Monday, August 5th 2019
![Intel](https://tpucdn.com/images/news/intel-v1723816949774.png)
Intel Plans to Launch Its Discrete GPU Lineup Starting at $200
During interview with Russian YouTube channel called PRO Hi-Tech, Raja Koduri, Intel's chief architect and senior vice president of architecture, software and graphics, talked about his career, why he left AMD, and where Intel is going with its discrete GPU attempts. However, one of the most notable things Mr Koduri said was regarding upcoming GPU lineup code-named Arctic Sound. He noted that Intel plans to release first GPU as a mid-range model at a price of $200, while enterprise solutions that utilize HBM memory will follow that.
Koduri said that he wants to replicate AMD's strategy of capturing high-volume price-points, such as the $199 Radeon RX 480. The plan here is to bring an affordable, good performing GPU to the masses - "GPUs for everyone" as he calls them. Additionally, he states that Intel's current strategy revolves around price, not performance, providing best possible value to consumers. Intel's approach for the next two or three years is to launch a complete lineup of GPUs, with a common architecture being used for everything from iGPUs found inside consumer CPUs to data-center GPUs.Update: PRO Hi-Tech has posted a snippet of Raja Koduri interview, without the Russian overlay commentary. What he said was actually: "...Eventually our architecture, as publicly said, has to get from mainstream, which is starting at around $100, all the way to data-center class graphics with HBM memory...". This means that the previous speculation about $200 graphics card is false, as he didn't say that. All he said is that Intel wants to enter the "mainstream" GPU market and work its way up to data center.
Source:
PRO Hi-Tech
Koduri said that he wants to replicate AMD's strategy of capturing high-volume price-points, such as the $199 Radeon RX 480. The plan here is to bring an affordable, good performing GPU to the masses - "GPUs for everyone" as he calls them. Additionally, he states that Intel's current strategy revolves around price, not performance, providing best possible value to consumers. Intel's approach for the next two or three years is to launch a complete lineup of GPUs, with a common architecture being used for everything from iGPUs found inside consumer CPUs to data-center GPUs.Update: PRO Hi-Tech has posted a snippet of Raja Koduri interview, without the Russian overlay commentary. What he said was actually: "...Eventually our architecture, as publicly said, has to get from mainstream, which is starting at around $100, all the way to data-center class graphics with HBM memory...". This means that the previous speculation about $200 graphics card is false, as he didn't say that. All he said is that Intel wants to enter the "mainstream" GPU market and work its way up to data center.
77 Comments on Intel Plans to Launch Its Discrete GPU Lineup Starting at $200
Ha ha ha ha ha
Ehm ehm
Ha ha ha ha ha
I wonder if Intel still thinks it can be a game changer in graphics world. They speak as they think people are die hard fans of their igp and people are gona leave everything and buy their gfx.
I know where all of this is going. First they introduce AI instructions. 2nd they want their PCH to be the part of the cpu. Now hunting the gpu market. Hmmm things start to fill up now. Nividia holds the current position in graphical AI for Tesla and Volvo. So Intel wants a piece of that. As there is no competitor in that area.
en.wikipedia.org/wiki/VESA_Digital_Flat_Panel
en.wikipedia.org/wiki/Tegra
And its not just fusing some Cortexes together either - not all of it anyway
en.wikipedia.org/wiki/Project_Denver
Having something different, maybe even a rock-paper-scissors type of variety seems to be worthless to most. Having more choice, also worthless it seems. And that's plain sad. All the grown men have turned back into 12 year old brats.
And no, I'm not saying buy regardless of x, y & z.
The general rule is that with time as the theoretical TFLOPS increases so does the actual performance. Pick any two random GPUs from the last decade and order their performance by the number of TFLOPS and I bet 80% of the time the prediction would be correct.
Number is higher so perf is higher.. sure. But that happens with a lot of numbers and just like the rest does not really translate between brands, gpu generations etc etc
Its a bit like comparing clockspeeds to gauge performance, it only works within one generation of the same architecture. Ergo: pointless for most comparisons.
Either I am still missing the point or we just attribute different value to this number. I really dont ever use this metric for anything worthwhile comparing, ever...
I mean, comparing Pascal and Turing or even any other Nvidia arch since Kepler isnt the best example to make your point. Most of the basics havent changed much.
RTX 2080 Ti can reach 17.186 TFLOPS which is backed by six GPC (includes geometry-raster units) and read/write 88 ROPS at about 1950Mhz