Vultr has made accelerated computing affordable by virtualizing the industry-leading GPU for machine learning: the NVIDIA A100. Our unique approach partitions physical GPUs into discrete virtual GPUs, each with their own memory and compute. Perfect for AI inference, NLP, voice recognition, and computer vision.
With Vultr, it’s easy to provision NVIDIA A100 GPUs with the end-to-end, integrated NVIDIA hardware and software stack. The NVIDIA NGC Catalog image provides full access to NVIDIA AI Enterprise. An end-to-end, secure, cloud native suite of AI software, NVIDIA AI Enterprise accelerates the data science pipeline and streamlines the development and deployment of predictive artificial intelligence (AI) models. Vultr makes NVIDIA’s latest AI innovations accessible and affordable for everyone.
Build and Run GPU Accelerated Docker Containers via the NVIDIA NGC and Jupyter...
Powerful Python distribution system primarily focused on data science and ML.
Vultr offers a global cloud GPU platform, allowing you to place your GPU servers close both to your applications’ end users, and to the regions where training data is first originated.
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Our easy-to-use control panel and API let you spend more time coding and less time managing your infrastructure.
|A100 80GB PCIe||A100 80GB SXM|
|FP64 Tensor Core||19.5 TFLOPS|
|Tensor Float 32 (TF32)||156 TFLOPS | 312 TFLOPS*|
|BFLOAT16 Tensor Core||312 TFLOPS | 624 TFLOPS*|
|FP16 Tensor Core||312 TFLOPS | 624 TFLOPS*|
|INT8 Tensor Core||312 TFLOPS | 624 TFLOPS*||GPU Memory||80GB HBM2e||80GB HBM2e|
|GPU Memory Bandwidth||1,935 GB/s||2,039 GB/s|
|Max Thermal Design Power (TDP)||300W||400W ***|
|Multi-Instance GPU||Up to 7 MIGs @ 10GB||Up to 7 MIGs @ 10GB|
||NVIDIA HGX™ A100-Partner and NVIDIA-Certified Systems with 4,8, or 16 GPUs NVIDIA DGX™ A100 with 8 GPUs|
Docs, demos, and information to help you succeed with your machine learning projects.
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