Oracle Cloud Infrastructure Compute

Oracle Cloud Infrastructure Compute

Oracle From United States

Offering fast and flexible compute capacity, Oracle Cloud Infrastructure Compute caters to diverse workload requirements with performant bare metal servers, VMs, and lightweight containers. Users can customize core and memory configurations to optimize costs while benefiting from high-performance resources, including NVIDIA GPUs for advanced processing and seamless integration with Kubernetes.

25 votes

Top Oracle Cloud Infrastructure Compute Alternatives

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1 XRCLOUD

XRCLOUD

XRCLOUD offers a powerful Cloud GPU service, enabling real-time, high-speed parallel computing for applications like machine learning, 3D visualization, and scientific research. Utilizing NVIDIA® Quadro RTX™ 6000 GPUs, it provides unparalleled performance with multi-GPU scalability and advanced features for rapid deployment and management, ensuring efficient resource handling.

XRCLOUD.net Inc From United States
2 Dataoorts GPU Cloud

Dataoorts GPU Cloud

Designed specifically for AI developers, Dataoorts GPU Cloud offers optimized GPU instances for machine learning, deep learning, and artificial intelligence tasks. With advanced DDRA technology, instances spin up in seconds, ensuring high speed and efficiency. Pre-configured with essential tools, it provides a streamlined environment for development and scalable, cost-effective solutions.

Dataoorts From United States
4 votes
3 Qubrid AI

Qubrid AI

The Qubrid AI platform empowers users to deploy AI securely and efficiently, focusing on manageability and scalability. It supports both on-premises and GPU Cloud environments, enabling the use of popular open-source models and custom containers. Users can leverage advanced tools for monitoring, creating, and refining AI applications seamlessly.

Qubrid AI From United States
4 Hyperbolic

Hyperbolic

Offering accessible and scalable GPU resources, this innovative platform revolutionizes AI services with remarkable affordability. Users can start in seconds, leveraging powerful A100 and H100 GPUs while enjoying the lowest market prices. It empowers individuals, companies, and researchers to monetize idle machines and optimize computational expenses, fostering a collaborative ecosystem.

Hyperbolic From United States
1 vote
5 Brev.dev

Brev.dev

Streamlined for developers, Brev.dev offers instant access to NVIDIA GPU instances across major cloud platforms. With automatic environment setups and user-friendly Launchables, it simplifies the deployment of AI tools, enabling rapid experimentation and model training. Users can effortlessly configure resources, ensuring efficiency and flexibility in their AI projects.

NVIDIA From United States
6 IBM GPU Cloud Server

IBM GPU Cloud Server

The IBM GPU Cloud Server empowers businesses to accelerate AI and data processing tasks with NVIDIA GPUs tailored for diverse applications. With an exclusive $1,500 discount for three months, users gain efficient, scalable access to high-performance computing. This solution integrates seamlessly into existing infrastructures, enhancing productivity and innovation.

IBM From United States
7 TensorDock

TensorDock

Offering the most economical cloud GPU services, TensorDock provides access to a diverse range of powerful virtual machines tailored for deep learning, AI, and rendering. With cutting-edge Intel Xeon and AMD EPYC processors, users can deploy servers in seconds, enjoying root access, dedicated GPUs, and transparent pricing without hidden fees.

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8 RunPod

RunPod

RunPod provides a robust cloud platform tailored for AI workloads, enabling users to develop, train, and scale AI models effortlessly. With on-demand access to powerful GPUs like the NVIDIA A100 and RTX 3090, it streamlines machine learning processes, supports serverless deployment, and offers real-time analytics for agile decision-making.

RunPod From United States
9 GMI Cloud

GMI Cloud

Offering flexible access to top-tier GPUs, GMI Cloud enables businesses to effortlessly build scalable AI solutions. With robust AI/ML ops tools and quick deployment options, organizations like DeepTrin and LegalSign.ai have optimized their infrastructure while significantly reducing costs, paving the way for innovative AI development and deployment.

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10 io.net

io.net

With io.net, users can effortlessly deploy custom AI models and smart agents on a decentralized infrastructure, accessing a robust global network of GPUs across 139 countries. The platform offers instant deployment, flexible clusters, and competitive pricing, allowing individuals to monetize their GPU resources while ensuring sustainability and security compliance.

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11 GPU Mart

GPU Mart

Offering a range of GPU hosting services, GPU Mart provides powerful options for both dedicated and virtual servers, including models like RTX 4090 and A5000. Each server is tailored for intensive tasks, ensuring rapid processing and 24/7 expert support, enhancing productivity in deep learning and complex simulations.

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12 Cirrascale

Cirrascale

Cirrascale offers cloud-based solutions designed to streamline development, training, and inference workloads. By partnering with leading accelerator providers, it delivers high-throughput storage and efficient multi-GPU configurations. Users benefit from zero data transfer fees, high bandwidth, and tailored support, ensuring optimized workflows and enhanced performance for AI projects.

Cirrascale Cloud Services From United States
13 NodeShift

NodeShift

NodeShift revolutionizes cloud computing with its decentralized platform, delivering reliable, scalable, and secure services worldwide. By aggregating independent data centers and leveraging existing solutions like Akash and Filecoin, it offers affordable compute and GPU virtual machines. Users enjoy enhanced privacy and resilience, ensuring data continuity even amid outages.

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14 Apolo

Apolo

Apolo transforms data centers into AI powerhouses by seamlessly integrating leading AI workflows, such as OpenAI and Llama. It provides tailored GPU-as-a-Service solutions, ensuring optimal hardware configurations and enterprise-grade support. With a unified platform for AI development tools, Apolo empowers organizations to leverage AI effectively, aligning technology with specific business goals.

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15 GPUEater

GPUEater

GPUEater leverages cutting-edge persistence container technology for rapid, lightweight operation, allowing users to access high-performance GPU resources on a pay-per-use basis within seconds. Ideal for demanding applications such as deep learning, molecular modeling, and VFX, it promises exceptional value at a lower cost and is set to be installed in the world's fastest supercomputer.

gpu eater From United States

Company Information

  • Company: Oracle
  • Country: United States