Powering global inference, media delivery, and developer productivity

Powerful AI inference

The NVIDIA A16 GPU thrives in AI inference, processing large data volumes to run pre-trained AI models swiftly, supporting real-time analytics for quick decision-making. This is vital in healthcare for rapid diagnosis, and in finance and retail for fraud detection and personalized services

Superior transcoding quality

Excelling in real-time media delivery, the NVIDIA A16 GPU rapidly transcodes diverse video formats at the edge to reduce buffering and improve viewer experiences. Its powerful performance enables media companies to efficiently deliver high-quality content across multiple platforms.

Enhanced virtual desktops

The NVIDIA A16 GPU delivers low-latency and high-performance for VDI applications, enhancing virtual desktops that empower developers and data scientists to remotely build videos, models, and manage complex workloads with the power of a local machine.

Supercharging remote productivity and AI workloads

Explore how the NVIDIA A16 GPU powers high-performance virtual desktops, real-time video transcoding, and accelerated AI inference through Vultr Cloud GPU.

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Scalable inference, dynamic media delivery, and innovated development

Edge inference: Accelerated analytics

The NVIDIA A16 GPU enables IT operations to seamlessly scale cost-effective, global inference capabilities at the data center edge. This is facilitated across Vultr's 32 global cloud data center locations, allowing rapid data processing and real-time decision-making closer to data sources, which reduces latency and enhances responsiveness.

Edge delivery: Optimized global media

Optimized for designers, the NVIDIA A16 GPU enhances the real-time delivery of rich media worldwide. This capability ensures high-quality content, including videos and complex graphics, is efficiently streamed across various platforms, maintaining high performance and user experience across any geographic location.

Edge development: Enhanced collaboration

The NVIDIA A16 GPU empowers developers and data scientists with high-performance virtual desktops accessible from any location across the globe. This support facilitates the secure development and deployment of new models and experiences, enabling innovation and creativity without the constraints of local hardware limitations.

Specifications

Our easy-to-use control panel and API let you spend more time coding and less time managing your infrastructure.

GPU Memory 4x 16GB GDDR6 with error-correcting code (ECC)
GPU Memory Bandwidth 4x 200 GB/s
Max power consumption 4x 16GB GDDR6 with error-correcting code (ECC)
Interconnect PCI Express Gen 4 x16
Form factor Full height, full length (FHFL) dual slot
Thermal Passive
vGPU Software Support
  • NVIDIA Virtual PC (vPC)
  • NVIDIA Virtual Applications (vApps)
  • NVIDIA RTX Workstation (vWS)
  • NVIDIA AI Enterprise
vGPU Profiles Supported
NVENC | NVDEC 4x | 8x (includes AV1 decode)
Secure and measured boot
with hardware root of trust
Yes (optional)
NEBS Ready Level 3
Power Connector 8-pin CPU

Low latency through global availability

Experience near-native desktop performance whenever you are.
Vultr's global network of 32 data centers, including locations with NVIDIA A16 or A40 GPUs, ensures optimal performance for VDI, transcoding, and inference tasks.

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Chicago, Illinois United States
Miami, Florida United States
Amsterdam Netherlands
New Jersey United States
Dallas, Texas United States
Paris France
Mexico City Mexico
São Paulo Brazil
Madrid Spain
Warsaw Poland
Tokyo Japan
Seattle, Washington United States
Los Angeles, California United States
Silicon Valley , California United States
Singapore
Atlanta, Georgia United States
London United Kingdom
Frankfurt Germany
Sydney Australia
Melbourne Australia
Toronto Canada
Seoul South Korea
Stockholm Sweden
Honolulu, Hawaii United States
Mumbai India
Bangalore India
Delhi NCR India
Santiago Chile
Tel Aviv-Yafo Israel
Johannesburg South Africa
Osaka Japan
Manchester United Kingdom
29 locations

Additional resources

Docs, demos, and information to help you succeed with your machine learning projects.

Get started, or get some advice

Start your GPU-accelerated project now by signing up for a free Vultr account.
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