Principal Ai Software Solution Architect
CurrentArtificial Intelligence and Data Center GPU Group product management
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Yu Wang is listed as Driving AMD’s Enterprise AI Strategy and Solutions | Artificial Intelligence Group Product Management at AMD, a with 16705 employees, based in United States. AeroLeads shows a matched LinkedIn profile for Yu Wang.
Yu Wang previously worked as Principal AI Software Solution Architect at Amd and Technology Product Management, VCF at Broadcom. Yu Wang holds Doctor Of Philosophy (Ph.D.) from University Of Maryland Baltimore County.
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I'm part of the product management team in AIG (Artificial Intelligence Group) at AMD. I focus on defining and executing AMD's enterprise AI software strategy and solutions.Previously, as a product manager in the VCF division at VMware by Broadcom, I looked after the enablement of GPUs and advanced compute workloads on VMware Cloud Foundation (VCF). I led the definition, development, and release of VMware’s first enterprise GenAI solution, Private AI Foundation with NVIDIA, collaborating closely with cross-functional teams and industry partners like NVIDIA to bring this powerful solution to market.With a deep background in computer graphics, GPGPU programming, HPC, and computer vision, I bring a comprehensive understanding of the challenges and opportunities in AI and advanced computing. My expertise enables me to define product strategy, lead cross-functional teams, and foster collaboration with industry leaders.
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San Jose, California, United States
Artificial Intelligence and Data Center GPU Group product management
Palo Alto, California, United States
I played a pivotal role in driving the enablement of advanced compute workloads and GPU capabilities through VMware Cloud Foundation (VCF). I led the product definition, development and release of VMware’s first enterprise Generative AI solution, Private AI Foundation with NVIDIA, which empowered organizations to harness AI capabilities securely within their own data centers.My work involved close collaboration with cross-functional teams, including product management, engineering… Show more I played a pivotal role in driving the enablement of advanced compute workloads and GPU capabilities through VMware Cloud Foundation (VCF). I led the product definition, development and release of VMware’s first enterprise Generative AI solution, Private AI Foundation with NVIDIA, which empowered organizations to harness AI capabilities securely within their own data centers.My work involved close collaboration with cross-functional teams, including product management, engineering, marketing, sales, and customer success, to ensure that our solution met the evolving needs of the market. Show less
As part of an internal rotation program ("Take3"), I was given the opportunity to be part of the vSphere product management team, and learn about the PM role in our organization.I was responsible for helping the CIBG PM team identify VMware's opportunities in capturing advanced workloads, and the MVP in new product features.
Palo Alto, California, United States
Vulkan Renderer team, Core Graphics, Cloud Infrastructure Business Group (CIBG)- Implementation in Vulkan backend to support graphics features to allow backwards compatibility for Workstation on existing graphics vendor platforms.- Working with our partner at AMD to enable VMware hosted products on AMD GPUs.- Finding root causes for host crashes, hangs, and rendering failures in AMD’s open source Vulkan driver (AMDVLK). Working with AMD partners to resolve these issues.
Palo Alto, California
GL Renderer team, Core Graphics, Cloud Platform Business Unit (CPBU)- Feature implementation in the backend to support HLSL Shader Model 4, Shader Model 5, and DX11.1 DDI, etc for Workstation, Fusion, and ESXi.- Investigating and fixing GL renderer regressions in Workstation and Fusion graphics stack.- Maintain test hosts running regression tests on Workstation and Fusion. Investigate, design minimum reproducible test cases, and report OpenGL driver regression to our partners… Show more GL Renderer team, Core Graphics, Cloud Platform Business Unit (CPBU)- Feature implementation in the backend to support HLSL Shader Model 4, Shader Model 5, and DX11.1 DDI, etc for Workstation, Fusion, and ESXi.- Investigating and fixing GL renderer regressions in Workstation and Fusion graphics stack.- Maintain test hosts running regression tests on Workstation and Fusion. Investigate, design minimum reproducible test cases, and report OpenGL driver regression to our partners (Apple, and NVIDIA)- Investigate, reproduce, debug and provide solutions to customer reported graphics issues. Show less
Palo Alto, California
* Optimize Windows OpenGL driver configuration on guest virtual machine. Design configuration file format and structure, implement the functionality in Windows driver and Mesa state tracker where extension and context configuration options are queried based on application process name before a context is created. (Language: C, XML parsing library: expat)* Design better Mesa GLSL compiler function inline heuristics. The criteria include function size (in IR instruction count), maximum call… Show more * Optimize Windows OpenGL driver configuration on guest virtual machine. Design configuration file format and structure, implement the functionality in Windows driver and Mesa state tracker where extension and context configuration options are queried based on application process name before a context is created. (Language: C, XML parsing library: expat)* Design better Mesa GLSL compiler function inline heuristics. The criteria include function size (in IR instruction count), maximum call depth, and function call frequency. Profile large GLSL shaders with complex call graphs. Integrate function inline heuristics in GLSL-to-TGSI opcodes conversion in the Mesa GLSL compiler implementation.* OpenGL extension: GL_ARB_clear_texture implementation in Mesa state tracker and svga driver Show less
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Yu Wang works for AMD.
Yu Wang is listed as Driving AMD’s Enterprise AI Strategy and Solutions | Artificial Intelligence Group Product Management at AMD.
Yu Wang is based in United States while working with AMD.
Yu Wang has worked for Amd, Broadcom, and Vmware.
Yu Wang's colleagues at AMD include Anjelo Gana, Sonny Jiang, Victor Chu, Anil Kumar Reddy Kanamata Reddy, and Parsa Ashrafi.
You can use AeroLeads to view verified contact signals for Yu Wang at AMD, including work email, phone, and LinkedIn data when available.
Yu Wang holds Doctor Of Philosophy (Ph.D.) from University Of Maryland Baltimore County.
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