gpulist.ai
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About
gpulist.ai serves as a specialized marketplace and discovery platform dedicated to high-performance GPU compute, currently hosting over $2.5 billion in active listings. In an era where hardware scarcity often bottlenecks AI development, this tool provides a transparent, real-time directory of available GPU clusters from diverse providers worldwide. It aggregates information on a wide range of hardware, from enterprise-grade NVIDIA H100s, H200s, and the latest Blackwell B200s to specialized AMD MI355Xs and consumer-focused RTX 5090s. By centralizing these resources, gpulist.ai simplifies the procurement process for organizations needing massive computational power for training large language models or running complex simulations. The platform's interface is designed for technical precision, allowing users to filter listings based on critical performance metrics. Beyond just the GPU model, the directory provides essential data on interconnect technologies—such as Infiniband 3.2 Tb, RoCE v2, and 400GbE Ethernet—which are vital for multi-node training efficiency. Each listing explicitly details the availability window, geographic location (ranging from North America and Europe to Asia and the Middle East), and the minimum commitment terms. Users can see at a glance whether a cluster requires a one-week minimum or a multi-year contract, as well as the specific quantity of GPUs available in a given pod. For buyers, the platform offers a competitive landscape to find the best price-per-hour rates, often uncovering deals from boutique cloud providers or secondary markets that are not visible on major hyperscalers. The Verified badge system helps mitigate risk by highlighting listings that have undergone a check by the gpulist team. For compute providers, gpulist.ai acts as a powerful lead generation tool, allowing them to post their idle or upcoming capacity to a highly targeted audience of AI researchers and infrastructure leads. This dual-sided marketplace model helps stabilize the supply chain for AI compute by ensuring that existing hardware is utilized to its full potential. Ultimately, gpulist.ai is an essential resource for any professional involved in the AI infrastructure stack. Whether a startup is looking for a single node of RTX 4090s for development or an enterprise is seeking thousands of B200s for foundation model training, the platform provides the granular visibility needed to make informed purchasing decisions. It moves the industry away from opaque, relationship-based procurement toward a more open, data-driven marketplace, reflecting the fast-paced and high-demand nature of modern artificial intelligence development.
Pros & Cons
Aggregates over $2.5 billion in GPU listings across global providers.
Provides detailed interconnect specs like Infiniband 3.2 Tb and RoCE v2 for high-performance networking.
Includes hard-to-find next-generation hardware like NVIDIA B200 and H200.
Allows filtering by specific geographic regions like the USA, EU, China, and Japan.
Clear visibility into minimum contract lengths and required GPU quantities.
Many listings are currently unverified, which may increase risk for new buyers.
Minimum commitments can be high, with many enterprise clusters requiring a 52-week contract.
Marketplace focus means pricing is subject to high volatility based on global demand.
Use Cases
ML Engineers can source specific H100 clusters with Infiniband interconnects to train large-scale models without waiting for public cloud quotas.
AI Startups can compare hourly rates across global regions to minimize burn rate while securing long-term compute contracts.
Infrastructure Managers can post idle cluster capacity to a centralized marketplace to find enterprise tenants and recover hardware costs.
Research Institutions can find short-term availability for specific hardware like AMD MI355Xs for comparative benchmarking.
Data Center Operators can use the platform to benchmark their pricing against the global market for specific GPU configurations.
Platform
Task
Features
• direct contact for cluster procurement
• hardware-specific search (h100, b200, etc.)
• price-per-hour comparisons
• minimum commitment transparency
• verified provider badge system
• global provider geographic filtering
• detailed interconnect technology specs
• real-time gpu availability directory
FAQs
What types of GPUs can be found on gpulist.ai?
The platform lists a wide variety of high-end hardware including NVIDIA H100, H200, B200 (Blackwell), A100 (80GB/40GB), and AMD MI355X. It also features consumer-grade cards like the RTX 5090 and 4090, as well as enterprise L40S and RTX PRO 6000 models.
What does the 'Verified' status mean on a listing?
A 'Verified' tag indicates that the platform has performed a check on the listing to ensure the provider and their hardware availability are authentic. Unverified listings are also shown but may require additional due diligence from the buyer.
Are there minimum rental periods for these GPU clusters?
Yes, most listings specify a minimum commitment period, which can range from as little as 1 week to as long as 104 weeks. These terms are set by the individual provider and are clearly visible on the listing summary.
What interconnect options are available for multi-node training?
Listings include detailed interconnect specifications such as Infiniband 3.2 Tb, Infiniband NDR 400Gb/s, RoCE v2, and various speeds of Ethernet (100GbE to 400GbE). This information is critical for users needing to scale workloads across multiple GPUs.
Pricing Plans
Marketplace Access
Free Plan• Browse global GPU listings
• Filter by interconnect type
• View availability dates
• Access verified provider details
• Compare price per GPU/hour
• Filter by geographic location
• Check minimum commitment terms
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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