PaleBlueDot AI has announced that its NVIDIA HGX B300 cluster has achieved NVIDIA Exemplar Cloud status for large-model training workloads. Working closely with NVIDIA's engineering team, the Company met NVIDIA's performance requirements across every benchmarking recipe, exceeding the 95% performance threshold across all tests.
PaleBlueDot AI achieves NVIDIA Exemplar Cloud status for HGX B300 cluster.
Exceeded 98% of NVIDIA reference performance across six training configurations.
Validated on DeepSeek-V3, GPT-OSS, Nemotron-H, Qwen3, and Llama 3.1 models.
800Gb/s non-blocking NVIDIA Quantum-X800 InfiniBand networking architecture.
Completed week-long continuous full-load stability test.
Founded in 2024, based in Silicon Valley.
NVIDIA established Exemplar Cloud in 2025 to address a real problem: running production-scale AI workloads is a data-center-scale challenge, requiring optimization across the entire infrastructure stack. Exemplar Cloud gives providers a standard benchmark to validate their infrastructure against, so buyers can compare against a standard rather than a claim. PaleBlueDot AI's benchmark campaign encompassed six mainstream large-model training workloads: DeepSeek-V3, GPT-OSS, Nemotron-H, Qwen3, and two distinct Llama 3.1 configurations. Every test run exceeded 98% of NVIDIA reference performance, with results holding across divergent model architectures, parameter scales, and numerical precision formats.
PaleBlueDot AI's Blackwell Ultra cluster is built on NVIDIA HGX B300 systems with eight NVIDIA Blackwell Ultra GPUs per compute node connected through NVIDIA NVLink. The cluster adopts an 800Gb/s non-blocking NVIDIA Quantum-X800 InfiniBand networking architecture, eliminating cross-node communication bottlenecks. Each GPU is equipped with a dedicated 800Gb/s high-speed network connection, providing aggregate compute-network bandwidth of up to 6.4 Tb/s per node. The cluster incorporates topology-aware scheduling, NVIDIA GPUDirect RDMA, collective communication optimization, and automatic isolation of unhealthy nodes.
"Achieving NVIDIA Exemplar Cloud status on NVIDIA HGX B300 is an important validation of the engineering discipline behind our AI infrastructure," said Stephen Watts, CEO of PaleBlueDot AI. "Customers need more than access to leading GPUs. They need predictable performance and sustained reliability at scale. We focus on optimizing the full stack, from compute, networking and storage to scheduling and operations, so customers can run their most demanding training workloads with confidence."
About PaleBlueDot AI
PaleBlueDot AI is a Silicon Valley-based AI Intelligence platform with a growing global footprint. The company delivers high-performance agentic AI infrastructure through a unified platform designed for enterprise-scale deployment. Guided by its mission to make intelligence universally accessible, PaleBlueDot AI enables organizations to build, deploy, and scale AI faster, better, and cheaper.
