AMD Instinct MI350X vs NVIDIA A30 — GPU Comparison (Apr 2026)
AMD Instinct MI350X (288GB HBM3e, 1,800 TFLOPS FP16, CDNA 4) vs NVIDIA A30 (24GB HBM2e, 165 TFLOPS FP16, Ampere). Cloud pricing: NVIDIA A30 from $0.25/hr. Compare specs, VRAM, performance, and pricing across 2 cloud providers to find the best GPU for your AI workload.
|
AMD Instinct MI350X
288GB HBM3e · CDNA 4
|
NVIDIA A30
24GB HBM2e · Ampere
|
||
|---|---|---|---|
| Specifications | |||
| Manufacturer | AMD | NVIDIA | |
| Architecture | CDNA 4 | Ampere | |
| VRAM | 288 GB HBM3e | 24 GB HBM2e | |
| Memory Bandwidth | 8,000 GB/s | 933 GB/s | |
| FP16 (Tensor) | 1800.0 TFLOPS | 165.0 TFLOPS | |
| FP32 | 72.0 TFLOPS | 10.3 TFLOPS | |
| TDP | 1000W | 165W | |
| Release Year | 2025 | 2021 | |
| Segment | Data center | Data center | |
| Best For | Next-gen AI training inference at scale | Inference multi-instance GPU workloads | |
| Cloud Pricing | |||
| Cheapest On-Demand | — | $0.25/hr | |
| Cheapest Spot | — | — | |
| Providers | 1 | 2 | |
| Provider Pricing (On-Demand) | |||
|
N/A | $0.25/hr | |
|
N/A | $0.26/hr | |
AMD Instinct MI350X
NVIDIA A30
Related GPU Comparisons
Top Providers for AMD Instinct MI350X and NVIDIA A30
These 2 providers offer both AMD Instinct MI350X and NVIDIA A30. Full head-to-head comparison of GPU models, pricing, infrastructure, and developer tools.
Massed Compute vs RunPod - GPU Provider Comparison (April 2026)
Head-to-head comparison of Massed Compute and RunPod. Compare GPU models, hourly pricing, billing granularity, spot instances, VRAM, infrastructure, developer tools, Kubernetes support, and compliance before choosing a provider. Data refreshed April 2026.
|
Massed Compute
GPU cloud with direct engineer support
|
RunPod
The cloud built for AI — deploy and scale GPU workloads from serverless inference to instant multi-node clusters on demand.
|
|
|---|---|---|
| Overview | ||
| Trustpilot Rating | 0 | 3.7 |
| Headquarters | United States | United States |
| Provider Type | GPU-Focused | GPU-Focused |
| Best For | AI training inference VFX rendering generative AI fine-tuning HPC Stable Diffusion research | AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI |
| GPU Hardware | ||
| GPU Models | A30 RTX A5000 RTX A6000 L40S A100 SXM H100 PCIe H100 SXM H100 NVL RTX PRO 6000 H200 NVL | B300 B200 H200 H100 SXM H100 PCIe H100 NVL MI300X A100 SXM A100 PCIe RTX 5090 RTX PRO 6000 L40S L40 RTX 6000 Ada RTX 5000 Ada RTX A6000 RTX A5000 RTX 4090 RTX 4080 SUPER RTX 4080 RTX 4070 Ti RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 A40 A30 A2 L4 |
| Max VRAM (GB) | 141 | 288 |
| Max GPUs/Instance | 8 | 8 |
| Interconnect | NVLink | NVLink |
| Pricing | ||
| Starting Price ($/hr) | $0.35/hr | $0.06/hr |
| Billing Granularity | Per-minute | Per-second |
| Spot/Preemptible | No | Yes |
| Reserved Discounts | N/A | 15-29% (1-month to 1-year plans) |
| Free Credits | None | $5-$500 bonus after first $10 spend |
| Egress Fees | None | None (Free) |
| Storage | Local NVMe included with instances | Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo 1TB) |
| Infrastructure | ||
| Regions | United States (Tier III data centers) | 31 global regions |
| Uptime SLA | Tier III (99.98% design) | 99.99% |
| Developer Experience | ||
| Frameworks | PyTorch TensorFlow CUDA cuDNN ComfyUI pre-configured ML templates | PyTorch TensorFlow JAX ONNX CUDA |
| Docker Support | Yes | Yes |
| SSH Access | Yes | Yes |
| Jupyter Notebooks | No | Yes |
| API / CLI | Yes | Yes |
| Setup Time | Minutes | Instant |
| Kubernetes Support | No | No |
| Business Terms | ||
| Min Commitment | None | None |
| Compliance | SOC 2 Type II HIPAA | SOC 2 Type II |
Massed Compute
RunPod
Build your own comparison
Select any 2-6 firms from this guide and open them in the full comparison table.
Tip: if you do not select any firms we will start with the top 2 from this guide.