AMD Instinct MI300X vs NVIDIA A2 — GPU Comparison (Jul 2026)
AMD Instinct MI300X (192GB HBM3, 1,307 TFLOPS FP16, CDNA 3) vs NVIDIA A2 (16GB GDDR6, 18 TFLOPS FP16, Ampere). Cloud pricing: AMD Instinct MI300X from $1.85/hr, NVIDIA A2 from $0.22/hr. Compare specs, VRAM, performance, and pricing across 4 cloud providers to find the best GPU for your AI workload.
Bottom Line: AMD Instinct MI300X vs NVIDIA A2
AMD Instinct MI300X comes out ahead overall, leading in 6 of 8 compared categories.
Where AMD Instinct MI300X leads
- FP16 (1,307 TFLOPS vs 18 TFLOPS)
- VRAM (192 GB vs 16 GB)
- Memory Bandwidth (5,300 GB/s vs 200 GB/s)
- FP32 (163.4 TFLOPS vs 4.5 TFLOPS)
- Release Year (2023 vs 2021)
- Providers (3 vs 1)
Where NVIDIA A2 leads
- Cheapest On-Demand ($0.22/hr vs $1.85/hr)
- TDP (60W vs 750W)
Choose AMD Instinct MI300X for Large-scale AI training, LLM inference, HPC. Choose NVIDIA A2 for Edge inference, entry-level AI.
Frequently Asked Questions
Is AMD Instinct MI300X or NVIDIA A2 better?
Which has a better FP16, AMD Instinct MI300X or NVIDIA A2?
Which has a better VRAM, AMD Instinct MI300X or NVIDIA A2?
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AMD Instinct MI300X
192GB HBM3 · CDNA 3
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NVIDIA A2
16GB GDDR6 · Ampere
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|---|---|---|---|
| Specifications | |||
| Manufacturer | AMD | NVIDIA | |
| Architecture | CDNA 3 | Ampere | |
| VRAM | 192 GB HBM3 | 16 GB GDDR6 | |
| Memory Bandwidth | 5,300 GB/s | 200 GB/s | |
| FP16 (Tensor) | 1307.0 TFLOPS | 18.0 TFLOPS | |
| FP32 | 163.4 TFLOPS | 4.5 TFLOPS | |
| TDP | 750W | 60W | |
| Release Year | 2023 | 2021 | |
| Segment | Data center | Data center | |
| Best For | Large-scale AI training LLM inference HPC | Edge inference entry-level AI | |
| Cloud Pricing | |||
| Cheapest On-Demand | $1.85/hr | $0.22/hr | |
| Cheapest Spot | — | — | |
| Providers | 3 | 1 | |
| Provider Pricing (On-Demand) | |||
|
$1.85/hr | N/A | |
|
$1.99/hr | N/A | |
|
$2.19/hr | N/A | |
|
N/A | $0.22/hr | |
AMD Instinct MI300X
NVIDIA A2
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Cherry Servers vs Vultr vs DigitalOcean - GPU Provider Comparison (July 2026)
Side-by-side comparison of Cherry Servers vs Vultr vs DigitalOcean. Quickly compare GPU models, hourly pricing, spot instances, billing granularity, VRAM, regions, developer tools, Kubernetes support, and compliance to narrow down your cloud GPU provider shortlist. Data updated July 2026.
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Cherry Servers
Bare metal GPU servers with 24 years of hosting experience and full hardware-level control.
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Vultr
High-performance cloud GPU across 32 global regions
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DigitalOcean
Simple, scalable GPU cloud for AI/ML
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 4.4 | 1.7 | 4.6 |
| Headquarters | Lithuania | United States | United States |
| Provider Type | N/A | Multi-Cloud | N/A |
| Best For | AI training inference fine-tuning rendering research HPC generative AI deep learning | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research | AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research |
| GPU Hardware | |||
| GPU Models | A100 A40 A16 A10 A2 Tesla P4 | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 |
| Max VRAM (GB) | 80 | 288 | 192 |
| Max GPUs/Instance | 2 | 16 | 8 |
| Interconnect | PCIe | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.16/hr | $0.47/hr | $0.76/hr |
| Billing Granularity | Per-hour | Per-hour | Per-second |
| Spot/Preemptible | No | Yes | No |
| Reserved Discounts | N/A | N/A | N/A |
| Free Credits | None | Up to $300 free credit for 30 days | $200 free credit for 60 days |
| Egress Fees | N/A | Standard (varies by plan) | None (included in plan) |
| Storage | NVMe SSD, Elastic Block Storage ($0.071/GB/mo) | 350 GB - 61 TB NVMe (included), Block Storage at $0.10/GB/mo, S3-compatible Object Storage | 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo |
| Infrastructure | |||
| Regions | Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) |
| Uptime SLA | 99.97% | 100% | 99% |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow CUDA (bare metal — full stack control) | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face |
| Docker Support | Yes | Yes | Yes |
| SSH Access | Yes | Yes | Yes |
| Jupyter Notebooks | No | Yes | Yes |
| API / CLI | Yes | Yes | Yes |
| Setup Time | Minutes | Minutes | Minutes |
| Kubernetes Support | Yes | Yes | Yes |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | ISO 27001 ISO 20000-1 GDPR PCI DSS | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 | SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 |
Cherry Servers
Vultr
DigitalOcean
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