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Supermicro Breakthrough Universal GPU System - Supports All Major CPU, GPU, and Fabric Architectures

Super Micro Computer, Inc. (SMCI), a global leader in enterprise computing, storage, networking solutions, and green computing technology, has announced a revolutionary technology that simplifies large scale GPU deployments and is a future proof design that supports yet to be announced technologies. The Universal GPU server provides the ultimate flexibility in a resource-saving server.

The Universal GPU system architecture combines the latest technologies supporting multiple GPU form factors, CPU choices, storage, and networking options optimized together to deliver uniquely-configured and highly scalable systems. Systems can be optimized for each customer's specific Artificial Intelligence (AI), Machine Learning (ML), and High-Performance Computing (HPC) applications. Organizations worldwide are demanding new options for their next generation of computing environments, which have the thermal headroom for the next generation of CPUs and GPUs.

AMD Details Instinct MI200 Series Compute Accelerator Lineup

AMD today announced the new AMD Instinct MI200 series accelerators, the first exascale-class GPU accelerators. AMD Instinct MI200 series accelerators includes the world's fastest high performance computing (HPC) and artificial intelligence (AI) accelerator,1 the AMD Instinct MI250X.

Built on AMD CDNA 2 architecture, AMD Instinct MI200 series accelerators deliver leading application performance for a broad set of HPC workloads. The AMD Instinct MI250X accelerator provides up to 4.9X better performance than competitive accelerators for double precision (FP64) HPC applications and surpasses 380 teraflops of peak theoretical half-precision (FP16) for AI workloads to enable disruptive approaches in further accelerating data-driven research.

AMD Accelerated Data Center Event Live Blog

AMD held its Accelerated Data Center Keynote address by CEO Dr Lisa Su today. The company made some big announcements for the enterprise space in this first major series of announcements by AMD after Intel's launch of its Alder Lake 12th Gen Core processors that set the tone for what's to come from Intel in the enterprise space (Xeon "Sapphire Rapids"). First up is the EPYC "Milan-X" line of server processors leveraging 3D Infinity Cache memory, a tripling in L3 cache amount, which the company claims significantly improves performance of memory-intensive applications. This should also give you an idea if any upcoming Ryzen desktop processor based on the refreshed chiplet could live up to its claim of "up to 15% gaming performance boost." The next-generation Instinct MI200 series GPU compute accelerators are equally important as they bring the CDNA2 compute architecture to market, establishing competition to NVIDIA's A-series Tensor Core processors, and Intel's upcoming "Ponte Vecchio" Xe-HPC accelerators.

AMD Zen 4 and RDNA3 Confirmed for 2022, Zen 3 Refresh

AMD CEO Dr Lisa Su, in the company's Q2-2021 financial results call, confirmed that the company is on-track to launch the Zen 4 CPU microarchitecture and RDNA3 graphics architecture, in 2022. Zen 4 would herald the first major desktop platform change since the original Zen architecture, with the introduction of a new CPU socket, and support for DDR5 memory. The RDNA3 graphics architecture, meanwhile, is expected to nearly triple SIMD resources over the previous generation, and introduce even more fixed-function hardware for raytracing.

In the meantime, AMD is preparing a counter to Intel's 12th Gen Core "Alder Lake-S" processor, in the form of Zen 3 with 3D Vertical Cache, which is also being referred to as the Zen 3+ architecture. These processors feature additional last-level cache, and the company claims a 15% gaming performance uplift, which should help it close the gaming performance gap with Intel, and win on sheer core-count of its big cores. It remains to be seen if Zen 3+ remains on Socket AM4 or if it debuts AM5, as AMD will be under pressure to match "Alder Lake" in platform I/O, which includes DDR5. Dr Su also confirmed that AMD has started shipping the Instinct MI200 "Aldebaran" compute accelerator based on the CDNA2 architecture. AMD's first MCM GPU with two logic dies, "Aldebaran" takes the fight to NVIDIA's top A100 series compute accelerators, and has already scored wins with ongoing HPC/supercomputing projects.

AMD Instinct MI200 "Aldebaran" to Launch Later This Year

AMD's next-generation HPC accelerator card, the Instinct MI200, is expected to launch later this year. CEO Dr Lisa Su, speaking at a financial event hosted by JPMorgan stated that the company would launch the next-generation of CDNA architecture this year. The card debuts the company's new CDNA2 compute architecture, and is on its way to supercomputers already announced. The Instinct MI200 HPC accelerator card is based on the new "Aldebaran" compute accelerator package, which is a multi-chip module of not just the compute silicon and memory dies; but one that has multiple compute dies.

AMD Announces 3rd Generation EPYC 7003 Enterprise Processors

AMD today announced its 3rd generation EPYC (7003 series) enterprise processors, codenamed "Milan." These processors combine up to 64 of the company's latest "Zen 3" CPU cores, with an updated I/O controller die, and promise significant performance uplifts and new security capabilities over the previous generation EPYC 7002 "Rome." The "Zen 3" CPU cores, AMD claims, introduce an IPC uplift of up to 19% over the previous generation, which when combined by generational increases in CPU clock speeds, bring about significant single-threaded performance increases. The processor also comes with large multi-threaded performance gains thanks to a redesigned CCD.

The new "Zen 3" CPU complex die (CCD) comes with a radical redesign in the arrangement of CPU cores, putting all eight CPU cores of the CCD in a single CCX, sharing a large 32 MB L3 cache. This the total amount of L3 cache addressable by a CPU core, and significantly reduces latencies for multi-threaded workloads. The "Milan" multi-chip module has up to eight such CCDs talking to a centralized server I/O controller die (sIOD) over the Infinity Fabric interconnect.

AMD Instinct MI200 to Launch This Year with MCM Design

AMD is slowly preparing the next-generation of its compute-oriented flagship graphics card design called Instinct MI200 GPU. It is the card of choice for the exascale Frontier supercomputer, which is expected to make a debut later this year at the Oak Ridge Leadership Computing Facility. With the supercomputer planned for the end of this year, AMD Instinct MI200 is also going to get launched eight a bit before or alongside it. The Frontier exascale supercomputer is supposed to bring together AMD's next-generation Trento EPYC CPUs with Instinct MI200 GPU compute accelerators. However, it seems like AMD will utilize some new technologies for the making of this supercomputer. While we do not know what Trento EPYC CPUs will look like, it seems like Instinct MI200 GPU is going to feature a multi-chip-module (MCM) design with the new CDNA 2 GPU architecture. With this being the only information about the GPU, we have to wait a bit to find out more details.
AMD CDNA Die

AMD Wins Contract for European LUMI Supercomputer: 552 petaflop/s Powered by Epyc, AMD Instinct

AMD has won a contract to empower the LUMI supercomputer, designed for the EuroHPC Joint Undertaking (EuroHPC JU) in conjunction with 10 European countries. The contract will see AMD provide both the CPU and GPU innards of the LUMI, set to be populated with next-generation AMD Epyc CPUs and AMD Instinct GPUs. The supercomputer, which is set to enter operation come next year, will deliver an estimated 552 petaflop/s - higher than the world's current fastest supercomputer, Fugaku in Japan, which reaches peak performance of 513 petaflop/s - and is an Arm-powered affair.

The contract for LUMI's construction has been won by Hewlett Packard Enterprise (HPE), which will be providing an HPE Cray EX supercomputer powered by the aforementioned AMD hardware. LUMI has an investment cost set at 200 million euros, for both hardware, installation, and the foreseeable lifetime of its operation. This design win by AMD marks another big contract for the company, which was all but absent from the supercomputing space until launch, and subsequent iterations, of its Zen architecture and latest generations of Instinct HPC accelerators.

AMD Confirms CDNA-Based Radeon Instinct MI100 Coming to HPC Workloads in 2H2020

Mark Papermaster, chief technology officer and executive vice president of Technology and Engineering at AMD, today confirmed that CDNA is on-track for release in 2H2020 for HPC computing. The confirmation was (adequately) given during Dell's EMC High-Performance Computing Online event. This confirms that AMD is looking at a busy 2nd half of the year, with both Zen 3, RDNA 2 and CDNA product lines being pushed to market.

CDNA is AMD's next push into the highly-lucrative HPC market, and will see the company differentiating their GPU architectures through market-based product differentiation. CDNA will see raster graphics hardware, display and multimedia engines, and other associated components being removed from the chip design in a bid to recoup die area for both increased processing units as well as fixed-function tensor compute hardware. CNDA-based Radeon Instinct MI100 will be fabricated under TSMC's 7 nm node, and will be the first AMD architecture featuring shared memory pools between CPUs and GPUs via the 2nd gen Infinity Fabric, which should bring about both throughput and power consumption improvements to the platform.

AMD's Next-Generation Radeon Instinct "Arcturus" Test Board Features 120 CUs

AMD is preparing to launch its next-generation of Radeon Instinct GPUs based on the new CDNA architecture designed for enterprise deployments. Thanks to the popular hardware leaker _rogame (@_rogame) we have some information about the configuration of the upcoming Radeon Instinct MI100 "Arcturus" server GPU. Previously, we obtained the BIOS of the Arcturus GPU that showed a configuration of 128 Compute Units (CUs), which resulted in 8,192 of CDNA cores. That configuration had a specific setup of 1334 MHz GPU clock, SoC frequency of 1091 MHz, and memory speed of 1000 MHz. However, there was another GPU test board spotted which featured a bit different specification.

The reported configuration is an Arcturus GPU with 120 CUs, resulting in a CDNA core count of 7,680 cores. These cores are running at frequencies of 878 MHz for the core clock, 750 MHz SoC clock, and a surprising 1200 MHz memory clock. While the SoC and core clocks are lower than the previous report, along with the CU count, the memory clock is up by 200 MHz. It is important to note that this is just a test board/variation of the MI100, and actual frequencies should be different.
AMD Radeon Instinct MI60

AMD Announces the CDNA and CDNA2 Compute GPU Architectures

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 Datacenter GPU Roadmap CDNA CDNA2 AMD CDNA Architecture AMD Exascale Supercomputer

AMD Unveils World's First 7 nm GPUs - Radeon Instinct MI60, Instinct MI50

AMD today announced the AMD Radeon Instinct MI60 and MI50 accelerators, the world's first 7nm datacenter GPUs, designed to deliver the compute performance required for next-generation deep learning, HPC, cloud computing and rendering applications. Researchers, scientists and developers will use AMD Radeon Instinct accelerators to solve tough and interesting challenges, including large-scale simulations, climate change, computational biology, disease prevention and more.

"Legacy GPU architectures limit IT managers from effectively addressing the constantly evolving demands of processing and analyzing huge datasets for modern cloud datacenter workloads," said David Wang, senior vice president of engineering, Radeon Technologies Group at AMD. "Combining world-class performance and a flexible architecture with a robust software platform and the industry's leading-edge ROCm open software ecosystem, the new AMD Radeon Instinct accelerators provide the critical components needed to solve the most difficult cloud computing challenges today and into the future."
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