MI300X on Vultr
Visit VultrVultr's AMD Instinct MI300X offering combines a world-class enterprise GPU with one of the largest global cloud footprints, making it ideal for ML engineers and data scientists tackling memory-intensive AI and HPC workloads. The MI300X, built on CDNA 3 architecture, delivers 192GB of HBM3e memory at up to 5.3 TB/s bandwidth, enabling training and inference of massive language models like Llama 405B or Mixture-of-Experts architectures without model sharding compromises. Vultr's 32+ data center regions ensure low-latency global deployments, from edge inference to distributed training clusters. Key value propositions include hourly billing for cost flexibility, integrated services like Kubernetes and object storage, and seamless ROCm support for AMD-optimized workflows. This setup targets teams needing scalable, high-memory GPU compute without vendor lock-in, offering superior memory capacity over NVIDIA H100s at potentially competitive pricing. While specific Vultr benchmarks are emerging, the combo excels in bandwidth-bound tasks like LLM fine-tuning and scientific simulations.
Why AMD Instinct MI300X on Vultr?
Choose Vultr for MI300X if global reach and flexibility are priorities. Vultr's massive 32+ region footprint minimizes latency for worldwide inference or multi-region training, complementing the MI300X's 192GB VRAM for handling enormous datasets in one GPU. Hourly billing avoids long-term commitments, ideal for bursty ML workloads. Provider strengths like high-speed NVMe storage, up to 100Gbps networking, and integrated managed services (e.g., Vultr Kubernetes Engine) enhance the GPU's CDNA 3 capabilities for ROCm-based pipelines. Unlike regional providers, this combo supports seamless scaling across continents without data transfer penalties, making it perfect for enterprise AI deployments requiring reliability and cost-efficiency over niche GPU specialization.
Live Pricing
Real-time AMD Instinct MI300X offers from Vultr
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 256 vCPU 2048GB RAM 3576GB Storage | Chicago | $3.99/GPU/hr $31.92/hr total (8×) | Sold Out | ||
Vultr | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 256 vCPU 2048GB RAM 3576GB Storage | 🌍global | $3.99/GPU/hr $31.92/hr total (8×) | Sold Out |
Performance Notes
On Vultr, expect MI300X to shine in memory-bound workloads with 192GB HBM3e enabling full-model loading for 70B+ parameter LLMs at FP8/FP16 precisions, leveraging CDNA 3's matrix cores for up to 2.6 PFLOPS FP16. Network bandwidth reaches 100Gbps+ for multi-GPU setups, supporting efficient NCCL scaling in ROCm clusters. NVMe storage options provide high-IOPS for dataset loading. Multi-GPU configs are available, though exact node designs (e.g., 8x MI300X) are provider-specific. Benchmarks show MI300X competitive with H100 in inference throughput; Vultr-tuned performance is solid but varies by workload—test with ROCm 6.0+ for optimal results. Limitations: AMD ecosystem maturity lags NVIDIA in some frameworks.
A global cloud provider with a massive footprint for deployments across numerous regions.
Best For
Unique Features
- Massive global footprint
- Integrated cloud services
VRAM
192GB
Architecture
CDNA 3
Tier
enterprise
Platform Features
Getting Started
Launching AMD Instinct MI300X on Vultr is straightforward via their intuitive dashboard or API, with pre-configured images for ROCm and popular ML frameworks. Select from 32+ regions for optimal latency, deploy in minutes, and scale as needed with hourly billing.
Steps
- 1Sign up or log in to Vultr dashboard and enable GPU billing if required.
- 2Navigate to 'Products' > 'Cloud GPU' and select AMD Instinct MI300X instance type.
- 3Choose datacenter region, instance size (e.g., 8x GPU), and OS image with ROCm pre-installed.
- 4Configure storage (add Block Storage for datasets) and networking, then deploy.
- 5SSH into instance, verify GPUs with 'rocm-smi', and install ML frameworks like PyTorch-ROCm.
Pro Tips
- Leverage Vultr's High Frequency Compute for CPU-GPU synergy in data preprocessing pipelines.
- Use Vultr Kubernetes Engine for orchestrated multi-node MI300X clusters to scale training jobs.
- Monitor hourly costs via dashboard and snapshot instances for quick restarts on memory-intensive workloads.
Frequently Asked Questions
What is Vultr's billing model for AMD Instinct MI300X?▾
Vultr bills per-hour for GPU instances including AMD Instinct MI300X. 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 AMD Instinct MI300X?▾
No, Vultr does not currently offer spot instances for AMD Instinct MI300X. 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 AMD Instinct MI300X?▾
Yes, Vultr offers reserved instance pricing for AMD Instinct MI300X, 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
Rent AMD Instinct MI300X
Atlantic.net vs Vultr: GPU Cloud Comparison
Cirrascale vs Vultr: GPU Cloud Comparison
CoreWeave vs Vultr: GPU Cloud Comparison
NVIDIA A100 PCIe 80GB on Vultr - Pricing & Availability
NVIDIA B200 SXM on Vultr - Pricing & Availability
NVIDIA GH200 Grace Hopper on Vultr - Pricing & Availability
AMD Instinct MI300X in Chicago, United States - Pricing & Availability
AMD Instinct MI300X in United States - Pricing & Availability