2025-07-18 07:25:28 +00:00
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|
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resource_packages:
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|
|
- name: contest_on_demand_a100_x1
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|
description: 适用于非常驻服务7b/14b-int4推理
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|
resources:
|
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|
|
|
memory: 20Gi
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|
|
|
cpu: 4
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|
|
gpu:
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|
|
type: gpu
|
2025-07-30 08:44:39 +00:00
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|
|
device_label: A10080G
|
2025-07-18 07:25:28 +00:00
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|
gpu_key: nvidia.com/gpu
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gpu_value: 1
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2025-07-30 08:44:39 +00:00
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|
|
memory_key: null
|
2025-08-21 09:49:01 +00:00
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|
memory_value: '80'
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2025-07-30 08:49:48 +00:00
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|
- name: contest_on_demand_a100_x4
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|
description: 适用于非常驻服务7b/14b-int4推理
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|
resources:
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|
memory: 100Gi
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cpu: 5
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|
gpu:
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|
type: gpu
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|
device_label: A10080G
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|
gpu_key: nvidia.com/gpu
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gpu_value: 4
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memory_key: null
|
2025-08-21 09:49:01 +00:00
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memory_value: '80'
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2025-07-30 08:50:36 +00:00
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|
- name: Ephemeral-RTX3090*1
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description: 适用于非常驻服务7b/14b-int4推理
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|
resources:
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|
|
memory: 20Gi
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|
cpu: 4
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gpu:
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type: gpu
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device_label: '3090'
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gpu_key: nvidia.com/gpu
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gpu_value: 1
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memory_key: null
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memory_value: null
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2025-07-30 08:51:11 +00:00
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- name: Ephemeral-RTX3090*2
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description: 适用于非常驻服务7b/14b-int4推理
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resources:
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|
memory: 20Gi
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|
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cpu: 4
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|
gpu:
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|
type: gpu
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|
device_label: '3090'
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gpu_key: nvidia.com/gpu
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gpu_value: 2
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memory_key: null
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memory_value: null
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2025-07-30 08:52:43 +00:00
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|
- name: R200-8F*1
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description: 适用于7b/14b-int4推理
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resources:
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memory: 100Gi
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cpu: 20
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gpu:
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type: gpu
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device_label: R200-8F
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gpu_key: baidu.com/xpu
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gpu_value: 1
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memory_key: null
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memory_value: null
|
2025-07-30 08:53:23 +00:00
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|
|
- name: R200-8F*2
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|
|
description: 适用于7b/14b-int4推理
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|
|
|
|
resources:
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|
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|
|
memory: 100Gi
|
|
|
|
|
cpu: 20
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|
|
gpu:
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|
|
type: gpu
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|
|
device_label: R200-8F
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gpu_key: baidu.com/xpu
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|
|
gpu_value: 2
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|
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memory_key: null
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memory_value: null
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2025-07-30 08:54:05 +00:00
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|
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- name: R200-8F*4
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|
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description: 适用于7b/14b-int4推理
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resources:
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|
|
memory: 100Gi
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|
|
cpu: 20
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|
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|
|
gpu:
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|
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|
|
type: gpu
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|
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|
|
device_label: R200-8F
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|
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gpu_key: baidu.com/xpu
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|
|
gpu_value: 4
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|
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memory_key: null
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memory_value: null
|
2025-07-30 08:54:41 +00:00
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|
|
- name: MLU370-X4*1
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|
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description: 适用于7b/14b-int4推理
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resources:
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|
|
|
memory: 20Gi
|
|
|
|
|
cpu: 10
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|
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|
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gpu:
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|
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type: gpu
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device_label: MLU370-X4
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gpu_key: cambricon.com/mlu
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gpu_value: 1
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memory_key: null
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memory_value: null
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2025-07-30 08:55:16 +00:00
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|
|
- name: MLU370-X4*2
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|
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description: 适用于7b/14b-int4推理
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resources:
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|
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memory: 20Gi
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|
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cpu: 10
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|
gpu:
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type: gpu
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|
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device_label: MLU370-X4
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gpu_key: cambricon.com/mlu
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gpu_value: 2
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memory_key: null
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memory_value: null
|
2025-07-30 08:56:02 +00:00
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|
|
- name: MR-V100*1
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|
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description: 适用于7b/14b-int4推理
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resources:
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|
|
memory: 20Gi
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|
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cpu: 10
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|
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|
|
gpu:
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|
|
type: gpu
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|
|
device_label: Iluvatar MR-V100
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gpu_key: iluvatar.ai/gpu
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|
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gpu_value: 1
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|
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memory_key: null
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|
|
|
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memory_value: null
|
2025-07-30 08:56:47 +00:00
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|
|
- name: MR-V100*2
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|
|
|
|
description: 适用于7b/14b-int4推理
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|
|
|
|
resources:
|
|
|
|
|
memory: 20Gi
|
|
|
|
|
cpu: 10
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|
|
|
|
gpu:
|
|
|
|
|
type: gpu
|
|
|
|
|
device_label: Iluvatar MR-V100
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|
|
|
|
gpu_key: iluvatar.ai/gpu
|
|
|
|
|
gpu_value: 2
|
|
|
|
|
memory_key: null
|
|
|
|
|
memory_value: null
|
2025-07-30 08:57:19 +00:00
|
|
|
- name: MR-V100*4
|
|
|
|
|
description: 适用于7b/14b-int4推理
|
|
|
|
|
resources:
|
|
|
|
|
memory: 20Gi
|
|
|
|
|
cpu: 10
|
|
|
|
|
gpu:
|
|
|
|
|
type: gpu
|
|
|
|
|
device_label: Iluvatar MR-V100
|
|
|
|
|
gpu_key: iluvatar.ai/gpu
|
|
|
|
|
gpu_value: 4
|
|
|
|
|
memory_key: null
|
|
|
|
|
memory_value: null
|
2025-07-30 08:58:05 +00:00
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|
|
- name: ' RTX3090*1'
|
|
|
|
|
description: 适用于7b/14b-int4推理
|
|
|
|
|
resources:
|
|
|
|
|
memory: 20Gi
|
|
|
|
|
cpu: 10
|
|
|
|
|
gpu:
|
|
|
|
|
type: gpu
|
|
|
|
|
device_label: NVIDIA GeForce RTX 3090
|
|
|
|
|
gpu_key: nvidia.com/gpu
|
|
|
|
|
gpu_value: 1
|
|
|
|
|
memory_key: null
|
|
|
|
|
memory_value: null
|
2025-07-30 08:58:41 +00:00
|
|
|
- name: RTX3090*2
|
|
|
|
|
description: 适用于 sagegpt / 34b-int4
|
|
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|
|
resources:
|
|
|
|
|
memory: 80Gi
|
|
|
|
|
cpu: 10
|
|
|
|
|
gpu:
|
|
|
|
|
type: gpu
|
|
|
|
|
device_label: NVIDIA GeForce RTX 3090
|
|
|
|
|
gpu_key: nvidia.com/gpu
|
|
|
|
|
gpu_value: 2
|
|
|
|
|
memory_key: null
|
|
|
|
|
memory_value: null
|
2025-07-30 08:59:19 +00:00
|
|
|
- name: RTX3090*4
|
|
|
|
|
description: '适用于 72b-int4 '
|
|
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|
|
resources:
|
|
|
|
|
memory: 40Gi
|
|
|
|
|
cpu: 10
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|
|
|
|
gpu:
|
|
|
|
|
type: gpu
|
|
|
|
|
device_label: NVIDIA GeForce RTX 3090
|
|
|
|
|
gpu_key: nvidia.com/gpu
|
|
|
|
|
gpu_value: 4
|
|
|
|
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memory_key: null
|
|
|
|
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memory_value: null
|
2025-07-30 09:01:35 +00:00
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|
|
- name: vmemory-24Gi
|
|
|
|
|
description: 适用于14b-int4/7b模型上线推理
|
|
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|
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resources:
|
|
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|
|
memory: 20Gi
|
|
|
|
|
cpu: 10
|
|
|
|
|
gpu:
|
|
|
|
|
type: vgpu
|
|
|
|
|
device_label: NVIDIA GeForce RTX 3090
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|
|
|
|
gpu_key: nvidia.com/gpu
|
|
|
|
|
gpu_value: 1
|
|
|
|
|
memory_key: null
|
|
|
|
|
memory_value: '24'
|
2025-07-30 09:02:06 +00:00
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|
|
- name: vmemory-2-48Gi
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|
|
description: '适用于式说大模型 '
|
|
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|
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resources:
|
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|
|
|
memory: 100Gi
|
|
|
|
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cpu: 10
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|
|
|
|
gpu:
|
|
|
|
|
type: vgpu
|
|
|
|
|
device_label: NVIDIA GeForce RTX 3090
|
|
|
|
|
gpu_key: nvidia.com/gpu
|
|
|
|
|
gpu_value: 2
|
|
|
|
|
memory_key: null
|
|
|
|
|
memory_value: '24'
|
2025-07-30 09:02:49 +00:00
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|
|
- name: vmemory-10Gi
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|
|
description: 适用于7b-int4/embedding模型上线推理
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resources:
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memory: 10Gi
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|
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cpu: 1
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|
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gpu:
|
|
|
|
|
type: vgpu
|
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|
|
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device_label: NVIDIA GeForce RTX 3090
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|
|
gpu_key: nvidia.com/gpu
|
|
|
|
|
gpu_value: 1
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|
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memory_key: null
|
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|
|
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memory_value: '24'
|
2025-07-30 09:04:04 +00:00
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|
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- name: A100-14b模型推理套餐
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description: 适用于14b模型上线推理
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|
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resources:
|
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|
|
memory: 20Gi
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|
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|
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cpu: 4
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|
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|
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gpu:
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|
|
type: gpu
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|
|
|
|
device_label: Nvidia A100(80G)
|
|
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|
|
gpu_key: nvidia.com/gpu
|
|
|
|
|
gpu_value: 1
|
|
|
|
|
memory_key: null
|
2025-08-21 09:48:45 +00:00
|
|
|
memory_value: '80'
|
2025-07-30 09:04:33 +00:00
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|
|
- name: A100-14b模型推理套餐1
|
|
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|
|
description: 适用于14b模型上线推理
|
|
|
|
|
resources:
|
|
|
|
|
memory: 20Gi
|
|
|
|
|
cpu: 4
|
|
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|
|
gpu:
|
|
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|
|
type: gpu
|
|
|
|
|
device_label: Nvidia A100(80G)
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|
|
|
|
gpu_key: nvidia.com/gpu
|
|
|
|
|
gpu_value: 1
|
|
|
|
|
memory_key: null
|
2025-08-21 09:48:45 +00:00
|
|
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memory_value: '80'
|
2025-07-30 09:05:34 +00:00
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|
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- name: A100-7b模型训练套餐(此种情况为非vgpu)
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|
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description: 适用于7b模型finetune
|
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|
|
|
resources:
|
|
|
|
|
memory: 128Gi
|
|
|
|
|
cpu: 40
|
|
|
|
|
gpu:
|
|
|
|
|
type: gpu
|
|
|
|
|
device_label: Nvidia A100(80G)
|
|
|
|
|
gpu_key: nvidia.com/gpu
|
|
|
|
|
gpu_value: 2
|
|
|
|
|
memory_key: null
|
2025-08-21 09:48:45 +00:00
|
|
|
memory_value: '80'
|
2025-07-30 09:06:15 +00:00
|
|
|
- name: RTX3090*8
|
|
|
|
|
description: 适用于finetune
|
|
|
|
|
resources:
|
|
|
|
|
memory: 200Gi
|
|
|
|
|
cpu: 10
|
|
|
|
|
gpu:
|
|
|
|
|
type: gpu
|
|
|
|
|
device_label: NVIDIA GeForce RTX 3090
|
|
|
|
|
gpu_key: nvidia.com/gpu
|
|
|
|
|
gpu_value: 8
|
|
|
|
|
memory_key: null
|
|
|
|
|
memory_value: null
|
2025-08-27 03:13:07 +00:00
|
|
|
- name: 沐曦C500资源套餐
|
2025-08-25 09:24:36 +00:00
|
|
|
description: null
|
|
|
|
|
resources:
|
2025-08-27 03:13:07 +00:00
|
|
|
memory: 20Gi
|
2025-08-25 09:24:36 +00:00
|
|
|
cpu: 4
|
|
|
|
|
gpu:
|
|
|
|
|
type: gpu
|
2025-08-27 03:13:07 +00:00
|
|
|
device_label: MXC500
|
|
|
|
|
gpu_key: metax-tech.com/gpu
|
|
|
|
|
gpu_value: 2
|
2025-08-25 09:24:36 +00:00
|
|
|
memory_key: null
|
2025-08-27 03:13:07 +00:00
|
|
|
memory_value: '64'
|
|
|
|
|
- name: 天数BIV100资源套餐
|
2025-08-25 09:28:43 +00:00
|
|
|
description: null
|
|
|
|
|
resources:
|
2025-08-27 03:13:07 +00:00
|
|
|
memory: 50Gi
|
2025-08-25 09:28:43 +00:00
|
|
|
cpu: 4
|
|
|
|
|
gpu:
|
|
|
|
|
type: gpu
|
2025-08-27 03:13:07 +00:00
|
|
|
device_label: IluvatarBIV100
|
|
|
|
|
gpu_key: iluvatar.ai/gpu
|
2025-08-26 10:40:06 +00:00
|
|
|
gpu_value: 2
|
2025-08-25 09:28:43 +00:00
|
|
|
memory_key: null
|
2025-08-27 03:13:07 +00:00
|
|
|
memory_value: '32'
|
2025-09-12 06:15:54 +00:00
|
|
|
- name: 华为910B资源套餐
|
|
|
|
|
description: null
|
|
|
|
|
resources:
|
2025-09-12 09:12:34 +00:00
|
|
|
memory: 30Gi
|
2025-09-12 06:15:54 +00:00
|
|
|
cpu: 4
|
|
|
|
|
gpu:
|
|
|
|
|
type: gpu
|
|
|
|
|
device_label: 910b
|
|
|
|
|
gpu_key: huawei.com/Ascend910B
|
|
|
|
|
gpu_value: 1
|
|
|
|
|
memory_key: null
|
|
|
|
|
memory_value: null
|
