H100 PCIe on Ori
Visit OriOri provides the NVIDIA H100 PCIe GPU, equipped with 80GB HBM2e VRAM on the Hopper architecture, optimized for enterprise-grade AI training, inference, data analytics, and HPC workloads. This offering stands out due to Ori's focus on edge-to-cloud orchestration, enabling seamless multi-cloud and edge AI deployments. The H100 PCIe delivers breakthrough performance via its Transformer Engine, supporting FP8 precision for up to 4x faster large language model training compared to prior generations. Target audience includes ML engineers and data scientists managing distributed AI pipelines across clouds and edge devices. Key value propositions: per-second billing for granular cost control, cloud-to-edge platform architecture for low-latency hybrid workloads, and orchestration tools simplifying multi-cloud management. This combination empowers scalable, efficient AI operations without vendor lock-in, ideal for dynamic environments requiring high compute at the edge or in the cloud.
Why NVIDIA H100 PCIe on Ori?
Opt for Ori's NVIDIA H100 PCIe if your workflows demand multi-cloud orchestration and edge integration. Ori's cloud-to-edge platform uniquely complements the H100's Hopper architecture by enabling deployment of its 80GB VRAM and high-throughput compute across distributed nodes, from central clouds to remote edges. Per-second billing offers flexibility for bursty training or inference, minimizing costs versus hourly models. Strengths include native support for hybrid AI orchestration, reducing latency for real-time applications like autonomous systems or IoT analytics. This pairing excels for teams avoiding silos, providing H100's enterprise-tier performance (e.g., 3.35 petaFLOPS FP8) within a unified management layer, though custom networking may require verification.
Live Pricing
Real-time NVIDIA H100 PCIe offers from Ori
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Ori | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 120 vCPU 1520GB RAM 15410GB Storage | Lille | $2.90/GPU/hr $11.60/hr total (4×) | Sold Out | ||
Ori | NVIDIA H100 PCIe 80GB VRAM | 80GB | 30 vCPU 380GB RAM 3890GB Storage | Lille | $2.90/GPU/hr | Sold Out | ||
Ori | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 760GB RAM 7730GB Storage | Lille | $2.90/GPU/hr $5.80/hr total (2×) | Sold Out | ||
Ori | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 760GB RAM 7730GB Storage | 🌍global | $2.90/GPU/hr $5.80/hr total (2×) | Sold Out | ||
Ori | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 120 vCPU 1520GB RAM 15410GB Storage | 🌍global | $2.90/GPU/hr $11.60/hr total (4×) | Sold Out |
Performance Notes
On Ori, expect H100 PCIe baseline performance: 80GB HBM2e at 2 TB/s bandwidth, Hopper Transformer Engine for efficient FP8/INT8 AI workloads, and PCIe Gen5 for host connectivity. Multi-GPU scaling leverages Ori's orchestration for distributed training, potentially via NVLink alternatives in PCIe form. Network bandwidth and storage (e.g., NVMe options) details are limited publicly—assume cloud-standard 100-400 Gbps interconnects, but confirm for inter-node all-reduce. Edge deployments may trade peak throughput for lower latency. No independent benchmarks available; real-world FP16 training could hit 1-2 petaFLOPS effective, depending on software stack like CUDA 12+. Test via Ori's console for your workload.
A provider focused on edge-to-cloud orchestration for multi-cloud and edge AI.
Best For
Unique Features
- Cloud-to-Edge platform architecture
VRAM
80GB
Architecture
Hopper
Tier
enterprise
Platform Features
Getting Started
Launching NVIDIA H100 PCIe on Ori is streamlined through their intuitive cloud-to-edge dashboard. New users can spin up instances in minutes, configure orchestration for multi-cloud/edge, and scale AI workloads with per-second billing. Focus on selecting the right topology for hybrid setups.
Steps
- 1Sign up for an Ori account and complete identity verification for GPU access.
- 2Access the GPU marketplace in the dashboard and select NVIDIA H100 PCIe instance.
- 3Configure specs: vCPU, RAM, storage, network, and orchestration policies.
- 4Review per-second pricing, set billing limits, and deploy the instance.
- 5Connect via SSH/Jupyter, install NVIDIA drivers/CUDA, and validate with nvidia-smi.
Pro Tips
- Use Ori's orchestration templates to auto-scale H100 clusters across cloud and edge for cost-efficient training.
- Monitor per-second usage closely; pause idle instances to optimize bills for intermittent workloads.
- Integrate with Kubernetes via Ori's platform for seamless multi-GPU NCCL scaling in distributed jobs.
Frequently Asked Questions
What is Ori's billing model for NVIDIA H100 PCIe?▾
Ori bills per-second for GPU instances including NVIDIA H100 PCIe. Per-second billing ensures you only pay for exactly the compute time you use, which is particularly cost-effective for short experiments, iterative development, and workloads with variable duration.
Does Ori offer spot instances for NVIDIA H100 PCIe?▾
No, Ori does not currently offer spot instances for NVIDIA H100 PCIe. All instances are billed at on-demand rates. However, they do offer reserved instances for committed usage, which can provide significant discounts for long-term workloads.
Does Ori offer reserved instances for NVIDIA H100 PCIe?▾
Yes, Ori offers reserved instance pricing for NVIDIA H100 PCIe, which can provide significant discounts (typically 20-40% off on-demand rates) for committed usage periods. Reserved instances are ideal for predictable, long-running workloads like production inference services, ongoing training pipelines, or development environments that run continuously. Contact Ori for current reserved pricing and commitment terms.
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