Rent H200 SXM 141GB
Compare live on-demand and spot rental prices across 97+ cloud providers. SXM5 form factor H200. Same compute as H100 SXM5 but with 141GB HBM3e — 76% more VRAM and 43% more bandwidth. Best for memory-bound workloads.
Choosing the right billing model for H200 SXM 141GB
Provision and terminate at any time. Ideal for development, short experiments, and workloads with unpredictable duration.
Instances can be reclaimed when demand spikes. Best for fault-tolerant batch jobs, training with checkpointing, and preprocessing.
Lock in a rate for 1–3 months. Right for sustained production inference or long training runs where cost predictability matters.
Best use cases
- 70B+ model inference
- Memory-bound LLM serving
- Large context windows
H200 SXM 141GB — Specs & Benchmarks
Performance bars, compute tiers (FP32/FP16/BF16/FP8/INT8), memory specs, LLM model size guidance, and related GPU comparisons.
H200 SXM 141GB Rental Guide
Renting the H200 SXM 141GB makes sense when your workload requires 141GB of HBM3e memory and 1979 TFLOPS of FP16 compute. The most common use cases are 70B+ model inference, Memory-bound LLM serving, Large context windows. Before committing to a rental, verify that your model and batch size fit within 141GB — a 70B parameter model requires approximately 140GB at FP16, which would require two H200 SXM 141GB instances with tensor parallelism.
For fault-tolerant batch workloads — preprocessing, offline inference, or training with checkpointing — spot instances typically save 40–70% vs on-demand rates. The H200 SXM 141GB's 141GB VRAM makes it well-suited for long-running batch jobs where interruption recovery is manageable. On-demand instances give you full control with no commitment — ideal for development, short experiments, and workloads with unpredictable duration. Most providers bill per second or per minute, so short jobs are not penalized by hourly minimums.
For sustained production inference serving, reserved instances (1–3 month commitments) typically offer 20–35% savings vs on-demand. The H200 SXM 141GB's high throughput makes it cost-effective for high-volume inference where per-token cost matters. When comparing providers, look beyond the headline hourly rate: check region availability (latency matters for interactive inference), spot interruption frequency, and whether the provider offers per-second billing. Use the GPU cost calculator to model total cost across different billing models and utilization rates before choosing a provider.
Frequently Asked Questions
How much does it cost to rent a H200 SXM 141GB?
H200 SXM 141GB on-demand rental prices vary by provider and region. On-demand rates typically range based on availability and provider margins — use the comparison table above to see current live rates across all providers. Spot instances are generally 40–70% cheaper than on-demand but can be interrupted. Monthly cost estimates (hourly rate × 730 hours) are shown in the table for sustained workloads.
Which cloud provider has the cheapest H200 SXM 141GB?
The cheapest H200 SXM 141GB provider changes as providers update their pricing. The comparison table above shows live rates sorted by price, so the cheapest option is always at the top. Factors beyond headline price include region (latency to your users), availability (high/medium/low), and billing granularity (per-second vs per-hour minimums).
What can I run on a H200 SXM 141GB?
With 141GB of HBM3e, the H200 SXM 141GB can run LLM models up to approximately 70B parameters at FP16, 141B at INT8, or 282B at INT4/GGUF quantization. Common workloads include: 70B+ model inference, Memory-bound LLM serving, Large context windows. SXM5 form factor H200. Same compute as H100 SXM5 but with 141GB HBM3e — 76% more VRAM and 43% more bandwidth. Best for memory-bound workloads.
Should I use on-demand or spot pricing for H200 SXM 141GB?
Spot instances save 40–70% vs on-demand but can be interrupted when the provider needs capacity back. Use spot for: batch inference jobs, training runs with checkpointing, preprocessing pipelines, and any workload that can tolerate interruption and restart. Use on-demand for: production inference serving, interactive workloads, and jobs that cannot be interrupted. Most providers bill per second, so short on-demand jobs are not penalized by hourly minimums.
How does the H200 SXM 141GB compare to the H100 for cloud rental?
The H100 80GB delivers 1,979 TFLOPS FP16 with 3,350 GB/s HBM3 bandwidth, compared to the H200 SXM 141GB's 1979 TFLOPS FP16 and 4800 GB/s bandwidth. The H100 is significantly more expensive — typically $2.50–$5.00/hr vs lower rates for the H200 SXM 141GB. For workloads that fit within 141GB and don't require FP8 precision, the H200 SXM 141GB often delivers better cost-per-token than the H100.
What is the memory bandwidth of the H200 SXM 141GB and why does it matter?
The H200 SXM 141GB has 4800 GB/s of memory bandwidth. For LLM inference, memory bandwidth is often more important than raw TFLOPS — each autoregressive token generation reads the full model weight matrix from VRAM, so bandwidth directly determines tokens-per-second throughput. Higher bandwidth means faster inference for the same model at the same batch size. For batch inference (processing many requests simultaneously), compute throughput becomes more important.
Can I use the H200 SXM 141GB for Stable Diffusion or image generation?
Yes — the H200 SXM 141GB is well-suited for Stable Diffusion and image generation workloads. Image generation is primarily FP32 and FP16 compute-bound, and the H200 SXM 141GB's 67 TFLOPS FP32 throughput determines images-per-second. The 141GB VRAM fits SDXL (requires ~6GB) and most ControlNet pipelines. For high-throughput image generation at scale, compare cost-per-image across providers using the GPU cost calculator.