Lower cost per token for reasoning AI in production: Vera Rubin platform efficiency plus Dynamo’s distributed serving targets better throughput and more predictable unit economics for long-context reasoning.

Faster time to value with a pre-integrated stack: A full-stack approach reduces integration work and accelerates the path from first experiment to governed production deployment.

Higher GPU utilization from data ingest through inference: NetApp and DDN storage options are designed to remove bottlenecks and keep GPUs fed for RAG, post-training, fine-tuning, and high-volume inference.

Enterprise reliability, security, and data sovereignty: Vera Rubin-class systems are designed for enterprise security and resiliency, while Vultr supports controlled deployments (regional placement, governance) for sensitive data.

Co-engineered, Vera Rubin-optimized inference stack: Vera Rubin platform architecture plus NVIDIA open-source software designed to improve throughput, performance-per-watt, and cost per token for reasoning workloads.

Distributed inference orchestration with NVIDIA DYNAMO: Disaggregated prefill/decode, smart routing, and dynamic scheduling to balance latency and throughput at scale.

Open, customizable agentic AI foundation with NVIDIA NEMOTRON: Open models, datasets, and techniques for agentic workflows (coding, math, reasoning, tool calling) and efficient deployment across environments.

Validated data platforms to keep GPUs fed: NetApp for governed enterprise data management and hybrid pipelines; DDN for extreme throughput to reduce I/O bottlenecks.

Vera Rubin is positioned around “extreme co-design” across compute, networking, and security. This page describes the stack at a platform level; exact configurations and availability should be confirmed during solutioning.

Key platform elements:

• Six-chip rack-scale system design: Vera CPU, Rubin GPU, NVLink 6, ConnectX-9, BlueField-4, and Spectrum-X networking foundations.

• High-bandwidth scale-up and scale-out networking: Low-latency GPU-to-GPU communication plus predictable scale-out connectivity aligned with Vera Rubin platform requirements.

• NVIDIA Vera CPU: 88 custom Olympus cores designed for data movement and agentic processing.

• NVIDIA Rubin GPU: 50 petaflops of NVFP4 inference performance.

• NVIDIA BlueField-4 DPU: 128 GB memory for context management and acceleration.

• Spectrum-6 Ethernet: 100 Tb/s bisection bandwidth for rack-scale communication.