clore_hosting/main.py

@@ -554,6 +554,7 @@ class CloreClient:
             try:
                 await monitoring.put("specs_service")
                 current_specs = await specs.get()
+
                 if self.last_hw_specs_submit < (utils.unix_timestamp()-1800):
                     self.last_hw_specs_submit=utils.unix_timestamp()
                     await self.submit_specs(current_specs)

lib/constants.py

@@ -0,0 +1,4 @@
+GPU_ID_TO_NAME = {
+    "0x20c210de": "NVIDIA CMP 170HX",
+    "0x208210de": "NVIDIA CMP 170HX"
+}

lib/get_specs.py

@@ -4,6 +4,7 @@ import xml.etree.ElementTree as ET
 from lib import docker_interface
 from typing import Dict, List, Optional
 from lib import utils
+from lib import constants
 import subprocess
 import speedtest
 import platform
@@ -256,8 +257,8 @@ def get_gpu_info():
     except Exception as e:
         pass
 
-    nvidia_smi_return_code, nvidia_smi_stdout, nvidia_smi_stderr = utils.run_command(f"nvidia-smi --query-gpu=index,name,uuid,serial,memory.total --format=csv")
-    nvidia_smi_xl_return_code, nvidia_smi_xl_stdout, nvidia_smi_xl_stderr = utils.run_command("nvidia-smi --query-gpu=timestamp,name,pci.bus_id,driver_version,pstate,pcie.link.gen.max,pcie.link.gen.current,temperature.gpu,utilization.gpu,utilization.memory,memory.total,memory.free,memory.used --format=csv")
+    nvidia_smi_return_code, nvidia_smi_stdout, nvidia_smi_stderr = utils.run_command(f"nvidia-smi --query-gpu=index,name,uuid,serial,memory.total,pci.device_id --format=csv")
+    nvidia_smi_xl_return_code, nvidia_smi_xl_stdout, nvidia_smi_xl_stderr = utils.run_command("nvidia-smi --query-gpu=timestamp,name,pci.bus_id,driver_version,pstate,pcie.link.gen.max,pcie.link.gen.current,temperature.gpu,utilization.gpu,utilization.memory,memory.total,memory.free,memory.used,pci.device_id --format=csv")
 
     if "Failed to initialize NVML" in nvidia_smi_stdout or "Failed to initialize NVML" in nvidia_smi_stderr or "Failed to initialize NVML" in nvidia_smi_xl_stdout or "Failed to initialize NVML" in nvidia_smi_xl_stderr:
         nvml_err=True
@@ -267,10 +268,15 @@ def get_gpu_info():
             for index, line in enumerate(lines_xl):
                 parts = [s.strip() for s in line.split(',')]
                 if len(parts)>12 and index>0:
+                    gpu_name_xl = parts[1]
+                    gpu_id_xl = parts[13].lower()
+                    if gpu_name_xl == "NVIDIA Graphics Device" and gpu_id_xl in constants.GPU_ID_TO_NAME:
+                        gpu_name_xl = constants.GPU_ID_TO_NAME[gpu_id_xl]
+
                     xl_gpu_info={
                         "id":index-1,
                         "timestamp": parts[0],
-                        "name": parts[1],
+                        "name": gpu_name_xl,
                         "pcie_bus": parts[2].split(':', 1)[1],
                         "driver": parts[3],
                         "pstate": parts[4],
@@ -281,6 +287,7 @@ def get_gpu_info():
                         "mem_free": parts[11],
                         "mem_used": parts[12]
                     }
+
                     try:
                         pci_query = parts[2][parts[2].find(':')+1:]
                         for index, valid_pci_dev in enumerate(valid_pci_dev_list):
@@ -296,7 +303,13 @@ def get_gpu_info():
             for line in lines:
                 parts = line.split(',')
                 if bool(re.match(r'^[0-9]+$', parts[0])):
-                    gpu_str = f"{len(lines)-1}x {parts[1].strip()}"
+
+                    gpu_name = parts[1].strip()
+                    gpu_id = parts[5].strip().lower()
+                    if gpu_name == "NVIDIA Graphics Device" and gpu_id in constants.GPU_ID_TO_NAME:
+                        gpu_name = constants.GPU_ID_TO_NAME[gpu_id]
+
+                    gpu_str = f"{len(lines)-1}x {gpu_name}"
                     gpu_mem = round(int(filter_non_numeric(parts[4]).strip())/1024, 2)
         except Exception as e:
             nvml_err=True

lib/nvml.py

@@ -1,6 +1,7 @@
 from lib import config as config_module
 from lib import logging as logging_lib
 from lib import get_specs
+from lib import constants
 
 config = config_module.config
 log = logging_lib.log
@@ -97,7 +98,13 @@ def init(gpu_specs_file=None, allow_hive_binaries=True):
                 break
             gpu_handle = pynvml.nvmlDeviceGetHandleByIndex(i)
             gpu_uuid = pynvml.nvmlDeviceGetUUID(gpu_handle)
-            gpu_name_list.append(pynvml.nvmlDeviceGetName(gpu_handle))
+
+            gpu_name = pynvml.nvmlDeviceGetName(gpu_handle)
+            gpu_device_id = hex(pynvml.nvmlDeviceGetPciInfo(gpu_handle).pciDeviceId).lower()
+            if gpu_name == "NVIDIA Graphics Device" and gpu_device_id in constants.GPU_ID_TO_NAME:
+                gpu_name = constants.GPU_ID_TO_NAME[gpu_device_id]
+
+            gpu_name_list.append(gpu_name)
             if not f"{i}-{gpu_uuid}" in parsed_specs_keys:
                 parsed_specs={}
                 regenerate_specs=True
@@ -118,7 +125,13 @@ def init(gpu_specs_file=None, allow_hive_binaries=True):
                 max_power_limit = int(power_limits[1] / 1000.0)
                 gpu_spec["default_power_limit"] = int(pynvml.nvmlDeviceGetPowerManagementDefaultLimit(gpu_handle) / 1000.0)
                 gpu_spec["power_limits"] = [min_power_limit, max_power_limit]
-                gpu_spec["name"] = pynvml.nvmlDeviceGetName(gpu_handle)
+
+                gpu_name_regen = pynvml.nvmlDeviceGetName(gpu_handle)
+                gpu_device_id_regen = hex(pynvml.nvmlDeviceGetPciInfo(gpu_handle).pciDeviceId).lower()
+                if gpu_name_regen == "NVIDIA Graphics Device" and gpu_device_id_regen in constants.GPU_ID_TO_NAME:
+                    gpu_name_regen = constants.GPU_ID_TO_NAME[gpu_device_id_regen]
+
+                gpu_spec["name"] = gpu_name_regen
                 gpu_name_list.append(gpu_spec["name"])
                 gpu_spec["locks"] = mem_to_core_allowed_locks