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[GH-ISSUE #15131] is it possibel to run both m60 gpus in linux? #35447

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opened 2026-04-22 19:56:35 -05:00 by GiteaMirror · 8 comments
GiteaMirror commented 2026-04-22 19:56:35 -05:00
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Originally created by @jcharth on GitHub (Mar 29, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/15131

What is the issue?

I picked up a m60 on ebay. gpu 0 can only run in vulkan mode with no cuda version specified. gpu 1 can run on vulkan with cuda version 12 specified but i can also run without vulkan. i can run 2 instances of ollama with different settings. i tried cuda 11. i tried multiple driver versions and cuda versions. i also tried multiple ollama versions. ive seen posts of people running 1 gpu only in the m60 testla gpu. i also tried snapd and docker with no luck. memtest_vulkan runs fine on both gpus. any suggestions. thanks.

Relevant log output

CUDA error: an illegal memory access was encountered
  current device: 0, in function ggml_backend_cuda_synchronize at /ml/backend/ggml/ggml/src/ggml-cuda/ggml-cuda.cu:2981
  cudaStreamSynchronize(cuda_ctx->stream())

OS

Linux

GPU

Nvidia

CPU

Intel

Ollama version

0.18.3

Originally created by @jcharth on GitHub (Mar 29, 2026). Original GitHub issue: https://github.com/ollama/ollama/issues/15131 ### What is the issue? I picked up a m60 on ebay. gpu 0 can only run in vulkan mode with no cuda version specified. gpu 1 can run on vulkan with cuda version 12 specified but i can also run without vulkan. i can run 2 instances of ollama with different settings. i tried cuda 11. i tried multiple driver versions and cuda versions. i also tried multiple ollama versions. ive seen posts of people running 1 gpu only in the m60 testla gpu. i also tried snapd and docker with no luck. memtest_vulkan runs fine on both gpus. any suggestions. thanks. ### Relevant log output ```shell CUDA error: an illegal memory access was encountered current device: 0, in function ggml_backend_cuda_synchronize at /ml/backend/ggml/ggml/src/ggml-cuda/ggml-cuda.cu:2981 cudaStreamSynchronize(cuda_ctx->stream()) ``` ### OS Linux ### GPU Nvidia ### CPU Intel ### Ollama version 0.18.3
GiteaMirror added the bug label 2026-04-22 19:56:35 -05:00
GiteaMirror commented 2026-04-22 19:56:36 -05:00
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@Profex86 commented on GitHub (Mar 29, 2026):

One of the two M60 dies is still in Graphics‑Only mode or in a “vGPU‑locked” profile. both "GPUs" must be run in Compute mode, GOM = 0.

GPU 0
nvidia-smi -q -i 0

GPU 1
nvidia-smi -q -i 1

Mismatch?

0 = Compute, 1 = Graphics
sudo nvidia-smi -i 0 -gom 0
sudo nvidia-smi -i 1 -gom 0

Check
nvidia-smi -q -i 0 | grep GOM
nvidia-smi -i

vGPU Profile ?
sudo nvidia-smi -i 0 -vgpu-unload

BAR size the same?
e.g
128 MiB <-- GPU 0
256 MiB <-- GPU 1

Different cap. report?

deviceQuery -device=0
deviceQuery -device=1

reset
sudo nvidia-smi --gpu-reset -i 0
sudo nvidia-smi --gpu-reset -i 1

<!-- gh-comment-id:4150564813 --> @Profex86 commented on GitHub (Mar 29, 2026): One of the two M60 dies is still in Graphics‑Only mode or in a “vGPU‑locked” profile. both "GPUs" must be run in Compute mode, GOM = 0. GPU 0 nvidia-smi -q -i 0 GPU 1 nvidia-smi -q -i 1 Mismatch? 0 = Compute, 1 = Graphics sudo nvidia-smi -i 0 -gom 0 sudo nvidia-smi -i 1 -gom 0 Check nvidia-smi -q -i 0 | grep GOM nvidia-smi -i vGPU Profile ? sudo nvidia-smi -i 0 -vgpu-unload BAR size the same? e.g 128 MiB <-- GPU 0 256 MiB <-- GPU 1 Different cap. report? deviceQuery -device=0 deviceQuery -device=1 reset sudo nvidia-smi --gpu-reset -i 0 sudo nvidia-smi --gpu-reset -i 1
GiteaMirror commented 2026-04-22 19:56:36 -05:00
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@jcharth commented on GitHub (Mar 29, 2026):

thanks gom does not work with mine. i tried reset gpu 0 and it froze.
i had tried using sudo nvidia-smi -g 0 --compute-mode=3 and
sudo nvidia-smi -g 0 --compute-mode=0

here is the output. may be it is helpful

nvidia-smi -q -i 1

==============NVSMI LOG==============

Timestamp : Sun Mar 29 13:37:12 2026
Driver Version : 560.35.05
CUDA Version : 12.6

Attached GPUs : 2
GPU 00000000:04:00.0
Product Name : Tesla M60
Product Brand : Tesla
Product Architecture : Maxwell
Display Mode : Disabled
Display Active : Disabled
Persistence Mode : Enabled
Addressing Mode : N/A
MIG Mode
Current : N/A
Pending : N/A
Accounting Mode : Disabled
Accounting Mode Buffer Size : 4000
Driver Model
Current : N/A
Pending : N/A
Serial Number : 0325017235045
GPU UUID : GPU-5e87152d-a86a-372d-af09-41191a29f8a1
Minor Number : 1
VBIOS Version : 84.04.9F.00.14
MultiGPU Board : Yes
Board ID : 0x100
Board Part Number : 900-2G402-0310-030
GPU Part Number : 13F2-895-A1
FRU Part Number : N/A
Module ID : 1
Inforom Version
Image Version : G402.0060.00.04
OEM Object : 1.1
ECC Object : 3.0
Power Management Object : N/A
Inforom BBX Object Flush
Latest Timestamp : N/A
Latest Duration : N/A
GPU Operation Mode
Current : N/A
Pending : N/A
GPU C2C Mode : N/A
GPU Virtualization Mode
Virtualization Mode : None
Host VGPU Mode : N/A
vGPU Heterogeneous Mode : N/A
GPU Reset Status
Reset Required : N/A
Drain and Reset Recommended : N/A
GSP Firmware Version : N/A
IBMNPU
Relaxed Ordering Mode : N/A
PCI
Bus : 0x04
Device : 0x00
Domain : 0x0000
Base Classcode : 0x3
Sub Classcode : 0x0
Device Id : 0x13F210DE
Bus Id : 00000000:04:00.0
Sub System Id : 0x115E10DE
GPU Link Info
PCIe Generation
Max : 3
Current : 1
Device Current : 1
Device Max : 3
Host Max : 3
Link Width
Max : 16x
Current : 16x
Bridge Chip
Type : N/A
Firmware : N/A
Replays Since Reset : 0
Replay Number Rollovers : 0
Tx Throughput : 0 KB/s
Rx Throughput : 0 KB/s
Atomic Caps Outbound : N/A
Atomic Caps Inbound : N/A
Fan Speed : N/A
Performance State : P8
Clocks Event Reasons
Idle : Active
Applications Clocks Setting : Not Active
SW Power Cap : Not Active
HW Slowdown : Not Active
HW Thermal Slowdown : N/A
HW Power Brake Slowdown : N/A
Sync Boost : Not Active
SW Thermal Slowdown : Not Active
Display Clock Setting : Not Active
Sparse Operation Mode : N/A
FB Memory Usage
Total : 8192 MiB
Reserved : 76 MiB
Used : 0 MiB
Free : 8117 MiB
BAR1 Memory Usage
Total : 256 MiB
Used : 2 MiB
Free : 254 MiB
Conf Compute Protected Memory Usage
Total : 0 MiB
Used : 0 MiB
Free : 0 MiB
Compute Mode : Default
Utilization
Gpu : 0 %
Memory : 0 %
Encoder : 0 %
Decoder : 0 %
JPEG : N/A
OFA : N/A
Encoder Stats
Active Sessions : 0
Average FPS : 0
Average Latency : 0
FBC Stats
Active Sessions : 0
Average FPS : 0
Average Latency : 0
ECC Mode
Current : Disabled
Pending : Disabled
ECC Errors
Volatile
Single Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
CBU : N/A
Total : N/A
Double Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
CBU : N/A
Total : N/A
Aggregate
Single Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
CBU : N/A
Total : N/A
Double Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
CBU : N/A
Total : N/A
Retired Pages
Single Bit ECC : 0
Double Bit ECC : 1
Pending Page Blacklist : No
Remapped Rows : N/A
Temperature
GPU Current Temp : 25 C
GPU T.Limit Temp : N/A
GPU Shutdown Temp : 91 C
GPU Slowdown Temp : 88 C
GPU Max Operating Temp : N/A
GPU Target Temperature : 85 C
Memory Current Temp : N/A
Memory Max Operating Temp : N/A
GPU Power Readings
Power Draw : 15.71 W
Current Power Limit : 150.00 W
Requested Power Limit : 150.00 W
Default Power Limit : 150.00 W
Min Power Limit : 112.50 W
Max Power Limit : 162.00 W
GPU Memory Power Readings
Power Draw : N/A
Module Power Readings
Power Draw : N/A
Current Power Limit : N/A
Requested Power Limit : N/A
Default Power Limit : N/A
Min Power Limit : N/A
Max Power Limit : N/A
Clocks
Graphics : 405 MHz
SM : 405 MHz
Memory : 324 MHz
Video : 405 MHz
Applications Clocks
Graphics : 557 MHz
Memory : 2505 MHz
Default Applications Clocks
Graphics : 557 MHz
Memory : 2505 MHz
Deferred Clocks
Memory : N/A
Max Clocks
Graphics : 1177 MHz
SM : 1177 MHz
Memory : 2505 MHz
Video : 1083 MHz
Max Customer Boost Clocks
Graphics : N/A
Clock Policy
Auto Boost : On
Auto Boost Default : On
Voltage
Graphics : N/A
Fabric
State : N/A
Status : N/A
CliqueId : N/A
ClusterUUID : N/A
Health
Bandwidth : N/A
Processes : None
Capabilities
EGM : disabled

<!-- gh-comment-id:4150682717 --> @jcharth commented on GitHub (Mar 29, 2026): thanks gom does not work with mine. i tried reset gpu 0 and it froze. i had tried using sudo nvidia-smi -g 0 --compute-mode=3 and sudo nvidia-smi -g 0 --compute-mode=0 here is the output. may be it is helpful nvidia-smi -q -i 1 ==============NVSMI LOG============== Timestamp : Sun Mar 29 13:37:12 2026 Driver Version : 560.35.05 CUDA Version : 12.6 Attached GPUs : 2 GPU 00000000:04:00.0 Product Name : Tesla M60 Product Brand : Tesla Product Architecture : Maxwell Display Mode : Disabled Display Active : Disabled Persistence Mode : Enabled Addressing Mode : N/A MIG Mode Current : N/A Pending : N/A Accounting Mode : Disabled Accounting Mode Buffer Size : 4000 Driver Model Current : N/A Pending : N/A Serial Number : 0325017235045 GPU UUID : GPU-5e87152d-a86a-372d-af09-41191a29f8a1 Minor Number : 1 VBIOS Version : 84.04.9F.00.14 MultiGPU Board : Yes Board ID : 0x100 Board Part Number : 900-2G402-0310-030 GPU Part Number : 13F2-895-A1 FRU Part Number : N/A Module ID : 1 Inforom Version Image Version : G402.0060.00.04 OEM Object : 1.1 ECC Object : 3.0 Power Management Object : N/A Inforom BBX Object Flush Latest Timestamp : N/A Latest Duration : N/A GPU Operation Mode Current : N/A Pending : N/A GPU C2C Mode : N/A GPU Virtualization Mode Virtualization Mode : None Host VGPU Mode : N/A vGPU Heterogeneous Mode : N/A GPU Reset Status Reset Required : N/A Drain and Reset Recommended : N/A GSP Firmware Version : N/A IBMNPU Relaxed Ordering Mode : N/A PCI Bus : 0x04 Device : 0x00 Domain : 0x0000 Base Classcode : 0x3 Sub Classcode : 0x0 Device Id : 0x13F210DE Bus Id : 00000000:04:00.0 Sub System Id : 0x115E10DE GPU Link Info PCIe Generation Max : 3 Current : 1 Device Current : 1 Device Max : 3 Host Max : 3 Link Width Max : 16x Current : 16x Bridge Chip Type : N/A Firmware : N/A Replays Since Reset : 0 Replay Number Rollovers : 0 Tx Throughput : 0 KB/s Rx Throughput : 0 KB/s Atomic Caps Outbound : N/A Atomic Caps Inbound : N/A Fan Speed : N/A Performance State : P8 Clocks Event Reasons Idle : Active Applications Clocks Setting : Not Active SW Power Cap : Not Active HW Slowdown : Not Active HW Thermal Slowdown : N/A HW Power Brake Slowdown : N/A Sync Boost : Not Active SW Thermal Slowdown : Not Active Display Clock Setting : Not Active Sparse Operation Mode : N/A FB Memory Usage Total : 8192 MiB Reserved : 76 MiB Used : 0 MiB Free : 8117 MiB BAR1 Memory Usage Total : 256 MiB Used : 2 MiB Free : 254 MiB Conf Compute Protected Memory Usage Total : 0 MiB Used : 0 MiB Free : 0 MiB Compute Mode : Default Utilization Gpu : 0 % Memory : 0 % Encoder : 0 % Decoder : 0 % JPEG : N/A OFA : N/A Encoder Stats Active Sessions : 0 Average FPS : 0 Average Latency : 0 FBC Stats Active Sessions : 0 Average FPS : 0 Average Latency : 0 ECC Mode Current : Disabled Pending : Disabled ECC Errors Volatile Single Bit Device Memory : N/A Register File : N/A L1 Cache : N/A L2 Cache : N/A Texture Memory : N/A Texture Shared : N/A CBU : N/A Total : N/A Double Bit Device Memory : N/A Register File : N/A L1 Cache : N/A L2 Cache : N/A Texture Memory : N/A Texture Shared : N/A CBU : N/A Total : N/A Aggregate Single Bit Device Memory : N/A Register File : N/A L1 Cache : N/A L2 Cache : N/A Texture Memory : N/A Texture Shared : N/A CBU : N/A Total : N/A Double Bit Device Memory : N/A Register File : N/A L1 Cache : N/A L2 Cache : N/A Texture Memory : N/A Texture Shared : N/A CBU : N/A Total : N/A Retired Pages Single Bit ECC : 0 Double Bit ECC : 1 Pending Page Blacklist : No Remapped Rows : N/A Temperature GPU Current Temp : 25 C GPU T.Limit Temp : N/A GPU Shutdown Temp : 91 C GPU Slowdown Temp : 88 C GPU Max Operating Temp : N/A GPU Target Temperature : 85 C Memory Current Temp : N/A Memory Max Operating Temp : N/A GPU Power Readings Power Draw : 15.71 W Current Power Limit : 150.00 W Requested Power Limit : 150.00 W Default Power Limit : 150.00 W Min Power Limit : 112.50 W Max Power Limit : 162.00 W GPU Memory Power Readings Power Draw : N/A Module Power Readings Power Draw : N/A Current Power Limit : N/A Requested Power Limit : N/A Default Power Limit : N/A Min Power Limit : N/A Max Power Limit : N/A Clocks Graphics : 405 MHz SM : 405 MHz Memory : 324 MHz Video : 405 MHz Applications Clocks Graphics : 557 MHz Memory : 2505 MHz Default Applications Clocks Graphics : 557 MHz Memory : 2505 MHz Deferred Clocks Memory : N/A Max Clocks Graphics : 1177 MHz SM : 1177 MHz Memory : 2505 MHz Video : 1083 MHz Max Customer Boost Clocks Graphics : N/A Clock Policy Auto Boost : On Auto Boost Default : On Voltage Graphics : N/A Fabric State : N/A Status : N/A CliqueId : N/A ClusterUUID : N/A Health Bandwidth : N/A Processes : None Capabilities EGM : disabled
GiteaMirror commented 2026-04-22 19:56:37 -05:00
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@jcharth commented on GitHub (Mar 29, 2026):

i just tried

sudo nvidia-smi -i 0 -c EXCLUSIVE_PROCESS
sudo nvidia-smi -i 1 -c EXCLUSIVE_PROCESS

but same result.

<!-- gh-comment-id:4150892290 --> @jcharth commented on GitHub (Mar 29, 2026): i just tried sudo nvidia-smi -i 0 -c EXCLUSIVE_PROCESS sudo nvidia-smi -i 1 -c EXCLUSIVE_PROCESS but same result.
GiteaMirror commented 2026-04-22 19:56:37 -05:00
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@Profex86 commented on GitHub (Mar 29, 2026):

check_m60.sh, make it executable
(chmod +x check_m60.sh) and run it. It prints the fields we care about for
both devices in a compact form.

``
#!/bin/bash
for i in 0 1; do
echo "=== GPU $i ==="
nvidia-smi -q -i $i | awk '
/GOM/ {print "GOM:", $3}
/vGPU/ && !/Profile/ {print "vGPU:", $2}
/vGPU Profile/ {print "vGPU Profile:", $3}
/Total/ && /BAR1/ {print "BAR1 Total:", $3, $4}
/ECC Mode/ {print "ECC:", $3}
/Perf State/ {print "PerfState:", $3}
/Supported CUDA Version/ {print "CUDAver:", $4}
/Graphics Clock/ {print "GraphicsClk:", $3, $4}
/SM Clock/ {print "SMClk:", $3, $4}
/Memory Clock/ {print "MemClk:", $3, $4}
/UUID/ {print "UUID:", $2}
/Bus Id/ {print "BusId:", $3}
'
echo
done

``

<!-- gh-comment-id:4151068803 --> @Profex86 commented on GitHub (Mar 29, 2026): check_m60.sh, make it executable (chmod +x check_m60.sh) and run it. It prints the fields we care about for both devices in a compact form. `` #!/bin/bash for i in 0 1; do echo "=== GPU $i ===" nvidia-smi -q -i $i | awk ' /GOM/ {print "GOM:", $3} /vGPU/ && !/Profile/ {print "vGPU:", $2} /vGPU Profile/ {print "vGPU Profile:", $3} /Total/ && /BAR1/ {print "BAR1 Total:", $3, $4} /ECC Mode/ {print "ECC:", $3} /Perf State/ {print "PerfState:", $3} /Supported CUDA Version/ {print "CUDAver:", $4} /Graphics Clock/ {print "GraphicsClk:", $3, $4} /SM Clock/ {print "SMClk:", $3, $4} /Memory Clock/ {print "MemClk:", $3, $4} /UUID/ {print "UUID:", $2} /Bus Id/ {print "BusId:", $3} ' echo done ``
GiteaMirror commented 2026-04-22 19:56:38 -05:00
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@Profex86 commented on GitHub (Mar 29, 2026):

i see
Single Bit ECC : 0
Double Bit ECC: 1 <----- not great... trying to identify the issue, but no need to panic. I believe this isn’t a hardware fault. I think it’s a routing problem, concurrency, or similar issues, maybe the BIOS handles it as two dedicated GPUs and the other stuff.

<!-- gh-comment-id:4151098673 --> @Profex86 commented on GitHub (Mar 29, 2026): i see Single Bit ECC : 0 Double Bit ECC: 1 <----- not great... trying to identify the issue, but no need to panic. I believe this isn’t a hardware fault. I think it’s a routing problem, concurrency, or similar issues, maybe the BIOS handles it as two dedicated GPUs and the other stuff.
GiteaMirror commented 2026-04-22 19:56:38 -05:00
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@jcharth commented on GitHub (Mar 29, 2026):

memcheck_vulkan works fine on both gpus. does the cuda and driver version look ok? i

Driver Version : 560.35.05
CUDA Version : 12.6

i got this from check m60. it is a 2012 7010 motherboard with i7 3770 gpu. ive been thinking about buying a MSI Z77A-G45 ATX LGA 1155 DDR3 motherboad to get a better bios.

=== GPU 0 ===
UUID: UUID
vGPU: Heterogeneous
BusId: :
ECC:
UUID: :

=== GPU 1 ===
UUID: UUID
vGPU: Heterogeneous
BusId: :
ECC:
UUID: :

<!-- gh-comment-id:4151242414 --> @jcharth commented on GitHub (Mar 29, 2026): memcheck_vulkan works fine on both gpus. does the cuda and driver version look ok? i Driver Version : 560.35.05 CUDA Version : 12.6 i got this from check m60. it is a 2012 7010 motherboard with i7 3770 gpu. ive been thinking about buying a MSI Z77A-G45 ATX LGA 1155 DDR3 motherboad to get a better bios. === GPU 0 === UUID: UUID vGPU: Heterogeneous BusId: : ECC: UUID: : === GPU 1 === UUID: UUID vGPU: Heterogeneous BusId: : ECC: UUID: :
GiteaMirror commented 2026-04-22 19:56:38 -05:00
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@jcharth commented on GitHub (Mar 30, 2026):

i was able to download and compile cuda_memtest. seems to work with both cpus. may be i simply need to compile ollama from source
./cuda_memtest --device 0
[03/30/2026 17:01:38][debiandell][0]:Running cuda memtest, version 1.2.3
[03/30/2026 17:01:38][debiandell][0]:NVRM version: NVIDIA UNIX x86_64 Kernel Module 560.35.05 Wed Oct 30 01:43:57 UTC 2024
[03/30/2026 17:01:38][debiandell][0]:num_gpus=1
[03/30/2026 17:01:38][debiandell][0]:Device name=Tesla M60, global memory size=8510898176, serial=0325017235045
[03/30/2026 17:01:39][debiandell][0]:Attached to device 0 successfully.
[03/30/2026 17:01:39][debiandell][0]:Allocated 8043 MB
[03/30/2026 17:01:39][debiandell][0]:Test0 [Walking 1 bit]
[03/30/2026 17:01:43][debiandell][0]:Test0 finished in 4.2 seconds
[03/30/2026 17:01:43][debiandell][0]:Test1 [Own address test]
[03/30/2026 17:01:45][debiandell][0]:Test1 finished in 2.4 seconds
[03/30/2026 17:01:45][debiandell][0]:Test2 [Moving inversions, ones&zeros]
[03/30/2026 17:02:01][debiandell][0]:Test2 finished in 16.3 seconds
[03/30/2026 17:02:01][debiandell][0]:Test3 [Moving inversions, 8 bit pat]
^C
john@debiandell:~/test/cuda_memtest/build$ ./cuda_memtest --device 1
[03/30/2026 17:02:15][debiandell][0]:Running cuda memtest, version 1.2.3
[03/30/2026 17:02:15][debiandell][0]:NVRM version: NVIDIA UNIX x86_64 Kernel Module 560.35.05 Wed Oct 30 01:43:57 UTC 2024
[03/30/2026 17:02:15][debiandell][0]:num_gpus=1
[03/30/2026 17:02:15][debiandell][1]:Device name=Tesla M60, global memory size=8510898176, serial=0325017235045
[03/30/2026 17:02:15][debiandell][1]:Attached to device 1 successfully.
[03/30/2026 17:02:15][debiandell][1]:Allocated 8043 MB
[03/30/2026 17:02:15][debiandell][1]:Test0 [Walking 1 bit]
[03/30/2026 17:02:19][debiandell][1]:Test0 finished in 4.1 seconds
[03/30/2026 17:02:19][debiandell][1]:Test1 [Own address test]
[03/30/2026 17:02:22][debiandell][1]:Test1 finished in 2.4 seconds
[03/30/2026 17:02:22][debiandell][1]:Test2 [Moving inversions, ones&zeros]
[03/30/2026 17:02:38][debiandell][1]:Test2 finished in 16.3 seconds
[03/30/2026 17:02:38][debiandell][1]:Test3 [Moving inversions, 8 bit pat]
[03/30/2026 17:02:54][debiandell][1]:Test3 finished in 16.3 seconds
[03/30/2026 17:02:54][debiandell][1]:Test4 [Moving inversions, random pattern]
^C

<!-- gh-comment-id:4158184532 --> @jcharth commented on GitHub (Mar 30, 2026): i was able to download and compile cuda_memtest. seems to work with both cpus. may be i simply need to compile ollama from source ./cuda_memtest --device 0 [03/30/2026 17:01:38][debiandell][0]:Running cuda memtest, version 1.2.3 [03/30/2026 17:01:38][debiandell][0]:NVRM version: NVIDIA UNIX x86_64 Kernel Module 560.35.05 Wed Oct 30 01:43:57 UTC 2024 [03/30/2026 17:01:38][debiandell][0]:num_gpus=1 [03/30/2026 17:01:38][debiandell][0]:Device name=Tesla M60, global memory size=8510898176, serial=0325017235045 [03/30/2026 17:01:39][debiandell][0]:Attached to device 0 successfully. [03/30/2026 17:01:39][debiandell][0]:Allocated 8043 MB [03/30/2026 17:01:39][debiandell][0]:Test0 [Walking 1 bit] [03/30/2026 17:01:43][debiandell][0]:Test0 finished in 4.2 seconds [03/30/2026 17:01:43][debiandell][0]:Test1 [Own address test] [03/30/2026 17:01:45][debiandell][0]:Test1 finished in 2.4 seconds [03/30/2026 17:01:45][debiandell][0]:Test2 [Moving inversions, ones&zeros] [03/30/2026 17:02:01][debiandell][0]:Test2 finished in 16.3 seconds [03/30/2026 17:02:01][debiandell][0]:Test3 [Moving inversions, 8 bit pat] ^C john@debiandell:~/test/cuda_memtest/build$ ./cuda_memtest --device 1 [03/30/2026 17:02:15][debiandell][0]:Running cuda memtest, version 1.2.3 [03/30/2026 17:02:15][debiandell][0]:NVRM version: NVIDIA UNIX x86_64 Kernel Module 560.35.05 Wed Oct 30 01:43:57 UTC 2024 [03/30/2026 17:02:15][debiandell][0]:num_gpus=1 [03/30/2026 17:02:15][debiandell][1]:Device name=Tesla M60, global memory size=8510898176, serial=0325017235045 [03/30/2026 17:02:15][debiandell][1]:Attached to device 1 successfully. [03/30/2026 17:02:15][debiandell][1]:Allocated 8043 MB [03/30/2026 17:02:15][debiandell][1]:Test0 [Walking 1 bit] [03/30/2026 17:02:19][debiandell][1]:Test0 finished in 4.1 seconds [03/30/2026 17:02:19][debiandell][1]:Test1 [Own address test] [03/30/2026 17:02:22][debiandell][1]:Test1 finished in 2.4 seconds [03/30/2026 17:02:22][debiandell][1]:Test2 [Moving inversions, ones&zeros] [03/30/2026 17:02:38][debiandell][1]:Test2 finished in 16.3 seconds [03/30/2026 17:02:38][debiandell][1]:Test3 [Moving inversions, 8 bit pat] [03/30/2026 17:02:54][debiandell][1]:Test3 finished in 16.3 seconds [03/30/2026 17:02:54][debiandell][1]:Test4 [Moving inversions, random pattern] ^C
GiteaMirror commented 2026-04-22 19:56:39 -05:00
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@PureBlissAK commented on GitHub (Apr 18, 2026):

🤖 Automated Triage & Analysis Report

Issue: #15131
Analyzed: 2026-04-18T18:23:02.996773

Analysis

  • Type: unknown
  • Severity: medium
  • Components: unknown

Implementation Plan

  • Effort: medium
  • Steps:

This issue has been triaged and marked for implementation.

<!-- gh-comment-id:4274311155 --> @PureBlissAK commented on GitHub (Apr 18, 2026): <!-- ollama-issue-orchestrator:v1 issue:15131 --> ## 🤖 Automated Triage & Analysis Report **Issue**: #15131 **Analyzed**: 2026-04-18T18:23:02.996773 ### Analysis - **Type**: unknown - **Severity**: medium - **Components**: unknown ### Implementation Plan - **Effort**: medium - **Steps**: *This issue has been triaged and marked for implementation.*
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