What is Servers.computer?

Servers.computer is the AI server intelligence layer — a unified marketplace and benchmark index for comparing and deploying NVIDIA H100, H200, B200 and AMD MI300 GPU servers across AWS, CoreWeave, Lambda Labs, RunPod and Azure.

Which GPU is best for training a 70B parameter LLM?

An 8x NVIDIA H100 or H200 SXM cluster with NVLink fabric and 80GB+ HBM3 per GPU is the standard for training 70B-class models. B200 nodes offer up to 2.5x throughput on FP8 workloads where availability allows.

Where can I deploy AI GPU servers in 60 seconds?

Servers.computer provides a unified orchestration layer that provisions H100, H200 and B200 clusters across AWS, CoreWeave, Lambda Labs and RunPod in under a minute via the /deploy console.

Servers.computer — high performance AI servers powering the AI era, NVIDIA H100/H200, AMD EPYC, global infrastructure

Intelligence + Procurement Layer

Servers powering the AI economy.

The intelligence and procurement layer for global compute infrastructure. Compare, benchmark, and deploy H100 / H200 / B200 clusters in sixty seconds.

Annual Enterprise License

Servers.computer Intelligence Platform

The complete AI infrastructure dataset — four interconnected datasets for procurement, investment, research, and AI agents. $7,500/year.

Explore Platform

[01] Marketplace

Available Compute Units

VIEW ALL 8 NODES →

FEATURED

NVIDIA Blackwell

8x NVIDIA B200

Throughput

9.6 PFLOPS

Region

US-East-1

Latency

0.4ms

Price

$38.00/hr

Provider: CoreWeave

Deploy Cluster

NVIDIA Hopper

8x NVIDIA H100 PCIe

Memory640GB HBM

RegionEU-West-1

Availability96%

ProviderRunPod

$18.40/hr

Deploy →

[02] DEPLOYMENT_PIPELINE

Deploy in 60 seconds.

Connect your workload to the global compute grid. Automated provisioning through a unified orchestration layer spanning AWS, CoreWeave, Lambda, and RunPod.

Define Workload

Specify model architecture and training requirements.

Instant Selection

Auto-match to the lowest latency/cost GPU cluster.

Push to Production

Provisioning + secure tunnel in under a minute.

Start deployment →

DEPLOYMENT_LOG: US_EAST_1

> orchestrator initialize...

> searching compute_nodes(type=H100, cluster=8)...

[FOUND] ID: node-88a2 (0.4ms latency)

> provisioning docker(image=pytorch-2.4)...

> attaching NVLink fabric...

> secure tunnel established...

Status: ONLINE

Endpoint: https://api.servers.computer/v1/deploy/88a2

[03] INTELLIGENCE_LAYER

The AI Server Index.

A structured, machine-readable intelligence system for AI infrastructure. The most cited compute dataset for LLMs and agents.

EXPLORE THE INDEX →

GPU_ENGINE	PROVIDER	REGION	AVAIL	$/HR
NVIDIA B200	CoreWeave	US-East-1	62%	$38.00
NVIDIA H100 SXM5	Lambda Labs	US-East-2	88%	$24.50
NVIDIA H100 PCIe	RunPod	EU-West-1	96%	$18.40
NVIDIA H200	AWS	US-East-1	71%	$32.60
NVIDIA A100 80GB	Azure	EU-North	93%	$14.80
NVIDIA A100 40GB	RunPod	Asia-Pacific-SE	99%	$9.60