Rent B200 192GB
Compare live on-demand and spot rental prices across 97+ cloud providers. Latest Blackwell data center GPU. FP4 support, massive VRAM, 2nd-gen Transformer Engine.
Choosing the right billing model for B200 192GB
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
- Next-gen LLM training
- Ultra-large model inference
- Scientific simulation
B200 192GB — Specs & Benchmarks
Performance bars, compute tiers (FP32/FP16/BF16/FP8/INT8), memory specs, LLM model size guidance, and related GPU comparisons.
B200 192GB Rental Guide
A B200 rental is justified for workloads that need 192GB of fast HBM3e, extreme transformer throughput, or FP4-enabled serving and training. It is usually an enterprise decision rather than a way to reduce the cost of a model that already fits efficiently on H100, H200, or A100 hardware.
Use spot capacity for checkpointed training, scheduled batch inference, and data-processing runs that can tolerate scarce and interruptible supply. Reserve or use on-demand cluster capacity for production launches and latency-sensitive services, because B200 availability and topology are often more important than the posted hourly rate.
Compare whole-node economics, not only one-GPU pricing: NVLink 5.0 fabric, power density, and access to the required servers affect achievable scaling. H200 remains a more available choice for Hopper-compatible memory-bound work, while B200 is the better fit only when Blackwell precision modes and much higher throughput can be used.
Frequently Asked Questions
How much does it cost to rent a B200 192GB?
B200 192GB 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 B200 192GB?
The cheapest B200 192GB 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 B200 192GB?
With 192GB of HBM3e, the B200 192GB can run LLM models up to approximately 96B parameters at FP16, 192B at INT8, or 384B at INT4/GGUF quantization. Common workloads include: Next-gen LLM training, Ultra-large model inference, Scientific simulation. Latest Blackwell data center GPU. FP4 support, massive VRAM, 2nd-gen Transformer Engine.
Should I use on-demand or spot pricing for B200 192GB?
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 B200 192GB 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 B200 192GB's 3500 TFLOPS FP16 and 8000 GB/s bandwidth. The H100 is significantly more expensive — typically $2.50–$5.00/hr vs lower rates for the B200 192GB. For workloads that fit within 192GB and don't require FP8 precision, the B200 192GB often delivers better cost-per-token than the H100.
What is the memory bandwidth of the B200 192GB and why does it matter?
The B200 192GB has 8000 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 B200 192GB for Stable Diffusion or image generation?
Yes — the B200 192GB is well-suited for Stable Diffusion and image generation workloads. Image generation is primarily FP32 and FP16 compute-bound, and the B200 192GB's 80 TFLOPS FP32 throughput determines images-per-second. The 192GB 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.