8x RTX Pro 6000 Blackwell Max-Q Bare Metal Server

Dedicated full-server bare metal GPU infrastructure for AI inference, rendering, and media production pipelines. 8 GPUs, 96 GB VRAM per GPU, 768 GB total GPU memory. Full-server rental only, no shared GPUs, no partitioned instances.

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.

Benchmark Your Workload >

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
12
MONTHS
24
MONTHS
8x RTX Pro 6000 Blackwell Max-Q
8x RTX Pro 6000 Blackwell Max-Q 96 GB vRAM
from
$1.34
from
$1.19
GPU
8x RTX Pro 6000 Blackwell Max-Q
SPECIFICATIONS
8x RTX Pro 6000 Blackwell Max-Q 96 GB vRAM
12 MONTHS
from
$1.34
24 MONTHS
from
$1.19
Who this server is for
This product is designed for teams running high-volume GPU workloads in production environments:
AI teams deploying large inference models
Research teams running distributed training
Media and VFX studios with continuous rendering or transcoding
Organizations requiring dedicated, private GPU infrastructure
Benchmark Your Workload >
Who this is not for
This is a full 8-GPU bare metal server. It is not the right fit for:
Individual developers or hobbyists needing a single GPU
Teams with no need for dedicated, isolated infrastructure
Teams with no need for dedicated, isolated infrastructure
If you need a single GPU or flexible on-demand access, explore our other GPU options.
Browse All GPUs >

What you get with RTX Pro 6000 Blackwell

Enterprise-Grade Compute Power

Handles demanding workloads with the performance required for production environments.

Versatile Across AI and Media Pipelines

Supports training, inference, rendering, and real-time video workflows.

shield checkmark

Built for Reliable Operations

Designed for long-running workloads with consistent output and infrastructure stability.

RTX Pro 6000 Blackwell Max-Q vs. H100 SXM 80GB

Per-GPU specs. Both available as dedicated 8-GPU bare metal servers on 1Legion

RTX Pro 6000 vs H100 SXM 80GB comparison: 96GB vs 80GB VRAM, $1.34 vs $1.99/GPU/hr, 24,064 vs 16,896 CUDA 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.

FAQ

Can I rent a single GPU?

keyboard_arrow_down

No. All 1Legion GPU instances are available as full bare metal servers only. Minimum rental is the complete 8-GPU machine, ensuring dedicated resources, full memory bandwidth, and no shared infrastructure.

What is the minimum rental period?

keyboard_arrow_down

Minimum commitment is 1 month. 12-month and 24-month terms are available at lower per-GPU-hour rates.

How is pricing calculated?

keyboard_arrow_down

Pricing is per GPU per hour, billed for the full 8-GPU server. There are no egress fees, no hidden storage charges, and no variable performance pricing.

How does this GPU compare to alternatives?

keyboard_arrow_down

Each 1Legion GPU instance page includes a detailed spec comparison against reference hardware. Pricing, VRAM, compute throughput, and workload fit vary by model, see the comparison table on each page for specifics.

Get Started with 1Legion

Tell us about your workload. Our team will match you with the right server configuration and reach out shortly.

Thank you

Thanks for reaching out. We will get back to you soon.
Oops! Something went wrong while submitting the form.