Re: GPU Users -- Deprecation of GPU_RESOURCES capability
I've added JIRAs to: 1) Add master flag `--filter-gpu-resources={true|false}` https://issues.apache.org/jira/browse/MESOS-7576 2) Deprecate GPU_RESOURCES capability and master flag `--filter-gpu-resources={true|false}` https://issues.apache.org/jira/browse/MESOS-7579 3) Remove GPU_RESOURCES capability and master flag `--filter-gpu-resources={true|false}` https://issues.apache.org/jira/browse/MESOS-7577 Kevin On Fri, May 26, 2017 at 1:49 PM Benjamin Mahlerwrote: > I filed https://issues.apache.org/jira/browse/MESOS-7574 for reservations > to multiple roles. We'll find one that captures the deprecation of the > GPU_RESOURCES capability as well, with reservations to multiple roles as a > blocker. > > On Fri, May 26, 2017 at 8:54 AM, Zhitao Li wrote: > > > Hi Benjamin, > > > > Thanks for getting back. Do you have an issue already filed for > > the "reservations to multiple roles" story, or is it folded under another > > JIRA story? > > > > > > > > On Fri, May 26, 2017 at 12:44 AM, Benjamin Mahler > > wrote: > > > > > Thanks for the feedback! > > > > > > There have been some discussions for allowing reservations to multiple > > > roles (or more generally, role expressions), which is essentially what > > > you've suggested Zhitao. (However, note that what is provided by the > GPU > > > capability filtering is not quite this, it's actually analogous to a > > > reservation for multiple schedulers, not roles). Reservations to > multiple > > > roles seems to be the right replacement for those who rely on the GPU > > > filtering behavior. > > > > > > Since we don't have reservations to multiple roles at this point, we > > > shouldn't deprecate the GPU_RESOURCES capability until this is in > place. > > > > > > With hierarchical roles, it's possible (although potentially clumsy) to > > > achieve roughly what is provided by the GPU filtering using sub-roles. > > > Since reservations made to a "gpu" role would be available to all of > the > > > descendant roles within tree, e.g. > > > "gpu/analytics", "gpu/forecasting/training", etc. This is equivalent > to a > > > restricted version of reservations to multiple roles, where the roles > are > > > restricted to the descendant roles. This can get clumsy because if > > > "eng/backend/image-processing" wants to get in on the reserved gpus, > the > > > user would have to place a related role underneath the "gpu" role, e.g. > > > "gpu/eng/backend/image-processing". > > > > > > > The exact reason you mentioned about the "clumsy" part would effectively > > prevent me of implementing this in our org even if it's already > available. > > > > > > > > > > For the addition of the filter, note that this flag would be a > temporary > > > measure that would be removed when the deprecation cycle of the > > capability > > > is complete. It would be good to independently consider the generalized > > > filtering idea you brought up. > > > > > > On Mon, May 22, 2017 at 9:15 AM, Zhitao Li > > wrote: > > > > > > > Hi Kevin, > > > > > > > > Thanks for engaging with the community on this. My 2 cents: > > > > > > > > 1. I feel that this capabilities has a particular useful semantic > which > > > is > > > > lacking in the current reservation system: reserving some scarce > > resource > > > > for a* dynamic list of multiple roles:* > > > > > > > > Right now, any reservation (static or dynamic) can only express the > > > > semantic of "reserving this resource for the given role R". However, > > in a > > > > complex cluster, it is possible that we have [R1, R2, ..., RN] which > > > wants > > > > to share the scarce resource among them but there is another set of > > roles > > > > which should never see the given resource. > > > > > > > > The new hierarchical role (and/or multi-role?) might be able to > > provide a > > > > better solution, but until that's widely available and adopted, the > > > > capabilities based hack is the only thing I know that can solve the > > > > problem. > > > > > > > > In fact, I think if we are going to wo with `--filter-gpu-resources` > > > path, > > > > I think we should make the filter more powerful (i.e, able to handle > > all > > > > known framework <-> resource/host constraints and more types of > scarce > > > > resources) instead of the piecewise patches on a specific use case. > > > > > > > > Happy to chat more on this topic. > > > > > > > > On Sat, May 20, 2017 at 6:45 PM, Kevin Klues > > wrote: > > > > > > > > > Hello GPU users, > > > > > > > > > > We are currently considering deprecating the requirement that > > > frameworks > > > > > register with the GPU _RESOURCES capability in order to receive > > offers > > > > that > > > > > contain GPUs. Going forward, we will recommend that users rely on > > > Mesos's > > > > > builtin `reservation` mechanism to achieve similar results. > > > > > > > > > > Before deprecating it, we wanted to get a sense
Re: GPU Users -- Deprecation of GPU_RESOURCES capability
I filed https://issues.apache.org/jira/browse/MESOS-7574 for reservations to multiple roles. We'll find one that captures the deprecation of the GPU_RESOURCES capability as well, with reservations to multiple roles as a blocker. On Fri, May 26, 2017 at 8:54 AM, Zhitao Liwrote: > Hi Benjamin, > > Thanks for getting back. Do you have an issue already filed for > the "reservations to multiple roles" story, or is it folded under another > JIRA story? > > > > On Fri, May 26, 2017 at 12:44 AM, Benjamin Mahler > wrote: > > > Thanks for the feedback! > > > > There have been some discussions for allowing reservations to multiple > > roles (or more generally, role expressions), which is essentially what > > you've suggested Zhitao. (However, note that what is provided by the GPU > > capability filtering is not quite this, it's actually analogous to a > > reservation for multiple schedulers, not roles). Reservations to multiple > > roles seems to be the right replacement for those who rely on the GPU > > filtering behavior. > > > > Since we don't have reservations to multiple roles at this point, we > > shouldn't deprecate the GPU_RESOURCES capability until this is in place. > > > > With hierarchical roles, it's possible (although potentially clumsy) to > > achieve roughly what is provided by the GPU filtering using sub-roles. > > Since reservations made to a "gpu" role would be available to all of the > > descendant roles within tree, e.g. > > "gpu/analytics", "gpu/forecasting/training", etc. This is equivalent to a > > restricted version of reservations to multiple roles, where the roles are > > restricted to the descendant roles. This can get clumsy because if > > "eng/backend/image-processing" wants to get in on the reserved gpus, the > > user would have to place a related role underneath the "gpu" role, e.g. > > "gpu/eng/backend/image-processing". > > > > The exact reason you mentioned about the "clumsy" part would effectively > prevent me of implementing this in our org even if it's already available. > > > > > > For the addition of the filter, note that this flag would be a temporary > > measure that would be removed when the deprecation cycle of the > capability > > is complete. It would be good to independently consider the generalized > > filtering idea you brought up. > > > > On Mon, May 22, 2017 at 9:15 AM, Zhitao Li > wrote: > > > > > Hi Kevin, > > > > > > Thanks for engaging with the community on this. My 2 cents: > > > > > > 1. I feel that this capabilities has a particular useful semantic which > > is > > > lacking in the current reservation system: reserving some scarce > resource > > > for a* dynamic list of multiple roles:* > > > > > > Right now, any reservation (static or dynamic) can only express the > > > semantic of "reserving this resource for the given role R". However, > in a > > > complex cluster, it is possible that we have [R1, R2, ..., RN] which > > wants > > > to share the scarce resource among them but there is another set of > roles > > > which should never see the given resource. > > > > > > The new hierarchical role (and/or multi-role?) might be able to > provide a > > > better solution, but until that's widely available and adopted, the > > > capabilities based hack is the only thing I know that can solve the > > > problem. > > > > > > In fact, I think if we are going to wo with `--filter-gpu-resources` > > path, > > > I think we should make the filter more powerful (i.e, able to handle > all > > > known framework <-> resource/host constraints and more types of scarce > > > resources) instead of the piecewise patches on a specific use case. > > > > > > Happy to chat more on this topic. > > > > > > On Sat, May 20, 2017 at 6:45 PM, Kevin Klues > wrote: > > > > > > > Hello GPU users, > > > > > > > > We are currently considering deprecating the requirement that > > frameworks > > > > register with the GPU _RESOURCES capability in order to receive > offers > > > that > > > > contain GPUs. Going forward, we will recommend that users rely on > > Mesos's > > > > builtin `reservation` mechanism to achieve similar results. > > > > > > > > Before deprecating it, we wanted to get a sense from the community if > > > > anyone is currently relying on this capability and would like to see > it > > > > persist. If not, we will begin deprecating it in the next Mesos > release > > > and > > > > completely remove it in Mesos 2.0. > > > > > > > > As background, the original motivation for this capability was to > keep > > > > “legacy” frameworks from inadvertently scheduling jobs that don’t > > require > > > > GPUs on GPU capable machines and thus starving out other frameworks > > that > > > > legitimately want to place GPU jobs on those machines. The assumption > > > here > > > > was that most machines in a cluster won't have GPUs installed on > them, > > so > > > > some mechanism was necessary to keep legacy
Re: GPU Users -- Deprecation of GPU_RESOURCES capability
Hi Benjamin, Thanks for getting back. Do you have an issue already filed for the "reservations to multiple roles" story, or is it folded under another JIRA story? On Fri, May 26, 2017 at 12:44 AM, Benjamin Mahlerwrote: > Thanks for the feedback! > > There have been some discussions for allowing reservations to multiple > roles (or more generally, role expressions), which is essentially what > you've suggested Zhitao. (However, note that what is provided by the GPU > capability filtering is not quite this, it's actually analogous to a > reservation for multiple schedulers, not roles). Reservations to multiple > roles seems to be the right replacement for those who rely on the GPU > filtering behavior. > > Since we don't have reservations to multiple roles at this point, we > shouldn't deprecate the GPU_RESOURCES capability until this is in place. > > With hierarchical roles, it's possible (although potentially clumsy) to > achieve roughly what is provided by the GPU filtering using sub-roles. > Since reservations made to a "gpu" role would be available to all of the > descendant roles within tree, e.g. > "gpu/analytics", "gpu/forecasting/training", etc. This is equivalent to a > restricted version of reservations to multiple roles, where the roles are > restricted to the descendant roles. This can get clumsy because if > "eng/backend/image-processing" wants to get in on the reserved gpus, the > user would have to place a related role underneath the "gpu" role, e.g. > "gpu/eng/backend/image-processing". > The exact reason you mentioned about the "clumsy" part would effectively prevent me of implementing this in our org even if it's already available. > > For the addition of the filter, note that this flag would be a temporary > measure that would be removed when the deprecation cycle of the capability > is complete. It would be good to independently consider the generalized > filtering idea you brought up. > > On Mon, May 22, 2017 at 9:15 AM, Zhitao Li wrote: > > > Hi Kevin, > > > > Thanks for engaging with the community on this. My 2 cents: > > > > 1. I feel that this capabilities has a particular useful semantic which > is > > lacking in the current reservation system: reserving some scarce resource > > for a* dynamic list of multiple roles:* > > > > Right now, any reservation (static or dynamic) can only express the > > semantic of "reserving this resource for the given role R". However, in a > > complex cluster, it is possible that we have [R1, R2, ..., RN] which > wants > > to share the scarce resource among them but there is another set of roles > > which should never see the given resource. > > > > The new hierarchical role (and/or multi-role?) might be able to provide a > > better solution, but until that's widely available and adopted, the > > capabilities based hack is the only thing I know that can solve the > > problem. > > > > In fact, I think if we are going to wo with `--filter-gpu-resources` > path, > > I think we should make the filter more powerful (i.e, able to handle all > > known framework <-> resource/host constraints and more types of scarce > > resources) instead of the piecewise patches on a specific use case. > > > > Happy to chat more on this topic. > > > > On Sat, May 20, 2017 at 6:45 PM, Kevin Klues wrote: > > > > > Hello GPU users, > > > > > > We are currently considering deprecating the requirement that > frameworks > > > register with the GPU _RESOURCES capability in order to receive offers > > that > > > contain GPUs. Going forward, we will recommend that users rely on > Mesos's > > > builtin `reservation` mechanism to achieve similar results. > > > > > > Before deprecating it, we wanted to get a sense from the community if > > > anyone is currently relying on this capability and would like to see it > > > persist. If not, we will begin deprecating it in the next Mesos release > > and > > > completely remove it in Mesos 2.0. > > > > > > As background, the original motivation for this capability was to keep > > > “legacy” frameworks from inadvertently scheduling jobs that don’t > require > > > GPUs on GPU capable machines and thus starving out other frameworks > that > > > legitimately want to place GPU jobs on those machines. The assumption > > here > > > was that most machines in a cluster won't have GPUs installed on them, > so > > > some mechanism was necessary to keep legacy frameworks from scheduling > > jobs > > > on those machines. In essence, it provided an implicit reservation of > GPU > > > machines for "GPU aware" frameworks, bypassing the traditional > > > `reservation` mechanism already built into Mesos. > > > > > > In such a setup, legacy frameworks would be free to schedule jobs on > > > non-GPU machines, and "GPU aware" frameworks would be free to schedule > > GPU > > > jobs GPU machines and other types of jobs on other machines (or mix and > > > match them however they please). > > > >
Re: GPU Users -- Deprecation of GPU_RESOURCES capability
Thanks for the feedback! There have been some discussions for allowing reservations to multiple roles (or more generally, role expressions), which is essentially what you've suggested Zhitao. (However, note that what is provided by the GPU capability filtering is not quite this, it's actually analogous to a reservation for multiple schedulers, not roles). Reservations to multiple roles seems to be the right replacement for those who rely on the GPU filtering behavior. Since we don't have reservations to multiple roles at this point, we shouldn't deprecate the GPU_RESOURCES capability until this is in place. With hierarchical roles, it's possible (although potentially clumsy) to achieve roughly what is provided by the GPU filtering using sub-roles. Since reservations made to a "gpu" role would be available to all of the descendant roles within tree, e.g. "gpu/analytics", "gpu/forecasting/training", etc. This is equivalent to a restricted version of reservations to multiple roles, where the roles are restricted to the descendant roles. This can get clumsy because if "eng/backend/image-processing" wants to get in on the reserved gpus, the user would have to place a related role underneath the "gpu" role, e.g. "gpu/eng/backend/image-processing". For the addition of the filter, note that this flag would be a temporary measure that would be removed when the deprecation cycle of the capability is complete. It would be good to independently consider the generalized filtering idea you brought up. On Mon, May 22, 2017 at 9:15 AM, Zhitao Liwrote: > Hi Kevin, > > Thanks for engaging with the community on this. My 2 cents: > > 1. I feel that this capabilities has a particular useful semantic which is > lacking in the current reservation system: reserving some scarce resource > for a* dynamic list of multiple roles:* > > Right now, any reservation (static or dynamic) can only express the > semantic of "reserving this resource for the given role R". However, in a > complex cluster, it is possible that we have [R1, R2, ..., RN] which wants > to share the scarce resource among them but there is another set of roles > which should never see the given resource. > > The new hierarchical role (and/or multi-role?) might be able to provide a > better solution, but until that's widely available and adopted, the > capabilities based hack is the only thing I know that can solve the > problem. > > In fact, I think if we are going to wo with `--filter-gpu-resources` path, > I think we should make the filter more powerful (i.e, able to handle all > known framework <-> resource/host constraints and more types of scarce > resources) instead of the piecewise patches on a specific use case. > > Happy to chat more on this topic. > > On Sat, May 20, 2017 at 6:45 PM, Kevin Klues wrote: > > > Hello GPU users, > > > > We are currently considering deprecating the requirement that frameworks > > register with the GPU _RESOURCES capability in order to receive offers > that > > contain GPUs. Going forward, we will recommend that users rely on Mesos's > > builtin `reservation` mechanism to achieve similar results. > > > > Before deprecating it, we wanted to get a sense from the community if > > anyone is currently relying on this capability and would like to see it > > persist. If not, we will begin deprecating it in the next Mesos release > and > > completely remove it in Mesos 2.0. > > > > As background, the original motivation for this capability was to keep > > “legacy” frameworks from inadvertently scheduling jobs that don’t require > > GPUs on GPU capable machines and thus starving out other frameworks that > > legitimately want to place GPU jobs on those machines. The assumption > here > > was that most machines in a cluster won't have GPUs installed on them, so > > some mechanism was necessary to keep legacy frameworks from scheduling > jobs > > on those machines. In essence, it provided an implicit reservation of GPU > > machines for "GPU aware" frameworks, bypassing the traditional > > `reservation` mechanism already built into Mesos. > > > > In such a setup, legacy frameworks would be free to schedule jobs on > > non-GPU machines, and "GPU aware" frameworks would be free to schedule > GPU > > jobs GPU machines and other types of jobs on other machines (or mix and > > match them however they please). > > > > However, the problem comes when *all* machines in a cluster contain GPUs > > (or even if most of the machines in a cluster container them). When this > is > > the case, we have the opposite problem we were trying to solve by > > introducing the GPU_RESOURCES capability in the first place. We end up > > starving out jobs from legacy frameworks that *don’t* require GPU > resources > > because there are not enough machines available that don’t have GPUs on > > them to service those jobs. We've actually seen this problem manifest in > > the wild at least once. > > > > An alternative to
Re: GPU Users -- Deprecation of GPU_RESOURCES capability
Hi Kevin, Thanks for engaging with the community on this. My 2 cents: 1. I feel that this capabilities has a particular useful semantic which is lacking in the current reservation system: reserving some scarce resource for a* dynamic list of multiple roles:* Right now, any reservation (static or dynamic) can only express the semantic of "reserving this resource for the given role R". However, in a complex cluster, it is possible that we have [R1, R2, ..., RN] which wants to share the scarce resource among them but there is another set of roles which should never see the given resource. The new hierarchical role (and/or multi-role?) might be able to provide a better solution, but until that's widely available and adopted, the capabilities based hack is the only thing I know that can solve the problem. In fact, I think if we are going to wo with `--filter-gpu-resources` path, I think we should make the filter more powerful (i.e, able to handle all known framework <-> resource/host constraints and more types of scarce resources) instead of the piecewise patches on a specific use case. Happy to chat more on this topic. On Sat, May 20, 2017 at 6:45 PM, Kevin Klueswrote: > Hello GPU users, > > We are currently considering deprecating the requirement that frameworks > register with the GPU _RESOURCES capability in order to receive offers that > contain GPUs. Going forward, we will recommend that users rely on Mesos's > builtin `reservation` mechanism to achieve similar results. > > Before deprecating it, we wanted to get a sense from the community if > anyone is currently relying on this capability and would like to see it > persist. If not, we will begin deprecating it in the next Mesos release and > completely remove it in Mesos 2.0. > > As background, the original motivation for this capability was to keep > “legacy” frameworks from inadvertently scheduling jobs that don’t require > GPUs on GPU capable machines and thus starving out other frameworks that > legitimately want to place GPU jobs on those machines. The assumption here > was that most machines in a cluster won't have GPUs installed on them, so > some mechanism was necessary to keep legacy frameworks from scheduling jobs > on those machines. In essence, it provided an implicit reservation of GPU > machines for "GPU aware" frameworks, bypassing the traditional > `reservation` mechanism already built into Mesos. > > In such a setup, legacy frameworks would be free to schedule jobs on > non-GPU machines, and "GPU aware" frameworks would be free to schedule GPU > jobs GPU machines and other types of jobs on other machines (or mix and > match them however they please). > > However, the problem comes when *all* machines in a cluster contain GPUs > (or even if most of the machines in a cluster container them). When this is > the case, we have the opposite problem we were trying to solve by > introducing the GPU_RESOURCES capability in the first place. We end up > starving out jobs from legacy frameworks that *don’t* require GPU resources > because there are not enough machines available that don’t have GPUs on > them to service those jobs. We've actually seen this problem manifest in > the wild at least once. > > An alternative to completely deprecating the GPU_RESOURCES flag would be to > add a new flag to the mesos master called `--filter-gpu-resources`. When > set to `true`, this flag will cause the mesos master to continue to > function as it does today. That is, it would filter offers containing GPU > resources and only send them to frameworks that opt into the GPU_RESOURCES > framework capability. When set to `false`, this flag would cause the master > to *not* filter offers containing GPU resources, and indiscriminately send > them to all frameworks whether they set the GPU_RESOURCES capability or > not. > > , this flag would allow them to keep relying on it without disruption. > > We'd prefer to deprecate the capability completely, but would consider > adding this flag if people are currently relying on the GPU_RESOURCES > capability and would like to see it persist > > We welcome any feedback you have. > > Kevin + Ben > -- Cheers, Zhitao Li
Re: GPU Users -- Deprecation of GPU_RESOURCES capability
On 05/21/2017 03:45 AM, Kevin Klues wrote: > Hello GPU users, > > We are currently considering deprecating the requirement that frameworks > register with the GPU _RESOURCES capability in order to receive offers that > contain GPUs. Going forward, we will recommend that users rely on Mesos's > builtin `reservation` mechanism to achieve similar results. > > Before deprecating it, we wanted to get a sense from the community if > anyone is currently relying on this capability and would like to see it > persist. If not, we will begin deprecating it in the next Mesos release and > completely remove it in Mesos 2.0. Well, I am using it for GoDocker framework where jos can specify to sue (or not) some GPUs. > > As background, the original motivation for this capability was to keep > “legacy” frameworks from inadvertently scheduling jobs that don’t require > GPUs on GPU capable machines and thus starving out other frameworks that > legitimately want to place GPU jobs on those machines. The assumption here > was that most machines in a cluster won't have GPUs installed on them, so > some mechanism was necessary to keep legacy frameworks from scheduling jobs > on those machines. In essence, it provided an implicit reservation of GPU > machines for "GPU aware" frameworks, bypassing the traditional > `reservation` mechanism already built into Mesos. > > In such a setup, legacy frameworks would be free to schedule jobs on > non-GPU machines, and "GPU aware" frameworks would be free to schedule GPU > jobs GPU machines and other types of jobs on other machines (or mix and > match them however they please). > > However, the problem comes when *all* machines in a cluster contain GPUs > (or even if most of the machines in a cluster container them). When this is > the case, we have the opposite problem we were trying to solve by > introducing the GPU_RESOURCES capability in the first place. We end up > starving out jobs from legacy frameworks that *don’t* require GPU resources > because there are not enough machines available that don’t have GPUs on > them to service those jobs. We've actually seen this problem manifest in > the wild at least once. > > An alternative to completely deprecating the GPU_RESOURCES flag would be to > add a new flag to the mesos master called `--filter-gpu-resources`. When > set to `true`, this flag will cause the mesos master to continue to > function as it does today. That is, it would filter offers containing GPU > resources and only send them to frameworks that opt into the GPU_RESOURCES > framework capability. When set to `false`, this flag would cause the master > to *not* filter offers containing GPU resources, and indiscriminately send > them to all frameworks whether they set the GPU_RESOURCES capability or not. > > , this flag would allow them to keep relying on it without disruption. > > We'd prefer to deprecate the capability completely, but would consider > adding this flag if people are currently relying on the GPU_RESOURCES > capability and would like to see it persist > > We welcome any feedback you have. > > Kevin + Ben > -- Olivier Sallou IRISA / University of Rennes 1 Campus de Beaulieu, 35000 RENNES - FRANCE Tel: 02.99.84.71.95 gpg key id: 4096R/326D8438 (keyring.debian.org) Key fingerprint = 5FB4 6F83 D3B9 5204 6335 D26D 78DC 68DB 326D 8438
GPU Users -- Deprecation of GPU_RESOURCES capability
Hello GPU users, We are currently considering deprecating the requirement that frameworks register with the GPU _RESOURCES capability in order to receive offers that contain GPUs. Going forward, we will recommend that users rely on Mesos's builtin `reservation` mechanism to achieve similar results. Before deprecating it, we wanted to get a sense from the community if anyone is currently relying on this capability and would like to see it persist. If not, we will begin deprecating it in the next Mesos release and completely remove it in Mesos 2.0. As background, the original motivation for this capability was to keep “legacy” frameworks from inadvertently scheduling jobs that don’t require GPUs on GPU capable machines and thus starving out other frameworks that legitimately want to place GPU jobs on those machines. The assumption here was that most machines in a cluster won't have GPUs installed on them, so some mechanism was necessary to keep legacy frameworks from scheduling jobs on those machines. In essence, it provided an implicit reservation of GPU machines for "GPU aware" frameworks, bypassing the traditional `reservation` mechanism already built into Mesos. In such a setup, legacy frameworks would be free to schedule jobs on non-GPU machines, and "GPU aware" frameworks would be free to schedule GPU jobs GPU machines and other types of jobs on other machines (or mix and match them however they please). However, the problem comes when *all* machines in a cluster contain GPUs (or even if most of the machines in a cluster container them). When this is the case, we have the opposite problem we were trying to solve by introducing the GPU_RESOURCES capability in the first place. We end up starving out jobs from legacy frameworks that *don’t* require GPU resources because there are not enough machines available that don’t have GPUs on them to service those jobs. We've actually seen this problem manifest in the wild at least once. An alternative to completely deprecating the GPU_RESOURCES flag would be to add a new flag to the mesos master called `--filter-gpu-resources`. When set to `true`, this flag will cause the mesos master to continue to function as it does today. That is, it would filter offers containing GPU resources and only send them to frameworks that opt into the GPU_RESOURCES framework capability. When set to `false`, this flag would cause the master to *not* filter offers containing GPU resources, and indiscriminately send them to all frameworks whether they set the GPU_RESOURCES capability or not. , this flag would allow them to keep relying on it without disruption. We'd prefer to deprecate the capability completely, but would consider adding this flag if people are currently relying on the GPU_RESOURCES capability and would like to see it persist We welcome any feedback you have. Kevin + Ben