diff --git a/Dockerfile b/Dockerfile
index d7a46e06f..e232b9103 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,16 +1,5 @@
 # syntax=docker/dockerfile:1
-FROM coinor/cylp
-RUN ln -s /usr/bin/python3 /usr/bin/python && ln -s /usr/bin/pip3 /usr/bin/pip
-RUN --mount=type=cache,target=/root/.cache/pip pip3 install cvxpy ray numpy pandas tqdm matplotlib graphviz
-
-# # install CoinOR
-# ARG DEBIAN_FRONTEND="noninteractive"
-# ENV TZ="America/Los_Angeles"
-# RUN --mount=type=cache,target=/var/cache/apt apt update \
-#     && apt-get install --no-install-recommends -y git wget ca-certificates build-essential gcc g++ gfortran pkg-config libblas-dev liblapack-dev coinor-libcbc-dev libz-dev \
-#     && apt-get clean \
-#     && rm -rf /var/lib/apt/lists/*
-# RUN --mount=type=cache,target=/root/.cache/pip pip install numpy && pip install cylp
+FROM python:3.10-slim
 
 # increase number of open files and concurrent TCP connections
 RUN (echo 'net.ipv4.ip_local_port_range = 12000 65535' >> /etc/sysctl.conf) \
@@ -23,7 +12,7 @@ RUN (echo 'net.ipv4.ip_local_port_range = 12000 65535' >> /etc/sysctl.conf) \
 
 # install apt packages
 RUN --mount=type=cache,target=/var/cache/apt apt update \
-    && apt-get install --no-install-recommends -y git wget ca-certificates build-essential rsync graphviz \
+    && apt-get install --no-install-recommends -y git wget ca-certificates build-essential graphviz \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
 
diff --git a/README.md b/README.md
index d065ba9af..9424fa1a4 100644
--- a/README.md
+++ b/README.md
@@ -9,7 +9,7 @@ Skylark is composed of two components: A ReplicatorClient that runs locally on y
 This package represents both components as a single binary. Docker builds a single container with the GatewayDaemon and pushes it to the Github Container Registry (ghcr.io). After provisioning an instance, a GatewayDaemon is started by launching that container. Therefore, it's simple and fast to launch a new Gateway.
 
 ### Requirements
-* Python 3.8 or greater
+* Python 3.7 or greater
 * Docker
     * **Ensure you have authenticated your Github account with Docker**: https://docs.github.com/en/packages/working-with-a-github-packages-registry/working-with-the-container-registry#authenticating-to-the-container-registry
     * TLDR:
diff --git a/scripts/ray_cluster/README.md b/scripts/ray_cluster/README.md
deleted file mode 100644
index 346147cc8..000000000
--- a/scripts/ray_cluster/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
-## Ray Set-up Instructions
-
-- Make sure you update the latest docker image in the `config.yaml`
-- Make sure you have the AWS key-pair as defined in the `config.yaml`
-
-To launch the Ray Autoscaler cluster: `time ray up -y config.yaml`
-
-To attach to the head: `ray attach config.yaml`
-
-To run a python script `script.py`: `ray submit config.yaml script.py`
-
-To teardown the system: `ray down -y config.yaml`
diff --git a/scripts/ray_cluster/script.py b/scripts/ray_cluster/script.py
deleted file mode 100644
index 1a2751c5e..000000000
--- a/scripts/ray_cluster/script.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from collections import Counter
-import socket
-import time
-
-import ray
-
-ray.init(address="auto")
-
-print(
-    """This cluster consists of
-    {} nodes in total
-    {} CPU resources in total
-""".format(
-        len(ray.nodes()), ray.cluster_resources()["CPU"]
-    )
-)
-
-
-@ray.remote
-def f():
-    time.sleep(0.005)
-    # Return IP address.
-    return socket.gethostbyname(socket.gethostname())
-
-
-object_ids = [f.remote() for _ in range(10000)]
-ip_addresses = ray.get(object_ids)
-
-print("Tasks executed")
-for ip_address, num_tasks in Counter(ip_addresses).items():
-    print("    {} tasks on {}".format(num_tasks, ip_address))
diff --git a/setup.py b/setup.py
index 52f3f63c4..c8035a646 100644
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@
     name="skylark",
     version="0.1",
     packages=["skylark"],
-    python_requires=">=3.8",
+    python_requires=">=3.7",
     install_requires=[
         "awscrt",
         "azure-identity",
@@ -43,9 +43,9 @@
             "matplotlib",
             "pandas",
             "questionary",
-            "ray",
             "typer",
         ],
+        "experiments": ["ray"],
         "test": ["black", "ipython", "jupyter_console", "pytest", "pytype"],
     },
     entry_points={"console_scripts": ["skylark=skylark.cli.cli:app"]},
diff --git a/skylark/compute/gcp/gcp_server.py b/skylark/compute/gcp/gcp_server.py
index e90fbb782..36b4b7055 100644
--- a/skylark/compute/gcp/gcp_server.py
+++ b/skylark/compute/gcp/gcp_server.py
@@ -33,7 +33,7 @@ def __init__(
     def uuid(self):
         return f"{self.region_tag}:{self.gcp_instance_name}"
 
-    @lru_cache
+    @lru_cache(maxsize=1)
     def get_gcp_instance(self):
         instances = self.auth.get_gcp_instances(self.gcp_region)
         if "items" in instances:
diff --git a/skylark/compute/utils.py b/skylark/compute/utils.py
index 20b95083f..5c90490cb 100644
--- a/skylark/compute/utils.py
+++ b/skylark/compute/utils.py
@@ -3,7 +3,7 @@
 from skylark.utils import logger
 
 
-@lru_cache
+@lru_cache(maxsize=1)
 def query_which_cloud() -> str:
     if (
         subprocess.call(