diff --git a/skynet/cli.py b/skynet/cli.py
index 0ead5d3..f835d98 100755
--- a/skynet/cli.py
+++ b/skynet/cli.py
@@ -193,14 +193,14 @@ def dgpu(
     config_path: str
 ):
     import trio
-    from .dgpu import open_dgpu_node
+    from .dgpu import _dgpu_main
 
     logging.basicConfig(level=loglevel)
 
     config = load_skynet_toml(file_path=config_path)
     set_hf_vars(config.dgpu.hf_token, config.dgpu.hf_home)
 
-    trio.run(open_dgpu_node, config.dgpu)
+    trio.run(_dgpu_main, config.dgpu)
 
 
 @run.command()
diff --git a/skynet/config.py b/skynet/config.py
index ca7b745..7625dab 100755
--- a/skynet/config.py
+++ b/skynet/config.py
@@ -26,6 +26,7 @@ class DgpuConfig(msgspec.Struct):
     backend: str = 'sync-on-thread'
     api_bind: str = False
     tui: bool = False
+    poll_time: float = 0.5
 
 class TelegramConfig(msgspec.Struct):
     account: str
diff --git a/skynet/dgpu/__init__.py b/skynet/dgpu/__init__.py
index 6f7c6f7..1c1f40c 100755
--- a/skynet/dgpu/__init__.py
+++ b/skynet/dgpu/__init__.py
@@ -3,23 +3,13 @@ import logging
 import trio
 import urwid
 
-from hypercorn.config import Config as HCConfig
-from hypercorn.trio import serve
-from quart_trio import QuartTrio as Quart
-
 from skynet.config import Config
 from skynet.dgpu.tui import init_tui
-from skynet.dgpu.daemon import WorkerDaemon
+from skynet.dgpu.daemon import serve_forever
 from skynet.dgpu.network import NetConnector
 
 
-async def open_dgpu_node(config: Config) -> None:
-    '''
-    Open a top level "GPU mgmt daemon", keep the
-    `WorkerDaemon._snap: dict[str, list|dict]` table
-    and *maybe* serve a `hypercorn` web API.
-
-    '''
+async def _dgpu_main(config: Config) -> None:
     # suppress logs from httpx (logs url + status after every query)
     logging.getLogger("httpx").setLevel(logging.WARNING)
 
@@ -28,29 +18,14 @@ async def open_dgpu_node(config: Config) -> None:
         tui = init_tui()
 
     conn = NetConnector(config)
-    daemon = WorkerDaemon(conn, config)
 
-    api: Quart|None = None
-    if config.api_bind:
-        api_conf = HCConfig()
-        api_conf.bind = [config.api_bind]
-        api: Quart = await daemon.generate_api()
+    try:
+        n: trio.Nursery
+        async with trio.open_nursery() as n:
+            if tui:
+                n.start_soon(tui.run)
 
-    tn: trio.Nursery
-    async with trio.open_nursery() as tn:
-        tn.start_soon(daemon.snap_updater_task)
-        if tui:
-            tn.start_soon(tui.run)
+            await serve_forever(config, conn)
 
-        # TODO, consider a more explicit `as hypercorn_serve`
-        # to clarify?
-        if api:
-            logging.info(f'serving api @ {config["api_bind"]}')
-            tn.start_soon(serve, api, api_conf)
-
-        try:
-            # block until cancelled
-            await daemon.serve_forever()
-
-        except *urwid.ExitMainLoop:
-            ...
+    except *urwid.ExitMainLoop:
+        ...
diff --git a/skynet/dgpu/compute.py b/skynet/dgpu/compute.py
index a027dc8..5e90791 100755
--- a/skynet/dgpu/compute.py
+++ b/skynet/dgpu/compute.py
@@ -20,6 +20,7 @@ from skynet.dgpu.errors import (
 
 from skynet.utils import crop_image, convert_from_cv2_to_image, convert_from_image_to_cv2, convert_from_img_to_bytes, init_upscaler, pipeline_for
 
+
 def prepare_params_for_diffuse(
     params: dict,
     mode: str,
diff --git a/skynet/dgpu/daemon.py b/skynet/dgpu/daemon.py
index 31c3d79..f3f8ef3 100755
--- a/skynet/dgpu/daemon.py
+++ b/skynet/dgpu/daemon.py
@@ -7,8 +7,6 @@ from functools import partial
 from hashlib import sha256
 
 import trio
-from quart import jsonify
-from quart_trio import QuartTrio as Quart
 
 from skynet.config import DgpuConfig as Config
 from skynet.constants import (
@@ -31,291 +29,175 @@ def convert_reward_to_int(reward_str):
     return int(int_part + decimal_part)
 
 
-class WorkerDaemon:
-    '''
-    The root "GPU daemon".
+async def maybe_update_tui_balance(conn: NetConnector):
+    async def _fn(tui):
+        # update balance
+        balance = await conn.get_worker_balance()
+        tui.set_header_text(new_balance=f'balance: {balance}')
 
-    Contains/manages underlying susystems:
-    - a GPU connecto
+    await maybe_update_tui_async(_fn)
 
-    '''
-    def __init__(
-        self,
-        conn: NetConnector,
-        config: Config
+
+async def maybe_serve_one(
+    config: Config,
+    conn: NetConnector,
+    req: dict,
+):
+    rid = req['id']
+    logging.info(f'maybe serve request #{rid}')
+
+    # parse request
+    body = json.loads(req['body'])
+    model = body['params']['model']
+
+    # if model not known, ignore.
+    if (
+        model != 'RealESRGAN_x4plus'
+        and
+        model not in MODELS
     ):
-        self.config = config
-        self.conn: NetConnector = conn
+        logging.warning(f'unknown model {model}!, skip...')
+        return
 
-        self._snap = {
-            'queue': [],
-            'requests': {},
-            'results': []
-        }
+    # only handle whitelisted models
+    if (
+        len(config.model_whitelist) > 0
+        and
+        model not in config.model_whitelist
+    ):
+        logging.warning('model not whitelisted!, skip...')
+        return
 
-        self._benchmark: list[float] = []
-        self._last_benchmark: list[float]|None = None
-        self._last_generation_ts: str|None = None
+    # if blacklist contains model skip
+    if (
+        len(config.model_blacklist) > 0
+        and
+        model in config.model_blacklist
+    ):
+        logging.warning('model not blacklisted!, skip...')
+        return
 
-    def _get_benchmark_speed(self) -> float:
-        '''
-        Return the (arithmetic) average work-iterations-per-second
-        fconducted by this compute worker.
+    results = [res['request_id'] for res in conn._tables['results']]
 
-        '''
-        if not self._last_benchmark:
-            return 0
+    # if worker already produced a result for this request
+    if rid in results:
+        logging.info(f'worker already submitted a result for request #{rid}, skip...')
+        return
 
-        start = self._last_benchmark[0]
-        end = self._last_benchmark[-1]
+    statuses = conn._tables['requests'][rid]
 
-        elapsed = end - start
-        its = len(self._last_benchmark)
-        speed = its / elapsed
+    # skip if workers in non_compete already on it
+    competitors = set((status['worker'] for status in statuses))
+    if bool(config.non_compete & competitors):
+        logging.info('worker in configured non_compete list already working on request, skip...')
+        return
 
-        logging.info(f'{elapsed} s total its: {its}, at {speed} it/s ')
+    # resolve the ipfs hashes into the actual data behind them
+    inputs = []
+    raw_inputs = req['binary_data'].split(',')
+    if raw_inputs:
+        logging.info(f'fetching IPFS inputs: {raw_inputs}')
 
-        return speed
+    retry = 3
+    for _input in req['binary_data'].split(','):
+        if _input:
+            for r in range(retry):
+                try:
+                    # user `GPUConnector` to IO with
+                    # storage layer to seed the compute
+                    # task.
+                    img = await conn.get_input_data(_input)
+                    inputs.append(img)
+                    logging.info(f'retrieved {_input}!')
+                    break
 
-    async def should_cancel_work(self, request_id: int):
-        self._benchmark.append(time.time())
-        logging.info('should cancel work?')
-        if request_id not in self._snap['requests']:
-            logging.info(f'request #{request_id} no longer in queue, likely its been filled by another worker, cancelling work...')
-            return True
+                except BaseException:
+                    logging.exception(
+                        f'IPFS fetch input error !?! retries left {retry - r - 1}\n'
+                    )
 
-        competitors = set([
-            status['worker']
-            for status in self._snap['requests'][request_id]
-            if status['worker'] != self.config.account
-        ])
-        logging.info(f'competitors: {competitors}')
-        should_cancel = bool(self.config.non_compete & competitors)
-        logging.info(f'cancel: {should_cancel}')
-        return should_cancel
+    # compute unique request hash used on submit
+    hash_str = (
+        str(req['nonce'])
+        +
+        req['body']
+        +
+        req['binary_data']
+    )
+    logging.debug(f'hashing: {hash_str}')
+    request_hash = sha256(hash_str.encode('utf-8')).hexdigest()
+    logging.info(f'calculated request hash: {request_hash}')
+
+    total_step = body['params']['step']
+    model = body['params']['model']
+    mode = body['method']
+
+    # TODO: validate request
+
+    resp = await conn.begin_work(rid)
+    if not resp or 'code' in resp:
+        logging.info('begin_work error, probably being worked on already... skip.')
+        return
+
+    with maybe_load_model(model, mode):
+        try:
+            maybe_update_tui(lambda tui: tui.set_progress(0, done=total_step))
+
+            output_type = 'png'
+            if 'output_type' in body['params']:
+                output_type = body['params']['output_type']
+
+            output = None
+            output_hash = None
+            match config.backend:
+                case 'sync-on-thread':
+                    output_hash, output = await trio.to_thread.run_sync(
+                        partial(
+                            compute_one,
+                            rid,
+                            mode, body['params'],
+                            inputs=inputs,
+                            should_cancel=conn.should_cancel_work,
+                        )
+                    )
+
+                case _:
+                    raise DGPUComputeError(
+                        f'Unsupported backend {config.backend}'
+                    )
+
+            maybe_update_tui(lambda tui: tui.set_progress(total_step))
+
+            ipfs_hash = await conn.publish_on_ipfs(output, typ=output_type)
+
+            await conn.submit_work(rid, request_hash, output_hash, ipfs_hash)
+
+            await maybe_update_tui_balance(conn)
 
 
-    async def snap_updater_task(self):
-        '''
-        Busy loop update the local `._snap: dict` table from
+        except BaseException as err:
+            if 'network cancel' not in str(err):
+                logging.exception('Failed to serve model request !?\n')
 
-        '''
-        while True:
-            self._snap = await self.conn.get_full_queue_snapshot()
-            await trio.sleep(1)
+            if rid in conn._tables['requests']:
+                await conn.cancel_work(rid, 'reason not provided')
 
-    # TODO, design suggestion, just make this a lazily accessed
-    # `@class_property` if we're 3.12+
-    # |_ https://docs.python.org/3/library/functools.html#functools.cached_property
-    async def generate_api(self) -> Quart:
-        '''
-        Gen a `Quart`-compat web API spec which (for now) simply
-        serves a small monitoring ep that reports,
 
-        - iso-time-stamp of the last served model-output
-        - the worker's average "compute-iterations-per-second"
+async def serve_forever(config: Config, conn: NetConnector):
+    await maybe_update_tui_balance(conn)
+    try:
+        async for tables in conn.iter_poll_update(config.poll_time):
+            queue = tables['queue']
 
-        '''
-        app = Quart(__name__)
-
-        @app.route('/')
-        async def health():
-            return jsonify(
-                account=self.config.account,
-                version=VERSION,
-                last_generation_ts=self._last_generation_ts,
-                last_generation_speed=self._get_benchmark_speed()
+            random.shuffle(queue)
+            queue = sorted(
+                queue,
+                key=lambda req: convert_reward_to_int(req['reward']),
+                reverse=True
             )
 
-        return app
+            if len(queue) > 0:
+                await maybe_serve_one(config, conn, queue[0])
 
-    async def _update_balance(self):
-        async def _fn(tui):
-            # update balance
-            balance = await self.conn.get_worker_balance()
-            tui.set_header_text(new_balance=f'balance: {balance}')
-
-        await maybe_update_tui_async(_fn)
-
-    # TODO? this func is kinda big and maybe is better at module
-    # level to reduce indentation?
-    # -[ ] just pass `daemon: WorkerDaemon` vs. `self`
-    async def maybe_serve_one(
-        self,
-        req: dict,
-    ):
-        rid = req['id']
-        logging.info(f'maybe serve request #{rid}')
-
-        # parse request
-        body = json.loads(req['body'])
-        model = body['params']['model']
-
-        # if model not known, ignore.
-        if (
-            model != 'RealESRGAN_x4plus'
-            and
-            model not in MODELS
-        ):
-            logging.warning(f'unknown model {model}!, skip...')
-            return False
-
-        # only handle whitelisted models
-        if (
-            len(self.config.model_whitelist) > 0
-            and
-            model not in self.config.model_whitelist
-        ):
-            logging.warning('model not whitelisted!, skip...')
-            return False
-
-        # if blacklist contains model skip
-        if (
-            len(self.config.model_blacklist) > 0
-            and
-            model in self.config.model_blacklist
-        ):
-            logging.warning('model not blacklisted!, skip...')
-            return False
-
-        results = [res['request_id'] for res in self._snap['results']]
-
-        # if worker already produced a result for this request
-        if rid in results:
-            logging.info(f'worker already submitted a result for request #{rid}, skip...')
-            return False
-
-        statuses = self._snap['requests'][rid]
-
-        # skip if workers in non_compete already on it
-        competitors = set((status['worker'] for status in statuses))
-        if bool(self.config.non_compete & competitors):
-            logging.info('worker in configured non_compete list already working on request, skip...')
-            return False
-
-        # resolve the ipfs hashes into the actual data behind them
-        inputs = []
-        raw_inputs = req['binary_data'].split(',')
-        if raw_inputs:
-            logging.info(f'fetching IPFS inputs: {raw_inputs}')
-
-        retry = 3
-        for _input in req['binary_data'].split(','):
-            if _input:
-                for r in range(retry):
-                    try:
-                        # user `GPUConnector` to IO with
-                        # storage layer to seed the compute
-                        # task.
-                        img = await self.conn.get_input_data(_input)
-                        inputs.append(img)
-                        logging.info(f'retrieved {_input}!')
-                        break
-
-                    except BaseException:
-                        logging.exception(
-                            f'IPFS fetch input error !?! retries left {retry - r - 1}\n'
-                        )
-
-        # compute unique request hash used on submit
-        hash_str = (
-            str(req['nonce'])
-            +
-            req['body']
-            +
-            req['binary_data']
-        )
-        logging.debug(f'hashing: {hash_str}')
-        request_hash = sha256(hash_str.encode('utf-8')).hexdigest()
-        logging.info(f'calculated request hash: {request_hash}')
-
-        total_step = body['params']['step']
-        model = body['params']['model']
-        mode = body['method']
-
-        # TODO: validate request
-
-        resp = await self.conn.begin_work(rid)
-        if not resp or 'code' in resp:
-            logging.info('begin_work error, probably being worked on already... skip.')
-            return False
-
-        with maybe_load_model(model, mode):
-            try:
-                maybe_update_tui(lambda tui: tui.set_progress(0, done=total_step))
-
-                output_type = 'png'
-                if 'output_type' in body['params']:
-                    output_type = body['params']['output_type']
-
-                output = None
-                output_hash = None
-                match self.config.backend:
-                    case 'sync-on-thread':
-                        output_hash, output = await trio.to_thread.run_sync(
-                            partial(
-                                compute_one,
-                                rid,
-                                mode, body['params'],
-                                inputs=inputs,
-                                should_cancel=self.should_cancel_work,
-                            )
-                        )
-
-                    case _:
-                        raise DGPUComputeError(
-                            f'Unsupported backend {self.config.backend}'
-                        )
-
-                maybe_update_tui(lambda tui: tui.set_progress(total_step))
-
-                self._last_generation_ts: str = datetime.now().isoformat()
-                self._last_benchmark: list[float] = self._benchmark
-                self._benchmark: list[float] = []
-
-                ipfs_hash = await self.conn.publish_on_ipfs(output, typ=output_type)
-
-                await self.conn.submit_work(rid, request_hash, output_hash, ipfs_hash)
-
-                await self._update_balance()
-
-
-            except BaseException as err:
-                if 'network cancel' not in str(err):
-                    logging.exception('Failed to serve model request !?\n')
-
-                if rid in self._snap['requests']:
-                    await self.conn.cancel_work(rid, 'reason not provided')
-
-            finally:
-                return True
-
-    # TODO, as per above on `.maybe_serve_one()`, it's likely a bit
-    # more *trionic* to define this all as a module level task-func
-    # which operates on a `daemon: WorkerDaemon`?
-    #
-    # -[ ] keeps tasks-as-funcs style prominent
-    # -[ ] avoids so much indentation due to methods
-    async def serve_forever(self):
-        await self._update_balance()
-        try:
-            while True:
-                queue = self._snap['queue']
-
-                random.shuffle(queue)
-                queue = sorted(
-                    queue,
-                    key=lambda req: convert_reward_to_int(req['reward']),
-                    reverse=True
-                )
-
-                for req in queue:
-                    # TODO, as mentioned above just inline this once
-                    # converted to a mod level func.
-                    if (await self.maybe_serve_one(req)):
-                        break
-
-                await trio.sleep(1)
-
-        except KeyboardInterrupt:
-            ...
+    except KeyboardInterrupt:
+        ...
diff --git a/skynet/dgpu/network.py b/skynet/dgpu/network.py
index 9076ee2..8b45197 100755
--- a/skynet/dgpu/network.py
+++ b/skynet/dgpu/network.py
@@ -3,6 +3,7 @@ import json
 import time
 import logging
 from pathlib import Path
+from typing import AsyncGenerator
 from functools import partial
 
 import trio
@@ -66,7 +67,11 @@ class NetConnector:
 
         self.ipfs_client = AsyncIPFSHTTP(config.ipfs_url)
 
-        self._wip_requests = {}
+        self._tables = {
+            'queue': [],
+            'requests': {},
+            'results': []
+        }
 
         maybe_update_tui(lambda tui: tui.set_header_text(new_worker_name=self.config.account))
 
@@ -132,9 +137,6 @@ class NetConnector:
             logging.info('no balance info found')
             return None
 
-    # TODO, considery making this a NON-method and instead
-    # handing in the `snap['queue']` output beforehand?
-    # -> since that call is the only usage of `self`?
     async def get_full_queue_snapshot(self):
         '''
         Keep in-sync with latest (telos chain's smart-contract) table
@@ -162,6 +164,34 @@ class NetConnector:
 
         return snap
 
+    async def iter_poll_update(self, poll_time: float) -> AsyncGenerator[dict, None]:
+        '''
+        Long running task, olls gpu contract tables yields latest table rows
+
+        '''
+        while True:
+            start_time = time.time()
+            self._tables = await self.get_full_queue_snapshot()
+            elapsed = time.time() - start_time
+            yield self._tables
+            await trio.sleep(max(poll_time - elapsed, 0.1))
+
+    async def should_cancel_work(self, request_id: int) -> bool:
+        logging.info('should cancel work?')
+        if request_id not in self._tables['requests']:
+            logging.info(f'request #{request_id} no longer in queue, likely its been filled by another worker, cancelling work...')
+            return True
+
+        competitors = set([
+            status['worker']
+            for status in self._tables['requests'][request_id]
+            if status['worker'] != self.config.account
+        ])
+        logging.info(f'competitors: {competitors}')
+        should_cancel = bool(self.config.non_compete & competitors)
+        logging.info(f'cancel: {should_cancel}')
+        return should_cancel
+
     async def begin_work(self, request_id: int):
         '''
         Publish to the bc that the worker is beginning a model-computation
@@ -244,7 +274,7 @@ class NetConnector:
         result_hash: str,
         ipfs_hash: str
     ):
-        logging.info('submit_work #{request_id}')
+        logging.info(f'submit_work #{request_id}')
         return await failable(
             partial(
                 self.cleos.a_push_action,