Bitdeer Alternatives

Deploy GPU instances in seconds with AI-powered cloud computing, and optimize high-performance computing and infrastructure support with real-time monitoring and automation.
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Lambda

If you're looking for a Bitdeer alternative, there are a few options worth checking out. Lambda is a flexible cloud computing foundation that lets you provision on-demand and reserved NVIDIA GPU instances for AI training and inferencing. It supports a range of GPUs, including the NVIDIA H100, and offers features like scalable file systems, one-click Jupyter access and pay-by-the-second pricing that make it good for quickly provisioning and managing GPU instances.

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RunPod

Another good option is RunPod, a globally distributed GPU cloud that lets you run any GPU workload with immediate spinning up of GPU pods. It supports a range of GPUs and offers serverless ML inference, autoscaling and job queuing. RunPod offers a CLI tool for easy provisioning and deployment, 99.99% uptime and real-time logs and analytics, and flexible pricing depending on the GPU instance type and usage.

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Anyscale

Anyscale is also worth a look, particularly if you want a service that can run on the cloud and on your own premises. It offers workload scheduling, heterogeneous node control and cost savings of up to 50% on spot instances. Anyscale integrates with popular IDEs and offers native support for a wide range of AI models, making it a good choice for AI application development and deployment.

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Cerebrium

If you want a serverless environment, Cerebrium offers a pay-per-use model for training and deploying AI models. It promises ease of use with features like GPU variety, infrastructure as code and real-time logging and monitoring. Cerebrium's tiered plans and variable usage costs mean it can be a good option for engineers who want to scale their AI projects without breaking the bank.

More Alternatives to Bitdeer

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NVIDIA AI Platform

Accelerate AI projects with an all-in-one training service, integrating accelerated infrastructure, software, and models to automate workflows and boost accuracy.

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NVIDIA

Accelerates AI adoption with tools and expertise, providing efficient data center operations, improved grid resiliency, and lower electric grid costs.

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Salad

Run AI/ML production models at scale with low-cost, scalable GPU instances, starting at $0.02 per hour, with on-demand elasticity and global edge network.

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dstack

Automates infrastructure provisioning for AI model development, training, and deployment across multiple cloud services and data centers, streamlining complex workflows.

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Scaleway

Scaleway offers a broad range of cloud services for building, training, and deploying AI models.

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Aethir

On-demand access to powerful, cost-effective, and secure enterprise-grade GPUs for high-performance AI model training, fine-tuning, and inference anywhere in the world.

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DEKUBE

Scalable, cost-effective, and secure distributed computing network for training and fine-tuning large language models, with infinite scalability and up to 40% cost reduction.

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Anaconda

Accelerate AI development with industry-specific solutions, one-click deployment, and AI-assisted coding, plus access to open-source libraries and GPU-enabled workflows.

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AMD

Accelerates data center AI, AI PCs, and edge devices with high-performance and adaptive computing solutions, unlocking business insights and scientific research.

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Cerebras

Accelerate AI training with a platform that combines AI supercomputers, model services, and cloud options to speed up large language model development.

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Numenta

Run large AI models on CPUs with peak performance, multi-tenancy, and seamless scaling, while maintaining full control over models and data.

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Mystic

Deploy and scale Machine Learning models with serverless GPU inference, automating scaling and cost optimization across cloud providers.

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Gcore

Accelerates AI training and content delivery with a globally distributed network, edge native architecture, and secure infrastructure for high-performance computing.

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GPUDeploy

On-demand, low-cost GPU instances with customizable combinations of GPUs, RAM, and vCPUs for scalable machine learning and AI computing.

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Zerve

Securely deploy and run GenAI and Large Language Models within your own architecture, with fine-grained GPU control and accelerated data science workflows.

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Together

Accelerate AI model development with optimized training and inference, scalable infrastructure, and collaboration tools for enterprise customers.

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TrueFoundry

Accelerate ML and LLM development with fast deployment, cost optimization, and simplified workflows, reducing production costs by 30-40%.

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AIxBlock

Decentralized supercomputer platform cuts AI development costs by up to 90% through peer-to-peer compute marketplace and blockchain technology.

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EDB Postgres AI

Unifies transactional, analytical, and AI workloads on a single platform, with native AI vector processing, analytics lakehouse, and unified observability.

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DataStax

Rapidly build and deploy production-ready GenAI apps with 20% better relevance and 74x faster response times, plus enterprise-grade security and compliance.