NVIDIA A30 vs NVIDIA GB200 Superchip — GPU Comparison (Jul 2026)
NVIDIA A30 (24GB HBM2e, 165 TFLOPS FP16, Ampere) vs NVIDIA GB200 Superchip (384GB HBM3e, 4,500 TFLOPS FP16, Blackwell). 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.
Bottom Line: NVIDIA A30 vs NVIDIA GB200 Superchip
NVIDIA GB200 Superchip comes out ahead overall, leading in 5 of 6 compared categories.
Where NVIDIA A30 leads
- TDP (165W vs 2700W)
Where NVIDIA GB200 Superchip leads
- FP16 (4,500 TFLOPS vs 165 TFLOPS)
- VRAM (384 GB vs 24 GB)
- Memory Bandwidth (16,000 GB/s vs 933 GB/s)
- FP32 (150 TFLOPS vs 10.3 TFLOPS)
- Release Year (2024 vs 2021)
Choose NVIDIA A30 for Inference, multi-instance GPU workloads. Choose NVIDIA GB200 Superchip for Largest-scale AI training, multi-trillion parameter models.
Frequently Asked Questions
Is NVIDIA A30 or NVIDIA GB200 Superchip better?
Which has a better FP16, NVIDIA A30 or NVIDIA GB200 Superchip?
Which has a better VRAM, NVIDIA A30 or NVIDIA GB200 Superchip?
|
NVIDIA A30
24GB HBM2e · Ampere
|
NVIDIA GB200 Superchip
384GB HBM3e · Blackwell
|
||
|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Ampere | Blackwell | |
| VRAM | 24 GB HBM2e | 384 GB HBM3e | |
| Memory Bandwidth | 933 GB/s | 16,000 GB/s | |
| FP16 (Tensor) | 165.0 TFLOPS | 4500.0 TFLOPS | |
| FP32 | 10.3 TFLOPS | 150.0 TFLOPS | |
| TDP | 165W | 2700W | |
| Release Year | 2021 | 2024 | |
| Segment | Data center | Data center | |
| Best For | Inference multi-instance GPU workloads | Largest-scale AI training multi-trillion parameter models | |
| Cloud Pricing | |||
| Cheapest On-Demand | $0.25/hr | — | |
| Cheapest Spot | — | — | |
| Providers | 2 | 0 | |
| Provider Pricing (On-Demand) | |||
|
$0.25/hr | N/A | |
|
$0.26/hr | N/A | |
NVIDIA A30
NVIDIA GB200 Superchip
Related GPU Comparisons
Top Providers for NVIDIA A30 and NVIDIA GB200 Superchip
These 2 providers offer both NVIDIA A30 and NVIDIA GB200 Superchip. Full head-to-head comparison of GPU models, pricing, infrastructure, and developer tools.
Massed Compute vs Runpod - GPU Provider Comparison (July 2026)
Head-to-head comparison of Massed Compute and Runpod. Compare GPU models, hourly pricing, billing granularity, spot instances, VRAM, infrastructure, developer tools, Kubernetes support, and compliance before choosing a provider. Data refreshed July 2026.
Bottom Line: Massed Compute vs Runpod
Runpod comes out ahead overall, leading in 6 of 8 compared categories.
Where Massed Compute leads
- Frameworks (6 vs 5)
- Compliance (2 vs 1)
Where Runpod leads
- Trustpilot Rating (3.7 vs 2.9)
- Starting Price ($/hr) ($0.06/hr vs $0.35/hr)
- Max VRAM (GB) (288 vs 141)
- Uptime SLA (99.99% vs 99.98%)
- GPU Models (30 vs 10)
- Jupyter Notebooks
Choose Massed Compute for AI training, inference, VFX rendering. Choose Runpod for AI training, inference, fine-tuning.
Frequently Asked Questions
Is Massed Compute or Runpod better?
Which has a better Trustpilot Rating, Massed Compute or Runpod?
Which has a better Starting Price ($/hr), Massed Compute or Runpod?
|
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 | 2.9 | 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 | No |
| 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.