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GPU Cloud Provider

Alibaba Cloud

GPUs
4
Countries
3

GPU Marketplace

NVIDIA P4On-Demand
$0.15/hour
$1.87/hour
$1.87/hour
NVIDIA T4On-Demand
$2.38/hour

Estimates onlyrates are collected automatically from public provider pages and may be out of date. Prices vary by region, commitment term, and availability, and typically exclude storage, egress, and tax. Confirm current pricing with the provider before purchasing. Last collected .

Company Profile

Legal EntityAlibaba Cloud

Infrastructure

GPU FleetProvides various accelerator cards including FPGA, GPU, and ASIC
Elastic computing instances with GPU computing accelerators suitable for scenarios (such as artificial intelligence (specifically deep learning and machine learning), high-performance computing, and professional graphics processing)

Compute & Deployment

On-DemandPay-As-You-Go Billing
Reserved Instancessubscription (Save by Subscription Billing)
VM-BasedElastic computing instances
Container-BasedGPU Sharing Software for Containers (allows multiple containers to use a single GPU)
KubernetesContainer Service for Kubernetes (ACK)

GPU Hardware

Latest GenElastic GPU Service uses the latest GPU acceleration chips and provides various accelerator cards (such as FPGA, GPU, and ASIC) to serve business purposes (such as AI, graphics, transcoding, and encryption).
Multi-GPU NodesHigh-Performance Communication for One or More Multi-GPU Servers

Pricing Model

SubscriptionSupports the subscription and pay-as-you-go billing methods. You can select an appropriate billing method based on your business needs · Allows you to purchase on-demand resources without making a large upfront investment
Public Pricinghttps://www.alibabacloud.com/en/pricing?_p_lc=1
Egress ChargesRequires one-off purchase of outbound bandwidth that cannot be adjusted
Pay-as-you-goAchieve the elasticity you need and only pay for what you actually use. No upfront payments required.

Performance & Scaling

Multi-Node TrainingIt can significantly improve the efficiency of AI distributed training and network bandwidth utilization.
Elastic ScalingElastic GPU Service provides a complete service system that combines software and hardware to help you flexibly allocate resources, elastically scale your system, improve computing power, and lower the cost of your AI-related business.
Auto ScalingIntegrates with ESS and SLB to implement auto scaling
Perf IsolationcGPU can run multiple containers on a single GPU and isolate the GPU applications among the containers.

Developer Experience

OnboardingOptions include: 'Buy Now' / 'Contact Sales', 'Request for Quotation' / 'Free Trial', and registering for a free account to create a pilot
CLI ToolingProvides a command-line tool to manage GPU clusters and exposes API operations for fast deployment
DocumentationDocumentation and related resources including a Documentation section, Pricing Calculator, Product Catalog, Well-Architected Framework, and whitepapers (MNC Landing Zone)

Data Center Locations

Coverage

CountriesJapan, Hong Kong, Indonesia
GPU resources are globally deployed across different geographical locations.

Compliance Regions

Datacenter Locations

Key Strengths

Claims: flexible, elastic GPU instances for AI/HPC/graphics
global GPU resource deployment
high network performance via SHENLONG (up to 24 million pps and 64 Gbit/s over VPCs)
auxiliary tools (AIACC
FastGPU, cGPU)
support for main ML frameworks and distributed training optimizations

Known Limitations

Document does not state spot pricing, per-GPU model names or counts, total GPU capacity, uptime SLA, multi-cloud support, or private cloud options
billing granularity (per-second/minute/hour) is not specified

Additional Information

Community

Discord

Core Proposition

Elastic GPU Service provides a complete service system that combines software and hardware to help you flexibly allocate resources, elastically scale your system, improve computing power, and lower the cost of your AI-related business.

Notable Customers

IDOM Inc.
Ms-meta.HK
Advance Intelligence Group (ADVANCE)

Payment Methods

Bank transfer and other supported payment methods
Last updated August 2026. Information subject to change.