FX64-16ms_v2 by Microsoft Azure

FX64-16ms_v2 is a FXmsv2 family [Memory Intensive] [Premium Storage capable] [Intel processor] 64 vCPUs server offered by Microsoft Azure with 16 vCPUs, 1344 GiB of memory and 0 GB of storage. The pricing starts at 1.3088 USD per hour.
16 vCPU
1344 GiB Memory
Spare SCore
17,775
(All-cores)
2,169
(Single-core)

Specifications

Server Metadata

Vendor ID
azure
Server ID
Standard_FX64-16ms_v2
Name
FX64-16ms_v2
API Reference
Standard_FX64-16ms_v2
Description
FXmsv2 family [Memory Intensive] [Premium Storage capable] [Intel processor] 64 vCPUs
Family
FXmsv2
Hw Virt
Status
active
Observed At
2026-10-24T15:35:47.654090

Availability

REGION / IDSPOTONDEMAND
East US 2 (US) / eastus2
1.3088 USD/h 7.082 USD/h
West US 3 (US) / westus3
1.3088 USD/h 7.082 USD/h
East US (US) / eastus
1.4865 USD/h 7.082 USD/h
West US 2 (US) / westus2
1.3091 USD/h 7.084 USD/h
Central India (IN) / centralindia
1.3507 USD/h 7.309 USD/h
Canada Central (CA) / canadacentral
1.4401 USD/h 7.793 USD/h
Central US (US) / centralus
1.4774 USD/h 8.003 USD/h
Sweden Central (SE) / swedencentral
1.493 USD/h 8.079 USD/h
Indonesia Central (ID) / indonesiacentral
1.5313 USD/h 8.286 USD/h
South Central US (US) / southcentralus
1.5706 USD/h 8.499 USD/h
West Central US (US) / westcentralus
1.5706 USD/h 8.499 USD/h
North Europe (IE) / northeurope
1.571 USD/h 8.501 USD/h
Spain Central (ES) / spaincentral
1.571 USD/h 8.501 USD/h
UK West (GB) / ukwest
1.5836 USD/h 8.569 USD/h
Qatar Central (QA) / qatarcentral
1.6105 USD/h 8.715 USD/h
UAE North (AE) / uaenorth
1.6105 USD/h 8.715 USD/h
France Central (FR) / francecentral
1.6495 USD/h 8.926 USD/h
UK South (GB) / uksouth
1.6495 USD/h 8.926 USD/h
Australia Southeast (AU) / australiasoutheast
1.7015 USD/h 9.207 USD/h
Austria East (AT) / austriaeast
1.7015 USD/h 9.207 USD/h
Belgium Central (BE) / belgiumcentral
1.7015 USD/h 9.207 USD/h
West US (US) / westus
1.702 USD/h 9.21 USD/h
Chile Central (CL) / chilecentral
1.8323 USD/h 9.915 USD/h
Germany West Central (DE) / germanywestcentral
1.8328 USD/h 9.918 USD/h
West Europe (NL) / westeurope
1.8328 USD/h 9.918 USD/h
South India (IN) / southindia
1.8454 USD/h 9.986 USD/h
South Africa North (ZA) / southafricanorth
1.8696 USD/h 10.117 USD/h
Southeast Asia (SG) / southeastasia
1.8979 USD/h 10.27 USD/h
Australia East (AU) / australiaeast
1.8983 USD/h 10.272 USD/h
Japan East (JP) / japaneast
1.8983 USD/h 10.272 USD/h
Korea Central (KR) / koreacentral
1.8983 USD/h 10.272 USD/h
New Zealand North (NZ) / newzealandnorth
1.9927 USD/h 10.783 USD/h
Switzerland North (CH) / switzerlandnorth
2.0162 USD/h 10.91 USD/h
Germany North (DE) / germanynorth
2.3828 USD/h 12.894 USD/h
Brazil South (BR) / brazilsouth
2.5528 USD/h 13.814 USD/h

Processor

vCPUs
16
Hypervisor
Microsoft Hyper-V
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
4.2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8573C
CPU L1D Cache
48 KiB
CPU L1D Cache Total
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
16 MiB
CPU L3 Cache
260 MiB
CPU L3 Cache Total
520 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, rep_good, nopl, xtopology, tsc_reliable, nonstop_tsc, cpuid, aperfmperf, tsc_known_freq, pni, pclmulqdq, vmx, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, tpr_shadow, ept, vpid, ept_ad, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, user_shstk, avx_vnni, avx512_bf16, vnmi, avx512vbmi, umip, waitpkg, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, la57, rdpid, cldemote, movdiri, movdir64b, fsrm, serialize, tsxldtrk, ibt, amx_bf16, avx512_fp16, amx_tile, amx_int8, arch_capabilities
Ecpus
8.2
Scalability
51.25

System Resources and Accelerators

MEMORY
Memory Amount
1 TB
Memory Amount Actual
1 TB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A memory-intensive virtual machine offering high single-threaded processor speed alongside 1344 GB of system memory for demanding, memory-bound enterprise compute workloads.

      Memory OptimizedCompute Optimized

      Microsoft Azure FX64-16ms_v2 is a memory-optimized virtual machine featuring 16 vCPUs across 8 physical cores on a 4.2 GHz Intel Xeon 8573C processor. Operating on Microsoft Hyper-V with the x86_64 architecture, this instance offers an extraordinary 1344 GB of system memory, resulting in 84 GB of RAM per vCPU. Hardware instruction support includes AVX-512, Intel AMX for matrix operations, and VAES encryption. Benchmark results highlight top-tier Geekbench single-core execution and text processing scores, along with strong single-threaded gzip compression speed of 34.83 GB/sec. No GPU hardware or local ephemeral storage is bundled, necessitating network-attached storage for persistent disk needs. The extreme memory-to-vCPU ratio offers distinct cost efficiency for memory-heavy workloads that do not require massive CPU core scale. This server configuration is best suited for large in-memory databases, SAP HANA deployments, high-memory data analytics, and memory-constrained text processing or LLM inference tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.6Score
      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) 3,397,722 ops/sec 1,919,289 ops/sec 1.8 50.00% 50.00% +34.00%
      Redis RPS (pipeline=16, SET) 17,145,464 ops/sec 11,728,058 ops/sec 1.4 20.00% 20.00% +7.00%
      PassMark Memory Mark (composite) 2,651 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 269,588 MB/sec 108,466 MB/sec 2.5 10.00% 10.00% +9.60%
      PassMark single-thread CPU 3,252 Mops/s 2,365 Mops/s 1.4 10.00% 10.00% +3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,364

      Geekbench Multi-Core

      Score: 13,643

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 29,523
      Compression
      		 306,343
      Encryption
      		 18,759
      Extended Instructions
      		 25,009
      Floating Point Maths
      		 60,330
      Integer Maths
      		 85,124
      Physics
      		 4,025
      Prime Numbers
      		 170
      Single Threaded
      		 3,252
      String Sorting
      		 42,674

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,651
      Database Operations
      		 10,728
      Memory Latency
      		 57
      Memory Read Cached
      		 29,058
      Memory Read Uncached
      		 10,271
      Memory Write
      		 9,492

      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

      INSTANCEvCPUsMEMORYAccelerators
      FX2ms_v2 242 GiB0
      FX4-2ms_v2 284 GiB0
      FX8-2ms_v2 2168 GiB0
      FX4ms_v2 484 GiB0
      FX8-4ms_v2 4168 GiB0
      FX16-4ms_v2 4336 GiB0
      FX12-6ms_v2 6252 GiB0

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      FX64-16ms_v2 FAQs