Intel has recently announced some more information about their gaming line of discrete GPUs, now branded as "Arc" (AMD brands as Radeon and Nvidia as Geforce).
Their new gaming GPU architecture is known as Xe-HPG (Xe- High Performance Gaming) [Nivida architecture is called Ampere while AMD's architecture is called RDNA). Similar to AMD's approach they have a separate compute based architecture for their datacenter GPUs.
Their GPU family/line this round are code named Alchemist
Their top die is said to launch in the first half of 2022 and performance is estimated to be roughly RTX3070 levels in raster. (Possibly slightly higher).
These new GPUs have hardware accelerated Ray Tracing, although not much is known about the performance here or the architecture of their hardware based RT.
The GPUs will be manufactured on TSMC's 6nm process.
The most interesting news though is the announcement of Intel's DLSS competitor: XeSS (Xe Super Sampling)
This is an AI based temporal solution, using a trained neural network that makes use of motion vectors and previous frame data. While Intel has hardware acceleration for this, they are also planning on open sourcing their solution (at a slightly later date).
This means that their solution should work (in a slightly different method with slightly more overhead) on competitors GPUs and even integrated graphics.
Intel demonstrated this technology in motion during their presentation and the results looked quite impressive.
This is amazing news for renewed competition in the market and it looks like Intel is actually giving an honest try here in the GPU market.
What's more their XeSS looks to be an amazing boon for Intel and potentially a fantastic development for upsampling/reconstruction tech in the industry. If this is adopted widely it could prove to be tough competition for DLSS adoption.
Their new gaming GPU architecture is known as Xe-HPG (Xe- High Performance Gaming) [Nivida architecture is called Ampere while AMD's architecture is called RDNA). Similar to AMD's approach they have a separate compute based architecture for their datacenter GPUs.
Their GPU family/line this round are code named Alchemist
Their top die is said to launch in the first half of 2022 and performance is estimated to be roughly RTX3070 levels in raster. (Possibly slightly higher).
These new GPUs have hardware accelerated Ray Tracing, although not much is known about the performance here or the architecture of their hardware based RT.
The GPUs will be manufactured on TSMC's 6nm process.
The most interesting news though is the announcement of Intel's DLSS competitor: XeSS (Xe Super Sampling)
This is an AI based temporal solution, using a trained neural network that makes use of motion vectors and previous frame data. While Intel has hardware acceleration for this, they are also planning on open sourcing their solution (at a slightly later date).
This means that their solution should work (in a slightly different method with slightly more overhead) on competitors GPUs and even integrated graphics.
Intel demonstrated this technology in motion during their presentation and the results looked quite impressive.
This is amazing news for renewed competition in the market and it looks like Intel is actually giving an honest try here in the GPU market.
What's more their XeSS looks to be an amazing boon for Intel and potentially a fantastic development for upsampling/reconstruction tech in the industry. If this is adopted widely it could prove to be tough competition for DLSS adoption.