Top 10 GPU Server Alternatives & Competitors

Top 10 Alternatives to GPU Server Recently Reviewed By G2 Community

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IBM Z
By IBM
4.5/5
(89)
Product Description
The world is in the midst of a digital transformation. As businesses adapt to capitalize on digital, trust will be the currency that drives this new economy. Trust is why 10 of the top 10 insurance organizations, 44 of the top 50 banks and 90% of the largest airlines run on IBM Z mainframes.
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Categories in common with GPU Server:
Storage Servers

HPE Servers
By HP Development Company
4.6/5
(19)
Product Description
Configure HPE Servers with high-performing, reliable, and secure HPE Server Options that efficiently accelerate the range of applications and data in your hybrid infrastructure.
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Categories in common with GPU Server:
Storage Servers

QNAP NAS
By QNAP Systems
3.9/5
(16)
Product Description
QNAP NAS delivers high-quality network attached storage (NAS) and professional network video recorder (NVR) solutions.
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Categories in common with GPU Server:
Storage Servers
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Veritas Backup Appliances
By Cohesity
4.4/5
(5)
Product Description
NetBackup Appliances integrate multiple components into a single device, streamlining management, operation, and supportand saving you money and critical IT resources. Tight integration with NetBackup software gives you a way to cut costs and remove complexity across the entire organization.
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Categories in common with GPU Server:
Storage Servers

NVIDIA DGX-2
By NVIDIA
3.4/5
(4)
Product Description
The NVIDIA DGX-2 is a high-performance AI system designed to tackle the most complex artificial intelligence challenges. As the world's first 2 petaFLOPS system, it integrates 16 NVIDIA V100 Tensor Core GPUs, delivering exceptional computational power for large-scale AI projects. This system is engineered to handle extensive training datasets and intricate deep learning models, enabling organizations to accelerate their AI initiatives effectively. Key Features and Functionality: - Exceptional Compute Power: Equipped with 16 NVIDIA V100 Tensor Core GPUs, the DGX-2 offers a total of 512 GB of GPU memory, facilitating the processing of substantial training datasets and complex models. - Revolutionary AI Network Fabric: The NVSwitch networking fabric provides 2.4 terabytes per second (TB/s of bisection bandwidth, enhancing model parallelism and significantly improving data throughput. - Scalable Architecture: Designed with scalability in mind, the DGX-2 supports enterprise-grade AI cloud infrastructure, allowing organizations to expand their AI capabilities as needed. - Integrated AI Expertise: Access to NVIDIA DGXperts, a global team of over 14,000 AI professionals, ensures that users can maximize the value of their DGX investment through expert guidance and support. Primary Value and Problem Solving: The NVIDIA DGX-2 addresses the growing demands of modern AI and deep learning by providing a unified, high-performance platform capable of handling large-scale computations. Its integration of 16 GPUs and advanced networking fabric allows for faster training times and the ability to work with more complex models, reducing the time to insight. By offering a scalable and enterprise-grade solution, the DGX-2 enables organizations to build and deploy AI applications more efficiently, ultimately driving innovation and competitive advantage in their respective fields.
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Categories in common with GPU Server:
Storage Servers

PowerStore
By Dell Technologies
4.5/5
(3)
Product Description
Dell PowerStore is a scalable, all-flash storage appliance engineered to address modern IT challenges by delivering exceptional performance, intelligent automation, and enterprise-grade features. Its future-proof architecture ensures adaptability to evolving workloads, while advanced data reduction technologies and AI-driven simplicity optimize storage efficiency and management. Recognized for its ease of use, PowerStore serves as a robust platform to automate, accelerate, and safeguard diverse workloads. Key Features and Functionality: - High Performance: PowerStore offers up to 30% faster workload processing, enhancing application responsiveness and overall system efficiency. - Advanced Data Reduction: With an industry-leading 5:1 data reduction guarantee, PowerStore maximizes storage capacity through always-on, hardware-assisted compression, global deduplication, and thin provisioning. - Energy Efficiency: Achieving up to 54% lower energy costs, PowerStore supports sustainable operations without compromising performance. - Simplified Management: The platform provides intuitive management through PowerStore Manager, REST APIs, VMware integrations, and DevOps toolkits like Ansible and Terraform, complemented by built-in cloud-based analytics. - Scalability: PowerStore's modular design allows seamless capacity expansion, supporting up to 4.52 petabytes per appliance and 18.06 petabytes per cluster, accommodating growing data demands. - Comprehensive Security: Features include FIPS 140-2 encryption, secure snapshots, multi-factor authentication, and KMIP-compliant key management, ensuring robust data protection. Primary Value and User Solutions: PowerStore addresses critical IT needs by offering a flexible, efficient, and secure storage solution that adapts to diverse workloads. Its high performance and advanced data reduction capabilities enable organizations to handle demanding applications while optimizing storage utilization. The platform's energy efficiency supports sustainable operations, and its simplified management tools reduce administrative overhead. Scalability ensures that businesses can grow their storage infrastructure in line with data expansion, and comprehensive security features protect sensitive information, making PowerStore a valuable asset for modern enterprises.
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Categories in common with GPU Server:
Storage Servers

HPE ProLiant DL360
By HP Development Company
4.5/5
(1)
Product Description
HPE ProLiant DL360 Gen10 server delivers security, agility and flexibility without compromise. It supports the Intel Xeon Scalable processor with up to a 60% performance gain.
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Categories in common with GPU Server:
Storage Servers

Oracle SPARC Servers
By Oracle
5/5
(1)
Product Description
Oracle's SPARC family of enterprise servers on premises or in the cloud, the client will obtain exceptional performance, effortless security, and breakaway performance for your enterprise, database, Java, and analytics applications.
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Categories in common with GPU Server:
Storage Servers

NVIDIA DGX-1
By NVIDIA
4/5
(1)
Product Description
The NVIDIA DGX-1 is a purpose-built deep learning system designed to accelerate AI research and development. Combining powerful hardware with an optimized software stack, it delivers exceptional computational performance, enabling data scientists and researchers to train complex deep neural networks efficiently. The DGX-1 integrates eight NVIDIA Tesla V100 GPUs, interconnected via NVIDIA NVLink, providing up to 1 petaFLOPS of half-precision (FP16 performance. This system is engineered to handle the most demanding AI workloads, offering a turnkey solution that simplifies deployment and accelerates time to insight. Key Features and Functionality: - High-Performance GPUs: Equipped with eight NVIDIA Tesla V100 GPUs, each featuring 32GB of memory, the DGX-1 delivers unparalleled processing power for deep learning tasks. - Advanced Interconnectivity: Utilizes NVIDIA NVLink technology, providing high-speed GPU-to-GPU communication at 300 GB/s per GPU, significantly enhancing data throughput and reducing training times. - Comprehensive Software Stack: Comes pre-installed with the NVIDIA Deep Learning GPU Training System (DIGITS, CUDA Deep Neural Network library (cuDNN, and optimized versions of popular deep learning frameworks such as TensorFlow, PyTorch, and Caffe, facilitating seamless development and deployment of AI models. - Robust Storage and Memory: Features 512GB of system memory and a 7TB SSD deep learning cache, ensuring efficient data handling and storage capabilities. - Scalable Networking: Includes dual 10GbE and quad InfiniBand 100Gb networking interfaces, supporting high-bandwidth data transfer and scalability for large-scale AI projects. Primary Value and Problem Solved: The NVIDIA DGX-1 addresses the computational challenges inherent in deep learning and AI research by providing a fully integrated, high-performance system that accelerates model training and deployment. By delivering the equivalent performance of hundreds of traditional servers in a single unit, the DGX-1 reduces infrastructure complexity, lowers operational costs, and shortens development cycles. This enables organizations to focus on innovation and discovery, transforming vast datasets into actionable insights more rapidly and effectively.
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Categories in common with GPU Server:
Storage Servers

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