NVIDIA B300: Extreme-Scale GPU Infrastructure for AI and High-Throughput Workloads

Run large-scale AI training and inference workloads on dedicated infrastructure built for extreme performance and scalability.

Designed for extreme-scale AI workloads

The NVIDIA B300 is built for organizations pushing the limits of AI training and large-scale compute. With enhanced throughput and optimized performance for next-generation workloads, it enables efficient execution of massive models and complex pipelines. On 1Legion’s dedicated bare metal infrastructure, it delivers consistent performance, full GPU access, and predictable scaling without shared resource constraints.

Transparent pricing for extreme-scale AI workloads

No egress fees, no hidden infrastructure costs, and no shared resource limitations, just dedicated infrastructure built for sustained performance.

GPU

SPECIFICATIONS
12
MONTHS
24
MONTHS
B300
8x B300 288 GB vRAM
from
$7.00
from
$6.00
GPU
B300
SPECIFICATIONS
8x B300 288 GB vRAM
12 MONTHS
from
$7.00
24 MONTHS
from
$6.00

What you get with NVIDIA B300

Extreme Compute Throughput

Delivers high-performance processing for large-scale training and inference.

Built for Massive AI Workloads

Supports complex models and distributed AI pipelines.

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Scalable for Continuous Operations

Ensures stable performance across large, long-running workloads.

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

NVIDIA B300 use cases

Massive AI model training

Train large models with high efficiency and scalability.

Distributed AI inference

Run inference workloads across large datasets and environments.

High-performance computing (HPC)

Execute simulations and compute-heavy workloads at scale.

B300 performance: built for extreme-scale workloads

Run large-scale AI and compute workloads on dedicated GPU infrastructure designed for maximum throughput, scalability, and reliability.

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