NVIDIA · GPU

RTX A5000

RTX A5000 — 사양과 벤치마크. .

출처에서 확인된 사양입니다. 코어 수·클럭·메모리 용량만으로 작업 성능을 추정하지 않습니다. 측정 버전·환경·표본 수가 같은 벤치마크를 확인하세요.

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전력

항목	값과 조건
출처 보고 최대 GPU 소비전력	230 W 출처와 조건 원문 보기 ↗ { "state": "known", "raw_label": "Max Power Consumption", "raw_value": "230W", "qualifiers": { "reference_configuration": true, "source_architecture_section": "NVIDIA Ampere Architecture", "source_field": "Max Power Consumption", "source_row": 18 }, "document_id": "nvidia-workstation-specs-d65c4fe926a4dde0" }

항목

값과 조건

출처 보고 최대 GPU 소비전력

230 W

출처와 조건

원문 보기 ↗

{
  "state": "known",
  "raw_label": "Max Power Consumption",
  "raw_value": "230W",
  "qualifiers": {
    "reference_configuration": true,
    "source_architecture_section": "NVIDIA Ampere Architecture",
    "source_field": "Max Power Consumption",
    "source_row": 18
  },
  "document_id": "nvidia-workstation-specs-d65c4fe926a4dde0"
}

연산 구성

항목	값과 조건
아키텍처	NVIDIA Ampere Architecture 출처와 조건 원문 보기 ↗ { "state": "known", "raw_label": "Architecture", "raw_value": "NVIDIA Ampere Architecture", "qualifiers": { "reference_configuration": true, "source_architecture_section": "NVIDIA Ampere Architecture", "source_field": "Architecture", "source_row": 18 }, "document_id": "nvidia-workstation-specs-d65c4fe926a4dde0" }

항목

값과 조건

아키텍처

NVIDIA Ampere Architecture

출처와 조건

원문 보기 ↗

{
  "state": "known",
  "raw_label": "Architecture",
  "raw_value": "NVIDIA Ampere Architecture",
  "qualifiers": {
    "reference_configuration": true,
    "source_architecture_section": "NVIDIA Ampere Architecture",
    "source_field": "Architecture",
    "source_row": 18
  },
  "document_id": "nvidia-workstation-specs-d65c4fe926a4dde0"
}

메모리

항목	값과 조건
그래픽 메모리 규격	GDDR6 출처와 조건 원문 보기 ↗ { "state": "known", "raw_label": "GPU Memory", "raw_value": "GDDR6", "qualifiers": { "reference_configuration": true, "source_architecture_section": "NVIDIA Ampere Architecture", "source_combined_value": "24GB GDDR6 with ECC", "source_field": "GPU Memory", "source_row": 18 }, "document_id": "nvidia-workstation-specs-d65c4fe926a4dde0" }
전용 VRAM	24 GB 출처와 조건 원문 보기 ↗ { "state": "known", "raw_label": "GPU Memory", "raw_value": "24 GB", "qualifiers": { "reference_configuration": true, "source_architecture_section": "NVIDIA Ampere Architecture", "source_combined_value": "24GB GDDR6 with ECC", "source_field": "GPU Memory", "source_row": 18 }, "document_id": "nvidia-workstation-specs-d65c4fe926a4dde0" } 24 GB 출처와 조건 원문 보기 ↗ { "state": "known", "raw_label": "Graphics Memory Size", "raw_value": "24", "qualifiers": { "reference_configuration": true, "source_architecture_section": "NVIDIA Ampere Architecture", "source_field": "Graphics Memory Size", "source_row": 18 }, "document_id": "nvidia-workstation-specs-d65c4fe926a4dde0" }

항목

값과 조건

그래픽 메모리 규격

GDDR6

출처와 조건

원문 보기 ↗

{
  "state": "known",
  "raw_label": "GPU Memory",
  "raw_value": "GDDR6",
  "qualifiers": {
    "reference_configuration": true,
    "source_architecture_section": "NVIDIA Ampere Architecture",
    "source_combined_value": "24GB GDDR6 with ECC",
    "source_field": "GPU Memory",
    "source_row": 18
  },
  "document_id": "nvidia-workstation-specs-d65c4fe926a4dde0"
}

전용 VRAM

24 GB

출처와 조건

원문 보기 ↗

{
  "state": "known",
  "raw_label": "GPU Memory",
  "raw_value": "24 GB",
  "qualifiers": {
    "reference_configuration": true,
    "source_architecture_section": "NVIDIA Ampere Architecture",
    "source_combined_value": "24GB GDDR6 with ECC",
    "source_field": "GPU Memory",
    "source_row": 18
  },
  "document_id": "nvidia-workstation-specs-d65c4fe926a4dde0"
}

24 GB

출처와 조건

원문 보기 ↗

{
  "state": "known",
  "raw_label": "Graphics Memory Size",
  "raw_value": "24",
  "qualifiers": {
    "reference_configuration": true,
    "source_architecture_section": "NVIDIA Ampere Architecture",
    "source_field": "Graphics Memory Size",
    "source_row": 18
  },
  "document_id": "nvidia-workstation-specs-d65c4fe926a4dde0"
}

연결과 세부 기능

항목	값과 조건
CUDA 컴퓨트 기능 등급	8.6 출처와 조건 원문 보기 ↗ { "state": "known", "raw_label": "CUDA Compute Capability", "raw_value": "8.6", "qualifiers": { "evidence_scope": "compute-capability-listing; not runtime-compatibility guarantee", "source_field": "CUDA Compute Capability", "source_row": 53 }, "document_id": "nvidia-cuda-current-adea1d9c5294e1ce" }

항목

값과 조건

CUDA 컴퓨트 기능 등급

8.6

출처와 조건

원문 보기 ↗

{
  "state": "known",
  "raw_label": "CUDA Compute Capability",
  "raw_value": "8.6",
  "qualifiers": {
    "evidence_scope": "compute-capability-listing; not runtime-compatibility guarantee",
    "source_field": "CUDA Compute Capability",
    "source_row": 53
  },
  "document_id": "nvidia-cuda-current-adea1d9c5294e1ce"
}

공개 벤치마크

버전·장면·설정·집계 방식이 같은 결과끼리 비교하세요. 실행 수 0은 실제 실행을 새로 측정하지 않은 출처 집계·보고 값입니다.

V-Ray (8)

V-Ray 6 (build unknown) v6-current-cuda

2,439 vpaths

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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V-Ray 6 (build unknown) v6-current-cuda

2,764 vpaths

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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V-Ray 6 (build unknown) v6-current-cuda

2,715 vpaths

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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V-Ray 6 (build unknown) v6-current-cuda

2,648 vpaths

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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  "source_sample_count": 7,
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V-Ray 6 (build unknown) v6-current-rtx

3,598 vpaths

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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      "scene_identity_status": "current public v6 scene; asset checksum unavailable",
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      "source_max": 3713,
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      "source_sample_count": 6,
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    },
    "scene": "v6-current-rtx",
    "scene_checksum": "chaos-v6-current-workload:rtx",
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  "condition_id": "4a32e7a4ab0d9a5e7f41",
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V-Ray 6 (build unknown) v6-current-rtx

3,610 vpaths

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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  "condition_id": "48c5c4dd8c36e58043dc",
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  "product_id": "rtx-a5000",
  "record_count": 1,
  "reported_value": 3610,
  "run_count": 0,
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  "source_sample_count": 1,
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V-Ray 6 (build unknown) v6-current-rtx

3,658 vpaths

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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      "source_configuration_id": 2280,
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      "source_sample_count": 1,
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  "condition_id": "e1d138701aa5eeffd35d",
  "document_id": "bench-82e84d1669414edf-1ae4100500e2099c",
  "example_record_ids": [
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V-Ray 6 (build unknown) v6-current-rtx

4,114 vpaths

실행 수: 0 (집계·보고 값)

원문 보기 ↗

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      "evidence_type": "source-aggregate",
      "population": "Chaos public submitted runs; mixed systems",
      "scene_identity_status": "current public v6 scene; asset checksum unavailable",
      "settings_status": "unknown",
      "source_configuration_id": 215,
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      "source_max": 4278,
      "source_median": 4106,
      "source_model_url": "https://benchmark.chaos.com/vray/v6/vray-gpu/215",
      "source_sample_count": 8,
      "statistic": "mean"
    },
    "scene": "v6-current-rtx",
    "scene_checksum": "chaos-v6-current-workload:rtx",
    "version": "6 (build unknown)"
  },
  "condition_id": "c4517327ef13bb983eff",
  "document_id": "bench-2ca58ed5f3b7607a-84acdc67217ac7ae",
  "example_record_ids": [
    "215"
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  "record_count": 1,
  "reported_value": 4114,
  "run_count": 0,
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  "source_sample_count": 8,
  "statistic": "mean"
}

출처

원문 이용 조건과 확인일을 함께 제공합니다. 출처별 수치와 조건은 변경될 수 있습니다.

원문 보기 ↗ 2026-10-09

Official NVIDIA workstation comparison tables; architecture sections and explicit memory variants retained

원문 보기 ↗ 2026-10-09

Official NVIDIA CUDA compute-capability tables

원문 보기 ↗ 2026-10-09

Published numeric/categorical facts; original page retained locally; exact catalog model matching only

원문 보기 ↗ 2026-10-09

Official NVIDIA current and legacy supported-chip tables; device names and PCI identifiers only

원문 보기 ↗ 2026-10-09

Public benchmark facts; source aggregates retained; original snapshot local

원문 보기 ↗ 2026-10-09

Public benchmark facts; source aggregates retained; original snapshot local

원문 보기 ↗ 2026-10-09

Public benchmark facts; source aggregates retained; original snapshot local

원문 보기 ↗ 2026-10-09

Public benchmark facts; source aggregates retained; original snapshot local

원문 보기 ↗ 2026-10-09

Public benchmark facts; source aggregates retained; original snapshot local

원문 보기 ↗ 2026-10-09

Public benchmark facts; source aggregates retained; original snapshot local

원문 보기 ↗ 2026-10-09

Public benchmark facts; source aggregates retained; original snapshot local