Legacy-standard for AI & HPC
First GPU to exceed 100 TFLOPS, delivers 12× Tensor FLOPS training, 6× inference over Pascal.
// gpu compute
NVIDIA Tesla V100 GPU Server
Up to 130 TFLOPS DL Performance, HBM2 Memory & NVLink 2.0. Proven Volta Power for AI Training, Research & Multi-GPU Scaling.
- Online in 1 hour when in stock
- 20+ Tier III global data centers
- Unmetered 1/10/25 Gbps bandwidth
- Crypto payments & 24/7 support included
Custom BuildOut Of Stock
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// v100 pricing
NVIDIA Tesla V100 GPU Server Price
Single and multi-GPU V100 builds on bare metal. No setup fee, full root access, and unmetered 1/10/25 Gbps uplinks.
Reservation Requested
An engineer will reach out shortly to confirm availability and next steps.
Bare Metal // Standard Equipment
All Bare Metal Plans Include
Every server ships fully dedicated: no shared resources, no usage meters, no surprises.
- Setup Cost
- Free
- Provisioning
- Instant & Automated
- Access
- KVM, IPMI, Root
- Protection
- DDoS Shield Included
- Cores
- Up to 128 (Dual Socket)
- Memory
- Up to 2TB RAM
- Storage
- Enterprise NVMe & SSD
- Support
- 24/7/365 Human Engineers
OS & Panels
* Select your OS and panel at checkout
// why redswitches for tesla v100
What You Get With Every NVIDIA Tesla V100 Server
Every RedSwitches NVIDIA Tesla V100 server is single-tenant bare metal with full root and IPMI access, unmetered 1, 10 or 25 Gbps bandwidth, no setup fee, no bandwidth overage and a flat monthly price. Stocked builds are online in about 1 hour, larger configurations up to 8 GPUs per node are built to order, volume and 6/12-month committed-term discounts apply, payments include crypto, and engineers answer 24/7.
- 1 hr
Online When in Stock
Stocked NVIDIA Tesla V100 builds are online in about 1 hour. Configurations not in stock are built to order, and an engineer confirms the lead time before you commit.
- $0
Setup Fee, Flat Monthly
No setup fee and a flat monthly price for the whole server. No per-hour meter and no surprise line items, so GPU spend is forecastable.
- Unmetered
Bandwidth, No Egress Bills
Unmetered 1, 10 or 25 Gbps uplinks are included, and whatever port speed you choose you can use all of it: no overage charges and no egress bills, ever. Moving datasets, checkpoints and model weights in and out costs nothing extra.
- 1 tenant
Bare Metal, Full Control
Single-tenant hardware with root and IPMI access. You choose the OS, drivers, CUDA or ROCm version, and the NVLink or MIG layout, and a private VLAN can link your RedSwitches servers.
- Up to 8x
Multi-GPU, Built to Order
Single and multi-GPU nodes, up to 8 GPUs per server with NVLink where the card supports it. Volume discounts on multi-GPU and multi-server orders, plus 6 and 12-month term savings.
- 24/7
Engineers, Not Bots
Live chat, Telegram and email answered by engineers around the clock. Pay by card, PayPal, bank wire or crypto with no KYC, in 20+ Tier III data centers across the EU, US and Asia.
// compared with cloud
RedSwitches Tesla V100 Server vs a Typical Cloud GPU Instance
Same accelerator, different economics: what changes when the GPU sits in a dedicated server you control instead of a metered instance.
| RedSwitches Tesla V100 server | Typical cloud GPU instance | |
|---|---|---|
| Billing | Flat monthly price per server | Per-hour or per-second metering |
| Bandwidth | Unmetered 1/10/25 Gbps, use the full port, no overage or egress fees | Egress billed per GB |
| Private networking | Private VLAN between your servers on request | Paid VPC and peering constructs |
| Setup fee | $0 | Varies by instance and region |
| Tenancy | Single-tenant bare metal | Shared, virtualised hosts |
| Access | Root and IPMI, your OS and drivers | Hypervisor-managed images |
| Multi-GPU | Up to 8 per node, NVLink where supported, built to order | Fixed instance shapes |
| Payments | Card, PayPal, bank wire, crypto | Card or invoice |
| Support | 24/7 engineers on chat, Telegram and email | Ticket tiers, paid support plans |
NVIDIA Tesla V100 Core Specifications
Volta GV100 silicon with up to 32 GB HBM2, first-gen Tensor Cores, and NVLink 2.0 for multi-GPU scaling.
- GPU Architecture
- NVIDIA Volta GV100, 12 nm, 21.1B transistors, Volta SMs with first-gen Tensor Cores
- CUDA / Tensor Cores
- 5,120 CUDA cores, 640 Tensor Cores capable of 130 TFLOPS deep-learning performance
- Memory
- 16 GB or 32 GB HBM2, 4,096-bit bus, ~900 GB/s bandwidth
- BERT inference
- 557 sentences/sec vs CPU 23.5/sec (24× speedup)
- Maximum Efficiency Mode
- Up to 40% more rack compute at 50% power
- NVLink
- Up to 300 GB/s per link, enabling scalable 4-8 GPU nodes
- TDP & Form Factor
- Dual-slot PCIe, 250-300 W, passive cooling
Performance Highlights
// why v100
Why Choose V100
A proven Volta building block: power-efficient rack scaling, NVLink multi-GPU, and deep CUDA/HPC integration.
Power-efficient rack scaling
Maximum Efficiency Mode boosts rack throughput by 40% under constrained power.
Proven multi-GPU building block
NVLink enables efficient scaling and peer-to-peer access.
Deep integration with CUDA/HPC ecosystem
Supports CUDA, cuDNN, PyTorch, TensorFlow, MPI, and HPC libraries.
Cost-effective today
More affordable than newer GPUs; ideal for legacy or budget-aware infrastructure.
// use cases
Ideal Use Cases
From deep-learning training to RAPIDS pipelines, see where the Tesla V100 changes what your team can ship.
Deep Learning Training & Inference
Best for BERT, translation, smaller GPT releases, significantly faster than CPU clusters.
HPC & Scientific Computing
Ideal for CFD, molecular dynamics, and simulation where double precision and Tensor Core support matter.
Multi-GPU Research & Scalability Testing
NVLink connectivity enables early prototyping for larger A100/H100 cluster workloads.
Data Science & RAPIDS Pipelines
Accelerates GPU-optimized ETL, graph analytics, and data transformations with RAPIDS and Spark.
Cloud Repatriation & Cost Efficiency
Replace costly cloud GPU instances with reliable bare-metal performance at predictable cost.
Trusted by Enterprise Teams Worldwide
Read all RedSwitches reviews, or see them on Google, HostAdvice, Cryptwerk and Trustpilot.
// faqs
Deep Dive & FAQs
Common questions about V100 memory variants, clustering, power, and present-day value.
Can I mix 16 GB and 32 GB variants?
Yes, boards support mixed configurations, though memory pooling is limited.
Can V100 cluster at scale?
Yes, NVLink 2.0 enables up to 300 GB/s bandwidth; 4-8 GPU clusters are standard.
Is power usage an issue?
Not with optimized infrastructure, Maximum Efficiency Mode boosts rack output by 40%.
Still useful today?
Absolutely, great for multi-GPU testing, RAPIDS, and smaller AI workloads on a budget.
How many can fit per server?
Server-grade PCIe chassis typically fit 4-8 dual-slot V100 GPUs with adequate cooling and power.
// need help
Not Sure Exactly What You Need
No problem. Our talented engineers will consult, architect, migrate, manage, and do whatever it takes to help your business grow and succeed.