NVIDIA H100-POWERPACKED GPU

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Artificial intelligence is reshaping industries, and the NVIDIA H100 GPU is a key player in this transformation. Boasting 80GB of VRAM and advanced SXM5/PCle architectures, the H100 is built for demanding Al, machine learning, and high-performance computing tasks. As the need for Al infrastructure surges, a variety of cloud providers offer H100 GPU instances tailored to different use cases. This guide simplifies the complex landscape by comparing major and niche providers, highlighting their offerings, pricing, and features to help you select the best platform for your Al projects.

 

Why This Guide Matters

With options ranging from industry giants like AWS and Azure to innovative platforms like Akash Supercloud and Lambda Labs, choosing the right provider can be overwhelming.

We've organized this guide into clear categories, breaking down instance options, costs, locations, and unique benefits to make your decision easier.

 

 Overview of H100 GPU Cloud Providers

   We've grouped providers into five categories to streamline your search: 

•         Hyperscalers: Big-name providers with global infrastructure.

•         Al-Focused Providers: Specialists in Al and machine learning workloads.

•         Budget-Friendly Options: Affordable choices for cost-conscious users.

•         Region-Specific Providers: Localized options for low-latency access.

•         Specialized Providers: Unique offerings for specific needs.

 Each provider is evaluated based on:

•         Instance Options: Available GPU configurations.

•         Pricing: On-demand and contract rates.

•         Strengths: Standout features.

•         Limitations: Potential downsides.

 Let's explore the options!

 

Hyperscalers

These are the titans of cloud computing, offering vast resources and worldwide coverage.

 

Amazon Web Services (AWS) - EC2 PS Instances

•         Instance Options: Flexible setups from 1x H100 to 8x H100.

•         Pricing: Starts at $4.90/hour (on-demand) for 1x H100; $11.76/hour for 8x  H100 on a 6- month contract.

•         Locations: US East (N. Virginia), US West (Oregon), Europe (Frankfurt).

•         Strengths: Extensive global network, reliable support, integrates seamlessly        with AWS  ecosystem.

•         Limitations: Higher pricing, occasional H100 availability issues. AWS-Pricing

 

Microsoft Azure - ND H100 v5 VM

•         Instance Options: Robust 8x H100 setups.

•         Pricing: $2.50-$3.50/hour with 1- or 3-year contracts.

•         Locations: East US, West Europe, Southeast Asia.

•         Strengths: Tight integration with Azure ML, supports multiple OS options.

•         Limitations: Fewer regions, steep on-demand rates.

Comparison: AWS offers more configuration flexibility and broader reach, while Azure shines with ML integration and long-term cost savings. AZURE-Pricing

  Al-Focused Providers

These providers specialize in GPU instances optimized for Al and machine learning.

Lambda Labs

•         Instance Options: Scales from 1x H100 to 8x H100. 

•         Pricing: $3.29/hour for 1x H100, down to $2.99/hour for 8x H100 (on-demand).

•         Locations: US (California, Texas), Europe (Netherlands).

•         Strengths: Affordable, flexible, Al-tailored setups.

•         Limitations: Limited support, fewer compliance options. lambda-pricing

CoreWeave

•         Instance Options: Kubernetes-native 8x H100 environments.

•         Pricing: $49.24/hour for 8x H100 (on-demand).

•         Locations: US (New York, Nevada), Europe (Sweden).

•      Strengths: Excellent price-to-performance, Kubernetes support.

•         Limitations: No enterprise SLAs, restricted geographic scope. Coreweave_pricing

 

Hyperbolic Labs

•         Instance Options: H100 SXM and PCle configurations.

•         Pricing: Ranges from $0.99 to $2.50/hour.

 •         Strengths: Up to 75% faster training, open-source friendly.

 •         Limitations: Unclear location info, inconsistent pricing.

 Comparison: Lambda Labs offers cost-effective flexibility, CoreWeave excels with Kubernetes, and Hyperbolic Labs boosts performance but lacks transparency. hyperbolic-pricing

 

  Budget-Friendly Options

 Perfect for startups or smaller projects, these providers keep costs low.

Akash Supercloud

•       Instance Options: Decentralized 1x H100 instances.

 •         Pricing: $1.20/hour.

•         Locations: 31 global regions.

•       Strengths: Ultra-low cost, wide reach, censorship-resistant.

 •         Limitations: Limited enterprise features, variable GPU availability. akash-pricing

Vast.ai

•         Instance Options: Affordable H100 SXM setups.

•         Pricing: $1.59/hour for 1x H100, $17.07/hour for 8x H100.

•         Strengths: Low rates, scalable options.

•         Limitations: Minimal enterprise support, compliance gaps.vast-ai

Voltage Park

•        Instance Options: Budget H100 instances.

•         Pricing: $1.99/hour for 1x H100, $2.49/hour for 8x H100 (on-demand).

•         Strengths: Competitive on-demand pricing.

•         Limitations: Sparse contract and location details.

 Comparison: Akash Supercloud leads with the lowest price and global coverage, Vast.ai scales well, and Voltage Park offers simplicity at a fair rate. voltage-park-pricing

  Region-Specific Providers

These focus on specific areas for faster access.

E2E Cloud

•       Instance Options: India-based 1x to 8x H100 setups.

•         Locations: Multiple regions in India.

•         Pricing: From $2.08/hour for 1x H100 to $16.47/hour for 8x H100.

•         Strengths: Low-latency for APAC, free trial, no oversubscription.

•         Limitations: Limited beyond India, smaller presence. E2E-pricing

  Scaleway

•         Instance Options: Eco-friendly European data centers.

•         Pricing: $2.73/hour for 1x H100, $23.03/hour for 8x H100.

•         Locations: Europe (Paris, Amsterdam, Warsaw).

•     Strengths: Sustainable energy, GDPR compliance, startup credits.

•       Limitations: Europe-only, extra costs for storage/lPs.

 Comparison: E2E Cloud is great for APAC with a trial perk, while Scaleway serves Europe with green credentials at a higher cost. Scaleway-pricing

   Specialized Providers

These providers stand out with unique features.

   SF Compute

•         Instance Options: GPU clusters up to 4000 GPUs.

•         Pricing: Dynamic, e.g., $0.89/hour for 8x H100.

•         Strengths: Massive scalability, quick Kubernetes deployment.

•         Limitations: Complex pricing, limited lnfiniBand. SF COMPUTE

   Cirrascale

•        Instance Options: Clustered H100 setups.

•         Pricing: $2.49/hour for 8x H100 with 960GB NVMe.

•         Strengths: Cluster-optimized ,competitive rates.

•         Limitations: Location details unclear. Cirrascale-pricing

  OVHcloud

•         Instance Options: High-memory H100 instances.

•         Pricing: From $2.90/hour for 380GB memory.

•         Strengths: Ideal for memory-heavy tasks.

•         Limitations: Limited transparency on locations and compliance.

Comparison: SF Compute scales massively, Cirrascale optimizes clusters, and OVHcloud handles memory-intensive workloads. OVHCloud-pricing

 

        Key Takeaways

•         On a Budget? Vast.ai, Akash Supercloud, and Hyperbolic Labs deliver low-cost options with trade-offs in enterprise features.

•         Scaling Up? SF Compute and Cirrascale tackle huge workloads; Votta Shakti Cloud saves on long-term commitments.

•         Eco-Conscious? Scaleway, Datacrunch, and CUDO Compute prioritize renewable energy.

•         Location-Driven? E2E Cloud suits APAC, Scaleway Europe, and RunPod/Akash offer global reach.

•         Enterprise-Ready? AWS and Azure provide reliability and integration at a premium.

 

        How to Choose the Right Provider

      Match your needs to these priorities:

•         Budget: Opt for Vast.ai, Akash, Hyperbolic Labs, or Voltage Park for affordable rates.

•         Reliability: AWS, Azure, and Scaleway offer strong SLAs and compliance.

•         Scale: SF Compute, Coreweave and Cirrascale support large AU projects.

•         Latency: RunPod and Akash cover the globe, E2E Cloud excels in APAC, Scaleway     in Europe.

•         Sustainability: Scaleway, Datacrunch, and CUDO Compute focus on green energy.

   Conclusion

The H100 GPU cloud market is packed with choices, from budget-friendly platforms like Vast.ai and Akash to enterprise powerhouses like AWS and Azure. By weighing your workload size, budget, latency needs, and compliance requirements, you can pinpoint the ideal provider. Since pricing and availability shift often, check provider websites for the latest details. Here's to powering your next Al breakthrough!