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f1.2xlarge by Amazon Web Services

f1.2xlarge is a FPGA Gen1 2xlarge server offered by Amazon Web Services with 8 vCPUs, 122 GiB of memory and 470 GB of storage. The pricing starts at 0.5024 USD per hour.
8 vCPU
122 GiB Memory
470 GB Storage
Spare SCore
4168
(All-cores)
883
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
f1.2xlarge
Description
FPGA Gen1 2xlarge
Family
f1
Hw Virt
-
Status
inactive
Observed At
2026-07-19T09:14:12.262042

Availability

REGION / IDSPOTONDEMAND
Oregon (US) / us-west-2
0.52365 USD/h -
Northern Virgina (US) / us-east-1
1.20926 USD/h -
Dublin (IE) / eu-west-1
1.010933 USD/h -
Frankfurt (DE) / eu-central-1
1.1022 USD/h -

Processor

vCPUs
8
Hypervisor
xen
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.3 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2686 v4
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
1 MiB
CPU L3 Cache
45 MiB
CPU L3 Cache Total
45 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, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, aperfmperf, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, cpuid_fault, pti, fsgsbase, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, rdseed, adx, xsaveopt

System Resources and Accelerators

MEMORY
Memory Amount
122 GiB
GPU
GPU Count
0
GPUs
    STORAGE
    Storage Size
    470 GB
    Storage Type
    nvme ssd
    Storages
    • 470 GB nvme ssd
    NETWORK
    Network Speed Baseline
    2.5 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.371Score
    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) 555,507 ops/sec 1,895,838 ops/sec 0.293 50.00% 50.00% -45.90%
    Redis RPS (pipeline=16, SET) 3,413,030 ops/sec 11,497,234 ops/sec 0.297 20.00% 20.00% -21.60%
    PassMark Memory Mark (composite) 2,110 2,410 0.875 10.00% 10.00% -1.33%
    Memory bandwidth (read, 16 MB ~ L3) 42,674 MB/sec 107,331 MB/sec 0.398 10.00% 10.00% -8.80%
    PassMark single-thread CPU 1,745 Mops/s 2,363 Mops/s 0.739 10.00% 10.00% -2.98%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 885

    Geekbench Multi-Core

    Score: 3,344

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		6342
    Compression
    		86861
    Encryption
    		1874
    Extended Instructions
    		4337
    Floating Point Maths
    		12186
    Integer Maths
    		19325
    Physics
    		834
    Prime Numbers
    		52
    Single Threaded
    		1745
    String Sorting
    		12694

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		2110
    Database Operations
    		2410
    Memory Latency
    		56
    Memory Read Cached
    		19402
    Memory Read Uncached
    		9619
    Memory Write
    		6889

    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

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    INSTANCEVENDORvCPUsMEMORYGPUs

    f1.2xlarge FAQs