\u201cWhile AMD\u2019s Radeon Pro series remains a primary competitor, offering strong performance for similar professional workloads, Nvidia maintains its market lead through its mature and widely-adopted software ecosystem,\u201d said Neil Shah, vice president at Counterpoint Research.<\/p>\n
He added that the CUDA<\/a> platform continues to be the industry standard for AI and parallel computing, giving Nvidia a distinct advantage. While AMD\u2019s ROCm<\/a> platform is progressing, the extensive developer support, documentation, and training available for CUDA allow Nvidia to widen the performance and efficiency gap in a wide array of professional and AI-centric applications.<\/p>\n Shah also cautioned that realizing the full potential of these GPUs requires specialist skills and infrastructure.<\/p>\n \u201cToday\u2019s engineers and data scientists need to be proficient in popular AI frameworks like TensorFlow and PyTorch, but they also need to understand how to optimize their code with Nvidia-specific libraries, such as TensorRT. Enterprises must also be prepared to manage and deploy these GPU-accelerated systems, ensuring that their IT infrastructure, including power and cooling, is capable of supporting the high-performance demands of these workstations,\u201d added Shah.<\/p>\n On-prem AI gains new momentum<\/p>\n Nvidia\u2019s latest small form factor GPUs offer CIOs a way to expand on-premises AI capabilities without major infrastructure changes. The compact and energy-efficient design allows AI and graphics workloads to run locally, reducing reliance on cloud resources, minimizing latency, and improving data privacy.<\/p>\n \u201cThe new RTX Pro series compresses enterprise-grade AI capability into a format that can be integrated without electrical rewiring or space retrofits. This creates new options for CIOs managing latency-sensitive or compliance-bound workloads, such as medical imaging, engineering simulation, or financial modelling, to run them entirely within office workstations,\u201d added Gogia.<\/p>\n","protected":false},"excerpt":{"rendered":"\u201cWhile AMD\u2019s Radeon Pro series remains a primary competitor, offering strong performance for similar professional workloads, Nvidia maintains…\n","protected":false},"author":2,"featured_media":77094,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45],"tags":[182,181,507,74],"class_list":["post-77093","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/77093","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=77093"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/77093\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/77094"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=77093"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=77093"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=77093"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}