What is Foundry?
Foundry is a cloud platform providing on-demand access to high-performance NVIDIA GPUs for AI development. It offers flexible options like reserved and spot instances to optimize cost and performance. Researchers, engineers, and scientists benefit from its high-bandwidth networking, scalable infrastructure, and robust security features. Foundry eliminates the need for long-term contracts and provides a reliable environment for AI training, fine-tuning, and inference workloads.
Key Features:
Reserved Instances🗓️: Reserve GPUs for guaranteed availability and performance over a specific period. Resell unused capacity to generate credits and manage costs effectively.
Spot Instances💰: Access cost-efficient GPUs with up to 20x price-performance improvement. Set maximum prices and leverage programmatic scaling for flexible workload management.
High-Performance Networking🔗: Utilize NVIDIA GPUs with 3.2 Tbps Infiniband for optimized distributed training and efficient data transfer.
Native Kubernetes Integration☸️: Simplify container orchestration and workload scaling using native Kubernetes support.
Enterprise-Grade Security🛡️: Benefit from SOC2 Type II certified infrastructure, multi-layer security protocols, and granular access control for enhanced data protection.
Use Cases:
AI Research & Development:A research team can leverage Foundry's reserved instances to guarantee consistent access to high-performance GPUs for training complex deep learning models without the constraints of long-term contracts. They can adjust their reserved capacity as needed and resell unused resources, optimizing costs for their research projects.
Machine Learning Model Training:An AI engineer can use Foundry's spot instances to train a large language model cost-effectively. By setting a maximum price for compute resources, they can take advantage of fluctuating market prices and scale their training infrastructure up or down based on workload demands.
Rapid Prototyping & Experimentation:A startup can utilize Foundry's on-demand GPUs and Kubernetes integration to quickly prototype and experiment with new AI applications. They can easily provision and manage GPU clusters, accelerating their development cycle and reducing time to market for innovative AI solutions.
Conclusion:
Foundry empowers AI developers with a flexible, scalable, and secure platform to accelerate their work. Its on-demand access to high-performance NVIDIA GPUs, combined with cost-effective options and robust infrastructure, makes it an ideal solution for researchers, engineers, and scientists who demand the best for their AI workloads. Eliminate infrastructure limitations and focus on building cutting-edge AI solutions with Foundry.
FAQs:
What types of NVIDIA GPUs are available on Foundry?Foundry offers access to various NVIDIA GPUs, including H100s, A100s, A40s, and A5000s, catering to diverse AI workload requirements.
How do I manage costs with Foundry's reserved and spot instances?Reserved instances provide cost predictability and guaranteed availability, while spot instances offer cost savings for flexible workloads. You can resell unused reserved capacity and set maximum prices for spot instances to optimize your spending.
Is Foundry suitable for running large-scale distributed training jobs?Yes, Foundry's high-performance 3.2 Tbps Infiniband networking and native Kubernetes support enable efficient and scalable distributed training for demanding AI workloads.
More information on Foundry
Launched
2022-02
Pricing Model
Starting Price
Global Rank
2557254
Follow
Month Visit
8K
Tech used
Google Tag Manager,Framer,Google Fonts,Gzip,HTTP/3,OpenGraph,HSTS
Top 5 Countries
74.57%
8.33%
4.73%
3.64%
3.44%
United States
United Kingdom
Germany
India
France
Traffic Sources
5.16%
1.07%
3.53%
5.83%
29.45%
54.85%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 25, 2025)
Foundry was manually vetted by our editorial team and was first featured on 2024-12-05.
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