r8in.24xlarge is a Memory optimized [Intel processors] [Network and EBS optimized] Gen8 24xlarge server offered by Amazon Web Services with 96 vCPUs, 768 GiB of memory and 0 GB of storage. The pricing starts at 1.576 USD per hour.
Memory optimized [Intel processors] [Network and EBS optimized] Gen8 24xlarge
Family
r8in
Hw Virt
-
Status
active
Observed At
2026-07-10T10:33:28.363119
Availability
REGION / ID
SPOT
ONDEMAND
Northern Virgina (US) / us-east-1
2.183967 USD/h
10.0416 USD/h
Oregon (US) / us-west-2
2.698033 USD/h
10.0416 USD/h
Ohio (US) / us-east-2
5.997733 USD/h
10.0416 USD/h
Aragón (ES) / eu-south-2
8.419367 USD/h
11.2546 USD/h
Dublin (IE) / eu-west-1
5.547133 USD/h
11.2546 USD/h
Frankfurt (DE) / eu-central-1
5.0086 USD/h
11.9957 USD/h
Tokyo (JP) / ap-northeast-1
5.379833 USD/h
12.1978 USD/h
Processor
vCPUs
96
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
48
CPU Speed
3.9 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
System Resources and Accelerators
MEMORY
Memory Amount
768 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
STORAGE
Storage Size
0 GB
Storages
NETWORK
Network Speed Baseline
150 Gbps
Network Speed Max
150 Gbps
Network Storage Speed Baseline
30 Gbps
Network Storage Speed Max
30 Gbps
Inbound Traffic
0 GB/month
Outbound Traffic
0 GB/month
IPv4
0
Server Description
A memory-optimized server featuring ninety-six virtual CPUs, seven hundred sixty-eight gigabytes of RAM, and high-speed baseline network connectivity.
Memory OptimizedStorage & DatabaseGeneral Purpose
Amazon Web Services r8in.24xlarge is an eighth-generation, memory-optimized instance designed for resource-intensive enterprise workloads. Powered by dedicated Intel x86_64 processors running at 3.9 GHz, it delivers 96 vCPUs across 48 physical cores with hyperthreading enabled. The instance features 768.0 GB of system memory, providing a high memory-to-core ratio of 8.0 GB per vCPU. Built on the AWS Nitro hypervisor, it ensures minimal virtualization overhead and dedicated resource allocation. Network performance is a key highlight, offering a baseline bandwidth of 150 Gbps. The instance does not include local storage or GPU accelerators, relying entirely on network-attached Elastic Block Store volumes. This hardware profile is highly optimized for large-scale in-memory databases, real-time data analytics, caching layers, and memory-intensive enterprise applications.
Economics
Average Price per Region
Prices per Zone
Lowest Prices
Workload Profiles
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.
Precomputed compound score for CI/CD Build 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% Geekbench Clang compilation (multi-core), 10% Geekbench Clang compilation (single-core), 20% stress-ng div16 best-N cores, 5% PassMark integer math, 5% PassMark compression, 5% Brotli compression (multi-core, level 0), 5% PassMark string sorting. Rationale for component selection: Build performance is mainly driven by multi-core compilation throughput, but also bundles single-core compilation speed and general CPU performance, multi-core compression and text/scripting processing.
Precomputed compound score for Compute Heavy Applications 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: 15% stress-ng div16 best-N cores, 10% stress-ng div16 single core, 20% PassMark CPU Mark (composite), 10% Memory bandwidth (read, 64 MB), 15% PassMark floating point, 15% PassMark AVX/SSE/FMA (SIMD), 10% PassMark integer math, 5% PassMark physics simulation. Rationale for component selection: Number-crunching workload augmenting raw CPU performance stressing, general CPU performance benchmarks, memory bandwidth, and pure math computation speed like floating point, integer, SIMD (AVX/SSE/FMA) operations.
Precomputed compound score for Data Analysis 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: 70% PassMark CPU Mark (composite), 10% Gzip compression (single-core, level 5), 10% Memory bandwidth (read, 64 MB), 10% PassMark Memory Mark (composite). Rationale for component selection: Data analysis and ETL workloads are memory-bandwidth-bound and CPU-throughput-driven. The profile combines general CPU performance and memory bandwidth/latency as the primary drivers, supplemented by single-core compression speed as a proxy for serialisation-heavy ETL tasks.
Precomputed compound score for LLM Inference 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: 15% LLM text generation (SmolLM-135M, 128 tok), 15% LLM prompt processing (SmolLM-135M, 512 tok), 15% LLM text generation (Llama 7B, 128 tok), 15% LLM prompt processing (Llama 7B, 512 tok), 15% LLM text generation (Llama-3.3 70B, 128 tok), 15% LLM prompt processing (Llama-3.3 70B, 512 tok), 5% Memory bandwidth (read, 256 MB), 2% PassMark AVX/SSE/FMA (SIMD), 2% PassMark floating point. Rationale for component selection: VRAM and memory-bandwidth-bound LLM inference workload, using direct LLM speed benchmarks at three model sizes, and supplementing with raw memory bandwidth and SIMD performance benchmarks.
Precomputed compound score for Web Server 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: 30% Static web RPS (1 KiB, 8 conn/vCPU), 20% Static web RPS (64 KiB, 8 conn/vCPU), 20% Static web throughput (256 KiB, 8 conn/vCPU), 20% OpenSSL AES-256-CBC (16 kB blocks), 5% Gzip compression (multi-core, level 5), 5% PassMark string sorting. Rationale for component selection: Primary workloads drivers are single-process static HTTP serving speed and throughput, text processing, TLS termination, and asset compression.
r8in.24xlarge is a Memory optimized [Intel processors] [Network and EBS optimized] Gen8 24xlarge server offered by Amazon Web Services with 96 vCPUs, 768 GiB of memory and 0 GB of storage. The pricing starts at 1.576 USD per hour.
The r8in.24xlarge server is equipped with 96 logical CPU cores on 48 Intel physical CPU cores running at max. 3.9 Ghz, 768 GiB of memory, 0 GB of storage, and no GPU. Additional block storage can be attached as needed.
The pricing for r8in.24xlarge servers starts at 1.576 USD per hour, but the actual price depends on the selected region, zone and server allocation method (e.g. on-demand versus spot pricing options): currently, we track the prices in 42 regions and zones every 5 minutes, and the maximum price stands at 12.1978 USD.
The r8in.24xlarge server is offered by Amazon Web Services, founded in 2002, headquartered in Washington, United States. For more information, visit the Amazon Web Services homepage.
The r8in.24xlarge server is available in 42 availability zones of the following 7 regions: Northern Virgina (US), Oregon (US), Aragón (ES), Ohio (US), Frankfurt (DE), Tokyo (JP), Dublin (IE).
