NC32ads_A10_v4 is a NCADSA10v4 family [AMD processor] [Local Disk] [Premium Storage capable] 32 vCPUs server offered by Microsoft Azure with 32 vCPUs, 400 GiB of memory and 2.95 TB of storage. The pricing starts at 0.8131 USD per hour.
A GPU-accelerated instance combining dedicated AMD processors, high-capacity system memory, and substantial local storage for demanding workloads.
GPU AcceleratedMemory OptimizedStorage & Database
The Microsoft Azure NC32ads_A10_v4 is a GPU-accelerated virtual machine from the NCADSA10v4 family, powered by an x86_64 AMD processor with 32 dedicated vCPUs. It features 400.0 GB of system memory, translating to 12.5 GB per vCPU, and is equipped with a single NVIDIA A10 GPU containing 22 GB of VRAM. Storage needs are met by 2949 GB of local disk, with Premium Storage capability supported. Operating under the Microsoft Hyper-V hypervisor, this server does not include complimentary public IPv4 addresses. The hardware configuration delivers a balanced ratio of compute, memory, and graphics acceleration without compromising local storage performance. The combination of high-capacity system memory, dedicated GPU acceleration, and substantial local storage makes this instance well-suited for demanding workloads such as data science, machine learning inference, and memory-intensive database operations.
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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 kB, 8 conn/vCPU), 20% Static web RPS (64 kB, 8 conn/vCPU), 20% Static web throughput (256 kB, 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.
NC32ads_A10_v4 is a NCADSA10v4 family [AMD processor] [Local Disk] [Premium Storage capable] 32 vCPUs server offered by Microsoft Azure with 32 vCPUs, 400 GiB of memory and 2.95 TB of storage. The pricing starts at 0.8131 USD per hour.
The NC32ads_A10_v4 server is equipped with 32 logical CPU cores on unknown number of physical CPU core(s), 400 GiB of memory, 2.95 TB of storage, and 1 A10 GPU. Additional block storage can be attached as needed.
The pricing for NC32ads_A10_v4 servers starts at 0.8131 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 18 regions and zones every 5 minutes, and the maximum price stands at 5.72 USD.
The NC32ads_A10_v4 server is offered by Microsoft Azure, founded in 2010, headquartered in Washington, United States. For more information, visit the Microsoft Azure homepage.
The NC32ads_A10_v4 server is available in 18 availability zones of the following 3 regions: West US 3 (US), South Central US (US), West Europe (NL).
