NVIDIA RTX PRO 6000 Blackwell Server Edition

Description

The NVIDIA RTX PRO 6000 Blackwell Server Edition is NVIDIA’s most powerful data center GPU built on the revolutionary Blackwell architecture. Designed to meet the demands of modern AI, scientific computing, and advanced visualization, this GPU delivers exceptional performance, scalability, and efficiency for mission-critical workloads across industries.

Performance Highlights

96 GB GDDR7 ECC Memory with 1.6 TB/s Bandwidth

The RTX PRO 6000 is equipped with 96 gigabytes of next-generation GDDR7 memory, offering error-correcting code (ECC) for data integrity and a bandwidth of 1.6 terabytes per second. This enables low-latency inference, faster data access, and the ability to process extremely large datasets and complex models without bottlenecks. It is ideal for large-scale AI workloads, scientific simulations, and high-resolution rendering.

24,064 CUDA Cores, 752 Tensor Cores (Gen 5), and 188 RT Cores (Gen 4)

This triple-core architecture delivers exceptional parallel processing capabilities. CUDA cores handle general-purpose compute tasks, while fifth-generation Tensor Cores accelerate deep learning operations with support for FP4 precision, significantly improving inference speed and efficiency. Fourth-generation RT Cores enhance ray-tracing performance, enabling real-time rendering of photorealistic scenes and complex geometries.

Peak FP4 AI Performance: Up to 4 PFLOPS

FP4 precision is optimized for inference in large language models and multimodal AI. With up to 4 petaFLOPS of FP4 compute, the RTX PRO 6000 can execute transformer-based models faster and with reduced memory usage, making it suitable for generative AI, retrieval-augmented generation (RAG), and real-time decision-making systems.

Single-Precision FP32 Performance: Up to 120 TFLOPS

For scientific computing, engineering simulations, and numerical analysis, FP32 remains the standard. The RTX PRO 6000 delivers up to 120 teraFLOPS of FP32 performance, supporting high-throughput workloads such as fluid dynamics, molecular modeling, and data-intensive analytics.

RT Core Performance: Up to 355 TFLOPS

Ray-tracing cores are essential for rendering realistic lighting, shadows, and reflections. With up to 355 teraFLOPS of RT performance, the GPU enables high-fidelity visualization, digital twin rendering, robotics simulation, and industrial design workflows. It supports RTX Mega Geometry, allowing up to 100 times more ray-traced triangles compared to previous generations.

Architectural Innovations

• Fifth-Generation Tensor Cores with FP4 Precision Deliver up to 5× faster inference for large language models (LLMs) while reducing memory footprint and compute overhead.
• Fourth-Generation Ray-Tracing Cores Support RTX™ Mega Geometry, enabling up to 100× more ray-traced triangles for physically accurate 3D environments and digital twins.
• Advanced Video Engines Includes 4× NVENC (Gen 9) and 4× NVDEC (Gen 6) with 4:2:2 encoding/decoding, optimized for real-time AI-enhanced video processing and streaming.
• DLSS 4 with Multi-Frame Generation Ensures ultra-smooth frame pacing and up to 3× faster frame rates in supported rendering engines and simulations.
• PCIe Gen 5 Interface Doubles bandwidth over Gen 4, unlocking faster data transfer between CPU and GPU for AI, HPC, and 3D modeling.
• Universal Multi-Instance GPU (MIG) Partition the GPU into up to four isolated instances with dedicated resources, enabling secure, concurrent execution of diverse workloads.

Target Workloads

Multimodal and Generative AI

Supports advanced AI models that process and generate content across multiple data types—text, image, audio, and video. Ideal for applications like chatbots, virtual assistants, and creative AI tools that require real-time inference and high throughput.

Retrieval-Augmented Generation (RAG)

Accelerates hybrid AI systems that combine large language models with external knowledge sources. Enables faster, more accurate responses in enterprise search, document summarization, and intelligent Q&A systems.

Scientific and Physical AI

Delivers the compute power needed for simulations, modeling, and AI-driven analysis in fields such as physics, chemistry, biology, and engineering. Supports workloads like molecular dynamics, fluid simulations, and predictive modeling.

Robotics Simulation and Digital Twins

Optimized for industrial automation and robotics workflows. Powers realistic simulation environments, synthetic data generation, and photorealistic rendering of digital twins for manufacturing, logistics, and smart infrastructure.

High-Fidelity Rendering and 3D Graphics

Enables real-time ray-traced rendering and complex 3D visualization for design, animation, architecture, and virtual production. Supports massive geometry and high-resolution scenes with minimal latency.

Video Encoding, Decoding, and Streaming

Equipped with next-gen NVENC and NVDEC engines for high-efficiency video processing. Ideal for live broadcast, content creation, and AI-enhanced video analytics with support for 4:2:2 workflows.

NVIDIA AI Enterprise and Omniverse Workflows

Fully compatible with NVIDIA’s enterprise software stack, including NIM microservices and AI Blueprints. Accelerates deployment of secure, scalable AI solutions and collaborative 3D workflows across industries.

Technical Specifications

Industrial Applications

With NVIDIA Omniverse™ integration, the RTX PRO 6000 accelerates development of physical AI applications such as:

• Robotics simulation
• Synthetic data generation
• Photorealistic rendering of digital twins