UpCloud Balanced (8 GB, 4 Cores) vs. Vultr Cloud Compute (2 GB, 2 Cores)

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Fresh benchmarks coming at ya. Today I've spun up brand new instance from UpCloud and Vultr and did some benchmarking. Each instance was spun up with Ubuntu 24.04 LTS x64 and were created in the New York area (or close to it). Enough talk. Here's the data.

Overview

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Last Benchmarked Wed, 13 May 2026 12:00:52 GMT Mon, 11 May 2026 04:00:52 GMT
Linux Distro Ubuntu 24.04 LTS x64 Ubuntu 24.04 LTS x64
Kernel Version 6.8.0-111-generic 6.8.0-111-generic
MySQL Version 8.0.45-0ubuntu0.24.04.1 8.0.45-0ubuntu0.24.04.1
Redis Version 7.0.15 7.0.15
Location New York, NY Newark, NJ
Monthly Price €52.00 $15.00
RAM (GB) 8 2
CPU Cores 4 2
Storage (TB) 160 65
Storage Type SSD SSD
Transfer (TB) 5 3

CPU

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Vendor AuthenticAMD GenuineIntel
Model Name AMD EPYC 9575F 64-Core Processor Intel Core Processor (Skylake, IBRS, no TSX)
Clock Speed (MHz) 3,295.48 3,792.00
CPU Cache Size (KB) 512.00 16,384.00
BogoMips 6,590.95 7,583.99
Events per Second 5,045.89 1,481.60
Minimum Latency (ms) 0.18 0.63
Average Latency (ms) 0.2 0.67
Maximum Latency (ms) 5.65 1.95
95th Percentile Latency (ms) 0.21 0.77

Memory

Memory Read

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Operations per second 6,705,847.76 6,401,389.08
Mebibytes per second 6,548.68 6,251.36
Minimum Latency (ms) 0 0
Average Latency (ms) 0 0
Maximum Latency (ms) 5.68 0.23
95th Percentile Latency (ms) 0 0

Memory Write

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Operations per second 6,701,571.28 6,411,085.35
Mebibytes per second 6,544.50 6,260.83
Minimum Latency (ms) 0 0
Average Latency (ms) 0 0
Maximum Latency (ms) 3.65 0.18
95th Percentile Latency (ms) 0 0

File I/O

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Reads per Second 3,294.66 4,345.71
Writes per Second 2,196.44 2,897.07
Fsyncs per Second 7,029.60 9,273.19
Read Mebibytes per Second 51.48 67.90
Written Mebibytes per Second 34.32 45.27
Minimum Latency (ms) 0 0
Average Latency (ms) 0.08 0.06
Maximum Latency (ms) 24.7 2.92
95th Percentile Latency (ms) 0.37 0.17

Mutex

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Minimum Latency (ms) 324.85 214.63
Average Latency (ms) 356.96 569.72
Maximum Latency (ms) 386.91 636.55
95th Percentile Latency (ms) 390.30 634.66

MySQL

MySQL Read-only

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Transactions per second 8,948.00 8,015.00
Queries per second 89,480.00 80,150.00
Minimum Latency (ms) 0.42 0.92
Average Latency (ms) 1.12 1.25
Maximum Latency (ms) 35.89 5.5
95th Percentile Latency (ms) 3.36 1.86

MySQL Write-only

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Transactions per second 1,794.00 8,497.00
Queries per second 17,940.00 84,970.00
Minimum Latency (ms) 1.37 0.76
Average Latency (ms) 5.57 1.17
Maximum Latency (ms) 34.12 3.04
95th Percentile Latency (ms) 12.52 1.55

MySQL Read/Write

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Transactions per second 1,176.00 3,726.00
Queries per second 11,760.00 37,260.00
Minimum Latency (ms) 2.2 1.78
Average Latency (ms) 8.49 2.68
Maximum Latency (ms) 28.9 5.82
95th Percentile Latency (ms) 17.32 3.43

MySQL INSERT

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Transactions per second 2,578.00 15,028.00
Queries per second 25,780.00 150,280.00
Minimum Latency (ms) 1.02 0.41
Average Latency (ms) 3.87 0.66
Maximum Latency (ms) 22.83 2.42
95th Percentile Latency (ms) 8.43 0.86

MySQL Bulk INSERT

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Transactions per second 2,016,592.00 1,696,217.00
Queries per second 20,165,920.00 16,962,170.00
Minimum Latency (ms) 0 0
Average Latency (ms) 0 0.01
Maximum Latency (ms) 341.39 283.37
95th Percentile Latency (ms) 0 0

MySQL SELECT

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Transactions per second 239,483.00 201,989.00
Queries per second 2,394,830.00 2,019,890.00
Minimum Latency (ms) 0.01 0.03
Average Latency (ms) 0.04 0.05
Maximum Latency (ms) 28.58 0.51
95th Percentile Latency (ms) 0.06 0.07

MySQL SELECT (Random Points)

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Transactions per second 6,315.00 8,025.00
Queries per second 63,150.00 80,250.00
Minimum Latency (ms) 0.4 0.35
Average Latency (ms) 1.58 1.24
Maximum Latency (ms) 19.67 3.55
95th Percentile Latency (ms) 3.36 2.07

MySQL SELECT (Random Ranges)

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Transactions per second 7,625.00 8,336.00
Queries per second 76,250.00 83,360.00
Minimum Latency (ms) 0.3 0.4
Average Latency (ms) 1.31 1.2
Maximum Latency (ms) 42.62 4.25
95th Percentile Latency (ms) 2.86 2.22

MySQL UPDATE (Indexed)

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Transactions per second 2,783.00 13,858.00
Queries per second 27,830.00 138,580.00
Minimum Latency (ms) 0.98 0.42
Average Latency (ms) 3.59 0.72
Maximum Latency (ms) 32.55 6.33
95th Percentile Latency (ms) 8.13 0.95

MySQL UPDATE (Non-Indexed)

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Transactions per second 2,693.00 14,587.00
Queries per second 26,930.00 145,870.00
Minimum Latency (ms) 0.86 0.4
Average Latency (ms) 3.71 0.68
Maximum Latency (ms) 21.41 11.69
95th Percentile Latency (ms) 7.7 0.9

MySQL DELETE

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
Transactions per second 11,344.00 129,013.00
Queries per second 113,440.00 1,290,130.00
Minimum Latency (ms) 0.01 0.03
Average Latency (ms) 0.88 0.08
Maximum Latency (ms) 44.94 2.61
95th Percentile Latency (ms) 4.74 0.09

Redis

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
PING_INLINE per Second 142,450.14 78,247.26
PING_MBULK per Second 151,975.69 74,738.41
SET per Second 152,439.02 77,041.60
GET per Second 140,845.08 83,333.33
INCR per Second 134,952.77 80,971.66
LPUSH per Second 198,807.16 79,113.92
RPUSH per Second 144,092.22 77,160.49
LPOP per Second 147,058.83 81,499.59
RPOP per Second 174,520.06 82,440.23
SADD per Second 145,348.83 80,192.46
HSET per Second 160,000.00 83,612.04
SPOP per Second 146,198.83 85,034.02
ZADD per Second 133,155.80 83,263.95
ZPOPMIN per Second 144,717.80 82,987.55
LRANGE_100 (first 100 elements) per Second 93,808.63 55,555.56
LRANGE_300 (first 300 elements) per Second 40,322.58 28,851.70
LRANGE_500 (first 500 elements) per Second 23,713.54 19,391.12
LRANGE_600 (first 600 elements) per Second 23,490.72 17,211.71
MSET (10 keys) per Second 135,501.36 80,256.82

Redis Average Latency (ms)

UpCloud – Balanced (8 GB, 4 Cores) Vultr – Cloud Compute (2 GB, 2 Cores)
PING_INLINE0.220.34
PING_MBULK0.190.35
SET0.200.34
GET0.210.32
INCR0.210.32
LPUSH0.140.34
RPUSH0.220.34
LPOP0.210.32
RPOP0.170.32
SADD0.210.32
HSET0.180.31
SPOP0.200.30
ZADD0.220.31
ZPOPMIN0.200.31
LRANGE_100 (first 100 elements)0.370.54
LRANGE_300 (first 300 elements)0.861.11
LRANGE_500 (first 500 elements)1.411.62
LRANGE_600 (first 600 elements)1.411.84
MSET (10 keys)0.280.38

Conclusion

From the friendly robots:

When comparing the performance benchmarks of the UpCloud Balanced instance and the Vultr Cloud Compute instance, it's evident that the UpCloud instance, with 4 cores and 8GB of RAM, outperforms the Vultr instance in almost all metrics, especially in CPU-intensive tasks, Redis operations, and memory handling, showcasing higher RPS (requests per second) and lower latencies. This indicates superior processing capabilities and efficiency, making it ideal for workloads that require higher computational power and faster data access, such as high-traffic web applications, large-scale databases, or data-intensive tasks. On the other hand, the Vultr instance, with its lower core count and RAM, is more suited for less demanding applications like small to medium-sized websites, simple backend services, or development environments where cost-effectiveness is a priority.

From the friendly human:

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