The Akash Supercloud has added NVIDIA H200 GPUs to its decentralized computing marketplace, expanding access to high-performance AI compute. With nearly double the memory capacity of H100s and 2x faster inference speeds for AI models, H200s provide a crucial infrastructure upgrade for decentralized AI development.
What Makes the NVIDIA H200 Stand Out?
H200s bring key improvements over their predecessor, the H100, making them an attractive option for AI researchers, developers, and enterprises looking for scalable and cost-effective GPU resources. The H200 features:
141Gi SXM5 memory, nearly double that of H100s, allowing for more efficient model training and inference.
2x faster AI inference, optimizing performance for AI workloads, including large-scale open-source models like Llama.
Support for high-performance computing (HPC) and AI applications, reducing bottlenecks in training deep learning models.
Decentralized AI Compute on Akash
Unlike traditional cloud providers, Akash offers a permissionless marketplace for compute, allowing users to access powerful GPUs without relying on centralized entities. The introduction of H200s enhances Akash’s capacity to serve AI researchers, startups, and enterprises seeking a decentralized alternative for GPU access.
The demand for AI compute continues to rise, with centralized cloud providers controlling access and pricing. Akash aims to disrupt this model by making high-performance GPUs available in an open marketplace, ensuring accessibility and cost efficiency.
Future Availability and Growth
Additional H200 GPUs are expected to be integrated into the network soon. As AI development scales and demand for decentralized compute grows, Akash is positioning itself as a key player in the emerging decentralized AI infrastructure space.
Users interested in deploying AI workloads on Akash can track GPU availability and pricing through the Akash marketplace.
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