diff --git a/main.go b/main.go
index 95ad930..f024039 100644
--- a/main.go
+++ b/main.go
@@ -116,7 +116,7 @@ func main() {
 			"",
 			false,
 		),
-		gpuInfo,
+		sysMemInfo,
 	)
 
 	router := routing.NewNormalizedServeMux()
diff --git a/pkg/inference/memory/system.go b/pkg/inference/memory/system.go
index 5931d43..fb0a384 100644
--- a/pkg/inference/memory/system.go
+++ b/pkg/inference/memory/system.go
@@ -9,6 +9,7 @@ import (
 
 type SystemMemoryInfo interface {
 	HaveSufficientMemory(inference.RequiredMemory) bool
+	GetTotalMemory() inference.RequiredMemory
 }
 
 type systemMemoryInfo struct {
@@ -48,3 +49,7 @@ func NewSystemMemoryInfo(log logging.Logger, gpuInfo *gpuinfo.GPUInfo) (SystemMe
 func (s *systemMemoryInfo) HaveSufficientMemory(req inference.RequiredMemory) bool {
 	return req.RAM <= s.totalMemory.RAM && req.VRAM <= s.totalMemory.VRAM
 }
+
+func (s *systemMemoryInfo) GetTotalMemory() inference.RequiredMemory {
+	return s.totalMemory
+}
diff --git a/pkg/inference/scheduling/loader.go b/pkg/inference/scheduling/loader.go
index 7ed06a2..69166e0 100644
--- a/pkg/inference/scheduling/loader.go
+++ b/pkg/inference/scheduling/loader.go
@@ -10,12 +10,11 @@ import (
 	"time"
 
 	"github.com/docker/model-runner/pkg/environment"
-	"github.com/docker/model-runner/pkg/gpuinfo"
 	"github.com/docker/model-runner/pkg/inference"
+	"github.com/docker/model-runner/pkg/inference/memory"
 	"github.com/docker/model-runner/pkg/inference/models"
 	"github.com/docker/model-runner/pkg/logging"
 	"github.com/docker/model-runner/pkg/metrics"
-	"github.com/elastic/go-sysinfo"
 )
 
 const (
@@ -113,7 +112,7 @@ func newLoader(
 	backends map[string]inference.Backend,
 	modelManager *models.Manager,
 	openAIRecorder *metrics.OpenAIRecorder,
-	gpuInfo *gpuinfo.GPUInfo,
+	sysMemInfo memory.SystemMemoryInfo,
 ) *loader {
 	// Compute the number of runner slots to allocate. Because of RAM and VRAM
 	// limitations, it's unlikely that we'll ever be able to fully populate
@@ -135,32 +134,7 @@ func newLoader(
 	}
 
 	// Compute the amount of available memory.
-	// TODO(p1-0tr): improve error handling
-	vramSize, err := gpuInfo.GetVRAMSize()
-	if err != nil {
-		vramSize = 1
-		log.Warnf("Could not read VRAM size: %s", err)
-	} else {
-		log.Infof("Running on system with %dMB VRAM", vramSize/1024/1024)
-	}
-	ramSize := uint64(1)
-	hostInfo, err := sysinfo.Host()
-	if err != nil {
-		log.Warnf("Could not read host info: %s", err)
-	} else {
-		ram, err := hostInfo.Memory()
-		if err != nil {
-			log.Warnf("Could not read host RAM size: %s", err)
-		} else {
-			ramSize = ram.Total
-			log.Infof("Running on system with %dMB RAM", ramSize/1024/1024)
-		}
-	}
-
-	totalMemory := inference.RequiredMemory{
-		RAM:  ramSize,
-		VRAM: vramSize,
-	}
+	totalMemory := sysMemInfo.GetTotalMemory()
 
 	// Create the loader.
 	l := &loader{
@@ -434,7 +408,7 @@ func (l *loader) load(ctx context.Context, backendName, modelID, modelRef string
 	} else if err != nil {
 		return nil, err
 	}
-	l.log.Infof("Loading %s, which will require %dMB RAM and %dMB VRAM", modelID, memory.RAM/1024/1024, memory.VRAM/1024/1024)
+	l.log.Infof("Loading %s, which will require %d MB RAM and %d MB VRAM on a system with %d MB RAM and %d MB VRAM", modelID, memory.RAM/1024/1024, memory.VRAM/1024/1024, l.totalMemory.RAM/1024/1024, l.totalMemory.VRAM/1024/1024)
 	if l.totalMemory.RAM == 1 {
 		l.log.Warnf("RAM size unknown. Assume model will fit, but only one.")
 		memory.RAM = 1
diff --git a/pkg/inference/scheduling/scheduler.go b/pkg/inference/scheduling/scheduler.go
index 3f716e9..b99db11 100644
--- a/pkg/inference/scheduling/scheduler.go
+++ b/pkg/inference/scheduling/scheduler.go
@@ -13,8 +13,8 @@ import (
 	"time"
 
 	"github.com/docker/model-distribution/distribution"
-	"github.com/docker/model-runner/pkg/gpuinfo"
 	"github.com/docker/model-runner/pkg/inference"
+	"github.com/docker/model-runner/pkg/inference/memory"
 	"github.com/docker/model-runner/pkg/inference/models"
 	"github.com/docker/model-runner/pkg/logging"
 	"github.com/docker/model-runner/pkg/metrics"
@@ -56,7 +56,7 @@ func NewScheduler(
 	httpClient *http.Client,
 	allowedOrigins []string,
 	tracker *metrics.Tracker,
-	gpuInfo *gpuinfo.GPUInfo,
+	sysMemInfo memory.SystemMemoryInfo,
 ) *Scheduler {
 	openAIRecorder := metrics.NewOpenAIRecorder(log.WithField("component", "openai-recorder"), modelManager)
 
@@ -67,7 +67,7 @@ func NewScheduler(
 		defaultBackend: defaultBackend,
 		modelManager:   modelManager,
 		installer:      newInstaller(log, backends, httpClient),
-		loader:         newLoader(log, backends, modelManager, openAIRecorder, gpuInfo),
+		loader:         newLoader(log, backends, modelManager, openAIRecorder, sysMemInfo),
 		router:         http.NewServeMux(),
 		tracker:        tracker,
 		openAIRecorder: openAIRecorder,