diff --git a/test/test_schedule.py b/test/test_schedule.py
index 932add6943..a6045f0a5d 100644
--- a/test/test_schedule.py
+++ b/test/test_schedule.py
@@ -6,7 +6,7 @@ import unittest
 from typing import List, Optional, Union
 from tinygrad.tensor import Tensor
 from tinygrad.ops import LoadOps
-from tinygrad.helpers import DEBUG, GRAPH
+from tinygrad.helpers import DEBUG, GRAPH, flatten
 from tinygrad.codegen.linearizer import Linearizer
 from tinygrad.features.graph import print_tree, realized_lazybuffer
 from tinygrad.engine.schedule import create_schedule
@@ -14,6 +14,7 @@ from tinygrad import nn, dtypes
 from test.helpers import is_dtype_supported
 
 def check_schedule(t:Union[Tensor, List[Tensor]], allowed:int, to_prerealize:Optional[List[Tensor]]=None, filter_loadops=True):
+  if isinstance(t, Tensor): t = [t]
   seen = set()
   if to_prerealize:
     for pre in to_prerealize:
@@ -21,7 +22,7 @@ def check_schedule(t:Union[Tensor, List[Tensor]], allowed:int, to_prerealize:Opt
         for i,out in enumerate(s.outputs):
           if GRAPH: realized_lazybuffer(out, 0)
           seen.add(out)
-  sched = create_schedule([t_.lazydata for t_ in ([t] if isinstance(t, Tensor) else t)], seen)
+  sched = create_schedule(flatten([r.lazydata.lbs for r in t]), seen)
   if GRAPH:
     for i,s in enumerate(sched):
       for out in s.outputs: realized_lazybuffer(out, i+1)
@@ -432,6 +433,39 @@ class TestSchedule(unittest.TestCase):
     out = x.contiguous() + y.contiguous()
     check_schedule(out, 2)
 
+  def test_group_fuse(self):
+    a = Tensor.empty((4, 4))
+    out0 = a.sum() + 2
+    out1 = a.sum() + 4
+    check_schedule([out0, out1], 1)
+
+  def test_group_inner_deps_fuse(self):
+    a = Tensor.empty((4, 4))
+    out0 = a.sum() + 2
+    out1 = a.sum() + out0 + 4
+    check_schedule([out0, out1], 1)
+
+  def test_group_midreduce_nofuse(self):
+    a = Tensor.empty((4, 4))
+    b = Tensor.empty((4, 4))
+    out0 = a.sum() + 2
+    out1 = a.sum() + b.sum() + 4
+    check_schedule([out0, out1], 3)
+
+  def test_group_midexpand_nofuse(self):
+    a = Tensor.empty((32, 32, 32))
+    b = Tensor.empty((1, 16))
+    out0 = a.sum() + 2
+    out1 = a.sum() + b
+    check_schedule([out0, out1], 4)
+
+  def test_group_midshrink_fuse(self):
+    a = Tensor.empty(100, 100)
+    b = Tensor.empty(10,)
+    out0 = a.sum() + b[0]
+    out1 = a.sum() + 2
+    check_schedule([out0, out1], 1)
+
   @unittest.skipUnless(is_dtype_supported(dtypes.half), "need half")
   def test_prefer_half_buffer(self):
     x = Tensor.ones(4).contiguous().realize()
@@ -448,7 +482,7 @@ class TestSchedule(unittest.TestCase):
     shared = x.sum().half().float()
     a = shared * 2
     b = shared * 3
-    sched = check_schedule([a, b], 3)
+    sched = check_schedule([a, b], 1)
     for si in sched[:-2]: assert all(out.dtype is dtypes.half for out in si.outputs)
 
     # reduce
diff --git a/tinygrad/engine/schedule.py b/tinygrad/engine/schedule.py
index 087ca3d5ff..2ba0803f7c 100644
--- a/tinygrad/engine/schedule.py
+++ b/tinygrad/engine/schedule.py
@@ -75,19 +75,21 @@ def _recursive_lazyop(buf:LazyBuffer, inputs:List[LazyBuffer], outbufs:Tuple[Laz
     LazyOp(buf.op, tuple(_recursive_lazyop(x, inputs, outbufs, var_vals, st, realizes, cache, assign_to, assign_idx) for x in buf.srcs), buf.arg)
   return ret
 
-def _schedule_one(out:LazyBuffer, realizes:Dict[LazyBuffer, None], reduce_for_op: Dict[LazyBuffer, LazyBuffer]) -> _LBScheduleItem:
+def _schedule_group(outs:Tuple[LazyBuffer, ...], realizes:Dict[LazyBuffer, None], reduce_for_op: Dict[LazyBuffer, LazyBuffer]) -> _LBScheduleItem:
   inputs: List[LazyBuffer] = []
-  var_vals: Dict[Variable, int] = out.st.var_vals.copy()
-  if out.op in {LoadOps.CUSTOM, LoadOps.COPY, LoadOps.EMPTY}:
-    op, inputs = LazyOp(out.op, (), out.arg), list(out.srcs)
+  ast: List[LazyOp] = []
+  var_vals: Dict[Variable, int] = merge_dicts([out.st.var_vals.copy() for out in outs])
+  if outs[0].op in {LoadOps.CUSTOM, LoadOps.COPY, LoadOps.EMPTY}:
+    ast, inputs = [LazyOp(outs[0].op, (), outs[0].arg)], list(outs[0].srcs)
   else:
-    output_st = ShapeTracker.from_shape(reduce_for_op[out].shape if out in reduce_for_op else out.shape)
-    output_view = out.arg[0] if out.op is LoadOps.ASSIGN and out.arg else output_st
-    op = _recursive_lazyop(out, inputs, (out, ), var_vals, output_st, realizes, cache={})
-    output_view, vv = output_view.simplify().unbind()
-    if vv: var_vals.update(vv)
-    op = LazyOp(BufferOps.STORE, (op, ), MemBuffer(0, out.dtype, output_view))
-  return _LBScheduleItem((op,), (out,), tuple(inputs), var_vals)
+    for i, out in enumerate(outs):
+      output_st = ShapeTracker.from_shape(reduce_for_op[out].shape if out in reduce_for_op else out.shape)
+      output_view = out.arg[0] if out.op is LoadOps.ASSIGN and out.arg else output_st
+      op = _recursive_lazyop(out, inputs, outs, var_vals, output_st, realizes, cache={})
+      output_view, vv = output_view.simplify().unbind()
+      if vv: var_vals.update(vv)
+      ast.append(LazyOp(BufferOps.STORE, (op, ), MemBuffer(i, out.dtype, output_view)))
+  return _LBScheduleItem(tuple(ast), outs, tuple(inputs), var_vals)
 
 # recursively search the entire graph for all LazyBuffers, insert realizes after expands
 def _recurse_lb(buf:LazyBuffer, realizes:Dict[LazyBuffer, None], allbufs:Dict[LazyBuffer, None],
@@ -157,13 +159,24 @@ def _graph_schedule(outs:List[LazyBuffer], seen:Set[LazyBuffer]) -> Tuple[Defaul
       for tr,st in child_set.items():
         if tr in realizes:
           realized_children[tr] = st
-          # can only have one output buffer
           # can only reduce contiguous
           # max one reduceop per kernel
-          if len(realized_children) > 1 or not st.contiguous or st.size != r.st.size or (tr in reduce_for_op and reduce_for_op[tr] != r):
+          if not st.contiguous or st.size != r.st.size or (tr in reduce_for_op and reduce_for_op[tr] != r):
             can_chase = tr not in reduce_for_op or reduce_for_op[tr] == r
             forced_realize = True
             break
+          if len(realized_children) > 1:
+            for rc in realized_children:
+              rc_parents = deque(x.base for x in rc.srcs)
+              while rc_parents:
+                if (p:=rc_parents.pop()).realized or p.op is LoadOps.CONST: continue
+                if p is r: continue
+                # max one reduceop per kernel
+                if p.op in ReduceOps:
+                  can_chase = tr not in reduce_for_op or reduce_for_op[tr] == r
+                  forced_realize = True
+                  break
+                for x in p.srcs: rc_parents.append(x.base)
           continue
         for tr_next in children[tr].keys():
           if not tr_next.realized:
@@ -195,12 +208,15 @@ def _graph_schedule(outs:List[LazyBuffer], seen:Set[LazyBuffer]) -> Tuple[Defaul
           tr = tr.srcs[0].base
         reduce_for_op[tr] = r
       realizes[tr] = None
-    else:
-      assert len(realized_children) == 1
-      reduce_for_op[next(iter(realized_children.keys()))] = r
+    else: reduce_for_op.update((tr, r) for tr in realized_children)
+
+  output_groups: DefaultDict[Tuple, List[LazyBuffer]] = defaultdict(list)
+  for r in realizes:
+    if r.realized is not None or r.op is LoadOps.CONST or r in seen: continue
+    output_groups[(reduce_for_op[r], ) if r in reduce_for_op else (r, )].append(r)
 
   # preschedule all buffers in realizes
-  prescheduled = {x:_schedule_one(x, realizes, reduce_for_op) for x in realizes if x not in seen and x.realized is None and x.op is not LoadOps.CONST}
+  prescheduled = {group[0]:_schedule_group(tuple(group), realizes, reduce_for_op) for group in output_groups.values()}
   schedule_targets = {out:ps for ps in prescheduled.values() for out in ps.outputs}
   assign_targets = {x.srcs[1]:x for x in realizes if x.op is LoadOps.ASSIGN and x not in seen and x.realized is None}