The 2U HGX Rubin NVL8 system provides the densest and most flexible HGX platform; and the first HGX platform to offer greater flexibility in CPU selections including @nvidia Vera CPUs alongside next-generation @AMD and @intel x86 processors. Join Alok at @NVIDIAGTC Berlin as he gives a live presentation from the booth. Learn more: #GTCBerlin# #NVIDIAGTC# #NVL8# #HGX#

$NBIS earned $NVDA Exemplar Cloud validation for HGX B300 training after posting the fastest single node results in two MLPerf benchmarks. HGX B300 performed within ~11% of GB300 NVL72 on those workloads giving Nebius more flexibility to deploy high performance compute without relying entirely on rack scale systems. That is how Nebius moves toward delivering better performance and infrastructure efficiency for AI customers.

IREN has achieved @nvidia Exemplar Cloud status on NVIDIA HGX B300 for training workloads. This status confirms that IREN's infrastructure performs within NVIDIA's reference performance targets across its full suite of benchmarking recipes, validated against NVIDIA reference architecture. "IREN's achievement of NVIDIA Exemplar Cloud status reflects deep engineering collaboration between our teams and the quality of infrastructure behind IREN's AI Cloud, giving enterprises confidence to run their most demanding training workloads at scale." — Warren Barkley, VP Product Management, NVIDIA Read full blog:

New benchmark results from @weka and Nebius show the impact of shared KV caching on sustained agentic inference. Running on @nvidia HGX B300 instances in Nebius AI Cloud, WEKA’s Augmented Memory Grid served 2.4× more requests than HBM-only while keeping median time to first token near one second. Worth a read for anyone working through the infrastructure demands of long-context agents: