Legacy-standard for AI & HPC
First GPU to exceed 100 TFLOPS, delivers 12× Tensor FLOPS training, 6× inference over Pascal.
Up to 130 TFLOPS DL Performance, HBM2 Memory & NVLink 2.0. Proven Volta Power for AI Training, Research & Multi-GPU Scaling.
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Single and multi-GPU V100 builds on bare metal. No setup fee, full root access, and unmetered 1/10/25 Gbps uplinks.
An engineer will reach out shortly to confirm availability and next steps.
Every server ships fully dedicated: no shared resources, no usage meters, no surprises.
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Volta GV100 silicon with up to 32 GB HBM2, first-gen Tensor Cores, and NVLink 2.0 for multi-GPU scaling.
A proven Volta building block: power-efficient rack scaling, NVLink multi-GPU, and deep CUDA/HPC integration.
First GPU to exceed 100 TFLOPS, delivers 12× Tensor FLOPS training, 6× inference over Pascal.
Maximum Efficiency Mode boosts rack throughput by 40% under constrained power.
NVLink enables efficient scaling and peer-to-peer access.
Supports CUDA, cuDNN, PyTorch, TensorFlow, MPI, and HPC libraries.
More affordable than newer GPUs; ideal for legacy or budget-aware infrastructure.
From deep-learning training to RAPIDS pipelines, see where the Tesla V100 changes what your team can ship.
Best for BERT, translation, smaller GPT releases, significantly faster than CPU clusters.
Ideal for CFD, molecular dynamics, and simulation where double precision and Tensor Core support matter.
NVLink connectivity enables early prototyping for larger A100/H100 cluster workloads.
Accelerates GPU-optimized ETL, graph analytics, and data transformations with RAPIDS and Spark.
Replace costly cloud GPU instances with reliable bare-metal performance at predictable cost.
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Real reviews from Trustpilot, HostAdvice, Cryptwerk, and Google.
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Using the storage servers to archive logs and snapshots from our AI pipeline… I also love that I could pick the datacenter closest to our team.
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Very good experience using their bare metal servers. Their customer service is one of the finest I have experienced - always prompt at resolving troubles. Highly recommend.
Common questions about V100 memory variants, clustering, power, and present-day value.
Yes, boards support mixed configurations, though memory pooling is limited.
Yes, NVLink 2.0 enables up to 300 GB/s bandwidth; 4-8 GPU clusters are standard.
Not with optimized infrastructure, Maximum Efficiency Mode boosts rack output by 40%.
Absolutely, great for multi-GPU testing, RAPIDS, and smaller AI workloads on a budget.
Server-grade PCIe chassis typically fit 4-8 dual-slot V100 GPUs with adequate cooling and power.
No problem. Our talented engineers will consult, architect, migrate, manage, and do whatever it takes to help your business grow and succeed.
Unmetered options in the Equinix Paris data center. 10 min delivery.