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HC44-16rs by Microsoft Azure

HC44-16rs is a HCS family [RDMA capable] [Premium Storage capable] [Intel processor] 44 vCPUs server offered by Microsoft Azure with 16 vCPUs, 352 GiB of memory and 717 GB of storage. The pricing starts at 0.5854 USD per hour.
16 vCPU
352 GiB Memory
717 GB Storage
Spare SCore
22570
(All-cores)
1414
(Single-core)

Specifications

Server Metadata

Vendor ID
azure
Server ID
Standard_HC44-16rs
Name
HC44-16rs
API Reference
Standard_HC44-16rs
Description
HCS family [RDMA capable] [Premium Storage capable] [Intel processor] 44 vCPUs
Family
HCS
Hw Virt
Status
active
Observed At
2026-08-09T16:20:57.224391

Availability

REGION / IDSPOTONDEMAND
East US 2 (US) / eastus2
0.5854 USD/h 3.168 USD/h
West US 2 (US) / westus2
0.5854 USD/h 3.168 USD/h
East US (US) / eastus
0.6653 USD/h 3.168 USD/h
South Central US (US) / southcentralus
1.742 USD/h 3.484 USD/h
Canada Central (CA) / canadacentral
0.7026 USD/h 3.802 USD/h
North Europe (IE) / northeurope
0.7026 USD/h 3.802 USD/h
UK South (GB) / uksouth
0.7318 USD/h 3.96 USD/h
Southeast Asia (SG) / southeastasia
0.761 USD/h 4.118 USD/h
West Europe (NL) / westeurope
0.761 USD/h 4.118 USD/h
Korea Central (KR) / koreacentral
0.7904 USD/h 4.277 USD/h
Central India (IN) / centralindia
0.8196 USD/h 4.435 USD/h
Australia East (AU) / australiaeast
0.849 USD/h 4.594 USD/h
Japan East (JP) / japaneast
0.849 USD/h 4.594 USD/h
Brazil South (BR) / brazilsouth
1.1709 USD/h 6.336 USD/h

Processor

vCPUs
16
Hypervisor
Microsoft Hyper-V
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8168
CPU L1D Cache
32 KiB
CPU L1D Cache Total
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 MiB
CPU L3 Cache
33 MiB
CPU L3 Cache Total
66 MiB
CPU Flags
fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, arch_perfmon, rep_good, nopl, xtopology, cpuid, pni, pclmulqdq, ssse3, fma, cx16, pdcm, pcid, sse4_1, sse4_2, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arch_capabilities
Ecpus
16
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
352 GiB
Memory Amount Actual
352 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    717 GB
    Storages
    • 717 GB ssd (temp disk)
    NETWORK
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    A memory-optimized virtual machine featuring dedicated Intel Xeon cores, high memory density, and RDMA capabilities for demanding database and computing workloads.

    Memory OptimizedStorage & Database

    Microsoft Azure HC44-16rs is a memory-optimized virtual machine from the HCS family, featuring 16 dedicated physical cores and 16 vCPUs powered by an Intel Xeon 8168 processor running at 2.7 GHz. It is equipped with 352.0 GB of RAM, providing a high ratio of 22.0 GB per core, alongside 717 GB of local storage. The instance supports RDMA and Premium Storage. Benchmarks indicate average performance across standard compute and memory tasks, with a Geekbench multi-core score of 9639.0 and a Redis SET throughput of 26.41 million operations per second. However, single-threaded compression and LLM inference speeds are weak, making this server less suitable for AI workloads. It is highly effective for memory-intensive applications, database hosting, and distributed high-performance computing tasks that leverage its dedicated resource allocation and RDMA capabilities.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    1.28Score
    Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
    Component Score Weight Impact
    Raw Reference Normalized Target Actual
    Redis RPS (pipeline=1, SET) 2,544,207 ops/sec 1,910,660 ops/sec 1.33 50.00% 50.00% +15.30%
    Redis RPS (pipeline=16, SET) 16,573,453 ops/sec 11,608,287 ops/sec 1.43 20.00% 20.00% +7.42%
    PassMark Memory Mark (composite) 2,312 2,416 0.957 10.00% 10.00% -0.44%
    Memory bandwidth (read, 16 MB ~ L3) 179,309 MB/sec 107,896 MB/sec 1.66 10.00% 10.00% +5.20%
    PassMark single-thread CPU 2,101 Mops/s 2,364 Mops/s 0.889 10.00% 10.00% -1.17%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,170

    Geekbench Multi-Core

    Score: 9,639

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 23061
    Compression
    		 330750
    Encryption
    		 8407
    Extended Instructions
    		 24833
    Floating Point Maths
    		 55733
    Integer Maths
    		 65280
    Physics
    		 2764
    Prime Numbers
    		 189
    Single Threaded
    		 2101
    String Sorting
    		 39449

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2312
    Database Operations
    		 10797
    Memory Latency
    		 56
    Memory Read Cached
    		 24484
    Memory Read Uncached
    		 7290
    Memory Write
    		 8060

    Stress-ng Raw Scores

    Stress-ng Relative Multicore Performance

    LLM Inference Speed for Prompt Processing

    LLM Inference Speed for Text Generation

    Static Web Server

    Redis

    Alternatives

    Servers of the Same Family

    INSTANCEvCPUsMEMORYGPUs
    HC44-32rs 32352 GiB0
    HC44rs 44352 GiB0

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    HC44-16rs FAQs