NVIDIA RTX PRO 6000 Blackwell Workstation Edition (96GB)

When a single professional GPU has to carry an entire AI pipeline, a CAD department, or a VFX render queue, the NVIDIA RTX PRO 6000 Blackwell Workstation Edition is the card built for that job. It is NVIDIA’s flagship professional GPU, pairing the full Blackwell GB202 die with a class-leading 96GB of ECC-protected GDDR7 — enough memory to hold entire large language models, massive point clouds, or feature-film-resolution scenes without offloading to system RAM. For studios, labs, and engineering teams that need workstation-class reliability and datacenter-class capacity in a single desktop tower, this is the card to build around.

Key Features

• Full Blackwell GB202 die — 24,064 CUDA cores across 188 streaming multiprocessors, the largest professional Blackwell configuration NVIDIA ships, built on TSMC’s 4NP process for maximum throughput per watt.
• 96GB GDDR7 with ECC — the largest memory pool of any NVIDIA workstation GPU, on a 512-bit bus, with error-correcting code protection for mission-critical simulation and inference workloads where a single flipped bit is unacceptable.
• 1,792GB/s memory bandwidth — feeds the compute cores fast enough for real-time AI inference, complex fluid and structural simulation, and multi-layer 8K compositing without bottlenecking.
• 752 fifth-generation Tensor Cores — deliver up to 4,000 AI TOPS (FP4 with structured sparsity) and native FP4 precision support, a Blackwell-exclusive capability that dramatically accelerates modern LLM inference and fine-tuning.
• 188 fourth-generation RT Cores — hardware-accelerated ray and path tracing for production rendering, architectural visualization, and real-time look development.
• 125 TFLOPS FP32 — strong general compute performance for CAD, simulation, and scientific workloads that lean on single-precision math.
• 600W configurable TDP — a single 16-pin PCIe CEM5 power connector, with power tunable by system integrators to balance thermals, acoustics, and density in workstation or server chassis.
• Quad DisplayPort 2.1b outputs — drive up to four high-resolution displays (including 8K panels) from a single card, ideal for multi-monitor CAD and content-creation setups.

Built for AI, Rendering, and Simulation at Scale

The RTX PRO 6000 Blackwell Workstation Edition exists to remove the memory ceiling that forces AI teams into multi-GPU setups or cloud rentals just to fit a model. With 96GB on a single card, you can run 70B-parameter LLMs locally in reduced precision, fine-tune mid-size models without gradient checkpointing gymnastics, or hold multiple diffusion and vision models resident at once for production pipelines. The native FP4 support in its fifth-generation Tensor Cores is a genuine architectural advance over the previous RTX 6000 Ada generation, not just a clock-speed bump — it means inference throughput on quantized modern LLMs scales well beyond what the raw CUDA core count alone would suggest.

For rendering and visualization teams, the combination of 188 RT cores, 96GB of frame buffer, and CUDA’s mature ecosystem means V-Ray, Arnold, Octane, Redshift, and OptiX-based renderers can hold entire film-resolution scenes — geometry, textures, and simulation caches — in GPU memory simultaneously, cutting out the disk-streaming stalls that plague lower-memory cards on the heaviest shots. Engineering and scientific users get the same benefit for CFD, FEA, and digital-twin simulation, where dataset size, not raw FLOPS, is usually the limiting factor.

This is a professional card, not a gaming GPU wearing a workstation badge — it ships with NVIDIA’s Studio and RTX Enterprise driver branches, is validated against major CAD, DCC, and AI frameworks, and carries the ECC memory protection that regulated and mission-critical workloads require. Compared against running the equivalent workload across multiple consumer GPUs, the RTX PRO 6000 Blackwell simplifies the software stack considerably: no manual model sharding, no NVLink bridge management, just one card with more addressable memory than most workstations’ entire RAM. At 600W and dual-slot, it also drops into standard workstation chassis without the multi-card cooling and power headaches of a datacenter GPU build. If your bottleneck is VRAM — whether that’s a language model that won’t fit, a scene that keeps swapping to disk, or a simulation mesh you’ve had to decimate just to make it run — this is the card that removes that ceiling in one upgrade.

Specifications

• Architecture: NVIDIA Blackwell (GB202, full die), TSMC 4NP
• CUDA Cores: 24,064
• Tensor Cores: 752 (5th-generation, native FP4)
• RT Cores: 188 (4th-generation)
• Memory: 96GB GDDR7 with ECC, 512-bit bus
• Memory Bandwidth: 1,792GB/s
• FP32 Compute: 125 TFLOPS
• AI Performance: Up to 4,000 AI TOPS (FP4 sparse)
• Power: 600W configurable TDP, 1x 16-pin PCIe CEM5 connector
• Interface: PCIe 5.0 x16
• Display Outputs: 4x DisplayPort 2.1b
• Form Factor: Dual-slot, workstation blower
• Launch: March 2025, MSRP $8,565