**Subject: **
chutes-miner GPU Registration Fails on AWS g5.2xlarge (NVIDIA A10G) due to RT Core Mismatch
Problem Description:
When attempting to register an AWS EC2 g5.2xlarge instance (which uses the NVIDIA A10G GPU) to the chutes-miner public network via https://api.chutes.ai/..., the registration fails with a GPU parameter validation error.
Steps to Reproduce:
- Launch an AWS EC2 instance of type
g5.2xlarge.
- Install and run
chutes-miner on this instance.
- Attempt to register the GPU node.
Observed Behavior:
The API returns the following error:
{"detail":"GPU parameter validation error: Processor count 80 does not match expected 72 for a10"}The GPU information provided by GraVal on the instance is:
{"devices":[{"name":"NVIDIA A10G","uuid":"0f6a6111e308244516aef733a7591246","memory":23696375808,"processors":80,"clock_rate":1710000.0,"max_threads_per_processor":1024}]}Specifically, the processors count is reported as 80.
Expected Behavior:
The GPU node on the g5.2xlarge instance should successfully register with the chutes-miner network.
Analysis & Context:
My research indicates that the processors count in the GraVal response likely refers to the Ray Tracing (RT) Cores.
- The standard NVIDIA A10 GPU (referenced by the API's "expected 72") officially has 72 RT Cores.
- However, the NVIDIA A10G GPU, specifically used in AWS
g5 instances, officially has 80 RT Cores.
This discrepancy (80 reported by A10G vs. 72 expected for A10) appears to be the root cause of the validation failure. While both GPUs are based on the Ampere architecture and are largely similar, this specific core count differs.
Proposed Resolution / Question:
Could you please update the GPU parameter validation logic in chutes.ai to correctly identify and accept NVIDIA A10G GPUs with 80 RT Cores?
Are there any known architectural or performance side-effects for chutes-miner that would prevent adding support for the NVIDIA A10G alongside the A10, given this difference in RT core count?
**Subject: **
chutes-minerGPU Registration Fails on AWS g5.2xlarge (NVIDIA A10G) due to RT Core MismatchProblem Description:
When attempting to register an AWS EC2
g5.2xlargeinstance (which uses the NVIDIA A10G GPU) to thechutes-minerpublic network viahttps://api.chutes.ai/..., the registration fails with a GPU parameter validation error.Steps to Reproduce:
g5.2xlarge.chutes-mineron this instance.Observed Behavior:
The API returns the following error:
{"detail":"GPU parameter validation error: Processor count 80 does not match expected 72 for a10"}The GPU information provided by
GraValon the instance is:{"devices":[{"name":"NVIDIA A10G","uuid":"0f6a6111e308244516aef733a7591246","memory":23696375808,"processors":80,"clock_rate":1710000.0,"max_threads_per_processor":1024}]}Specifically, the
processorscount is reported as80.Expected Behavior:
The GPU node on the
g5.2xlargeinstance should successfully register with thechutes-minernetwork.Analysis & Context:
My research indicates that the
processorscount in theGraValresponse likely refers to the Ray Tracing (RT) Cores.g5instances, officially has 80 RT Cores.This discrepancy (80 reported by A10G vs. 72 expected for A10) appears to be the root cause of the validation failure. While both GPUs are based on the Ampere architecture and are largely similar, this specific core count differs.
Proposed Resolution / Question:
Could you please update the GPU parameter validation logic in
chutes.aito correctly identify and accept NVIDIA A10G GPUs with 80 RT Cores?Are there any known architectural or performance side-effects for
chutes-minerthat would prevent adding support for the NVIDIA A10G alongside the A10, given this difference in RT core count?