# No available node types can fulfill resource request

**URL:** <https://discuss.ray.io/t/no-available-node-types-can-fulfill-resource-request/10096>\
**Category:** Ray Clusters\
**Created:** [April 6, 2023, 3:25am UTC](https://discuss.ray.io/t/no-available-node-types-can-fulfill-resource-request/10096 "2023-04-06T03:25:41Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![KavanaRao](https://avatars.discourse-cdn.com/v4/letter/k/e274bd/32.png) [@KavanaRao](https://discuss.ray.io/u/KavanaRao)\
**Post date:** [April 6, 2023, 3:25am UTC](https://discuss.ray.io/t/no-available-node-types-can-fulfill-resource-request/10096/1 "2023-04-06T03:25:41Z")

</div>

**How severe does this issue affect your experience of using Ray?**

- None: Just asking a question out of curiosity
- Low: It annoys or frustrates me for a moment.
- Medium: It contributes to significant difficulty to complete my task, but I can work around it.
- High: It blocks me to complete my task.

2023-04-05 03:03:03,344 INFO worker.py:1544 – Started a local Ray instance. View the dashboard at 127.0.0.1:8265  
2023-04-05 03:03:05,133 INFO algorithm\_config.py:2899 – Your framework setting is ‘tf’, meaning you are using static-graph mode. Set framework=‘tf2’ to enable eager execution with tf2.x. You may also then want to set eager\_tracing=True in order to reach similar execution speed as with static-graph mode.  
2023-04-05 03:03:05,134 INFO algorithm\_config.py:2899 – Your framework setting is ‘tf’, meaning you are using static-graph mode. Set framework=‘tf2’ to enable eager execution with tf2.x. You may also then want to set eager\_tracing=True in order to reach similar execution speed as with static-graph mode.  
(autoscaler +10s) Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY\_SCHEDULER\_EVENTS=0.  
(autoscaler +10s) Error: No available node types can fulfill resource request {‘GPU’: 1.0, ‘CPU’: 1.0}. Add suitable node types to this cluster to resolve this issue.  
== Status ==  
Current time: 2023-04-05 03:03:10 (running for 00:00:05.11)  
Memory usage on this node: 4.7/7.5 GiB  
Using FIFO scheduling algorithm.  
Resources requested: 0/4 CPUs, 0/0 GPUs, 0.0/1.98 GiB heap, 0.0/0.99 GiB objects  
Result logdir: /home/Labexam/ray\_results/train\_45nm\_ngspice  
Number of trials: 1/1 (1 PENDING)  
±----------------------------±---------±------+  
| Trial name | status | loc |  
|-----------------------------±---------±------|  
| PPO\_TwoStageAmp\_e98f0\_00000 | PENDING | |  
±----------------------------±---------±------+

 ![error2](https://us1.discourse-cdn.com/flex020/uploads/ray/original/2X/2/24894561d40278839615360adec977f5cbeba353.jpeg)