vt1.24xlarge by Amazon Web Services

vt1.24xlarge is a Video transcoding Gen1 24xlarge server offered by Amazon Web Services with 96 vCPUs, 192 GiB of memory and 0 GB of storage. The pricing starts at 1.053 USD per hour.
96 vCPU
192 GiB Memory
8 VPU
Spare SCore
80,290
(All-cores)
1,284
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
vt1.24xlarge
Description
Video transcoding Gen1 24xlarge
Family
Accelerated Computing
Series
vt1
Hw Virt
Status
active
Observed At
2026-11-13T14:19:48.291047

Availability

Region / IDSpotOndemand
Northern Virgina (US) / us-east-1
2.94965 USD/h
5.2 USD/h
Oregon (US) / us-west-2
1.0633 USD/h
5.2 USD/h
Dublin (IE) / eu-west-1
1.42885 USD/h
5.8729 USD/h
Tokyo (JP) / ap-northeast-1
2.174 USD/h
6.5459 USD/h

Processor

vCPUs
96
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
48
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8259CL
CPU L1D Cache
32 KiB
CPU L1D Cache Total
2 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
2 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
48 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
72 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, 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, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, mpx, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, ida, arat, pku, ospke, avx512_vnni
Ecpus
62.5
Scalability
65.1

System Resources and Accelerators

Memory
Memory Amount
192 GiB
Memory Amount Actual
192 GiB
Memory Generation
DDR4
Memory Speed
2933 Mhz
Accelerators
Accelerator Count
8
Accelerator Memory Min
24 GiB
Accelerator Memory Total
192 GiB
Accelerator Type
VPU
Accelerator Manufacturer
Xilinx
Accelerator Model
U30
Accelerators
  • Xilinx U30 (Memory amount: 24576)
  • Xilinx U30 (Memory amount: 24576)
  • Xilinx U30 (Memory amount: 24576)
  • Xilinx U30 (Memory amount: 24576)
  • Xilinx U30 (Memory amount: 24576)
  • Xilinx U30 (Memory amount: 24576)
  • Xilinx U30 (Memory amount: 24576)
  • Xilinx U30 (Memory amount: 24576)
Storage
Storage Size
0 GB
Storages
    Compatible Storage IDs
    standard, gp2, gp3, st1, sc1, io1, io2
    Network
    Network Speed Baseline
    25 Gbps
    Network Speed Max
    25 Gbps
    Network Storage Speed Baseline
    19 Gbps
    Network Storage Speed Max
    19 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    A high-core-density compute instance optimized for parallel processing, multi-threaded video transcoding, and high-throughput memory operations.

    Amazon Web Services vt1.24xlarge is an x86_64 compute-focused instance optimized for video transcoding and highly parallel workloads. Running on the Nitro hypervisor, it features 96 dedicated vCPUs via an Intel Xeon 8259CL processor at 2.5 GHz, paired with 192.0 GB of DDR4 memory. It does not include local storage or discrete GPUs, but provides a 25 Gbps baseline network bandwidth. Performance benchmarks show a significant contrast: single-core performance is weak, ranking in the bottom 25%, whereas multi-core CPU performance, memory bandwidth, and Redis operations are strong, placing in the top 25%. This hardware profile is highly cost-efficient for parallelized, compute-heavy tasks such as multi-threaded transcoding, static web serving, and high-throughput key-value databases, but is poorly suited for single-threaded applications or LLM text generation.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    2.8Score
    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) 7,710,753 ops/sec 1,930,206 ops/sec 4.1 50.00% 50.00% +100.00%
    Redis RPS (pipeline=16, SET) 45,300,274 ops/sec 11,811,515 ops/sec 3.8 20.00% 20.00% +31.00%
    PassMark Memory Mark (composite) 2,539 2,408 1 10.00% 10.00% 0.00%
    Memory bandwidth (read, 16 MB ~ L3) 223,641 MB/sec 108,674 MB/sec 2 10.00% 10.00% +7.20%
    PassMark single-thread CPU 1,812 Mops/s 2,365 Mops/s 0.75 10.00% 10.00% -2.80%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,146

    Geekbench Multi-Core

    Score: 11,943

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 53,508
    Compression
    		 1,164,964
    Encryption
    		 36,526
    Extended Instructions
    		 73,176
    Floating Point Maths
    		 144,055
    Integer Maths
    		 268,636
    Physics
    		 4,883
    Prime Numbers
    		 325
    Single Threaded
    		 1,812
    String Sorting
    		 135,262

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2,539
    Database Operations
    		 20,837
    Memory Latency
    		 57
    Memory Read Cached
    		 22,227
    Memory Read Uncached
    		 10,150
    Memory Write
    		 9,988

    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
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    g6f.xlarge 416 GiB⅛
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    inf1.xlarge 48 GiB1
    g4dn.xlarge 416 GiB1
    g5.xlarge 416 GiB1
    g6.xlarge 416 GiB1

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    vt1.24xlarge FAQs