Eneterprise AI AND RENDERING — REDEFINEDRTX Pro 6000
owered by NVIDIA’s Ada Lovelace architecture, the RTX Pro 6000 brings workstation-class GPU performance into QumulusAI’s enterprise cloud. With 96 GB GDDR6 vRAM, accelerated ray-tracing cores, and fourth-generation Tensor Cores for AI and simulation, it delivers the perfect balance of precision and performance for high-throughput inference, visualization, and content generation.
RTX Series Performance Highlights
96 GB
GDDR6 vRAM per GPU for complex scene rendering, large-context inference, and simulation workloads.
Up to 2x
Faster AI inferencing vs. previous-generation Ada Lovelace GPUs
4th Gen
Tensor Cores + 3rd Gen RT Cores for next-gen AI rendering and simulation.
FP32
Throughput for visualization, digital twin development, and design automation.
QumulusAI Server Configurations with NVIDIA RTX Pro 6000 GPUs
Our RTX servers are engineered for agile, creative, and compute-forward environments—ideal for AI exploration, edge deployments, or hybrid use cases that require flexibility and power without overcommitment.
GPUs Per Server
8 × NVIDIA RTX Pro 6000 GPUs
System Memory
1152 GB DDR5
@ 6400 MHz
CPU
2 × Intel Xeon Platinum 8562Y+ (32 Cores / 64 Threads) | 2.8 GHz (base) / 3.9 GHz (boost)
Storage
15 TB NVMe SSD
vCPUs
Up to 128
virtual CPUs
Interconnects
PCIe Gen 5 + NVLink Bridge (64 GB/s bidirectional)
Ideal Use Cases
High-Throughput Inference and Optimization
Run production-scale inference across transformer and diffusion models with exceptional cost efficiency. The RTX Pro 6000 delivers high FP8 and FP16 performance for low-latency AI applications and real-time response systems.
3D Rendering and Digital Content Creation
Leverage real-time ray tracing and AI-accelerated rendering for film, architecture, and industrial design pipelines. Perfect for teams using Omniverse, Blender, Unreal, or custom 3D engines in cloud production environments.
Simulation and Digital Twin Development
Power complex simulation workloads in manufacturing, aerospace, and autonomous vehicle training. With Ada Lovelace efficiency and precision FP32 cores, the RTX Pro 6000 offers a balance of speed, accuracy, and energy efficiency for real-world modeling.
Why Choose QumulusAI?
Guaranteed
Availability
Secure dedicated access to the latest NVIDIA GPUs, ensuring your projects proceed without delay.
Optimal
Configurations
Our server builds are optimized to meet and often exceed industry standards for high performance compute.
Support
Included
Benefit from our deep industry expertise without paying any support fees tied to your usage.
Custom
Pricing
Achieve superior performance without compromising your budget, with custom predictable pricing.