900-5G153-2200-000 Nvidia RTX PRO 6000 Blackwell 96GB GDDR7 GPU

Nvidia RTX PRO 6000 Blackwell 96GB GPU

The Nvidia 900-5G153-2200-000 RTX PRO 6000 Blackwell 96GB GDDR7 GPU is a high-performance graphics solution designed for advanced computing, artificial intelligence workloads, and professional visualization.

Main Information

• Brand Name: Nvidia
• Model Number: 900-5G153-2200-000
• Product Type: Graphics Card

Technical Specifications

Form Factor & Cooling

• Dual-slot design for efficient installation
• Active cooling with double-flow-through thermal solution

Interfaces & Controller

• PCI Express 5.0 x16 connectivity
• DisplayPort 2.1 outputs
• Graphics Controller: Nvidia RTX PRO 6000 Blackwell

Power & Compatibility

• Maximum energy consumption: 300W
• Supports Nvidia RTX Pro Sync

Advanced Features

Core Enhancements

• Fifth-generation Tensor Cores for AI acceleration
• DLSS 4 and FP4 optimized for maximum machine learning performance
• New streaming multiprocessors for improved throughput

Ray Tracing & Geometry

• Fourth-generation Ray Tracing Cores
• Optimized for RTX Neural Shaders
• Built for RTX Mega Geometry rendering

Video Capabilities

Graphics Processor

• Manufacturer: NVIDIA
• Supported APIs: DirectX 1, OpenCL 3.0, Vulkan 1.3, OpenGL 4.6, DirectCompute, Shader Model 6.6, CUDA 11.6

Resolution & Display

• Maximum external resolution: 7680 x 4320
• Supports up to 4 monitors simultaneously

Memory Details

Video Memory Technology

• Installed Size: 96GB
• Memory Type: GDDR7
• Data Width: 512-bit
• Bandwidth: 1792 GB/s

System Requirements

Processor Compatibility

• Intel Core i5, i7, i9, or Xeon processors
• AMD Ryzen or EPYC class processors

Expansion & Memory

• PCI Express 5.0 x16 slot preferred
• System memory equal to or greater than GPU memory
• Recommended: Twice the GPU memory for optimal performance

Additional Requirements

• Internet connection for driver installation
• Compatible display: DisplayPort 2.1 (preferred), HDMI, or DVI

Connectivity Options

Interfaces

• DisplayPort 2.1
• Quantity: 4 ports

PCI Express

• PCI Express 5.0 x16 interface

NVIDIA RTX PRO 6000 Blackwell Max-Q 96GB GPU Overview

The NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition represents a new class of ultra-high-end professional graphics processing units designed specifically for enterprise workstations, advanced AI development environments, and mission-critical visualization platforms. This category focuses on delivering extreme computational density, energy efficiency, and professional-grade reliability for users who demand uncompromising performance across simulation, rendering, data science, and real-time ray tracing workloads. Built on NVIDIA’s Blackwell architecture, this workstation GPU class is engineered to address the growing convergence of graphics, artificial intelligence, and high-performance computing within a single accelerator.

Workstation GPUs in this category are optimized for sustained performance under continuous workloads, offering certified drivers, extended memory capacity, and architectural features that ensure accuracy, stability, and predictability. The RTX PRO 6000 Blackwell Max-Q Workstation Edition with 96GB of ECC-enabled GDDR7 memory exemplifies the shift toward GPUs that serve as central compute engines rather than auxiliary graphics components. Its design prioritizes balanced throughput across CUDA cores, Tensor cores, and RT cores, enabling organizations to consolidate complex pipelines onto a single, power-efficient accelerator.

Blackwell Architecture and Professional Compute Foundations

The Blackwell architecture introduces a fundamental evolution in how professional GPUs handle parallel workloads, memory access, and mixed-precision computation. In this category, architectural refinements emphasize scalability, improved instruction-level efficiency, and advanced scheduling mechanisms that maximize utilization across tens of thousands of CUDA cores. The RTX PRO 6000 Blackwell Max-Q leverages these enhancements to deliver consistent performance in both graphics-intensive and compute-heavy professional applications.

At the core of the Blackwell design is a refined streaming multiprocessor layout that increases execution efficiency while reducing latency. This is particularly beneficial for workloads such as finite element analysis, fluid dynamics simulations, and large-scale data processing where predictable execution times are critical. The architecture also enhances support for concurrent workloads, allowing multiple professional applications to share GPU resources without performance degradation.

CUDA Core Density and Parallel Processing Capabilities

With 24,064 CUDA cores, this workstation GPU category is designed for massive parallelism. CUDA cores serve as the backbone of general-purpose GPU computing, enabling developers and engineers to accelerate complex algorithms across thousands of threads simultaneously. In professional environments, this level of core density translates into faster simulation cycles, reduced rendering times, and more responsive interactive workflows.

The high CUDA core count also supports advanced compute frameworks used in scientific research, quantitative finance, and engineering design. Applications that rely on linear algebra, matrix operations, and large-scale numerical methods benefit significantly from the raw parallel throughput offered by this class of GPU. The Blackwell architecture further enhances CUDA core efficiency by optimizing instruction pipelines and memory access patterns.

Tensor Core Advancements for AI and Machine Learning

The inclusion of 752 Tensor cores positions this GPU category as a powerful accelerator for artificial intelligence and machine learning workloads. Tensor cores are specialized processing units designed to accelerate matrix multiplication and deep learning operations at high efficiency. In professional workstations, they enable rapid training and inference of large neural networks directly on local hardware.

This workstation GPU class supports mixed-precision computation, allowing developers to balance performance and accuracy based on application requirements. Tensor cores accelerate tasks such as natural language processing, computer vision, recommendation systems, and generative AI workflows. The Blackwell architecture improves Tensor core flexibility, enabling broader support for emerging AI data types and frameworks while maintaining deterministic behavior essential for professional use cases.

RT Core Enhancements for Real-Time Ray Tracing

The presence of 188 RT cores underscores the importance of real-time ray tracing in modern professional workflows. RT cores are dedicated hardware units that accelerate ray traversal and intersection calculations, enabling physically accurate lighting, shadows, and reflections in real time. This capability is critical for industries such as architecture, automotive design, film production, and product visualization.

In this GPU category, RT core performance is optimized to handle complex scenes with high geometric complexity and large texture datasets. Professionals can work interactively with photorealistic models, reducing the need for lengthy offline rendering cycles. The Blackwell architecture enhances RT core efficiency, allowing ray tracing to coexist seamlessly with AI-driven denoising and traditional rasterization pipelines.

GDDR7 Memory Architecture and ECC Reliability

Memory capacity and reliability are defining characteristics of professional workstation GPUs. The RTX PRO 6000 Blackwell Max-Q category features 96GB of GDDR7 memory with error-correcting code support, addressing the needs of data-intensive applications and mission-critical workflows. GDDR7 technology delivers higher bandwidth and improved power efficiency compared to previous generations, enabling faster data transfer between the GPU and memory.

ECC memory support is essential in professional environments where data integrity cannot be compromised. By detecting and correcting memory errors in real time, ECC ensures that long-running simulations, AI training jobs, and visualization tasks produce accurate and repeatable results. This level of reliability distinguishes workstation-class GPUs from consumer-grade alternatives.

Large Memory Capacity for Complex Workloads

The 96GB memory capacity allows professionals to work with extremely large datasets directly in GPU memory. This is particularly valuable for applications such as large-scale 3D modeling, geospatial analysis, medical imaging, and AI model training. By minimizing the need to stream data from system memory or storage, this GPU category reduces bottlenecks and improves overall workflow efficiency.

Large memory pools also enable multi-application workflows where multiple datasets and models must coexist in memory. Designers and engineers can seamlessly switch between tasks without the overhead of reloading data, enhancing productivity and reducing downtime.

Memory Bandwidth and Latency Optimization

GDDR7 memory technology provides substantial improvements in bandwidth, enabling faster access to textures, geometry, and computational data. High memory bandwidth is crucial for maintaining performance as CUDA cores, Tensor cores, and RT cores operate concurrently. The Blackwell architecture further optimizes memory controllers to reduce latency and improve throughput under sustained workloads.

This optimized memory subsystem supports advanced caching strategies and prefetching mechanisms, ensuring that data is available when needed. For professional users, this translates into smoother interactive experiences and faster completion of compute-intensive tasks.

Max-Q Design Philosophy and Power Efficiency

The Max-Q designation reflects a design philosophy focused on delivering maximum performance within a constrained power envelope. With a maximum power consumption of 300W, this workstation GPU category balances raw computational capability with energy efficiency. This is particularly important for dense workstation deployments and environments where thermal and power constraints must be carefully managed.

Max-Q optimizations include advanced power management algorithms, voltage regulation improvements, and thermal-aware scheduling. These features allow the GPU to dynamically adjust performance based on workload characteristics, maintaining optimal efficiency without sacrificing responsiveness.

Thermal Management and Sustained Performance

Effective thermal management is critical for maintaining sustained performance in professional workloads. The RTX PRO 6000 Blackwell Max-Q category is designed to operate reliably under continuous load, with architectural features that minimize heat generation while maximizing computational output. Improved efficiency at the silicon level reduces thermal stress, extending component lifespan and ensuring consistent performance over time.

This focus on sustained performance is essential for industries that rely on long-running simulations, overnight rendering jobs, and continuous AI training processes. The GPU maintains stable clock speeds and predictable behavior even under extended workloads.

Energy Efficiency in Enterprise Workstations

Energy efficiency has become a key consideration in enterprise IT planning. By delivering extreme performance within a 300W power envelope, this GPU category enables organizations to deploy high-performance workstations without exceeding power or cooling budgets. This efficiency also contributes to lower operational costs and improved environmental sustainability.

The Max-Q approach ensures that performance scales intelligently with workload demands, avoiding unnecessary power consumption during lighter tasks while unleashing full capability when required.

Development Tools and API Support

The Blackwell-based workstation GPU category supports a wide range of APIs and development frameworks, enabling flexibility and innovation. Support for CUDA, OpenCL, Vulkan, and advanced graphics APIs allows developers to build and optimize applications for maximum performance. AI frameworks such as TensorFlow and PyTorch benefit from Tensor core acceleration, enabling rapid experimentation and deployment.

Comprehensive profiling and debugging tools help developers fine-tune performance and identify bottlenecks. This robust toolchain enhances productivity and ensures that applications can fully exploit the GPU’s capabilities.

Scalability and Future-Ready Design

This workstation GPU category is designed with scalability and future readiness in mind. The Blackwell architecture supports advanced interconnects and multi-GPU configurations, enabling performance scaling for the most demanding workloads. As applications evolve and data sizes increase, this GPU category provides the headroom necessary to accommodate future requirements.

By combining cutting-edge hardware with a mature software ecosystem, the RTX PRO 6000 Blackwell Max-Q Workstation Edition establishes a foundation for next-generation professional computing. Its design reflects a commitment to long-term value, reliability, and adaptability in an increasingly compute-driven world.