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Vultr vs Linode (Akamai Cloud): GPU & Cloud Comparison 2026

In-depth comparison of Vultr vs Linode (now Akamai Cloud) for GPU computing, AI workloads, bare metal servers, and cloud pricing in 2026.

14 min de lectura

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Créditos de referido sujetos a los términos oficiales de Vultr.

# Vultr vs Linode (Akamai Cloud): GPU & Cloud Comparison 2026

Linode rebranded to Akamai Cloud in 2023 after Akamai acquired Linode for $900M. While Linode was historically a beloved independent Linux cloud, the Akamai acquisition brought significant changes to the product lineup — including a strategic shift away from GPU compute.

This comparison helps you decide between Vultr and Linode/Akamai Cloud for GPU AI workloads, general cloud compute, and developer use cases in 2026.

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TL;DR Summary

VultrLinode (Akamai Cloud) GPU InstancesA100 80GB, H100 80GBVery limited / discontinued Bare MetalYes, full lineupYes Cheapest GPUFrom $2.50/hr (consumer)N/A (no current GPU catalog) Object StorageYes, S3-compatibleYes, S3-compatible KubernetesVKE (managed)LKE (managed) Global Regions32+11+ Referral ProgramYes (up to $300 credits)No active referral program Best ForGPU/AI workloads, global reachLegacy Linode users, edge (via Akamai) Verdict: If you need GPU compute for AI, machine learning, or LLM inference, Vultr is the clear choice in 2026. Linode/Akamai Cloud does not offer competitive GPU instances after the product line restructuring post-acquisition.

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GPU Compute: Where Vultr Wins Decisively

Vultr GPU Instances

Vultr maintains a mature, actively developed GPU catalog:

GPUVRAMTFLOPS (FP16)Memory BWPrice/hr NVIDIA A100 80GB80 GB HBM2e312 TFLOPS2.0 TB/s~$3.20 NVIDIA H100 80GB80 GB HBM33,958 TFLOPS (FP8)3.35 TB/s~$5.20+ Consumer GPU (RTX)8–24 GB GDDR6XVariableVariableFrom $0.50

All GPU instances include:

  • NVLink support for multi-GPU configurations
  • Pre-installed CUDA and cuDNN drivers (optional)
  • Hourly billing — no long-term commitment required
  • 32+ global regions for low-latency GPU deployments

Linode / Akamai Cloud GPU Status

Linode originally offered NVIDIA RTX 6000 GPU instances. Post-Akamai acquisition, the GPU product line was significantly reduced as Akamai refocused on edge compute and CDN rather than GPU infrastructure.

As of 2026, Akamai Cloud does not offer competitive enterprise GPU instances (A100, H100) at scale. The platform is oriented toward:

  • General-purpose compute (shared and dedicated)
  • Edge delivery via Akamai's CDN network
  • Managed Kubernetes (LKE)
  • Object storage
For AI training, LLM inference, Stable Diffusion, and GPU-accelerated scientific computing: Vultr is the only viable choice between these two providers.

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General Cloud Compute Comparison

Compute Instances

Plan TypeVultr PriceLinode Price 1 vCPU / 1 GB RAM$6/mo$5/mo (Nanode) 2 vCPU / 4 GB RAM$24/mo$20/mo 4 vCPU / 8 GB RAM$48/mo$40/mo 8 vCPU / 32 GB RAM$192/mo$160/mo Dedicated CPU (4c/8GB)$120/mo$115/mo Linode/Akamai is slightly cheaper for general-purpose shared instances. The difference is marginal (10–20%) for most workloads.

Bare Metal Servers

Both platforms offer bare metal servers. Key differences:

Vultr Bare Metal:
  • Multiple AMD EPYC and Intel Xeon configurations
  • 10Gbps dedicated uplinks
  • NVMe SSD storage
  • Available in all 32+ regions
  • Monthly or hourly billing
Linode (Akamai) Bare Metal:
  • Intel Xeon E configurations
  • 1–25Gbps uplinks
  • SATA or NVMe options
  • Limited to select regions (~5-6 locations)
  • Monthly billing only

For HFT, high-throughput networking, or global bare metal coverage, Vultr's wider bare metal region availability is a significant advantage.

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Managed Kubernetes

Vultr Kubernetes Engine (VKE) vs Linode Kubernetes Engine (LKE)

FeatureVKELKE Control Plane FeeFreeFree GPU Worker NodesYes (A100/H100)No (no GPU catalog) Node Auto-scalingYesYes Cluster UpgradesRollingRolling Regions32+11+ Load Balancer IntegrationYesYes Dashboard UIYesYes

LKE is a solid managed Kubernetes offering for general workloads. VKE wins for AI-native Kubernetes deployments due to GPU node support.

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Object Storage

Both providers offer S3-compatible object storage.

FeatureVultr Object StorageLinode Object Storage S3 CompatibleYesYes Storage Price (per GB)~$0.020/mo~$0.020/mo Egress~$0.01/GB (via CDN)$0.01/GB Regions10+8+ Min. Charge~$5/mo$5/mo GPU Instance Co-locationYesNo GPU instances

Storage pricing is nearly identical. Vultr wins for AI use cases due to co-located GPU compute.

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Developer Experience

Linode (Akamai Cloud) Strengths

  • StackScripts: Linode's equivalent of user-data scripts — large community library
  • Longstanding documentation: Years of community guides from the Linode era
  • Akamai CDN integration: Native edge + CDN if you use Akamai's network products
  • Clean UI: The Linode control panel (now Akamai Cloud Manager) is well-regarded
  • Community: Active Linode community forum with historical depth

Vultr Strengths

  • GPU catalog: No comparison — Vultr has A100/H100 and Linode doesn't
  • Global reach: 32+ regions vs 11+
  • Marketplace: 1-click app deployments for CUDA, ML frameworks, k8s tools
  • API quality: RESTful API with SDKs for Python, Go, and Terraform provider
  • Referral program: Up to $300 in credits for new accounts via referral

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Pricing: Referral Credits & Promotions

ProviderNew User PromoReferral Program VultrPromotional credits via referral linkActive — up to $300 for qualifying new accounts Linode/AkamaiNo current active referral program for cloud computeN/A

Vultr's referral program remains one of the most generous in the independent cloud space. New accounts that sign up via referral link may receive substantial promotional credits that can be applied directly to GPU instance costs.

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AI & Machine Learning Workloads: Decision Guide

Choose Vultr if you need:

  • NVIDIA A100 or H100 GPU instances
  • Multi-GPU NVLink configurations for distributed training
  • GPU-accelerated Kubernetes pods (VKE + GPU nodes)
  • Object storage co-located with GPU compute
  • Global GPU availability in 32+ regions
  • LLM inference, Stable Diffusion, AI model training

Choose Linode / Akamai Cloud if you need:

  • General-purpose Linux cloud compute (slightly cheaper)
  • Akamai edge/CDN integration for content delivery
  • Managed Kubernetes without GPU requirements
  • Legacy Linode-compatible infrastructure and StackScripts

The Bottom Line for GPU Workloads

Linode/Akamai Cloud is not a viable platform for GPU AI workloads in 2026. The platform pivoted away from GPU compute after the Akamai acquisition. For anyone building AI applications, training models, or running LLM inference, Vultr is the only reasonable choice between these two providers.

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Migration: Linode to Vultr

If you're migrating from Linode to Vultr for GPU workloads:

# 1. Snapshot your Linode instance (via Linode API or UI)

linode-cli linodes snapshot $LINODE_ID --label "pre-migration"

# 2. Export image or use rsync to transfer data

rsync -avz -e "ssh" user@linode-server:/data/ user@vultr-server:/data/

# 3. Use rclone to migrate object storage

rclone sync linode:old-bucket vultr:new-bucket --transfers=32 --progress

# 4. Update DNS TTL before migration day

# Reduce TTL to 60s → 24hrs before cutover

For ML workloads, migrate training datasets to Vultr Object Storage first, then spin up GPU instances to resume training from the latest checkpoint.

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FAQ

Q: Is Linode still a good cloud provider after the Akamai acquisition?

A: For general Linux compute, Linode/Akamai remains a solid, cost-effective choice. For GPU compute and AI workloads, the platform no longer competes with Vultr, AWS, or GCP.

Q: Does Akamai Cloud offer any GPU instances?

A: As of early 2026, Akamai Cloud does not offer enterprise GPU instances (A100, H100) comparable to Vultr's catalog. Check the current Akamai Cloud product page for the latest lineup.

Q: Which is better for a simple web app or API?

A: Both work well. Linode may be slightly cheaper for basic shared instances. Vultr offers more regions and equivalent performance. The difference is negligible for most web apps.

Q: Can I use Vultr referral credits for GPU servers?

A: Yes. Vultr promotional credits can be applied to any Vultr service including GPU cloud instances, bare metal servers, and object storage. Credits are subject to Vultr's official program terms.

Q: What happened to Linode GPU plans?

A: Linode offered NVIDIA RTX 6000 (24 GB) GPU instances under the old Linode brand. After the Akamai acquisition and rebranding, the GPU product line was not actively expanded. Enterprise GPU infrastructure (A100/H100) is not available through Akamai Cloud as of 2026.

João Silva

João Silva

GPU Cloud Architect & Founder

João é arquiteto de cloud com +10 anos de experiência em GPU computing. Especialista em NVIDIA A100/H100 e otimização de workloads de IA. Contribuidor open-source (vLLM, Ollama) e speaker em conferências de IA.

Published: 10 de febrero de 2026

Updated: 1 de marzo de 2026

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