From the source
NVIDIA says its cloud partners across Europe, the Nordics, Africa and Central Asia are expanding regional compute capacity for model training and inference, giving developers infrastructure closer to their data.
- Nscale used the NVIDIA DSX Platform to coordinate power allocation with workload requirements, and in tests on NVIDIA GB300 NVL72 systems it demonstrated that NVIDIA DSX MaxLPS enabled 37% more GPUs and nearly 50% higher aggregate inference throughput within the same provisioned power budget.
- Nscale also plans to deploy NVIDIA Vera Rubin infrastructure for frontier-model training and production workloads across five European markets, while Crusoe is developing Spark, its liquid-cooled modular AI factories for the Vera Rubin platform, to bring Crusoe Cloud capacity closer to users for low-latency inference.
- For production inference, Nebius has adopted NVIDIA Groq 3 LPX, using Spectrum-X Ethernet networking to integrate it with Vera Rubin NVL72 on Nebius Token Factory, which the company says will bring faster token generation to latency-sensitive applications and agentic systems.
Baseten built a specialized code-review routing model with Nemotron 3.5 Lightning used by CodeRabbit, where supervised fine-tuning and reinforcement learning improved routing agreement from 75.8% to 80.7% while reducing estimated inference costs by 50% for the evaluated workload.
- Mistral is expanding its NVIDIA accelerated computing infrastructure, including Vera Rubin planned for delivery in 2027, and says Mistral Large 4 was trained on 3,800 NVIDIA Grace Blackwell GPUs in Mistral-operated European data centers.
