NVIDIA A2 vs NVIDIA RTX PRO 6000 — GPU Comparison (Apr 2026)
NVIDIA A2 (16GB GDDR6, 18 TFLOPS FP16, Ampere) vs NVIDIA RTX PRO 6000 (96GB GDDR7, 252 TFLOPS FP16, Blackwell). Cloud pricing: NVIDIA A2 from $0.22/hr, NVIDIA RTX PRO 6000 from $1.71/hr. Compare specs, VRAM, performance, and pricing across 3 cloud providers to find the best GPU for your AI workload.
|
NVIDIA A2
16GB GDDR6 · Ampere
|
NVIDIA RTX PRO 6000
96GB GDDR7 · Blackwell
|
||
|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Ampere | Blackwell | |
| VRAM | 16 GB GDDR6 | 96 GB GDDR7 | |
| Memory Bandwidth | 200 GB/s | 1,792 GB/s | |
| FP16 (Tensor) | 18.0 TFLOPS | 252.0 TFLOPS | |
| FP32 | 4.5 TFLOPS | 125.0 TFLOPS | |
| TDP | 60W | 600W | |
| Release Year | 2021 | 2025 | |
| Segment | Data center | Professional | |
| Best For | Edge inference entry-level AI | Professional AI development large model fine-tuning visualization | |
| Cloud Pricing | |||
| Cheapest On-Demand | $0.22/hr | $1.71/hr | |
| Cheapest Spot | — | $1.69/hr | |
| Providers | 1 | 2 | |
| Provider Pricing (On-Demand) | |||
|
$0.22/hr | N/A | |
|
N/A | $1.71/hr | |
|
N/A | $1.89/hr | |
NVIDIA A2
NVIDIA RTX PRO 6000
Related GPU Comparisons
Top Providers for NVIDIA A2 and NVIDIA RTX PRO 6000
These 3 providers offer both NVIDIA A2 and NVIDIA RTX PRO 6000. Full head-to-head comparison of GPU models, pricing, infrastructure, and developer tools.
Cherry Servers vs Latitude.sh vs RunPod - GPU Provider Comparison (April 2026)
Side-by-side comparison of Cherry Servers vs Latitude.sh vs RunPod. Quickly compare GPU models, hourly pricing, spot instances, billing granularity, VRAM, regions, developer tools, Kubernetes support, and compliance to narrow down your cloud GPU provider shortlist. Data updated April 2026.
|
Cherry Servers
Bare metal GPU servers with 24 years of hosting experience and full hardware-level control.
|
Latitude.sh
Bare metal GPU cloud across 23 global locations
|
RunPod
The cloud built for AI — deploy and scale GPU workloads from serverless inference to instant multi-node clusters on demand.
|
|
|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 4.6 | 3.7 | 3.7 |
| Headquarters | Lithuania | Brazil | United States |
| Provider Type | N/A | Bare Metal | GPU-Focused |
| Best For | AI training inference fine-tuning rendering research HPC generative AI deep learning | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI | AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI |
| GPU Hardware | |||
| GPU Models | A100 A40 A16 A10 A2 Tesla P4 | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 | B300 B200 H200 H100 SXM H100 PCIe H100 NVL MI300X A100 SXM A100 PCIe RTX 5090 RTX PRO 6000 L40S L40 RTX 6000 Ada RTX 5000 Ada RTX A6000 RTX A5000 RTX 4090 RTX 4080 SUPER RTX 4080 RTX 4070 Ti RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 A40 A30 A2 L4 |
| Max VRAM (GB) | 80 | 96 | 288 |
| Max GPUs/Instance | 2 | 8 | 8 |
| Interconnect | PCIe | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.16/hr | $0.35/hr | $0.06/hr |
| Billing Granularity | Per-hour | Per-hour | Per-second |
| Spot/Preemptible | No | No | Yes |
| Reserved Discounts | N/A | N/A | 15-29% (1-month to 1-year plans) |
| Free Credits | None | $200 via referral program | $5-$500 bonus after first $10 spend |
| Egress Fees | N/A | None | None (Free) |
| Storage | NVMe SSD, Elastic Block Storage ($0.071/GB/mo) | Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo | Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo 1TB) |
| Infrastructure | |||
| Regions | Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo | 31 global regions |
| Uptime SLA | 99.97% | 99.9% | 99.99% |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow CUDA (bare metal — full stack control) | ML-optimized images PyTorch TensorFlow (user-installed) CUDA | PyTorch TensorFlow JAX ONNX CUDA |
| Docker Support | Yes | Yes | Yes |
| SSH Access | Yes | Yes | Yes |
| Jupyter Notebooks | No | No | Yes |
| API / CLI | Yes | Yes | Yes |
| Setup Time | Minutes | Seconds | Instant |
| Kubernetes Support | Yes | No | No |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | ISO 27001 ISO 20000-1 GDPR PCI DSS | Single-tenant isolation DPA available | SOC 2 Type II |
Cherry Servers
Latitude.sh
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.