AMD Instinct MI300X vs NVIDIA RTX PRO 6000 — GPU Comparison (Apr 2026)
AMD Instinct MI300X (192GB HBM3, 1,307 TFLOPS FP16, CDNA 3) vs NVIDIA RTX PRO 6000 (96GB GDDR7, 252 TFLOPS FP16, Blackwell). Cloud pricing: AMD Instinct MI300X from $1.85/hr, NVIDIA RTX PRO 6000 from $1.71/hr. Compare specs, VRAM, performance, and pricing across 4 cloud providers to find the best GPU for your AI workload.
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AMD Instinct MI300X
192GB HBM3 · CDNA 3
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NVIDIA RTX PRO 6000
96GB GDDR7 · Blackwell
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| Specifications | |||
| Manufacturer | AMD | NVIDIA | |
| Architecture | CDNA 3 | Blackwell | |
| VRAM | 192 GB HBM3 | 96 GB GDDR7 | |
| Memory Bandwidth | 5,300 GB/s | 1,792 GB/s | |
| FP16 (Tensor) | 1307.0 TFLOPS | 252.0 TFLOPS | |
| FP32 | 163.4 TFLOPS | 125.0 TFLOPS | |
| TDP | 750W | 600W | |
| Release Year | 2023 | 2025 | |
| Segment | Data center | Professional | |
| Best For | Large-scale AI training LLM inference HPC | Professional AI development large model fine-tuning visualization | |
| Cloud Pricing | |||
| Cheapest On-Demand | $1.85/hr | $1.71/hr | |
| Cheapest Spot | — | $1.69/hr | |
| Providers | 2 | 2 | |
| Provider Pricing (On-Demand) | |||
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$1.85/hr | N/A | |
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$1.99/hr | N/A | |
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N/A | $1.71/hr | |
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N/A | $1.89/hr | |
AMD Instinct MI300X
NVIDIA RTX PRO 6000
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Latitude.sh vs Vultr vs RunPod - GPU Provider Comparison (April 2026)
Side-by-side comparison of Latitude.sh vs Vultr vs RunPod. Quickly compare GPU models, hourly pricing, spot instances, billing granularity, VRAM, regions, developer tools, Kubernetes support, and compliance to narrow down your cloud GPU provider shortlist. Data updated April 2026.
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Latitude.sh
Bare metal GPU cloud across 23 global locations
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Vultr
High-performance cloud GPU across 32 global regions
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RunPod
The cloud built for AI — deploy and scale GPU workloads from serverless inference to instant multi-node clusters on demand.
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 3.7 | 1.8 | 3.7 |
| Headquarters | Brazil | United States | United States |
| Provider Type | Bare Metal | Multi-Cloud | GPU-Focused |
| Best For | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research | AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI |
| GPU Hardware | |||
| GPU Models | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X | B300 B200 H200 H100 SXM H100 PCIe H100 NVL MI300X A100 SXM A100 PCIe RTX 5090 RTX PRO 6000 L40S L40 RTX 6000 Ada RTX 5000 Ada RTX A6000 RTX A5000 RTX 4090 RTX 4080 SUPER RTX 4080 RTX 4070 Ti RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 A40 A30 A2 L4 |
| Max VRAM (GB) | 96 | 288 | 288 |
| Max GPUs/Instance | 8 | 16 | 8 |
| Interconnect | NVLink | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.35/hr | $0.47/hr | $0.06/hr |
| Billing Granularity | Per-hour | Per-hour | Per-second |
| Spot/Preemptible | No | Yes | Yes |
| Reserved Discounts | N/A | N/A | 15-29% (1-month to 1-year plans) |
| Free Credits | $200 via referral program | Up to $300 free credit for 30 days | $5-$500 bonus after first $10 spend |
| Egress Fees | None | Standard (varies by plan) | None (Free) |
| Storage | Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo | 350 GB - 61 TB NVMe (included), Block Storage at $0.10/GB/mo, S3-compatible Object Storage | Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo 1TB) |
| Infrastructure | |||
| Regions | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) | 31 global regions |
| Uptime SLA | 99.9% | 100% | 99.99% |
| Developer Experience | |||
| Frameworks | ML-optimized images PyTorch TensorFlow (user-installed) CUDA | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC | PyTorch TensorFlow JAX ONNX CUDA |
| Docker Support | Yes | Yes | Yes |
| SSH Access | Yes | Yes | Yes |
| Jupyter Notebooks | No | Yes | Yes |
| API / CLI | Yes | Yes | Yes |
| Setup Time | Seconds | Minutes | Instant |
| Kubernetes Support | No | Yes | No |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | Single-tenant isolation DPA available | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 | SOC 2 Type II |
Latitude.sh
Vultr
RunPod
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