AMPD Announces ‘Machine Learning Cloud’ Initiative Built Around AMD Instinct™ MI100 accelerators - the World’s Fastest HPC GPU for Scientific Research*
March 11, 2021
Vancouver, British Columbia – March 11, 2021 – AMPD Ventures Inc. (“AMPD” or the “Company”, CSE: AMPD; FRA: 2Q0) is pleased to announce a ‘Machine Learning Cloud’ initiative designed to cater to the requirements of academic institutions and companies in the artificial intelligence (“AI”), machine learning and deep learning sectors. The platform, featuring AMD Instinct™ accelerators along with the AMD ROCm™ open software platform, will initially be hosted at AMPD’s DC1 data centre in Vancouver, British Columbia, but is expected to expand into other territories over the coming months.
AMD has been focusing on Data Centre Deep Learning solutions, combining its AMD ROCm™ open software platform with its powerful AMD Instinct™ accelerators. With an open-source toolset, AMD ROCm™ is designed to bring a rich foundation to advanced computing with the goal of solving real-world problems. It is the first open-source exascale-class platform for accelerated computing that’s also programming-language independent. It unlocks an array of different open compute languages, compilers, libraries, and tools designed from the ground up to meet the demanding needs of AI scientists and researchers - helping to accelerate code development and solve the toughest challenges in the world today.
AMPD expects to be the first company in Canada to offer the power of the AMD Instinct MI100 accelerators on a service basis. The AMD Instinct MI100 was announced in November 2020 as the world’s fastest High-Performance Computing (HPC) GPU, designed with AMD’s all-new AMD CDNA™ architecture and becoming the industry’s first data center GPU to exceed 10 Teraflops (FP64)*.
AMPD intends to offer subsidized access to these exceptionally powerful compute resources to the academic artificial intelligence community in British Columbia, in addition to its programs for commercial customers who wish to assess their AI compute options in a low-risk environment. AMPD is working with academic institutions across the province, as well as the ‘AI in BC’ industry association to identify programs that would benefit from access to the platform, including a special emphasis on programs designed to increase access to machine learning technology for underrepresented groups with the aim of helping ensure an inclusive and diverse artificial intelligence future.
“It’s clear that AMD and AMPD share the same commitment to the open-source community and open-source technologies that are the driving force behind ROCm™ platform innovations,” said Brad McCredie, corporate vice president, Data Center GPU and Accelerated Processing, AMD. “We are pleased to provide AMPD with the power of these accelerators with the aim of facilitating access for academic institutions and researchers as cost effectively as possible. Our industry-differentiating approach to accelerated compute and heterogeneous workload development gives users unprecedented flexibility, choice and platform autonomy, and we are excited that AMPD plans to offer these advantages on a service basis.”
Additionally, both AMPD and AMD will support the community via the ROCm™ GitHub forums, including guidance and support for HIP (Heterogeneous-Computing Interface for Portability). AMD has developed a suite of tools designed to ease conversion of CUDA applications to portable C++ code by automating much of the conversion work via a source-to-source transformation from CUDA to HIP.
“BC is home to a critical mass of some 200 applied AI companies as well as leading academic and research programs,” said James Hursthouse, Chief Strategy Officer at AMPD. “We expect that this cutting-edge GPU-based hosted environment promoting open-source computing options will yield positive outcomes for AI companies and academic researchers and we are incredibly pleased that a company with the pedigree of AMD has recognized AMPD as a key go-to-market partner. We already have initiatives under way when it comes to the application of artificial intelligence and machine learning in other AMPD core sectors, such as the visual effects industry, as demonstrated by our joint industry academic project on artificial intelligence in motion capture in conjunction with AMPD customer, Shocap Entertainment, and a team of AI researchers at Simon Fraser University.”
Hursthouse recently moderated two panel discussions on the theme of artificial intelligence. On March 4th, 2021, he acted as Panel Chair for a session on ‘How to Build an AI Cluster’ at the ‘Global AI: How to Build Across Borders’ virtual conference, hosted by CityAge, with the support of the AI in BC industry association and the Canada Korea Business Association. Panelists included representatives from MasterCard, Cisco AI Lab, and AI in BC. Hursthouse also moderated a panel at the SPARK FX 2021 Virtual Conference (“SPARK”) with the title ‘Creative Artificial Intelligence and Movie Making: The Artist in the Loop’.
The global artificial intelligence (AI) software market is forecast to grow rapidly in the coming years, reaching around USD $126 billion by 2025. The overall AI market includes a wide array of applications such as natural language processing, robotic process automation, and machine learning. This growth is expected to represent an opportunity for a multi-sector company such as AMPD that supplies GPU-based high-performance computing environments to host these applications.
About AMPD Ventures Inc.
AMPD specializes in providing high-performance cloud and computing solutions for low-latency applications, including video games and eSports, digital animation and visual effects, and big data collection, analysis and visualization. Additional information about us is available on SEDAR and our website at http://ampd.tech.
For further information please contact Investor Relations:
Tel: 604-332-3329 ext. 3
ON BEHALF OF THE BOARD OF DIRECTORS
/s/ “Anthony Brown”
CEO & Director
AMPD Ventures Inc.
Tel: 604-332-3329 ext. 3
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Certain statements made herein may constitute “forward-looking information” under Canadian securities laws (“forward looking statements”). Often, but not always, forward-looking statements can be identified by the use of words such as “plans”, “expects”, “is expected”, “budget”, “scheduled”, “estimates”, “forecasts”, “intends”, “anticipates”, or “believes” or the negatives thereof or variations of such words and phrases or statements that certain actions, events or results “may”, “could”, “would”, “might” or “will” be taken, occur or be achieved. Forward-looking statements herein include, but are not limited to, the growth opportunities in our business and industries we work within, use of GPU’s, global spending on AI systems, the successful implementation and expansion of the AMPD Machine Learning Cloud, the technical and commercial applicability of the AMPD Machine Learning Cloud in academic and commercial markets, and opportunities for companies supplying GPU-based platforms in general.
Forward-looking statements by their nature are based on assumptions and involve known and unknown risks, uncertainties and other factors which may cause the actual results, performance or achievements of the Company to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. We have made certain assumptions about the forward-looking statements, including the growth opportunities in our business and industries we work within, use of GPU’s, global spending on AI systems, our ability to successfully implement and expand the AMPD Machine Learning Cloud, the technical and commercial applicability of the AMPD Machine Learning Cloud in academic and commercial markets, and opportunities for companies supplying GPU-based platforms in general. Although our management believes that the assumptions made and the expectations represented by such statements are reasonable, there can be no assurance that the forward-looking statements will prove to be accurate. Furthermore, should one or more of the risks, uncertainties or other factors materialize, or should underlying assumptions prove incorrect, actual results may vary materially from those described in forward-looking. These risks, uncertainties and other factors include uncertainty regarding the growth opportunities in our business and industries we work within, use of GPU’s, global spending on AI systems, the successful implementation of the AMPD Machine Learning Cloud, the technical and commercial applicability of the AMPD Machine Learning Cloud, and opportunities for companies supplying GPU-based platforms in general, as well as those factors discussed in the section entitled “Risk Factors” in the Company’s Form 2A Listing Statement dated October 17, 2019 and “Risk and Uncertainties” in the Company’s most recent Management Discussion and Analysis filed on SEDAR.
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