't have at all. For half the price of a Titan V... That's very exciting!
I want confirmation about that, their web say 100TFLOPS + for AI but could not find the tensorcore info, so I'm a little worried in case they are capped. If we have those tensorcores it will be a fast buy for me.
Does anyone have any information about when the Linux and CUDA cuDNN drivers will be available? Hopefully at launch?
On the paper, the card sounds interesting for ML: More memory bandwidth, more cuda cores, tensor cores,NVLINK Bridge… the only drawback would be that Founders Edition cards won’t come with a blower style cooler (which could be problematic for a usage in a workstation) – but well given, the price tag, I would wait to see some ML benchmarks to see how the new cards behave in real world conditions. Moreover in the coming months, there will be certainly some interesting deals on the GTX 1080ti/1080 – which could turn those cards in real bombs in terms of performance/$. There were also some rumors about the release of a 16Gb version of the RTX series (Might be the future Titan RTX?) – such version would be REALLY great !!