Harness the potential of AI at scale with on-demand GPUs and industry-leading hardware
Training AI/ML, GenAIand LLMs at scale requires infrastructure certainty. SPOCHUB delivers high-end GPU SuperPODs engineered for mission-critical workloads and consistent performance. Gartner projects global AI investment to reach $644 billion by 2025, with a major share directed to GPU-powered, high-performance infrastructure. Explore what’s possible on infrastructure built from real deployment experience.
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50B-parameter model in 10 days
and cut costs by 60%?
Training a 50B-parameter model on fragmented, non-elastic infrastructure stretched to 40+ days, spiked costs and couldn’t deliver the real-time inference researchers needed.
The lab shifted to NVL72 GPU SuperPODs with optimized containers, high-bandwidth NVLinkand managed MLOps, compressing training to 10 days, lowering costs by 60% and unlocking 30× faster inference with 4× quicker iteration cycles.
Blueprint in-house GPU clusters, high-density pods or isolated, regulated environments, built for scalability, compliance and cost control.
End-to-end lifecycle for NVIDIA (B200/B300/GB200/NVL72) rack design, high-speed networking, thermal planning and performance tuning.
Run AI on fully isolated, high-performance GPU clusters with guaranteed resources, compliance-ready controls and managed orchestration.
Execute large-scale training and distributed pipelines with elastic GPU clusters, low-latency interconnects, intelligent scheduling and unified operations.
Consume GPUs on demand like a utility, secure multi-tenant or dedicated pods, built-in orchestration, 24×7 monitoring and expert support.
The revolutionary Blackwell B200 architecture represents a quantum leap in AI compute capability
The complete Blackwell platform engineered for enterprise AI
The GB200 SuperChip combines Grace CPU and dual B200 GPUs with a revolutionary 896GB unified memory pool
The NVL72 represents an entire AI supercomputer in a single rack with 1.4 ExaFLOPS & 30 TB Unified Memory
B200, B300, GB200and NVL72 architectures deliver state-of-the-art performance for modern AI.
Train large models up to 4× faster than traditional infrastructure.
On-demand GPU pods that scale from prototype to production without re-architecture or bottlenecks.
Tier-III+ data centers with GDPR, HIPAAand industry compliance for sensitive workloads.
Specialized GPU infrastructure and tuning focused solely on AI—going beyond general-purpose clouds.
Pay-as-you-go and reserved models cut CAPEX, right-size usageand optimize spend for AI workloads.
