Vultr192GB VRAMBlackwellenterprise

B200 SXM on Vultr

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Vultr's NVIDIA B200 SXM offering delivers the Blackwell architecture's flagship performance to a globally distributed cloud platform spanning 32+ regions. Featuring 192GB of HBM3e VRAM, this enterprise-tier GPU excels in demanding AI training, large language model inference, and HPC simulations, offering up to 2.5x higher performance than prior generations in key workloads. This combination stands out for ML engineers seeking low-latency global deployments without vendor lock-in. Key value propositions include per-hour billing for flexible, cost-effective scaling; seamless integration with Vultr's ecosystem like managed Kubernetes, block storage, and load balancers; and rapid provisioning in dense data centers optimized for AI. Target audiences—data scientists and AI teams—benefit from efficient resource utilization, enabling experimentation to production transitions worldwide while minimizing egress costs and downtime.

Why NVIDIA B200 SXM on Vultr?

Vultr pairs NVIDIA B200 SXM with its massive 32+ region footprint, ideal for globally distributed AI teams needing consistent low-latency access. Per-hour billing suits bursty ML workloads, providing pay-as-you-go flexibility absent in commitment-heavy providers. High-bandwidth networking and NVMe storage complement the B200's 192GB VRAM and Blackwell tensor cores, maximizing throughput for multi-GPU training. Unique edges include integrated services like Vultr Kubernetes Engine for orchestration and one-click deployments, reducing setup time. This setup shines for enterprises prioritizing geographic redundancy, rapid scaling, and total cost of ownership over raw density in fewer regions.

Live Pricing

Real-time NVIDIA B200 SXM offers from Vultr

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NVIDIA B200 SXM8x
192GB VRAM
256 vCPU
3072GB RAM
3576GB Storage
$8.50/GPU/hr
$68.00/hr total (8×)

Performance Notes

NVIDIA B200 SXM on Vultr unleashes Blackwell's prowess, with 192GB HBM3e supporting models up to trillions of parameters at FP4/FP8 precisions. Expect 2-4x gains over H100 in AI benchmarks, per NVIDIA specs. Vultr provides up to 400Gbps+ interconnects for multi-GPU scaling (e.g., NVLink or InfiniBand, details emerging). NVMe SSD storage (up to 30TB+) and object storage handle large datasets efficiently. Cluster scaling supports DGX-like configs, but real-world perf varies by workload—benchmarks pending public Vultr data. Network egress and CPU pairing impact end-to-end times; test with your models.

About Vultr

A global cloud provider with a massive footprint for deployments across numerous regions.

Best For

Global deployments across 32+ regions

Unique Features

  • Massive global footprint
  • Integrated cloud services
NVIDIA B200 SXM Specs

VRAM

192GB

Architecture

Blackwell

Tier

enterprise

Platform Features

Access Methods
SSH
Jupyter Notebooks
Web Terminal
API
Kubernetes
Containers
Billing Options
Incrementper-hour
Spot Instances
Reserved Instances
Prepaid Credits
Compliance
SOC 2
HIPAA
GDPR
ISO 27001

Getting Started

Launching NVIDIA B200 SXM on Vultr is quick via the intuitive dashboard. Select from 32+ regions, deploy pre-tuned images with CUDA/drivers, and integrate storage/networking. Ideal for ML pros, it supports one-click scaling for dev-to-prod workflows.

Steps

  1. 1Sign up for Vultr account, verify email, and add payment method.
  2. 2Go to 'Deploy' > 'Cloud GPU', select NVIDIA B200 SXM instance.
  3. 3Choose region, plan size, OS image (e.g., Ubuntu 22.04 + CUDA 12).
  4. 4Configure storage/network, then click 'Deploy Now'.
  5. 5SSH into instance, install PyTorch/TensorFlow via pip/conda.

Pro Tips

  • Attach Vultr High Frequency Block Storage for low-latency datasets, enabling faster training epochs.
  • Use Vultr Kubernetes Engine to orchestrate multi-GPU clusters for distributed training.
  • Monitor with nvidia-smi and Vultr metrics; enable auto-suspend for idle instances to cut costs.

Frequently Asked Questions

What is Vultr's billing model for NVIDIA B200 SXM?▾

Vultr bills per-hour for GPU instances including NVIDIA B200 SXM. Hourly billing means you pay for full hours even if your job completes mid-hour. Plan your workloads accordingly to maximize cost efficiency.

Does Vultr offer spot instances for NVIDIA B200 SXM?▾

No, Vultr does not currently offer spot instances for NVIDIA B200 SXM. 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.

Does Vultr offer reserved instances for NVIDIA B200 SXM?▾

Yes, Vultr offers reserved instance pricing for NVIDIA B200 SXM, 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 Vultr for current reserved pricing and commitment terms.

Related Pages

Compare B200 SXM Across Providers

The B200 SXM is available from 11 providers on GPUPerHour. Here is how other providers compare:

For a full comparison across all providers, see the B200 SXM rental page. See all GPUs on Vultr.