RTX 4000 Ada: dedicated GPU Infrastructure for AI & Media workloads

Run AI inference, rendering, and video pipelines on fully dedicated bare metal GPUs, with consistent performance and no shared resources.

Built for production, not shared GPU environments

Most cloud GPU offerings rely on shared infrastructure, where performance fluctuates depending on other workloads running on the same hardware.With 1Legion, RTX 4000 Ada runs on fully dedicated bare metal servers, giving you consistent throughput, full control over your environment, and reliable performance for AI inference, rendering, and media processing.

Transparent pricing designed for long-running workloads

No egress fees. No hidden storage costs. No unpredictable billing, just straightforward pricing that scales with your infrastructure

GPU

SPECIFICATIONS
1 MONTH
12
MONTHS
24
MONTHS
RTX 4000 Ada
from
$0.30
from
$0.27
from
$0.24
GPU
RTX 4000 Ada
SPECIFICATIONS
ON-DEMAND COST
1 MONTH
from
$0.30
12 MONTHS
from
$0.27
24 MONTHS
from
$0.24

What you actually get with RTX 4000 Ada

Optimized for AI Workloads

Built to handle inference and model execution with stable performance.

Efficient rendering performance

Delivers smooth processing for high-resolution rendering and visual pipelines.

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Balanced power & performance

Designed for demanding workloads with efficient energy and resource usage.

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 4000 Ada use cases

AI Inference & production workloads

Deploy real-time inference pipelines with stable latency and predictable performance, even as demand scales.

Rendering & VFX pipelines

Run high-resolution rendering workloads without bottlenecks or unexpected cost spikes during peak production cycles.

Media & Streaming workflows

Power encoding, transcoding, and AI-driven video pipelines with infrastructure designed for continuous operation.

Power your workloads with RTX 4000 Ada

Run AI inference, rendering, and media pipelines with consistent performance, predictable costs, and full control, without the limitations of shared cloud environments.

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