Linode (Akamai) VPS Benchmark Results — 2026

The Argument Nobody Makes About Linode

Every Linode benchmark article you have read follows the same pattern: list the CPU score, compare it to Vultr, note it is "mid-range," suggest it is "good enough." The conclusion is always some version of "reliable but not the fastest."

That framing misses the point entirely.

After fourteen months of continuous testing — not a single snapshot, but quarterly re-runs across shared and dedicated tiers — the data tells a different story. Linode's compute is competitive (4,050 CPU score, up from 3,900 in our earlier tests). Its disk I/O is solid (48K read, 40K write). None of that is what makes Linode interesting.

What makes Linode interesting is that it sits on Akamai's private network backbone. And for the vast majority of VPS workloads, the network is the bottleneck — not the CPU, not the disk.

Let me show you why that matters with actual numbers.

Test Setup & Methodology

We tested Linode's Nanode plan: 1 shared vCPU, 1 GB RAM, 25 GB NVMe SSD, $5/mo. Deployed in Newark, NJ running Ubuntu 24.04 LTS (stock install, zero modifications).

Every test was executed three times. We report the median. Tests ran at 3 AM ET to minimize neighbor noise on shared infrastructure. We have repeated this exact protocol quarterly since January 2025, giving us five data points per metric.

For methodology details including how we normalize scores across providers, see our benchmark methodology page.

CPU Benchmark Results

Linode scored 4,050 on single-thread CPU. That is a meaningful jump from the 3,900 we recorded in Q3 2025 — a 3.8% improvement that suggests a hardware refresh in the Newark datacenter sometime in late 2025.

Where does 4,050 land? Right in the thick of it. Not embarrassingly behind, not notably ahead. The kind of score that does not make headlines, which is exactly the point I want to make.

Here is what that table hides: the difference between 4,050 and 4,100 (Vultr) is 1.2%. In a single-thread web request, that translates to roughly 0.3 milliseconds on a complex PHP render. Your users cannot perceive that. Your monitoring dashboards will not flag it. It does not exist in any meaningful operational sense.

The question is not whether Linode's CPU is fast enough. It is. The question is what happens to your request after the CPU finishes processing it — which is where network enters the picture.

Shared vs Dedicated CPU: The Data

Linode offers both shared and dedicated CPU plans. The shared Nanode at $5/mo gives you a shared vCPU. The Dedicated 4 GB at $36/mo gives you 2 dedicated cores. The obvious assumption: dedicated = better.

For sustained compute, yes. For everything else, it is more nuanced than that.

Look at those last two rows. Network throughput and latency are identical between shared and dedicated. Both tiers sit on the same Akamai backbone. Both get the same 0.7ms latency. Both push 940 Mbps.

The CPU gap only becomes dramatic under sustained multi-thread load: 18.9% higher on dedicated when you peg all cores for 60 seconds straight. On burst workloads — the kind most web applications generate — shared scores within 7% of dedicated.

So here is the actual decision framework: if your workload is compute-bound for sustained periods (video transcoding, ML inference, build servers), dedicated CPU pays for itself. If your workload is request/response (web apps, APIs, databases), the shared tier on Akamai's network delivers 93% of the experience at 14% of the price.

That math is not even close. Which is why we focus on the $5 shared tier for this benchmark.

Disk I/O Results

Linode delivered 48,000 read IOPS and 40,000 write IOPS. The write number jumped from 36,000 in our Q3 2025 test — an 11% improvement that coincides with the CPU hardware refresh.

The write IOPS improvement to 40,000 is notable. At 36,000 (old number), Linode trailed Hetzner by 22%. At 40,000, the gap narrows to 9%. Still not class-leading, but no longer a reason to disqualify Linode from write-moderate workloads.

Read performance at 48,000 IOPS handles the workloads that actually matter at this price tier: MySQL/PostgreSQL queries, file serving, CMS page loads. The gap to Vultr (50,000) is 4%, which is within the margin of what different fio configurations and time-of-day testing can produce.

Where disk I/O actually becomes a differentiator is at the extremes — logging pipelines ingesting thousands of events per second, or databases running at 90%+ write ratios. At $5/mo, you are not running those workloads. If you are, you need a dedicated instance regardless of provider.

Full disk I/O comparison across 13 providers →

Network Speed & Latency

This is where the story gets interesting.

Linode delivered 940 Mbps throughput and 0.7 ms latency. The throughput is unremarkable — four providers beat it. The latency is the second-lowest we have measured across all 13 providers.

Let me put 0.7ms in context. Most people look at throughput first because bigger number feels more important. But consider what actually happens during a web request:

1. Client sends request — network transit (latency)
2. Server processes request — CPU + disk (compute)
3. Server sends response — network transit (latency + throughput)

For a typical API response of 20KB, the transfer at 940 Mbps takes 0.17ms. The two latency hops add 1.4ms (0.7 × 2). The CPU processing might take 5-15ms depending on complexity.

Now compare Vultr: transfer at 950 Mbps takes 0.17ms (identical). Latency hops add 1.8ms (0.9 × 2). That is 0.4ms more per request, every request, all day.

At 1,000 requests per second, Linode's latency advantage saves 400ms of cumulative wait time per second. Over a day, that is 34,560 seconds of aggregate user wait time eliminated. For latency-sensitive applications — real-time APIs, gaming backends, financial data feeds — this compounds into measurable user experience differences.

Full network benchmark comparison →

The Akamai Backbone Effect

Linode was acquired by Akamai Technologies in 2022. Three years later, the integration is no longer theoretical — it shows up in the numbers.

Most VPS providers buy commodity internet transit from tier-1 carriers. Their traffic crosses public peering points, where congestion causes jitter. Linode's traffic increasingly routes through Akamai's private fiber network — the same infrastructure that delivers 30%+ of global web traffic.

What this means in practice:

• Lower latency: 0.7ms vs the 0.9-1.2ms range most competitors deliver. Private fiber has fewer hops.
• Less jitter: Our p99 latency on Linode was 1.1ms. On Vultr, 2.3ms. On Kamatera, 3.8ms. The backbone smooths out spikes.
• Better global reach: Akamai has points of presence in 135+ countries. As Linode integrates deeper, traffic to international users benefits from these routes even without using Akamai's CDN product.

This is the argument I started with: the network backbone makes the real difference, not the compute. A 4,050 CPU score versus Vultr's 4,100 is noise. A 0.7ms latency versus 0.9ms, maintained consistently with low jitter, is signal.

You cannot buy a better backbone by upgrading your Linode plan. You get it automatically, at every tier, including the $5/mo Nanode. That is what infrastructure-level advantages look like.

For a deeper look at how network quality affects real-world application performance, see our US datacenter selection guide.

Overall Performance Score

Our composite score weights 40% CPU, 30% disk, 30% network, normalized against the category leader.

Score: 87.8 out of 100. Ranks #5 overall out of 13 providers.

A note on methodology: our composite does not weight latency separately from throughput in the network component. If it did, Linode's 0.7ms latency would push its network score higher and its overall ranking with it. We chose not to double-weight network because it would bias toward Linode's specific strength. The 87.8 is the conservative read.

Value Analysis: Performance Per Dollar

At $5/mo, Linode delivers 17.6 points per dollar (87.8 / 5). Here is how that stacks up:

Linode's value score is middle-of-pack. Hetzner and Kamatera deliver more raw performance per dollar. But "performance per dollar" is a blunt instrument that does not capture network quality, support availability, or platform maturity.

What $5/mo buys you on Linode that it does not buy you elsewhere:

• Akamai backbone routing (no other $5 provider offers this)
• Phone support (Vultr and Hetzner are ticket-only at this tier)
• Free managed Kubernetes control plane via LKE
• $100/60-day trial credit (vs Vultr's $100/14-day)

Whether those extras justify picking Linode over a pure-performance leader like Hetzner depends entirely on what you are building. For a personal project, Hetzner's extra performance per dollar wins. For a production service where you need to call someone at 2 AM when things break, Linode's phone support alone might be worth the delta.

Who Should (and Should Not) Choose Linode

Choose Linode when:

• Latency matters more than throughput. Real-time APIs, WebSocket servers, gaming backends, financial data feeds. Linode's 0.7ms latency and low jitter (1.1ms p99) give it an edge that cannot be replicated by faster CPUs on noisier networks.
• You need global reach without managing a CDN. Akamai's backbone improves international routing even on bare Linode instances. If your users span multiple continents and you do not want to configure CloudFront or Fastly, Linode's network does some of that work implicitly.
• Kubernetes is core to your stack. LKE is mature, the control plane is free, and the container networking benefits from the same Akamai backbone advantages. At $5/mo per node, it is the most cost-effective managed K8s for small clusters.
• You value support escalation paths. Phone support is rare at $5/mo. If your team is small and an outage means calling someone, not filing a ticket and waiting, this matters.
• Predictability over peak performance. Linode's quarterly benchmark variance is under 4% — the lowest we track. SLA-bound services benefit from this consistency.

Do not choose Linode when:

• You need maximum disk I/O per dollar. Hetzner's 52K/44K IOPS at $4.59 beats Linode's 48K/40K at $5. For database-heavy workloads on a budget, the math favors Hetzner.
• You need the absolute fastest CPU. Hostinger (4,400) and Hetzner (4,300) lead. If your workload is genuinely CPU-bound — not just briefly, but sustained — those 8-6% gaps are real.
• Budget is the only constraint. BuyVM at $2/mo and Kamatera at $4/mo deliver usable performance at lower price points. If you are hosting a hobby project and every dollar counts, Linode's extras do not help.

Frequently Asked Questions

Does the Akamai acquisition actually improve Linode's network performance?

Yes, measurably. Our 14 months of testing show Linode's network latency dropped from 1.1ms to 0.7ms since Akamai integration deepened in late 2025. Throughput remained at 940 Mbps but with noticeably more consistent delivery. The backbone effect is real: Linode traffic routes through Akamai's private fiber instead of commodity transit, which reduces jitter more than it increases raw speed. Read our full Linode review for more on the Akamai integration timeline.

Should I choose shared or dedicated CPU on Linode?

For most workloads, shared CPU is the right call. Our benchmarks show Linode's shared vCPU scores 4,050 on single-thread tests with under 4% variance across quarters. Dedicated CPU adds roughly 15-20% to sustained multi-thread workloads but costs 4x more per core. Unless you run continuous compute tasks (video encoding, ML training), the shared tier delivers 80%+ of dedicated performance at a fraction of the price.

How does Linode compare to Vultr in benchmarks?

It depends on what you measure. Vultr edges Linode on CPU (4,100 vs 4,050) and disk read IOPS (50,000 vs 48,000). Linode wins on latency (0.7ms vs 0.9ms) and ties on write IOPS (40,000). The real differentiator is network quality under load: Linode's Akamai backbone handles traffic spikes with less jitter. For burst-sensitive applications like real-time APIs, that 0.2ms latency gap compounds. Full Vultr vs Linode comparison →

Is Linode fast enough for production databases?

Depends on the database and workload pattern. For read-heavy databases (PostgreSQL with read replicas, Redis caching layers), Linode's 48,000 read IOPS handles the job. The 40,000 write IOPS is adequate for moderate write volumes. Where Linode struggles: write-intensive workloads exceeding 30,000 sustained IOPS with fsync. For those, Hetzner's 44,000 write IOPS or dedicated NVMe instances are better fits.

Why does latency matter more than raw throughput for most VPS users?

Because most web applications are latency-bound, not bandwidth-bound. A typical API response is 5-50KB. At 940 Mbps, transferring 50KB takes 0.4ms. The network round-trip (0.7ms on Linode) adds more delay than the transfer itself. Shaving 0.2ms off latency has a bigger real-world impact than adding 50 Mbps to throughput. This is why Akamai's backbone advantage matters more than throughput rankings suggest.

Does Linode offer a free trial to run my own benchmarks?

Yes. Linode provides $100 in free credit valid for 60 days. That is enough to spin up 3-4 different instance types across multiple datacenters and run a full benchmark suite. We recommend testing in your target datacenter specifically, because performance varies 5-8% between locations depending on local load and hardware generation. Details in our Linode review.

How often does Linode update its hardware?

Linode does not publish a fixed hardware refresh cycle, but our quarterly retests show incremental improvements roughly every 6-8 months. The CPU score jumped from 3,900 to 4,050 between Q3 2025 and Q1 2026, suggesting a hardware refresh in the Newark datacenter. Older datacenters (Fremont, Dallas) sometimes lag behind newer locations by one generation.

What is the biggest weakness in Linode's benchmark results?

Disk write IOPS relative to price. At $5/mo, Linode's 40,000 write IOPS is competitive but not class-leading. Hetzner delivers 44,000 write IOPS at $4.59/mo. For write-heavy workloads like logging pipelines, time-series databases, or high-volume e-commerce with frequent inventory updates, that 10% gap compounds under sustained load. For everything else, it is a non-issue.