RTX Pro 6000 Blackwell: enterprise GPU Infrastructure for AI & Media at scale

Run large-scale AI, rendering, and media pipelines on dedicated bare metal GPUs, with consistent performance and no shared resources.

Purpose-built for high-demand GPU workloads

The RTX Pro 6000 Blackwell is designed for high-demand workloads that require both performance and reliability at scale. Deployed on 1Legion’s dedicated bare metal infrastructure, it enables organizations to run AI training, inference, rendering, and real-time media pipelines with consistent throughput, predictable costs, and full control over their environment.

Transparent pricing built for long-running, high-performance workloads

No egress fees, no hidden storage costs, and no performance trade-offs, just predictable infrastructure that scales with your needs.

GPU

SPECIFICATIONS
1 MONTH
12
MONTHS
24
MONTHS
RTX Pro 6000 Blackwell Server
from
$1.49
from
$1.34
from
$1.19
GPU
RTX Pro 6000 Blackwell Server
SPECIFICATIONS
ON-DEMAND COST
1 MONTH
from
$1.49
12 MONTHS
from
$1.34
24 MONTHS
from
$1.19

What you get with RTX Pro 6000 Blackwell

Enterprise-scale

Performance Designed to handle large AI models and high-throughput workloads with stability.

Optimized for AI & Media pipelines

Built for training, inference, rendering, and real-time video processing.

shield checkmark

Reliable at scale

Consistent performance and infrastructure designed for continuous operation.

Benchmark Performance

The NVIDIA RTX 5090 sets a new benchmark in GPU performance, delivering up to 40% faster speeds in rendering, AI model training, and high-performance computing.

High-Performance Computing (HPC) & Scientific Simulations

The RTX 5090 is ideal for data scientists, engineers, and researchers, offering:

  • Higher FP32 & FP64 performance for data processing.

  • Optimized CUDA cores for computational efficiency.

Rendering & creative applications

For 3D rendering, animation, and video production , the RTX 5090 accelerates workflows with faster processing and improved efficiency.

  • 38% faster rendering times in Blender and V-Ray vs. RTX 4090.

  • Advanced hardware ray tracing for ultra-detailed lighting and textures.

AI & deep learning

Designed for AI model training, neural networks, and large-scale machine learning, the RTX 5090 features:

  • Enhanced tensor cores for faster deep learning inference.

  • DLSS 4 & AI acceleration for ultra-efficient computing power.

High-Performance Computing (HPC) & Scientific Simulations

The RTX 5090 is ideal for data scientists, engineers, and researchers, offering:

  • Higher FP32 & FP64 performance for data processing.

  • Optimized CUDA cores for computational efficiency.

Rendering & creative applications

For 3D rendering, animation, and video production , the RTX 5090 accelerates workflows with faster processing and improved efficiency.

  • 38% faster rendering times in Blender and V-Ray vs. RTX 4090.

  • Advanced hardware ray tracing for ultra-detailed lighting and textures.

AI & deep learning

Designed for AI model training, neural networks, and large-scale machine learning, the RTX 5090 features:

  • Enhanced tensor cores for faster deep learning inference.

  • DLSS 4 & AI acceleration for ultra-efficient computing power.

High-Performance Computing (HPC) & Scientific Simulations

The RTX 5090 is ideal for data scientists, engineers, and researchers, offering:

  • Higher FP32 & FP64 performance for data processing.

  • Optimized CUDA cores for computational efficiency.

Rendering & creative applications

For 3D rendering, animation, and video production , the RTX 5090 accelerates workflows with faster processing and improved efficiency.

  • 38% faster rendering times in Blender and V-Ray vs. RTX 4090.

  • Advanced hardware ray tracing for ultra-detailed lighting and textures.

AI & deep learning

Designed for AI model training, neural networks, and large-scale machine learning, the RTX 5090 features:

  • Enhanced tensor cores for faster deep learning inference.

  • DLSS 4 & AI acceleration for ultra-efficient computing power.

Technical Specifications

CUDA Cores
Tensor Cores
Architecture
FP16 Precision Support
FP8 Precision Support
Supported
Memory (VRAM)
Memory Bandwidth
Max Power Consumption
API & Framework Support
Virtualization Support
Ray Tracing Cores

RTX Pro 6000 Blackwell Server use cases

Broadcast, Streaming & Video

Real-time transcoding, playout, and low-latency streaming powered by the RTX Pro 6000 Blackwell.

AI Training & Inference

Train and deploy large models with consistent performance and predictable infrastructure behavior.

Rendering & VFX

Handle complex scenes, high-resolution rendering, and large-scale production workloads without bottlenecks.

Ready to Scale with RTX Pro 6000 Blackwell?

Run demanding AI and media workloads on dedicated GPU infrastructure designed for stability, performance, and cost predictability.

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