diff --git a/hpvm/docs/faqs.rst b/hpvm/docs/faqs.rst
index 9da1527061e07c8feaea6d02f70647682c1d47cd..eb8cb2a6f5bc850b3978907f0101d664f33fd0ac 100644
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@@ -1,3 +1,39 @@
 Frequently Asked Questions
 ==========================
 
+
+**Q1. Is Python3.6 a strict requirement for installation**?
+
+Yes, our HPVM python packages require python version = 3.6. If you don't have a Python3.6 on your system, we encourage using the provided `env.yaml` conda environment.
+
+**Q2. What to do when running into out of memory errors**?
+
+Users can configure the batch size through Keras/PyTorch frontends. Users are encouraged to reduce batch size when encountering out of memory errors.
+
+**Q3. Should I expect speedups with approximations on my hardware system**?
+
+The approximation implementations in HPVM are currently optimized for the Nvidia Tegra Tx2 edge device. The routines are not expected to provide speedups across other hardware devices - though systems with similar hardware specifications may exhibit similar performance. We are working on providing speedups across a wider range of devices.
+
+**Q4. How many autotuning iterations should I use with `predtuner` package in HPVM**?
+
+The number of tuning iterations required to achieve good results varies across benchmarks. Users must tune this on a per-benchmark basis. For the included 10 CNNs, we recommmend using atleast 10K iterations.
+
+**Q5. How can I extend HPVM to include new custom approximations**?
+
+Users can update the `hpvm-tensor-rt` in HPVM to include new custom approximations that are targeted by the compiler. 
+
+Alternatively developers can update the HPVM backends to compile to external libraries with support for custom approximations. The HPVM backends are documented in detail in [TODO : Add link to Backends Doc]
+
+The `predtuner` in HPVM is flexible to include more approximation knobs. [TODO: Yifan should add more details on how to add more knobs]
+
+**Q6. Does this release support combining HPVM tensor and non-tensor operations in a single program**?
+
+Currently we do not support tensor and non-tensor code in the same application. We will support this feature in the next release.
+
+**Q7. Does this release support object detection models?** 
+
+Currrently, HPVM doesn't support object detection models. Support will be added in future releases.
+
+
+
+