H100 PCIe on Hyperstack
Visit HyperstackHyperstack delivers the NVIDIA H100 PCIe GPU, equipped with 80GB HBM3 VRAM on the Hopper architecture, optimized for AI training, inference, data analytics, and HPC workloads. This enterprise-tier offering stands out through Hyperstack's commitment to 100% renewable energy, enabling sustainable high-performance computing without environmental trade-offs. Tailored for European enterprises, it ensures GDPR compliance via EU-based data centers, making it ideal for regulated industries pursuing green initiatives. Key value propositions include the AI Studio for streamlined generative AI workflows—from model fine-tuning to deployment—and flexible per-minute billing that suits bursty ML workloads. The H100's Transformer Engine accelerates large language models up to 9x faster than A100, handling massive datasets with features like FP8 precision and 3.35 TB/s memory bandwidth. ML engineers gain production-ready scalability, robust security, and cost efficiency, positioning this as a top choice for eco-conscious, compliance-focused AI deployments.
Why NVIDIA H100 PCIe on Hyperstack?
Choose Hyperstack for NVIDIA H100 PCIe when sustainability and compliance are priorities alongside top-tier performance. Hyperstack's 100% renewable energy infrastructure aligns with ESG goals, reducing carbon emissions for enterprise AI workloads. EU data centers guarantee GDPR adherence, crucial for European teams handling sensitive data. The AI Studio uniquely simplifies generative AI pipelines, integrating seamlessly with H100's Hopper capabilities like FP8 Tensor Cores for faster LLM training. Per-minute billing complements the GPU's high utilization potential, minimizing costs for variable workloads versus hourly models. Robust enterprise support and scalable clusters enhance the H100's 80GB VRAM for large-scale models, offering a balanced mix of ethics, regulation, and efficiency unmatched by many providers.
Live Pricing
Real-time NVIDIA H100 PCIe offers from Hyperstack
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $2.50/GPU/hr | Available | ||
Hyperstack | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 124 vCPU 720GB RAM 3300GB Storage | Canada | $2.50/GPU/hr $10.00/hr total (4×) | Sold Out | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $2.50/GPU/hr $20.00/hr total (8×) | Sold Out | ||
Hyperstack | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 360GB RAM 1600GB Storage | Canada | $2.50/GPU/hr $5.00/hr total (2×) | Sold Out | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $2.60/GPU/hr $20.80/hr total (8×) | Sold Out |
Performance Notes
The H100 PCIe on Hyperstack delivers NVIDIA's Hopper specs: 1979 TFLOPS FP16, 67 TFLOPS FP64, and 3.35 TB/s HBM3 bandwidth, excelling in Transformer Engine-accelerated AI tasks. Expect strong single-GPU performance for models up to 70B+ parameters in BF16. Multi-GPU scaling leverages NVLink (900 GB/s bidirectional) or Hyperstack's high-speed fabric, likely 200-400 Gbps InfiniBand RDMA for clusters. Fast NVMe storage supports high IOPS for datasets. Specific Hyperstack benchmarks are limited publicly; real-world throughput depends on config—standard H100 PCIe excels in distributed training but PCIe limits vs. SXM may cap some interconnect speeds. Verify with provider for latest metrics.
A provider focused on sustainable, enterprise-grade GPU acceleration using 100% renewable energy.
Best For
Unique Features
- 100% renewable energy
- AI Studio for generative AI workflows
VRAM
80GB
Architecture
Hopper
Tier
enterprise
Platform Features
Getting Started
Launching NVIDIA H100 PCIe on Hyperstack is user-friendly via their web dashboard. Enterprise users sign up, select configs with AI Studio integration, and deploy pre-optimized images. Per-minute billing activates on launch, supporting rapid iteration from prototyping to scaled AI workflows in GDPR-compliant EU regions.
Steps
- 1Sign up for Hyperstack account and complete enterprise verification.
- 2Access GPU catalog, select H100 PCIe instance with desired vCPU/RAM.
- 3Configure EU region, storage (NVMe), and networking options.
- 4Choose NVIDIA CUDA/Docker image and launch instance.
- 5Connect via SSH/Jupyter and deploy your ML workload.
Pro Tips
- Leverage AI Studio for automated LLM fine-tuning pipelines on H100 to accelerate generative AI development.
- Scale to 4-8 GPU clusters for optimal Hopper multi-node training efficiency.
- Track per-minute usage via dashboard alerts to control costs on long-running jobs.
Frequently Asked Questions
What is Hyperstack's billing model for NVIDIA H100 PCIe?▾
Hyperstack bills per-minute for GPU instances including NVIDIA H100 PCIe. Check their pricing page for the most current billing details.
Does Hyperstack offer spot instances for NVIDIA H100 PCIe?▾
No, Hyperstack 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 Hyperstack offer reserved instances for NVIDIA H100 PCIe?▾
Yes, Hyperstack 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 Hyperstack for current reserved pricing and commitment terms.
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