Hyperbolic Labs is excited to announce that we now provide NVIDIA H200 GPUs available on demand for all your high-performance AI workloads at $2.65/hour. These cutting-edge GPUs deliver exceptional performance for large language models, diffusion models, and other compute-intensive AI applications. With 141GB of HBM3e memory and significantly improved performance over the H100, our H200 instances enable you to train larger models and process more data faster than ever before.
The H200 represents a significant upgrade over the H100, with nearly 80% more memory capacity (141GB vs 80GB) and approximately 40% higher memory bandwidth. This makes the H200 particularly well-suited for handling larger AI models and datasets without the performance penalties of memory swapping.
For generative AI workloads, the H200 delivers up to 1.9x faster inference on large language models compared to the H100. This performance boost is crucial for production environments where response time and throughput are critical metrics.
While both GPUs are built on NVIDIA's Hopper architecture, the H200 features enhanced 4th-generation Transformer Engine technology optimized specifically for transformer-based models.
Differences Between NVIDIA H200 and H100 GPUs
Here's a summary of the most important advantages the H200 offers over the H100:
Feature | H200 | H100 | Improvement |
---|---|---|---|
Memory Capacity | 141GB HBM3e | 80GB HBM3 | ~76% more memory |
Memory Bandwidth | 4.8 TB/s | 3.35 TB/s | ~43% faster memory access |
LLM Inference Speed | Up to 1.9x faster | Baseline | Nearly twice as fast for large models |
Energy Efficiency | Up to 50% less energy per inference | Baseline | Significantly lower operating costs |
Memory Technology | HBM3e | HBM3 | Latest generation memory |
MIG Instances | Up to 7 MIGs (~16GB each) | Up to 7 MIGs (~10GB each) | 60% larger MIG slices |
Transformer Engine | Enhanced 4th gen | Standard 4th gen | Optimized for transformer models |
Large Model Support | Supports larger models in memory | More memory swapping required | Better performance on multi-billion parameter models |
Throughput for FP8 | Same raw FLOPS, better sustained performance | Baseline | More efficient processing |
Context Length Handling | Better for long context windows | Limited by memory | Improved performance for extended contextszW |
Cloud Provider H200 GPU Pricing Comparison
Provider | On-Demand Price (per GPU/hr) | Configuration and Notes |
---|---|---|
Hyperbolic | $2.65 | 1 or 8xH200 bundle on demand |
Google Cloud (Spot) | $3.72 | 8×H200 bundle |
AWS | $4.33-$5.42 | 8×H200 bundle on-demand, post-savings |
Azure | $10.60 | 8×H200 bundle |
Oracle (OCI) | $10.00 | 8×H200 bundle |
At Hyperbolic Labs, we're offering NVIDIA H200 GPUs at pricing that is more affordable than major cloud providers. While hyperscalers like AWS and Azure charge around $10.60 per GPU hour, our price of $2.65/hour makes Hyperbolic up to 4x cheaper.
Unlike most providers who require you to commit to full 8×H200 GPU bundles, Hyperbolic Labs offers individual H200 GPUs with no minimum requirements. We provide the flexibility to use exactly what you need, whether that's a single H200 or multiple GPUs, at just $2.65 per hour per GPU.
This unique pricing model makes our H200s not only the most affordable in the market but also the most accessible for teams of all sizes. Whether you're a startup experimenting with large models or an enterprise running production workloads, our no-minimum, individual GPU access eliminates the waste of paying for unused compute resources while still providing the cutting-edge performance of H200s.
Start experimenting with H200s today at app.hyperbolic.ai or contact our team for GPU reservations and bulk needs.
About Hyperbolic
Hyperbolic is the on-demand AI cloud made for developers. We provide fast, affordable access to compute, inference, and AI services. Over 195,000 developers use Hyperbolic to train, fine-tune, and deploy models at scale.
Our platform has quickly become a favorite among AI researchers, including those like Andrej Karpathy. We collaborate with teams at Hugging Face, Vercel, Quora, Chatbot Arena, LMSYS, OpenRouter, Black Forest Labs, Stanford, Berkeley, and beyond.
Founded by AI researchers from UC Berkeley and the University of Washington, Hyperbolic is built for the next wave of AI innovation—open, accessible, and developer-first.
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