Our new Build-a-VPS (DIY Cloud) offerings have launched! NVIDIA RTX A4000 and RTX 4000 Ada GPUs added.

GPU SERVERS

Experience the power of fully dedicated, customizable, and incredibly fast GPU servers all at prices lower than anywhere else. Enjoy the advantage of 1Gbps-10Gbps unmetered traffic, Anti-DDoS protection, 99.99% uptime SLA, and a multihomed fiber network. Choose from a wide range of GPU models, including the latest NVIDIA RTX 3070, A4000, 3090, 4000 Ada, and A6000 all available with quick deployments.
Enterprise Hardware
All of the hardware powering your GPU server and infrastructure are from trusted enterprise brands such as Supermicro, Juniper, APC, AMD, Intel, and more.
99.99% Uptime
With enterprise hardware, advanced datacenters, flywheel energy storage, and multihomed network upstreams, we offer a 99.99% uptime SLA on GPU products in select facilities.
Anti-DDoS
Crunchbits' GPU network is actively protected against DDoS attacks: detection, countermeasures, and automatic scrubbing for ease and peace of mind.
Network
With multiple upstreams, wave, and dark fiber circuits to ensure physical redunancy and separate physical paths on our all-fiber network from your server to the edge we can guarantee your bandwidth and latency are top quality.
Modern Control Panel
With our bare metal panel, you won't be stuck using a control panel from 2012. Fast provisioning, full KVM console, and many pre-configured operating systems all combine for a fantastic user experience.
Local Support
While every service is unmanaged, we do still have on-site and full-time knowledgeable Crunchbits-only staff for any issues or concerns that might come up.
Built by data enthusiasts.
For data enthusiasts.
NVIDIA3070
NVIDIAA4000
NVIDIA3090
NVIDIAAda
NVIDIAA6000
AMDA100
Powered by Supermicro, Tyan, AMD, Intel, and NVIDIA hardwareBuilt by an enthusiastic and experienced teamMaintained by over 40 years of combined experience
INCREDIBLE PERFORMANCEPAIRED WITH UNBEATABLE PRICESCrunchbits' GPU servers are perfect for all of your AI, machine learning, deep learning, cryptocurrency, and large language models.Our GPU servers are fully dedicated to you alone. We don't charge extra for any specific use-cases. If you want to mine cryptocurrency or train a large language model you're at home here.Recommended uses: video editing, 3D graphics rendering, machine learning, artificial intelligence, blockchain and cryptocurrency mining.
PRICINGHIGH PERFORMANCE GPU SERVERS
(4) NVIDIA RTX 3090(2) Intel Xeon Gold
128GB+
SSDs
100TB @ 10Gbps
1 IPv4 + /64 IPv6
Starts @ $643
(8) NVIDIA RTX A4000(2) Intel Xeon Gold
128GB+
SSDs or NVMe
100TB @ 10Gbps
1 IPv4 + /64 IPv6
Starts @ $693
(8) NVIDIA RTX 4000 Ada(2) AMD EPYC CPUs
256GB+
SSDs or NVMe
100TB @ 10Gbps
1 IPv4 + /64 IPv6
Starts @ $1485
(up to 8) NVIDIA or AMD GPUsXeon or EPYC
up to 1TB
SSD or NVMe
1Gbps to 10Gbps
1 IPv4 + /64 IPv6
Contact Us
Blogs & News
Apr 26, 2024Setup your private VPN in less than 5 minutes with WireguardSetup your private VPN in less than 5 minutes with Wireguard
Jul 25, 2023Zenbleed: How to quickly and easily fix AMD CPU 0-day Exploit [UPDATE 7/26/2023]: Debian (sid) has added amd64-microcode update. This would be a slightly better fix than using the chicken bit in the below methods as it has a little less of a performance hit. To install it, make sure you have the security repo added and then run the following commands: apt update apt install amd64-microcode AlmaLinux has also released a similar microcode patch for AlmaLinux 8 and 9 and is asking for testers. Ubuntu has its amd64-microcode packages out for Jammy an
Jul 24, 2023Unraveling the Power of a GPU Dedicated ServerIn the world of advanced computing, the term "dedicated GPU server" is becoming increasingly popular. But what exactly is a dedicated GPU server? To understand this, we first need to break down its components. A Graphics Processing Unit (GPU) is a powerful processor designed specifically for rendering high-quality graphics efficiently. A server, on the other hand, is traditionally a rack-mounted computer that is focused towards enterprise and continuous use. A server can function and operate jus