GPUs are now integrated into Aleph Cloud

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GPUs are now integrated into Aleph Cloud, providing high-performance computing for AI services, rendering, gaming, AI agents, and more.

We are proud to announce a significant milestone for our decentralized cloud ecosystem with the latest integration of GPUs. The new Aleph Cloud Core Channel Node application introduces GPU integration, a transformative feature that positions Aleph Cloud as a powerful and more competitive solution for high-performance computing needs. In addition, this release brings account management capabilities, pricing estimations, and a host of performance improvements, making Aleph Cloud an even more robust platform for developers and enterprises alike.

With GPU support, users can now unlock unparalleled computing power for tasks such as AI training, rendering, gaming, and running AI agents. By leveraging decentralized infrastructure, Aleph Cloud offers both scalability and flexibility at highly competitive prices, all through the convenience of a Pay-as-You-Go (PAYG) model using ALEPH tokens.

Table of contents

Article sections

1. Revolutionizing cloud computing with GPU integration

2. Enhanced Pay-As-You-Go model

3. New features for an optimized user experience

4. Unlocking new use cases with GPUs

5. Looking ahead

Revolutionizing cloud computing with GPU integration

The integration of GPUs into Aleph Cloud marks a pivotal step forward. By enabling access to both consumer-grade and enterprise-grade GPUs, users can now select the exact resources they need through our intuitive interface at console.twentysix.cloud. This empowers them to scale their workloads seamlessly, whether they are building machine learning models, rendering complex graphics, or powering cloud-based gaming platforms.

Each GPU model is paired with specific vCPU, RAM, and disk allocations, ensuring peak performance for any workload. For example, an RTX 4090, ideal for gaming or smaller AI projects, will cost around* $240 per month**, while an enterprise-grade H100, designed for data-intensive operations, costs approximately $1,920 per month*.

Enhanced Pay-As-You-Go model

Aleph Cloud’s PAYG model is designed to offer flexibility and cost transparency, a critical advantage for businesses and developers. With ALEPH tokens as the exclusive payment method, users can enjoy a seamless payment experience across blockchains like Base, and Avalanche. This ensures not only affordability but also accessibility to a global audience.

Additionally, when a user provisions a GPU-powered virtual machine and initiates a payment, the system will automatically create two payment streams. 80% of the payment will be allocated directly to the node operator providing the compute power, while 20% will contribute to the Aleph Cloud treasury. This model ensures a fair and sustainable distribution of resources, incentivizing node operators while also reinvesting in the continued growth and development of the Aleph Cloud ecosystem.

The pricing structure is straightforward yet highly competitive. For instance:

• Consumer GPUs like the RTX 4090 are priced at ~$111 per month, while an RTX 4000 ADA costs only ~$55 per month.**
• Enterprise GPUs such as the A100 and H100 are geared towards intensive tasks, priced at ~$875 and ~$583 per month, respectively.*

This transparent structure enables users to budget accurately, scaling their resources as their projects evolve.

GPU

AWS

GCP

Runpod

Aleph Cloud

H100

$9 132,60

$8 228,64

$1 480,56

$874,94

A100

$3 047,61****

$2 730,48

$885,36

$583,30

L40S

$587,76

$223,20

RTX 4090

$252,96

$111,60

RTX 3090

$163,68

$74,40

New features for an optimized user experience

In addition to GPU integration, this release introduces several features aimed at enhancing performance and usability. Among the key highlights:

• Aggregates Caching: By implementing caching for owner aggregates and metrics data, the platform now offers faster response times and smoother performance.
• **Pricing Estimation: **Users can now estimate the cost of executable messages before sending them, providing greater transparency and control.
• **Pre-Calculated Balances: **This feature significantly improves system performance by reducing computational overhead.
• **Cost Service Updates: **The cost service now uses pricing aggregates for more accurate estimations.

These enhancements collectively make Aleph Cloud more reliable and user-friendly, reinforcing its position as a leading solution for decentralized cloud computing.

Unlocking new use cases with GPUs

The addition of GPUs extends Aleph Cloud’s capabilities to serve a diverse range of industries and applications:

• **AI and Machine Learning: **Train and deploy machine learning models faster and more efficiently.
• Rendering: Create stunning visual effects and high-quality 3D graphics with reduced rendering times.
• Gaming: Deliver seamless, high-performance experiences for cloud gaming platforms.
• AI Agents: Power advanced AI agents with robust, decentralized computing resources.

These use cases showcase the versatility of Aleph Cloud’s GPU offering, making it a compelling choice for developers, creators, and businesses alike.

Looking ahead

The release of GPU integration and the accompanying features represents a significant leap forward for Aleph Cloud and its community. As we continue to enhance our platform, we remain committed to empowering users with the tools they need to innovate, scale, and succeed in a decentralized world.

To explore these new features and start leveraging GPUs on Aleph Cloud, **visit **console.twentysix.cloud today. For more updates, follow us on Twitter and join our Discord community. Together, let’s redefine the future of cloud computing.

** Those pricing are converted in USD from the current price of ALEPH token. This data should evolve in time*

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