About DeepSquare

The startup develops a decentralized cloud ecosystem utilizing blockchain technology for high-performance computing, enabling rapid data processing and complex calculations. This platform allows users to deploy web applications in an open network, enhancing efficiency and scalability while reducing reliance on centralized infrastructure.

<problem> Accessing high-performance computing (HPC) resources often requires navigating complex infrastructure and software configurations, limiting accessibility for many users. Traditional centralized cloud providers can be expensive and may lack transparency in resource allocation. </problem> <solution> DeepSquare provides a decentralized HPC ecosystem that aggregates computing power from various providers into a unified grid, making HPC resources more accessible. The platform simplifies job submission by abstracting runtimes into a user-friendly YAML format, replacing complex shell scripts. DeepSquare's meta-scheduler, deployed on a blockchain, ensures transparent and equitable resource allocation by matching user workloads to the most suitable compute provider. The platform supports containerization, parallelization technologies (MPI, NCCL), and hardware accelerators, enabling users to run a wide range of computing needs, including AI, rendering, and simulations. </solution> <features> - Decentralized HPC grid aggregating supercomputers from diverse providers - Simplified job submission using a YAML-based workflow definition - Transparent and fair resource allocation via a blockchain-based meta-scheduler - Support for containerization (OCI containers) and parallelization technologies (MPI, NCCL) - Compatibility with hardware accelerators, including GPUs and Infiniband - Support for interactive workflows with external network access - Billed per actual usage of compute resources, down to the minute - Kubernetes-based infrastructure orchestrator automates the deployment, management, and monitoring of compute-optimized clusters </features> <target_audience> The primary target audience includes AI engineers, researchers, developers, and businesses requiring high-performance computing resources for AI, rendering, simulations, and other computationally intensive tasks. </target_audience> <revenue_model> The DeepSquare ecosystem is powered by the DPS token on the Avalanche Network, which is used to reward infrastructure providers and consume compute resources on DeepSquare. </revenue_model>

What does DeepSquare do?

Where is DeepSquare located?

DeepSquare is based in Zug, Switzerland.

When was DeepSquare founded?

DeepSquare was founded in 2021.

How much funding has DeepSquare raised?

DeepSquare has raised 2500000.

Location

Zug, Switzerland

Founded

2021

Funding

2500000

Employees

16 employees

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DeepSquare

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Executive Summary

deepsquare.io 3K+

Crunchbase

Founded 2021 – Zug, Switzerland

Funding

Estimated Funding

$2M+

Team (15+)

No team information available.

Company Description

Problem

Accessing high-performance computing (HPC) resources often requires navigating complex infrastructure and software configurations, limiting accessibility for many users. Traditional centralized cloud providers can be expensive and may lack transparency in resource allocation.

Solution

DeepSquare provides a decentralized HPC ecosystem that aggregates computing power from various providers into a unified grid, making HPC resources more accessible. The platform simplifies job submission by abstracting runtimes into a user-friendly YAML format, replacing complex shell scripts. DeepSquare's meta-scheduler, deployed on a blockchain, ensures transparent and equitable resource allocation by matching user workloads to the most suitable compute provider. The platform supports containerization, parallelization technologies (MPI, NCCL), and hardware accelerators, enabling users to run a wide range of computing needs, including AI, rendering, and simulations.

Features

Decentralized HPC grid aggregating supercomputers from diverse providers

Simplified job submission using a YAML-based workflow definition

Transparent and fair resource allocation via a blockchain-based meta-scheduler

Support for containerization (OCI containers) and parallelization technologies (MPI, NCCL)

Compatibility with hardware accelerators, including GPUs and Infiniband

Support for interactive workflows with external network access

Billed per actual usage of compute resources, down to the minute

Kubernetes-based infrastructure orchestrator automates the deployment, management, and monitoring of compute-optimized clusters

Target Audience

The primary target audience includes AI engineers, researchers, developers, and businesses requiring high-performance computing resources for AI, rendering, simulations, and other computationally intensive tasks.

Revenue Model

The DeepSquare ecosystem is powered by the DPS token on the Avalanche Network, which is used to reward infrastructure providers and consume compute resources on DeepSquare.