Bullish options flow was detected in AMD stock on November 19, 2020.
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On November 16, 2020, Cleveland Research analyst Chandler Converse upgraded AMD to Buy from Neutral as his checks now point to higher server and PC market share estimates in 2021. His checks also point to healthy demand in Q4 across the PC, server and console segments, said Converse, who notes that he estimates Q4 revenue and EPS that will beat consensus forecasts.
On November 16, 2020, During this year’s SC20 virtual tradeshow, AMD (NASDAQ: AMD) is showcasing its leadership in the high performance computing (HPC) industry. It launched the new AMD Instinct™ MI100 accelerator with ROCm™ 4.0 open ecosystem support and showcased a growing list of AMD EPYC™ CPU and AMD Instinct accelerator based deployments, and highlighted its collaboration with Microsoft Azure for HPC in the cloud. AMD also remains on track to begin volume shipments of the 3rd Gen EPYC processors with “Zen 3” core to select HPC and cloud customers this quarter in advance of the expected public launch in Q1 2021, aligned with OEM availability.
The new AMD Instinct™ MI100 accelerator, is the world’s fastest HPC GPU accelerator for scientific workloads and the first to surpass the 10 teraflops (FP64) performance barrier 1. Built on the new AMD CDNA architecture, the AMD Instinct MI100 GPU enables a new class of accelerated systems for HPC and AI when paired with 2nd Gen AMD EPYC processors. Supported by new accelerated compute platforms from Dell, HPE, Gigabyte and Supermicro, the MI100, combined with AMD EPYC CPUs and ROCm 4.0 software, is designed to propel new discoveries ahead of the exascale era.
“No two customers are the same in HPC, and AMD is providing a path to today’s most advanced technologies and capabilities that are critical to support their HPC work, from small clusters on premise, to virtual machines in the cloud, all the way to exascale supercomputers,” said Forrest Norrod, senior vice president and general manager, Data Center and Embedded Solutions Business Group, AMD. “Combining AMD EPYC processors and Instinct accelerators with critical application software and development tools enables AMD to deliver leadership performance for HPC workloads.”
Azure is using 2nd Gen AMD EPYC processors to power its HBv2 virtual machines (VMs) for HPC workloads. These VMs offer up to 2x the performance of first-generation HB-series virtual machines2, can support up to 80,000 cores for MPI jobs3, and take advantage of 2nd Gen AMD EPYC processors’ up to 45% more memory bandwidth than comparable x86 alternatives4.
HBv2 VMs are used by numerous customers including The University of Illinois at Urbana-Champaign’s Beckman Institute for Advanced Science & Technology which used 86,400 cores to model a plant virus that previously required a leadership class supercomputer and the U.S. Navy which rapidly deploys and scales enhanced weather and ocean pattern predictions on demand. HBv2 powered by 2nd Gen AMD EPYC processors also provides the bulk of the CPU compute power for the OpenAI environment Microsoft announced earlier this year.
AMD EPYC processors have also helped HBv2 reach new cloud HPC milestones, such as a new record for Cloud MPI scaling results with NAMD, Top 20 results on the Graph500, and the first 1 terabyte/sec cloud HPC parallel filesystem. Across these and other application benchmarks, HBv2 is delivering 12x higher scaling than found elsewhere on the public cloud.
Adding on to its existing HBv2 HPC virtual machine powered by 2nd Gen AMD EPYC processors, Azure announced it will utilize next generation AMD EPYC processors, codenamed ‘Milan’, for future HB-series VM products for HPC.
On November 16, 2020, AMD (NASDAQ: AMD) announced the new AMD Instinct™ MI100 accelerator – the world’s fastest HPC GPU and the first x86 server GPU to surpass the 10 teraflops (FP64) performance barrier.1 Supported by new accelerated compute platforms from Dell, Gigabyte, HPE, and Supermicro, the MI100, combined with AMD EPYCTM CPUs and the ROCm™ 4.0 open software platform, is designed to propel new discoveries ahead of the exascale era.
Built on the new AMD CDNA architecture, the AMD Instinct MI100 GPU enables a new class of accelerated systems for HPC and AI when paired with 2nd Gen AMD EPYC processors. The MI100 offers up to 11.5 TFLOPS of peak FP64 performance for HPC and up to 46.1 TFLOPS peak FP32 Matrix performance for AI and machine learning workloads2. With new AMD Matrix Core technology, the MI100 also delivers a nearly 7x boost in FP16 theoretical peak floating point performance for AI training workloads compared to AMD’s prior generation accelerators.3
“Today AMD takes a major step forward in the journey toward exascale computing as we unveil the AMD Instinct MI100 – the world’s fastest HPC GPU,” said Brad McCredie, corporate vice president, Data Center GPU and Accelerated Processing, AMD. “Squarely targeted toward the workloads that matter in scientific computing, our latest accelerator, when combined with the AMD ROCm open software platform, is designed to provide scientists and researchers a superior foundation for their work in HPC.”
Open Software Platform for the Exascale Era
The AMD ROCm developer software provides the foundation for exascale computing. As an open source toolset consisting of compilers, programming APIs and libraries, ROCm is used by exascale software developers to create high performance applications. ROCm 4.0 has been optimized to deliver performance at scale for MI100-based systems. ROCm 4.0 has upgraded the compiler to be open source and unified to support both OpenMP® 5.0 and HIP. PyTorch and Tensorflow frameworks, which have been optimized with ROCm 4.0, can now achieve higher performance with MI1007,8. ROCm 4.0 is the latest offering for HPC, ML and AI application developers which allows them to create performance portable software.
“We’ve received early access to the MI100 accelerator, and the preliminary results are very encouraging. We’ve typically seen significant performance boosts, up to 2-3x compared to other GPUs,” said Bronson Messer, director of science, Oak Ridge Leadership Computing Facility. “What’s also important to recognize is the impact software has on performance. The fact that the ROCm open software platform and HIP developer tool are open source and work on a variety of platforms, it is something that we have been absolutely almost obsessed with since we fielded the very first hybrid CPU/GPU system.”
Key capabilities and features of the AMD Instinct MI100 accelerator include:
- All-New AMD CDNA Architecture- Engineered to power AMD GPUs for the exascale era and at the heart of the MI100 accelerator, the AMD CDNA architecture offers exceptional performance and power efficiency
- Leading FP64 and FP32 Performance for HPC Workloads – Delivers industry leading 11.5 TFLOPS peak FP64 performance and 23.1 TFLOPS peak FP32 performance, enabling scientists and researchers across the globe to accelerate discoveries in industries including life sciences, energy, finance, academics, government, defense and more.1
- All-New Matrix Core Technology for HPC and AI – Supercharged performance for a full range of single and mixed precision matrix operations, such as FP32, FP16, bFloat16, Int8 and Int4, engineered to boost the convergence of HPC and AI.
- 2nd Gen AMD Infinity Fabric™ Technology – Instinct MI100 provides ~2x the peer-to-peer (P2P) peak I/O bandwidth over PCIe® 4.0 with up to 340 GB/s of aggregate bandwidth per card with three AMD Infinity Fabric™ Links.4 In a server, MI100 GPUs can be configured with up to two fully-connected quad GPU hives, each providing up to 552 GB/s of P2P I/O bandwidth for fast data sharing.4
- Ultra-Fast HBM2 Memory– Features 32GB High-bandwidth HBM2 memory at a clock rate of 1.2 GHz and delivers an ultra-high 1.23 TB/s of memory bandwidth to support large data sets and help eliminate bottlenecks in moving data in and out of memory.5
- Support for Industry’s Latest PCIe® Gen 4.0 – Designed with the latest PCIe Gen 4.0 technology support providing up to 64GB/s peak theoretical transport data bandwidth from CPU to GPU.6
Available Server Solutions
The AMD Instinct MI100 accelerators are expected by end of the year in systems from major OEM and ODM partners in the enterprise markets, including:
“Dell EMC PowerEdge servers will support the new AMD Instinct MI100, which will enable faster insights from data. This would help our customers achieve more robust and efficient HPC and AI results rapidly,” said Ravi Pendekanti, senior vice president, PowerEdge Servers, Dell Technologies. “AMD has been a valued partner in our support for advancing innovation in the data center. The high-performance capabilities of AMD Instinct accelerators are a natural fit for our PowerEdge server AI & HPC portfolio.”
“We’re pleased to again work with AMD as a strategic partner offering customers server hardware for high performance computing,” said Alan Chen, assistant vice president in NCBU, GIGABYTE. “AMD Instinct MI100 accelerators represent the next level of high-performance computing in the data center, bringing greater connectivity and data bandwidth for energy research, molecular dynamics, and deep learning training. As a new accelerator in the GIGABYTE portfolio, our customers can look to benefit from improved performance across a range of scientific and industrial HPC workloads.”
Hewlett Packard Enterprise (HPE)
“Customers use HPE Apollo systems for purpose-built capabilities and performance to tackle a range of complex, data-intensive workloads across high-performance computing (HPC), deep learning and analytics,” said Bill Mannel, vice president and general manager, HPC at HPE. “With the introduction of the new HPE Apollo 6500 Gen10 Plus system, we are further advancing our portfolio to improve workload performance by supporting the new AMD Instinct MI100 accelerator, which enables greater connectivity and data processing, alongside the 2nd Gen AMD EPYC™ processor. We look forward to continuing our collaboration with AMD to expand our offerings with its latest CPUs and accelerators.”
“We’re excited that AMD is making a big impact in high-performance computing with AMD Instinct MI100 GPU accelerators,” said Vik Malyala, senior vice president, field application engineering and business development, Supermicro. “With the combination of the compute power gained with the new CDNA architecture, along with the high memory and GPU peer-to-peer bandwidth the MI100 brings, our customers will get access to great solutions that will meet their accelerated compute requirements and critical enterprise workloads. The AMD Instinct MI100 will be a great addition for our multi-GPU servers and our extensive portfolio of high-performance systems and server building block solutions.”