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LiquidWeb

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Overview of LiquidWeb

LiquidWeb's GPU hosting stands out as a reliable solution for businesses and professionals seeking high-performance computing.


The availability of NVIDIA GPUs like the A100, L40S, and L4, combined with bare-metal servers, ensures robust performance for AI/ML, HPC, and rendering tasks.


Pre-configured stacks simplify deployment, while managed services reduce operational overhead.


While pricing is higher than some competitors, the level of support and dedicated resources justify the investment for many users.


LiquidWeb's customer support is generally excellent, and the platform's scalability allows businesses to adapt to changing demands.


Consider LiquidWeb if you value reliability, managed services, and dedicated resources for your GPU-accelerated workloads.

Pros

  • Excellent customer support provided
  • Bare-metal servers available
  • Pre-configured stacks simplify deployment
  • Managed services reduce overhead
  • Good performance for AI/ML

Cons

  • Higher pricing than competitors
  • Support delays occasionally reported
  • Expensive for smaller projects

Main Features

NVIDIA GPU Options

LiquidWeb provides a selection of NVIDIA GPUs, including the A100, L40S, and L4. These GPUs cater to diverse needs, from AI/ML training to inference and virtual workstations. Performance is application-dependent, but these GPUs generally deliver strong results for demanding tasks. The availability of different models allows users to select the most appropriate hardware for their specific workloads and budget.

Bare-Metal Servers

LiquidWeb's bare-metal GPU servers provide dedicated resources, ensuring consistent performance and eliminating the noisy neighbor effect often seen in virtualized environments. This dedicated hardware gives users greater control over the server configuration and allows for optimized performance tuning. Bare metal is ideal for applications requiring maximum performance and minimal latency.

Pre-configured GPU Stack

LiquidWeb simplifies GPU server deployment with pre-configured stacks. These stacks include necessary drivers, libraries, and frameworks, reducing setup time and complexity. This feature is particularly beneficial for users who want to quickly get started with their GPU-accelerated applications without spending time on configuration and compatibility issues.

Managed Services

LiquidWeb's managed services handle server administration tasks such as monitoring, security, and updates. This allows users to focus on developing and deploying their applications rather than managing infrastructure. The managed services offering provides peace of mind and reduces the operational overhead associated with GPU server management.

Scalability

LiquidWeb enables users to scale their GPU resources as needed with multi-GPU configurations. This scalability is crucial for handling growing workloads and complex projects. Users can easily add more GPUs to their servers to accelerate training times or increase processing capacity. This flexibility ensures that users can adapt their infrastructure to meet evolving demands.

GPU Models

NVIDIA A100
L40S
L4

Supported Frameworks

PyTorch
TensorFlow
CUDA
Docker

GPU Use Cases

AI/ML training
HPC
Rendering

Pricing

Check their website for plans and pricing details.

Check pricing on LiquidWeb