Today, AMD announced the availability of the AMD Instinct MI300X accelerators - with industry leading memory bandwidth for generative AI and leadership performance for large language model (LLM) training and inferencing - as well as the AMD Instinct MI300A accelerated processing unit (APU) - combining the latest AMD CDNA 3 architecture and "Zen 4" CPUs to deliver breakthrough performance for HPC and AI workloads.

"AMD Instinct MI300 Series accelerators are designed with our most advanced technologies, delivering leadership performance, and will be in large scale cloud and enterprise deployments," said Victor Peng, president, AMD. "By leveraging our leadership hardware, software and open ecosystem approach, cloud providers, OEMs and ODMs are bringing to market technologies that empower enterprises to adopt and deploy AI-powered solutions."

When Lawrence Livermore National Laboratory (LLNL) announced the creation of a two-ExaFLOP supercomputer named El Capitan, we heard that AMD would power it with its Instinct MI300 accelerator. Today, LNLL published a Tweet that states, "We've begun receiving & installing components for El Capitan, @NNSANews' first #exascale #supercomputer. While we're still a ways from deploying it for national security purposes in 2024, it's exciting to see years of work becoming reality." As published images show, HPE racks filled with AMD Instinct MI300 are showing up now at LNLL's facility, and the supercomputer is expected to go operational in 2024. This could mean that November 2023 TOP500 list update wouldn't feature El Capitan, as system enablement would be very hard to achieve in four months until then.

The El Capitan supercomputer is expected to run on AMD Instinct MI300A accelerator, which features 24 Zen4 cores, CDNA3 architecture, and 128 GB of HBM3 memory. All paired together in a four-accelerator configuration goes inside each node from HPE, also getting water cooling treatment. While we don't have many further details on the memory and storage of El Capitan, we know that the system will exceed two ExFLOPS at peak and will consume close to 40 MW of power.

Valve has posted advance notice that Steam will not officially support macOS versions 10.11 ("El Capitan") and 10.12 ("Sierra") from September 1 2023. After this date "the Steam Client will no longer run on those versions of macOS." Valve recommends that users should upgrade to a newer version of macOS, if they intend to continue running Steam and related games and products. The cited reason for ending support is: "core features in Steam rely on an embedded version of Google Chrome, which no longer functions on older versions of macOS. In addition, future versions of Steam will require macOS feature and security updates only present in macOS 10.13 (High Sierra) and above."

Last week, Valve announced that support for Windows 7, Windows 8, and Windows 8.1 operating systems would cease at the very beginning of 2024. It has been a while since older versions of macOS have been declared as unsupported by the Steam Client - Valve announced, way back in late 2018, that it would stop supporting macOS versions 10.7 ("Lion"), 10.8 ("Mountain Lion"), 10.9 ("Mavericks") and 10.10 ("Yosemite") by January 1 2019. Again, an embedding of an iteration of Google Chrome was given as the main reason behind this discontinuation.

During its CES 2023 keynote, AMD announced its latest Instinct MI300 APU, a first of its kind in the data center world. Combining the CPU, GPU, and memory elements into a single package eliminates latency imposed by long travel distances of data from CPU to memory and from CPU to GPU throughout the PCIe connector. In addition to solving some latency issues, less power is needed to move the data and provide greater efficiency. The Instinct MI300 features 24 Zen4 cores with simultaneous multi-threading enabled, CDNA3 GPU IP, and 128 GB of HBM3 memory on a single package. The memory bus is 8192-bit wide, providing unified memory access for CPU and GPU cores. CLX 3.0 is also supported, making cache-coherent interconnecting a reality.

The Instinct MI300 APU package is an engineering marvel of its own, with advanced chiplet techniques used. AMD managed to do 3D stacking and has nine 5 nm logic chiplets that are 3D stacked on top of four 6 nm chiplets with HBM surrounding it. All of this makes the transistor count go up to 146 billion, representing the sheer complexity of a such design. For performance figures, AMD provided a comparison to Instinct MI250X GPU. In raw AI performance, the MI300 features an 8x improvement over MI250X, while the performance-per-watt is "reduced" to a 5x increase. While we do not know what benchmark applications were used, there is a probability that some standard benchmarks like MLPerf were used. For availability, AMD targets the end of 2023, when the "El Capitan" exascale supercomputer will arrive using these Instinct MI300 APU accelerators. Pricing is unknown and will be unveiled to enterprise customers first around launch.

The Exascale supercomputing race is now well underway, as the US-based Frontier supercomputer got delivered, and now we wait to see the remaining systems join the race. Today, during 79th HPC User Forum at Oak Ridge National Laboratory (ORNL), Terri Quinn at Lawrence Livermore National Laboratory (LLNL) delivered a few insights into what El Capitan exascale machine will look like. And it seems like the new powerhouse will be based on AMD's Instinct MI300 APU. LLNL targets peak performance of over two exaFLOPs and a sustained performance of more than one exaFLOP, under 40 megawatts of power. This should require a very dense and efficient computing solution, just like the MI300 APU is.

As a reminder, the AMD Instinct MI300 is an APU that combines Zen 4 x86-64 CPU cores, CDNA3 compute-oriented graphics, large cache structures, and HBM memory used as DRAM on a single package. This is achieved using a multi-chip module design with 2.5D and 3D chiplet integration using Infinity architecture. The system will essentially utilize thousands of these APUs to become one large Linux cluster. It is slated for installation in 2023, with an operating lifespan from 2024 to 2030.

AMD at its 2020 Financial Analyst Day event unveiled its upcoming CDNA GPU-based compute accelerator architecture. CDNA will complement the company's graphics-oriented RDNA architecture. While RDNA powers the company's Radeon Pro and Radeon RX client- and enterprise graphics products, CDNA will power compute accelerators such as Radeon Instinct, etc. AMD is having to fork its graphics IP to RDNA and CDNA due to what it described as market-based product differentiation.

Data centers and HPCs using Radeon Instinct accelerators have no use for the GPU's actual graphics rendering capabilities. And so, at a silicon level, AMD is removing the raster graphics hardware, the display and multimedia engines, and other associated components that otherwise take up significant amounts of die area. In their place, AMD is adding fixed-function tensor compute hardware, similar to the tensor cores on certain NVIDIA GPUs.

AMD has been on a roll in both consumer, professional, and exascale computing environments, and it has just snagged itself another hugely important contract. The US Department of Energy (DOE) has just announced the winners for their next-gen, exascale supercomputer that aims to be the world's fastest. Dubbed "El Capitan", the new supercomputer will be powered by AMD's next-gen EPYC Genoa processors (Zen 4 architecture) and Radeon GPUs. This is the first such exascale contract where AMD is the sole purveyor of both CPUs and GPUs, with AMD's other design win with EPYC in the Cray Shasta being paired with NVIDIA graphics cards.

El Capitan will be a $600 million investment to be deployed in late 2022 and operational in 2023. Undoubtedly, next-gen proposals from AMD, Intel and NVIDIA were presented, with AMD winning the shootout in a big way. While initially the DOE projected El Capitan to provide some 1.5 exaflops of computing power, it has now revised their performance goals to a pure 2 exaflop machine. El Capitan willl thus be ten times faster than the current leader of the supercomputing world, Summit.