NVIDIA unveils RTX PRO Blackwell GPUs

Published 18/03/2025, 20:10
© Reuters

SAN JOSE, Calif. - NVIDIA, the semiconductor giant with over $130 billion in annual revenue and an impressive 75% gross profit margin, has launched a new series of GPUs, the NVIDIA RTX PRO Blackwell, aimed at redefining the capabilities of workstations and servers for professionals across various industries. The announcement was made at the GTC conference on Tuesday. According to InvestingPro, NVIDIA maintains a perfect Piotroski Score of 9, indicating exceptional financial strength and operational efficiency.

The RTX PRO Blackwell series includes a range of GPUs for data centers, desktops, and laptops, designed to accelerate workflows in AI, technical, creative, and engineering fields. The lineup boasts features such as the NVIDIA Streaming Multiprocessor, up to 96GB of GDDR7 memory for workstations and servers, and support for fifth-generation PCIe. This product launch comes as NVIDIA demonstrates remarkable revenue growth of 114% year-over-year, reinforcing its position as a prominent player in the Semiconductors industry.

NVIDIA’s Vice President of Enterprise Platforms, Bob Pette, emphasized that the new GPUs will significantly enhance productivity and performance for professionals by accelerating AI inference serving, data science, visualization, and content creation.

The RTX PRO 6000 Blackwell Server Edition GPU is tailored for enterprise data center deployments and can be configured with up to eight GPUs per server. It is expected to be available from leading data center system partners and cloud service providers later this year.

On the desktop side, the NVIDIA RTX PRO 6000 Blackwell Workstation Edition and NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition will be accessible through global distribution partners starting in April, with broader availability from manufacturers in May. Other models in the Blackwell series will be released in the summer.

For mobile professionals, the NVIDIA RTX PRO Blackwell laptop GPUs will be available from major manufacturers later in the year.

Early evaluations by companies such as Foster + Partners and GE HealthCare have indicated significant performance improvements with the new GPUs. Rivian’s Chief Design Officer, Jeff Hammoud, also reported enhanced visual experiences in VR automotive design reviews.

The RTX PRO GPUs are part of the NVIDIA AI platform and are built to support a deep ecosystem of AI-accelerated applications. NVIDIA also anticipates that enterprise customers will be able to prototype AI applications locally with the RTX PRO GPUs and scale them up in data centers or the cloud.

This news article is based on a press release statement from NVIDIA.

In other recent news, NVIDIA has announced the release of two new personal AI supercomputers, the DGX Spark and DGX Station, designed for AI developers and researchers. These systems incorporate the NVIDIA Grace Blackwell architecture, aiming to bring advanced AI capabilities to desktops. In another development, NVIDIA has launched silicon photonics networking switches, known as NVIDIA Spectrum-X and NVIDIA Quantum-X, to enhance energy efficiency in AI factories. These switches promise significant improvements in power efficiency and network resilience.

Additionally, NVIDIA unveiled the Blackwell Ultra platform, which is expected to enhance AI reasoning capabilities and increase revenue opportunities for AI factories. The platform is optimized for sophisticated AI applications and integrates with NVIDIA’s networking solutions for improved data throughput. NVIDIA also introduced NVIDIA Dynamo, an open-source software designed to boost AI inference efficiency by optimizing GPU resource utilization.

Furthermore, NVIDIA has partnered with telecom giants, including T-Mobile and Cisco, to develop AI-driven 6G wireless networks. This collaboration aims to integrate AI into next-generation networks to improve spectral efficiency and performance. These recent developments highlight NVIDIA’s ongoing efforts to advance AI infrastructure and performance.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

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