H100 NVL on Atlantic.net
Visit Atlantic.netAtlantic.net delivers the NVIDIA H100 NVL GPU, featuring 94GB of HBM3 VRAM on the Hopper architecture, tailored for enterprise-grade AI and HPC workloads requiring massive memory and compute. This combination stands out due to Atlantic.net's veteran status in IaaS, with a focus on regulated industries like healthcare via HIPAA-compliant hosting. Their bare-metal delivery model eliminates virtualization overhead, unlocking the H100 NVL's full potential in large-scale model training, inference, and simulations. Key value propositions include a 100% uptime SLA for mission-critical reliability, hourly billing for cost-efficient scaling, and long-term stability suited for enterprises prioritizing performance over fleeting cloud trends. Ideal for ML engineers in healthcare or finance handling sensitive data with exascale ambitions, this offering provides raw Hopper power—up to 4 petaFLOPS FP8—in a compliant, stable environment without the lock-in of hyperscalers.
Why NVIDIA H100 NVL on Atlantic.net?
Choose Atlantic.net for NVIDIA H100 NVL if you need bare-metal deployment to maximize the GPU's 94GB VRAM and NVLink interconnect for multi-GPU scaling without hypervisor penalties. Their enterprise focus shines in HIPAA-compliant setups for healthcare AI, ensuring data sovereignty and compliance absent in many GPU clouds. The 100% uptime SLA guarantees reliability for production workloads, complemented by hourly billing that aligns with bursty ML training cycles. Atlantic.net's pivot to HPC leverages veteran infrastructure for stable, high-bandwidth networking and storage, perfectly suiting the H100 NVL's demands for memory-intensive tasks like LLMs or genomics. This combo offers raw performance with regulatory peace of mind, outperforming virtualized alternatives in sustained throughput.
Live Pricing
Real-time NVIDIA H100 NVL offers from Atlantic.net
No offers currently available for NVIDIA H100 NVL on Atlantic.net.
View NVIDIA H100 NVL from all providersPerformance Notes
On Atlantic.net's bare-metal H100 NVL, expect peak Hopper performance: ~4 PFLOPS FP8, 3.35 TB/s memory bandwidth, optimized for transformer models and large-batch training via 94GB VRAM. NVLink enables efficient multi-GPU configs for scaling to clusters. Enterprise-grade networking (likely 100-400Gbps) supports distributed training, though exact bandwidths are provider-specific and unconfirmed publicly. High-performance storage options like NVMe SSDs pair well for datasets, but I/O throughput details are limited—benchmarking advised. No virtualization tax ensures near-card spec sheets, but real-world perf depends on workload; strong for inference/HPC, excellent scaling known from Hopper benchmarks. Unknowns include custom interconnect latencies—test for your use case.
A veteran in the infrastructure-as-a-service market focusing on enterprise-class infrastructure with a pivot into high-performance computing for regulated industries.
Best For
Unique Features
- 100% uptime SLA
- Bare-metal delivery model
VRAM
94GB
Architecture
Hopper
Tier
enterprise
Platform Features
Getting Started
Launching NVIDIA H100 NVL on Atlantic.net is straightforward via their enterprise portal, emphasizing bare-metal speed and compliance. New users can deploy HIPAA-ready instances in minutes, with hourly billing starting post-launch. Focus on selecting NVLink-optimized configs for AI workloads.
Steps
- 1Create an Atlantic.net account and verify for enterprise access (HIPAA if needed).
- 2Log in to the control panel and navigate to 'GPU Cloud' or 'HPC Instances'.
- 3Select NVIDIA H100 NVL configuration, choose node count, storage, and network options.
- 4Review hourly pricing, add SSH keys or compliance settings, then deploy the instance.
- 5Connect via SSH or VNC; install CUDA 12+ and frameworks like PyTorch for workloads.
Pro Tips
- Leverage bare-metal for NVLink multi-GPU; use NCCL for optimal distributed training scaling.
- Enable HIPAA mode during setup for healthcare data; pair with their block storage for fast I/O.
- Monitor via Atlantic.net dashboards; scale down hourly to control costs during prototyping.
Frequently Asked Questions
What is Atlantic.net's billing model for NVIDIA H100 NVL?▾
Atlantic.net bills per-hour for GPU instances including NVIDIA H100 NVL. Hourly billing means you pay for full hours even if your job completes mid-hour. Plan your workloads accordingly to maximize cost efficiency.
Does Atlantic.net offer spot instances for NVIDIA H100 NVL?▾
No, Atlantic.net does not currently offer spot instances for NVIDIA H100 NVL. 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.
How can I access NVIDIA H100 NVL instances on Atlantic.net?▾
Atlantic.net provides access to NVIDIA H100 NVL instances via SSH, programmatic API, Docker containers. SSH access gives you full control over the instance for custom configurations and production deployments. API access enables automation and integration with your existing ML pipelines and CI/CD workflows.
What compliance certifications does Atlantic.net have for NVIDIA H100 NVL workloads?▾
Atlantic.net maintains SOC 2, HIPAA, GDPR certifications, making it suitable for regulated workloads. HIPAA compliance is particularly important for healthcare and medical AI applications. SOC 2 certification demonstrates strong security controls for handling sensitive data. Contact Atlantic.net directly for detailed compliance documentation and BAA agreements if needed.
Can I use NVIDIA H100 NVL with Kubernetes on Atlantic.net?▾
Atlantic.net does not prominently advertise native Kubernetes support. You may need to manage your own Kubernetes cluster or use alternative orchestration methods. However, they do support Docker containers, which can be a stepping stone to container orchestration.
What are the specifications of the NVIDIA H100 NVL?▾
The NVIDIA H100 NVL features 94GB of high-bandwidth memory, built on NVIDIA's Hopper architecture. As an enterprise-tier GPU, it's designed for large-scale AI training, inference at scale, and demanding HPC workloads. The substantial VRAM capacity supports large language models, complex neural networks, and multi-model deployments.
What workloads is NVIDIA H100 NVL on Atlantic.net best suited for?▾
The NVIDIA H100 NVL on Atlantic.net is well-suited for large-scale AI/ML training, LLM fine-tuning, batch inference at scale, and high-performance computing workloads. Atlantic.net specifically excels at: Healthcare organizations requiring HIPAA-compliant GPU hosting; Enterprises seeking raw performance of bare metal with long-term stability. Consider your model size, training data volume, and latency requirements when evaluating this combination for your specific use case.
Does Atlantic.net offer reserved instances for NVIDIA H100 NVL?▾
Yes, Atlantic.net offers reserved instance pricing for NVIDIA H100 NVL, 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 Atlantic.net for current reserved pricing and commitment terms.
What unique features does Atlantic.net offer for NVIDIA H100 NVL?▾
Atlantic.net differentiates itself with: 100% uptime SLA; Bare-metal delivery model. These features may provide advantages depending on your specific workflow requirements and technical needs. Evaluate how these capabilities align with your ML infrastructure goals when making your decision.
How do I get started with NVIDIA H100 NVL on Atlantic.net?▾
To get started with NVIDIA H100 NVL on Atlantic.net, visit https://cloud.atlantic.net/r/t3hjjhja?utm_source=gpuperhour&utm_medium=referral to create an account. Most providers offer a straightforward signup process, and some provide initial credits for new users. Once registered, you can typically launch a NVIDIA H100 NVL instance within minutes through their dashboard or API. We recommend starting with a small experiment to familiarize yourself with the platform before scaling up to larger workloads.
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