As AI models evolve beyond trillion-parameter scales, the industry demands extreme performance and capacity. Enter the NVIDIA H100 96GB PCIe OEM—the most powerful PCIe-based GPU ever created, combining Hopper architecture, 96GB of ultra-fast HBM3 memory, and FP8 precision acceleration to unlock performance levels never before possible in a PCIe form factor.
Built for Large Models, Backed by Real Numbers
With 96GB HBM3 onboard, this GPU is designed to handle:
GPT-4, Claude 3, Gemini 1.5, LLaMA 3-400B
Multi-modal LLMs and diffusion models (video, vision, voice)
Real-time, low-latency AI inference at scale
Enterprise-grade model fine-tuning (RAG, SFT, LoRA)
Key Specifications:
Memory: 96GB HBM3, bandwidth up to 3.35TB/s
Tensor Performance: Up to 4,000 TFLOPS (FP8) with Transformer Engine
Peak FP16 Performance: Over 2,000 TFLOPS
PCIe Interface: PCIe Gen5 x16
Architecture: NVIDIA Hopper (H100)
Performance Data:
In NVIDIA internal benchmarks, H100 96GB PCIe achieved:
Up to 3.5× faster GPT-J training vs. A100 80GB PCIe
2.6× higher LLM inference throughput vs. H100 80GB
Efficient multi-instance GPU (MIG) support, allowing secure AI-as-a-Service workloads on a single card
OEM Advantage: Same Power, Smarter Procurement
The H100 96GB PCIe OEM version delivers identical computational performance as retail models, but at a significantly lower TCO. Perfect for:
GPU server integrators
Cloud AI service providers
National labs and university clusters
AI chip benchmarking platforms
OEM Version Highlights:
100% brand-new GPUs
Bulk tray packaging or anti-static sealed units
Global compatibility (Supermicro, Dell, ASUS, Gigabyte platforms)
Flexible warranty (1–3 years based on volume)
Available for volume shipments
Use Cases: Extreme AI, Anywhere
LLM Training & Tuning – Finetune large models in-house, avoiding public cloud costs
AI Infrastructure Upgrade – Replace A100 nodes with 2–3× performance per watt
AI Inference-as-a-Service (AIaaS) – Serve thousands of sessions using MIG or containerized pipelines
Medical AI – Precision imaging, drug discovery, real-time diagnostics
Autonomous Systems – Multi-sensor fusion, simulation, and policy learning
“A single H100 96GB PCIe can match or outperform multiple A100s in transformer-based workloads—reducing cluster size, power use, and cost.” — NVIDIA, 2024 Whitepaper
