NVIDIA today expanded the reach of its latest-generation GPU architecture into various professional solutions for workstations, servers, and laptops, all of which fall under the RTX Pro Blackwell umbrella.
Following the launch of Blackwell-based GPUs in the consumer space for gaming, NVIDIA today expanded the reach of its latest-generation GPU architecture into various professional solutions for workstations, servers, and laptops, all of which fall under the RTX Pro Blackwell umbrella. In total, we’re looking at a dozen new SKUs to turbocharge AI workloads, 3D designs, complex simulations, and other tasks.
“Software developers, data scientists, artists, designers and engineers need powerful AI
and graphics performance to push the boundaries of visual computing and simulation,
helping tackle incredible industry challenges,” said Bob Pette, vice president of enterprise
platforms at NVIDIA. “Bringing NVIDIA Blackwell to workstations and servers will take
productivity, performance and speed to new heights, accelerating AI inference serving,
data science, visualization and content creation.” Sitting at the top of the heap is the RTX Pro 6000 Blackwell Server Edition, which is designed for enterprise data center deployments. Externally, that entails a passively-cooled thermal design that can run 24/7 in data center environments. Customers also have the ability to configure up to eight GPUs for servers. Additionally, NVIDIA says the Server Edition part can be combined with its vGPU software to run AI workloads across virtualized environments, giving remote workers access to high-performance virtual workstations. Support for this feature will arrive in the second half of 2025.According to NVIDIA, its new RTX Pro 6000 Blackwell Server Edition delivers a multi-fold increase in performance across a whole bunch of enterprise workloads compared to its previous generation Ada Lovelace-based L40S GPU. More specifically, it’s claiming the Blackwell part delivers 5x higher large language model (LLM) inference throughput for agentic AI applications, close to 7x faster genomics sequencing, 3.
