New GPU Instances Comparison Across Cloud Providers

Demand for AI large model training and inference continues to surge, making GPU compute resources the hottest category in cloud services. In Q2 2026, major cloud providers released a wave of next-generation GPU instances with quantum leaps in performance, memory, and network interconnects. This article comprehensively compares the latest GPU instances from AWS, GCP, Alibaba Cloud, and Tencent Cloud across multiple dimensions to help enterprises make the best choice.

Next-Gen GPU Chip Landscape

The GPU market competition entered a new phase in 2026, with each provider's chip selections as follows:

| Provider | Flagship GPU Instance | GPU Chip | GPUs per Instance | VRAM/GPU | Launch | |----------|----------------------|----------|-------------------|---------|--------| | AWS | P6e Ultra | NVIDIA B300 | 8 | 192GB HBM3e | 2026.03 | | GCP | A4 High | NVIDIA B300 | 8 | 192GB HBM3e | 2026.02 | | Alibaba Cloud | EBMC7pd | NVIDIA H200 | 8 | 141GB HBM3e | 2025.12 | | Tencent Cloud | GI10 | NVIDIA H200 | 8 | 141GB HBM3e | 2026.01 |

Key Technical Specifications Comparison

| Spec | NVIDIA B300 | NVIDIA H200 | NVIDIA H100 (Reference) | |------|------------|------------|------------------------| | Process node | 3nm | 4nm | 4nm | | FP16 compute | 4.7 PFLOPS | 3.9 PFLOPS | 1.9 PFLOPS | | FP8 compute | 9.4 PFLOPS | 7.8 PFLOPS | 3.9 PFLOPS | | VRAM capacity | 192GB | 141GB | 80GB | | Memory bandwidth | 7.2TB/s | 4.8TB/s | 3.3TB/s | | NVLink bandwidth | 1.8TB/s | 900GB/s | 900GB/s | | TDP | 1000W | 700W | 700W |

Detailed GPU Instance Comparison by Provider

AWS P6e Ultra

AWS P6e Ultra is its most powerful GPU compute offering:

| Spec | Value | |------|-------| | GPU count | 8× NVIDIA B300 | | Total VRAM | 1,536GB | | vCPU | 192 (AWS Graviton4) | | Memory | 2,048GB | | Networking | 400Gbps EFAv3 | | Local storage | 16TB NVMe | | On-demand price | $42.56/hour | | 1-year RI price | $25.50/hour | | 3-year RI price | $16.80/hour |

Highlights:

• EFAv3 networking enables cross-node GPU direct communication
• UltraCluster scales to 20,000+ GPUs
• Deep SageMaker HyperPod integration

GCP A4 High

GCP A4 High focuses on large-scale training scenarios:

| Spec | Value | |------|-------| | GPU count | 8× NVIDIA B300 | | Total VRAM | 1,536GB | | vCPU | 224 (Intel Emerald Rapids) | | Memory | 2,368GB | | Networking | 400Gbps A3 Urania | | Local storage | 16TB NVMe | | On-demand price | $40.24/hour | | 1-year RI price | $24.10/hour | | 3-year RI price | $15.80/hour |

Highlights:

• Custom A3 Urania networking with lower latency
• TPU v5 mixed training support
• Deep Vertex AI integration

Alibaba Cloud EBMC7pd

Alibaba Cloud EBMC7pd is currently the most powerful GPU instance in China:

| Spec | Value | |------|-------| | GPU count | 8× NVIDIA H200 | | Total VRAM | 1,128GB | | vCPU | 192 (Yitian 710) | | Memory | 1,920GB | | Networking | 200Gbps | | Local storage | 8TB NVMe | | On-demand price | ¥195/hour (~$27) | | 1-year RI price | ¥117/hour (~$16) | | 3-year RI price | ¥78/hour (~$11) |

Highlights:

• Best GPU cost-performance in China
• Deep PAI platform integration
• Supports Lingji model inference acceleration

Tencent Cloud GI10

Tencent Cloud GI10 is optimized for AI training:

| Spec | Value | |------|-------| | GPU count | 8× NVIDIA H200 | | Total VRAM | 1,128GB | | vCPU | 192 (Xinghai) | | Memory | 1,920GB | | Networking | 200Gbps | | Local storage | 8TB NVMe | | On-demand price | ¥189/hour (~$26) | | 1-year RI price | ¥113/hour (~$16) | | 3-year RI price | ¥75/hour (~$10) |

Highlights:

• Deep TI platform integration
• Supports Hunyuan large model training acceleration
• Xingchi low-latency network interconnect

Comprehensive Cost-Performance Comparison

Per-Unit Compute Cost (FP16)

| Provider | Instance | Total FP16 | 3-Year RI Monthly | Cost per PFLOPS | |----------|----------|-----------|-------------------|----------------| | AWS | P6e Ultra | 37.6 PFLOPS | $12,096 | $321.7/PFLOPS | | GCP | A4 High | 37.6 PFLOPS | $11,376 | $302.5/PFLOPS | | Alibaba Cloud | EBMC7pd | 31.2 PFLOPS | $7,920 | $253.8/PFLOPS | | Tencent Cloud | GI10 | 31.2 PFLOPS | $7,200 | $230.8/PFLOPS |

Large Model Training Comparison (70B Parameter Model)

| Dimension | AWS P6e Ultra | GCP A4 High | Alibaba Cloud EBMC7pd | Tencent Cloud GI10 | |-----------|-------------|-----------|--------------|-----------| | Training speed (relative) | 100% | 102% | 78% | 77% | | 3-year total cost | $435,456 | $409,536 | $285,120 | $259,200 | | Cost-performance rank | #3 | #2 | #4 | #1* | | Max cluster size | 20,000+ | 10,000+ | 4,000+ | 4,000+ | | China network latency | Higher | Higher | Very low | Very low |

*Note: Tencent Cloud ranks #1 for cost-performance based on China domestic scenarios, factoring in network latency and compliance.

Selection Recommendations

Large-Scale Training (1,000+ GPU Clusters)

Choose AWS P6e Ultra or GCP A4 High because:

• Higher cluster scale limits, supporting 10,000+ GPU training
• B300 chip performance leads by 20%+ in training speed
• Mature network interconnect technology with high cluster efficiency

Domestic China AI Training

Choose Alibaba Cloud EBMC7pd or Tencent Cloud GI10 because:

• Low domestic network latency, data stays in-country
• Compliance requirements easier to meet
• Significantly better cost-performance than international providers

AI Inference Deployment

• Maximum performance: B300 instances
• Best cost-performance: H200 instances or inference-optimized instances
• Small-scale inference: Single or dual-GPU instances suffice

Budget-Constrained Startups

• Prioritize Spot GPU instances from Tencent Cloud or Alibaba Cloud
• Discounts of 60%-70% available, but watch for instance reclamation risk
• Consider multi-cloud partner discounts

Future Outlook

Expected developments in H2 2026:

• NVIDIA B300 Ultra: Larger VRAM variant (256GB), expected Q3
• AMD MI400: Cloud providers begin deploying AMD GPU instances
• Custom AI chips: Alibaba T-Head and Tencent Suiruo chips entering cloud instances
• Inference-optimized instances: More providers launching inference-specific GPU instances with better cost-performance

Duoyun Cloud Helps You Choose the Optimal GPU Solution

Duoyun Cloud provides cross-cloud GPU instance comparison tools and FinOps advisory services to help you choose the best GPU training platform across AWS, GCP, Alibaba Cloud, and Tencent Cloud. Purchasing GPU instances through Duoyun Cloud also stacks partner-exclusive discounts for up to 15% additional savings.

Contact Duoyun Cloud's AI advisory team today for a free GPU selection assessment and cost optimization plan.