Akash Network's Mainnet 8 Update Elevates the Capabilities for Cloud GPU Services

Decentralized cloud platform Akash Network Recently, Akash Network unveiled a major advancement in its cloud services with the rollout of Mainnet 8. This upgrade incorporates essential improvements aimed at making GPU access more straightforward, thus enhancing the overall experience of deployment.

Akash Network emphasized that Mainnet 8 launches at a pivotal moment as the need for high-performance GPUs is growing rapidly with the increased integration of advanced computing technologies. large language models (LLMs) and AI applications.

Greg Osuri, the founder of Akash Network, explained to Metaverse Post, 'With Mainnet 8, we're making it easier for users to adopt the Akash Supercloud by streamlining the deployment process, ensuring that developers looking for alternative cloud solutions can train and fine-tune their AI models with greater ease.'

To meet the rising difficulties encountered by both established corporations and nimble startups in obtaining necessary resources, there's a noticeable shift towards alternative cloud platforms like Akash. The upgrades introduced through Mainnet 8 aim to tackle these obstacles through various enhancements, primarily enhancing GPU accessibility. GPU Osuri noted, 'As big companies and agile startups continue to find it challenging to access high-performance computing resources, we've seen a marked increase in GPU usage on Akash, measurable in terms of USD transactions linked to $AKT, since we launched our GPU marketplace with Mainnet 6 last August.'

'We are witnessing a growing influx of both service providers and users on the network, allowing us to provide a wide range of sought-after GPUs, from A100s and L40s to RTX-8000s and RTX-3090s,' he added. 14x Improving GPU Visibility for Large Language Models and Decentralized Networks

Akash Network indicated that the Mainnet 8 upgrade sets the stage for a more straightforward and user-friendly deployment process. By enabling users to enter the network with a preset budget and define GPU characteristics during the bidding phase, Akash strives to enhance the overall deployment experience considerably. Nvidia Before this upgrade, the bids did not feature specific GPU model metrics, complicating the decision-making process for users while selecting service providers. With the changes in Mainnet 8, bids now come with detailed GPU model specifications, including vendor information and model type (e.g., NVIDIA A100 GPU).

'The Mainnet 8 upgrade ensures that provider bids on the network include vital information regarding the GPU vendor and model, allowing our deployment clients, like Cloudmos Deploy, to display these details in the deployment interfaces,' Osuri remarked.

The comprehensive 'resources_offer' section provided by Akash Providers becomes invaluable when specific GPU types are required for a deployment. This transparency enables users to make well-informed choices that match their application needs.

Since launching the GPU marketplace in the Mainnet 6 upgrade, the network has seen a steady increase in usage.

'The Akash Supercloud's rising popularity has been fueled by the ongoing GPU shortage in the market, particularly as major corporations have recently had to restrict sign-ups for their AI software or look to alternative providers for continuity in their operations,' Osuri stated to Metaverse Post. 'This trend is part of a larger movement where AI developers are increasingly gravitating towards niche cloud solutions such as Akash, which provide access to idle GPUs from sources like previous Ethereum miners for fine-tuning and training AI applications.'

Osuri attributed the increase not just to the commencement of Akash-Thumper AI foundation model training — a first for decentralized platforms — but also to the continuous development of SDXL on Akash. He added that the network is witnessing heightened interest from those seeking on-demand, high-performance computational capabilities.

'The collaboration with Thumper.ai allows us to retrain a pixart-alpha model using a CC0 dataset. This marks a pioneering achievement in a distributed framework, as Akash is addressing copyright concerns while rigorously testing the network's capabilities by supplying a cluster of 32 Nvidia A100s (80GB) through a singular provider, enabling Thumper to code, train, and open-source its model,' Osuri shared.

The cloud platform has recently introduced a user-friendly application that allows users to create AI images using the Stable Diffusion XL (SDXL) model. Individuals can generate high-quality AI imagery across various GPU models made available via Akash, including Nvidia L40, A100, and V100.

Akash Network reports that its SDXL capabilities have already produced over 30,000 images, reflecting the strong demand for such applications.

We added an additional 8 A100s last night. A comprehensive case study on the entire development process and our strategies revolving around SDXL on Akash is also underway.

'Unlike other solutions that require businesses to overhaul their current infrastructure or are only suited for brief batch jobs, we enhance existing IT frameworks, giving developers more autonomy over their application deployment locations,' Osuri explained to Metaverse Post. 'We have effectively managed the balance of supply and demand since aggregating a sufficient quantity of lower-end GPUs for substantial AI workloads has proven challenging. Hence, we focus on high-performance, high-density GPUs such as A100s and L40s, which have allowed us to navigate cold-start issues when many in this area struggle.' Stability AI The Mainnet 8 upgrade from Akash Network represents a proactive adjustment to the rapidly changing world of AI applications, enhancing GPU accessibility and facilitating a more efficient deployment process, which is vital for the ongoing expansion and consumer interest in AI systems.

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30,000 images generated.

Victor serves as the Managing Tech Editor/Writer at Metaverse Post, focusing on topics like artificial intelligence, cryptocurrency, data science, the metaverse, and cybersecurity within business environments. With five years of media and AI sector experience at prominent media outlets like VentureBeat, DatatechVibe, and Analytics India Magazine, along with a Master’s degree in data science and analytics, Victor actively mentors media students at distinguished universities including Oxford and USC while diligently keeping up with emerging industry trends.

Currently active GPUs:
• L40
• A100
• V100
• RTX-8000
• RTX-3090 pic.twitter.com/ZGwfl5EYom

— Zach Horn ⟁ (@zacharyhorn) November 14, 2023

He delivers readers the latest and most insightful stories from the technology and Web3 sectors.

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