You'll have to wait a while longer for gaming cards. AMD is following through on its promise of releasing 7-nanometer GPUs -- not that you can use one yet. The company has formally launched Radeon Instinct MI50 and MI60 cards that use the denser, more efficient chip technology to accelerate specialized computing tasks like AI, cloud services and scientific calculations. The MI60 in particular is billed as the fastest double-precision accelerator of its type, pumping out 7.4 teraflops when crunching 64-bit floating point data. Both boards pack very high-bandwidth (up to 1TB/s) HBM2 memory and can work together in "hive rings" of up to four GPUs thanks to 200GB/s peer-to-peer links. The MI60 will make the promise of 7nm GPUs a reality by shipping to data centers before the end of 2018, while its more accessible MI50 counterpart should arrive no later than the first quarter of 2019. This isn't the 7nm gaming card many people are clamoring for, but it's still a milestone for the computing industry -- you can finally find 7nm tech in a GPU outside of a mobile chip. NVIDIA's RTX graphics hardware remains built on a 12nm process. Look at this as AMD laying the groundwork for 2019, when 7nm could is more likely to find its way inside your gaming rig.
AMD is making the most of TSMC's 7nm process advantage over Intel. AMD today charted out its plans for the next few years of product development, with an array of new CPUs and GPUs in the development pipeline. On the GPU front are two new datacenter-oriented GPUs: the Radeon Instinct MI60 and MI50. Based on the Vega architecture and built on TSMC's 7nm process, the cards are aimed not primarily at graphics (despite what one might think given that they're called GPUs) but rather at machine learning, high-performance computing, and rendering applications. MI60 will come with 32GB of ECC HBM2 (second-generation High-Bandwidth Memory) while the MI50 gets 16GB, and both have a memory bandwidth up to 1TB/s. ECC is also used to protect all internal memory within the GPUs themselves. The cards will also support PCIe 4.0 (which doubles the transfer rate of PCIe 3.0) and direct GPU-to-GPU links using AMD's Infinity Fabric. This will offer up to 200GB/s of bandwidth (three times more than PCIe 4) between up to 4 GPUs. The cards will support a wide range of data types for computation; for neural networks and machine learning, there are half-precision 16-bit floating point and 4- and 8-bit integer support; for HPC workloads, there's single (32-bit) and double (64-bit) precision floating point. AMD claims that the MI60 will be the fastest double-precision accelerator at up to 7.4TFLOPS, with the MI50 not far behind at 6.7TFLOPS. The cards also include built-in support for virtualization, allowing one card to be securely shared between multiple virtual machines. This makes it easier for cloud operators to offer GPU-accelerated virtual machines. The MI60 will ship to datacenter customers by the end of the year; MI50 is coming a little later but should be available by the end of Q1 2019. On the CPU side of things, AMD talked extensively about the forthcoming Zen 2 architecture. The goal of the original Zen architecture was to get AMD, at the very least, competitive with what Intel had to offer. AMD knew that Zen would not take the performance lead from Intel, but the pricing and features of its chips made them nonetheless attractive, especially in workloads that highlighted certain shortcomings of Intel's parts (fewer memory channels, less I/O bandwidth). Zen 2 promises to be not merely competitive with Intel, but superior to it. Key to this is TSMC's 7nm process, which offers twice the transistor density of the 14nm process the original Zen parts used. For the same performance level, power is reduced by about 50 percent, or, conversely, at the same power consumption, performance is increased by about 25 percent. TSMC's 14nm and 12nm processes both trail behind Intel's 14nm process in terms of performance per watt, but with 7nm, TSMC will take the lead. Zen 2 will also address certain weak aspects of the original Zen. For example, the original Zen used 128-bit data paths to handle 256-bit AVX2 operations; each operation was split into two parts and processed sequentially. In workloads using AVX2, this gave Intel, with its native 256-bit implementation, a huge advantage. Zen 2 doubles the floating-point execution units and data paths to be 256-bit, doubling the bandwidth available and greatly improving the performance of this code. For integer workloads, branch prediction and prefetching have been made more accurate and some caches enlarged. Zen 2 will also offer improved hardware protection against some variants of the Spectre attacks. The original Zen used a multichip module design. Chips used one, two, or four dies (for Ryzen, first-generation Threadripper, and Epyc/second-generation Threadripper, respectively) all put together into a single package. Each die had two Core Complexes (blocks of four cores), two memory controllers, some Infinity Fabric links (for connections between dies), and some PCIe channels. This made it straightforward for AMD to scale from the single-die, 8-core/16-thread Ryzen up to the 32-core/64-thread Epyc. Zen 2 is taking a very different approach, albeit one that still uses a multichip design. Instead of having each die contain CPUs, memory controllers, and I/O, the new design splits up the different roles. There will be a single 14nm I/O die, with eight memory controllers, eight Infinity Fabric ports, and PCIe lanes, and then a number of 7nm "chiplets" containing only CPUs and Infinity Fabric. This new approach should remedy some of the more awkward aspects of the original Zen; for example, there is a significant latency overhead when a core on one Zen die has to use memory from another die. With the Zen 2 design, memory latency should become much more uniform. AMD says that Zen 2 is sampling now, with processors due to hit the market in 2019. Zen 3, using an enhanced version of the 7nm process, is currently "on track" and likely to land in 2020, and Zen 4, on a more advanced process, is currently in the design stage.