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NVIDIA B300s are coming to Hyperstack — On-Demand in August, reserved private clusters in Q4

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Reserve NVIDIA Vera Rubin NVL72 Capacity

Reserve full NVIDIA Vera Rubin NVL72 rack-scale systems to secure capacity for trillion-parameter AI workloads.

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Submit a Reservation Request

Submit your requirements to reserve capacity on the NVIDIA Vera Rubin GPU, including workload type, scale and expected timelines.

Why Reserve NVIDIA Vera Rubin NVL72 on Hyperstack

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Guaranteed Access to Next-Gen Compute

Demand for the NVIDIA Vera Rubin NVL72 is expected to exceed supply. Reservations ensure your workloads are not delayed.

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Lower Cost at Scale

Leverage NVIDIA Vera Rubin specs to achieve up to 1/4th training compute requirements and 1/10th inference cost for long-running workloads.

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Priority Deployment and Allocation

Reserved users receive early access to the NVIDIA Vera Rubin NVL72, reducing time-to-deployment for critical AI infrastructure.

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Transparent Usage and Billing

Track infrastructure usage, costs and allocation clearly through Hyperstack with full visibility across your deployments.

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Priority Engineering Support

Work directly with experts experienced in large-scale AI systems, distributed GPU workloads and performance optimisation.

Why Teams Choose NVIDIA Vera Rubin NVL72 on Hyperstack

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Compute Performance

Up to 3,600 PFLOPS NVFP4 inference performance delivers ultra-fast training and high-throughput inference.

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Massive Memory and Bandwidth

20.7 TB HBM4 memory with 1,580 TB/s bandwidth removes bottlenecks in large-scale AI training and inference workflows.

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Rack-Scale GPU Architecture

The Vera Rubin NVIDIA GPU scales across 72 CPUs with NVLink 6 for seamless multi-GPU performance and near-linear scaling.

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Agentic AI and Long Context

The NVIDIA Vera Rubin NVL72 is optimised for million-token context, real-time reasoning and next-generation AI agents

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Flexible Scaling

Deploy single or multi-GPU configurations easily to scale workloads based on demand without committing to expensive long-term infrastructure.

NVIDIA Vera Rubin NVL72 Technical Specifications

Configuration
72 NVIDIA Rubin GPUs | 36 NVIDIA Vera CPUs
NVFP4 Inference
3,600 PFLOPS
NVFP4 Training*
2,520 PFLOPS
FP8/FP6 Training*
1,260 PFLOPS
INT8*
18 POPS
FP16/BF16*
288 PFLOPS
TF32*
144 PFLOPS
FP32
9,360 TFLOPS
FP64
2,400 TFLOPS
FP32 SGEMM*
28,800 TFLOPS
FP64 DGEMM*
14,400 TFLOPS
GPU Memory | Bandwidth
20.7 TB HBM4 | 1,580 TB/s
NVLink Bandwidth
260 TB/s
NVLink-C2C Bandwidth
65 TB/s
CPU Core Count
3,168 custom NVIDIA Olympus cores (Arm® compatible)
CPU Memory
54 TB LPDDR5X
Total NVIDIA + HBM4 Chips
1,296
Configuration
72 NVIDIA Rubin GPUs | 36 NVIDIA Vera CPUs
NVFP4 Inference
3,600 PFLOPS
NVFP4 Training*
2,520 PFLOPS
FP8/FP6 Training*
1,260 PFLOPS
INT8*
18 POPS
FP16/BF16*
288 PFLOPS
TF32*
144 PFLOPS
FP32
9,360 TFLOPS
FP64
2,400 TFLOPS
FP32 SGEMM*
28,800 TFLOPS
FP64 DGEMM*
14,400 TFLOPS
GPU Memory | Bandwidth
20.7 TB HBM4 | 1,580 TB/s
NVLink Bandwidth
260 TB/s
NVLink-C2C Bandwidth
65 TB/s
CPU Core Count
3,168 custom NVIDIA Olympus cores (Arm® compatible)
CPU Memory
54 TB LPDDR5X
Total NVIDIA + HBM4 Chips
1,296

Secure NVIDIA Vera Rubin NVL72 Capacity

Lock in NVIDIA Vera Rubin NVL72 today and power every AI workload effortlessly.

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NVIDIA RTX A6000

Starting from $2.50 per hour

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Power the New Era of Generative AI

Build and run real-time inference on trillion-parametre large language models. Enable faster insights, more accurate models, and more efficient operations across a variety of fields.

Transform generative AI and accelerated computing in data processing, electronic design automation, computer-aided engineering and quantum computing. 

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Frequently Asked Questions

We build our services around you. Our product support and product development go hand in hand to deliver you the best solutions available.

What is the NVIDIA Vera Rubin platform?

The NVIDIA Vera Rubin platform is a rack-scale AI system combining GPUs, CPUs and networking to support large-scale AI workloads.

Who should reserve NVIDIA Vera Rubin NVL72?

Teams building LLMs, agentic AI systems and large-scale inference platforms should reserve early to avoid infrastructure bottlenecks.

What is the NVIDIA Vera Rubin superchip?

The NVIDIA Vera Rubin superchip integrates compute, networking and memory into a unified AI system optimised for performance at scale.

Is NVIDIA Vera Rubin suitable for inference workloads?

Yes, the Vera Rubin NVIDIA GPU is optimised for high-throughput, low-cost inference at scale.

How do I reserve NVIDIA Vera Rubin on Hyperstack?

Submit the reservation form to reserve NVIDIA Vera Rubin, and our team will secure your capacity based on your workload requirements.

Why should I reserve NVIDIA Vera Rubinearly?

Demand for the NVIDIA Vera Rubin architecture is expected to exceed supply, so early reservations ensure guaranteed access and faster deployment.

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