AMD Instinct MI325X vs NVIDIA RTX 4000 Ada — GPU Comparison (Jul 2026)
AMD Instinct MI325X (256GB HBM3e, 1,307 TFLOPS FP16, CDNA 3) vs NVIDIA RTX 4000 Ada (20GB GDDR6, 107 TFLOPS FP16, Ada Lovelace). Cloud pricing: AMD Instinct MI325X from $2.00/hr, NVIDIA RTX 4000 Ada from $0.76/hr. Compare specs, VRAM, performance, and pricing across 2 cloud providers to find the best GPU for your AI workload.
Bottom Line: AMD Instinct MI325X vs NVIDIA RTX 4000 Ada
AMD Instinct MI325X comes out ahead overall, leading in 5 of 7 compared categories.
Where AMD Instinct MI325X leads
- FP16 (1,307 TFLOPS vs 107 TFLOPS)
- VRAM (256 GB vs 20 GB)
- Memory Bandwidth (6,000 GB/s vs 360 GB/s)
- FP32 (163.4 TFLOPS vs 26.7 TFLOPS)
- Release Year (2024 vs 2023)
Where NVIDIA RTX 4000 Ada leads
- Cheapest On-Demand ($0.76/hr vs $2.00/hr)
- TDP (130W vs 1000W)
Choose AMD Instinct MI325X for AI training, large model inference. Choose NVIDIA RTX 4000 Ada for Entry professional AI, CAD, visualization.
Frequently Asked Questions
Is AMD Instinct MI325X or NVIDIA RTX 4000 Ada better?
Which has a better FP16, AMD Instinct MI325X or NVIDIA RTX 4000 Ada?
Which has a better VRAM, AMD Instinct MI325X or NVIDIA RTX 4000 Ada?
|
AMD Instinct MI325X
256GB HBM3e · CDNA 3
|
NVIDIA RTX 4000 Ada
20GB GDDR6 · Ada Lovelace
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||
|---|---|---|---|
| Specifications | |||
| Manufacturer | AMD | NVIDIA | |
| Architecture | CDNA 3 | Ada Lovelace | |
| VRAM | 256 GB HBM3e | 20 GB GDDR6 | |
| Memory Bandwidth | 6,000 GB/s | 360 GB/s | |
| FP16 (Tensor) | 1307.0 TFLOPS | 107.0 TFLOPS | |
| FP32 | 163.4 TFLOPS | 26.7 TFLOPS | |
| TDP | 1000W | 130W | |
| Release Year | 2024 | 2023 | |
| Segment | Data center | Professional | |
| Best For | AI training large model inference | Entry professional AI CAD visualization | |
| Cloud Pricing | |||
| Cheapest On-Demand | $2.00/hr | $0.76/hr | |
| Cheapest Spot | — | — | |
| Providers | 2 | 1 | |
| Provider Pricing (On-Demand) | |||
|
$2.00/hr | N/A | |
|
N/A | $0.76/hr | |
AMD Instinct MI325X
NVIDIA RTX 4000 Ada
Related GPU Comparisons
Top Providers for AMD Instinct MI325X and NVIDIA RTX 4000 Ada
These 2 providers offer both AMD Instinct MI325X and NVIDIA RTX 4000 Ada. Full head-to-head comparison of GPU models, pricing, infrastructure, and developer tools.
DigitalOcean vs Vultr - GPU Provider Comparison (July 2026)
Head-to-head comparison of DigitalOcean and Vultr. Compare GPU models, hourly pricing, billing granularity, spot instances, VRAM, infrastructure, developer tools, Kubernetes support, and compliance before choosing a provider. Data refreshed July 2026.
Bottom Line: DigitalOcean vs Vultr
Vultr comes out ahead overall, leading in 7 of 8 compared categories.
Where DigitalOcean leads
- Trustpilot Rating (4.6 vs 1.7)
Where Vultr leads
- Starting Price ($/hr) ($0.47/hr vs $0.76/hr)
- Max VRAM (GB) (288 vs 192)
- Uptime SLA (100% vs 99%)
- Max GPUs/Instance (16 vs 8)
- GPU Models (12 vs 6)
- Spot/Preemptible
Choose DigitalOcean for AI training, inference, fine-tuning. Choose Vultr for AI training, inference, video rendering.
Frequently Asked Questions
Is DigitalOcean or Vultr better?
Which has a better Trustpilot Rating, DigitalOcean or Vultr?
Which has a better Starting Price ($/hr), DigitalOcean or Vultr?
|
DigitalOcean
Simple, scalable GPU cloud for AI/ML
|
Vultr
High-performance cloud GPU across 32 global regions
|
|
|---|---|---|
| Overview | ||
| Trustpilot Rating | 4.6 | 1.7 |
| Headquarters | United States | United States |
| Provider Type | N/A | Multi-Cloud |
| Best For | AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research |
| GPU Hardware | ||
| GPU Models | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X |
| Max VRAM (GB) | 192 | 288 |
| Max GPUs/Instance | 8 | 16 |
| Interconnect | NVLink | NVLink |
| Pricing | ||
| Starting Price ($/hr) | $0.76/hr | $0.47/hr |
| Billing Granularity | Per-second | Per-hour |
| Spot/Preemptible | No | Yes |
| Reserved Discounts | N/A | N/A |
| Free Credits | $200 free credit for 60 days | Up to $300 free credit for 30 days |
| Egress Fees | None (included in plan) | Standard (varies by plan) |
| Storage | 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo | 350 GB - 61 TB NVMe (included), Block Storage at $0.10/GB/mo, S3-compatible Object Storage |
| Infrastructure | ||
| Regions | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) |
| Uptime SLA | 99% | 100% |
| Developer Experience | ||
| Frameworks | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC |
| Docker Support | Yes | Yes |
| SSH Access | Yes | Yes |
| Jupyter Notebooks | Yes | Yes |
| API / CLI | Yes | Yes |
| Setup Time | Minutes | Minutes |
| Kubernetes Support | Yes | Yes |
| Business Terms | ||
| Min Commitment | None | None |
| Compliance | SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 |
DigitalOcean
Vultr
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