Juice

NVIDIA GTCMeet Juice Labs at NVIDIA GTC San Jose — March 16–19, 2026GPU AnywhereJuice's GPU-over-IP software turns your GPUs into remote virtual resources: pooled, shared, and network-attachable to AI and graphics workloads.Try JuiceRead Documentationuser@local:~/projects/ai-model# Reserve a session with fractional GPU$juice session request pool-001 --vram 42>Session allocated (NVIDIA A100-80GB, 38GB remaining)# Run inference remotely on distributed infra$juice run python llama_inference.py --prompt "Future of AI">Inference running on remote GPU (2.1ms latency)"The future of AI lies in decentralized compute infrastructure..."For Telcos & ISPsUnlock the EdgeFast to MarketStand up GPU servers and go. No extra systems, tooling, or infrastructure overhead required.Use Existing POPsAdd GPUs to your current infrastructure. Dedicate space and power to the highest-value asset.Max UtilizationFractional GPU sharing drives high utilization and stronger ROI on every card deployed.Data SovereigntyCustomer data is never at rest on provider systems. Keep data gravity and compliance in your hands. Architecture OverviewJuice decouples the application process from the physical GPU, allowing these applications to run on separate machines connected by standard networks.Client MachineUser ApplicationPython / Blender / UnrealThe application process runs here. It thinks it has a local GPU, but Juice intercepts the API calls.TCP / IPCUDA API CallsVulkan API CallsDirectX 12 API CallsJuice AgentPhysical GPUNVIDIA A100 / RTX 4090The actual GPU work executes here. The results (frames, tensors) are sent back to the client.Works over LAN and WAN|No application code changes requiredThe Juice AdvantageSee how Juice stacks up against traditional infrastructure. We eliminate the complexity of VDI, the latency of batch processing, and the rigidity of hardware partitions.FeatureJuice LabsVDI / Cloud DesktopK8s / ContainersMIG / vGPUSetup Complexity Low (Install Client)High (Manage Images)Very High (DevOps)High (Hypervisor Config)Resource Pooling Dynamic & GranularStatic (1:1 or 1:N)Static (Request/Limit)Static (Fixed Partitions)Data Locality Local DiskRemote StorageRemote Object StoreN/AHardware Agnostic Yes (Any NVIDIA GPU)YesYesNo (Specific SKUs Only)Desktop Support Yes (DirectX / Vulkan / CUDA)YesHeadless / CLI OnlySometimesGPU PartitioningJuice provides granular, dynamic resource sharing that legacy hardware virtualization technologies like MIG and vGPU simply can't match.Dynamic AllocationUnlike static partitioning (MIG), Juice dynamically allocates VRAM and compute as needed, allowing for true oversubscription and higher utilization.Graphics + ComputeRun heavy graphical workloads (DirectX/Vulkan) and ML compute (CUDA) simultaneously. MIG is typically compute-only.Hardware AgnosticJuice works on any NVIDIA GPU, including consumer RTX and workstation cards. No expensive data-center-only hardware required.Full Windows SupportSeamless support for Windows hosts and clients, unlocking a vast ecosystem of creative and engineering software.User-Space InstallNo need for bare-metal access, custom kernels, or specialized hypervisors. Juice runs as a standard user application.Utilization ComparisonLegacy vGPU / MIGStatic PartitioningUser A25% (Fixed)User B25% (Fixed)User C25% (Fixed)Empty25% (Wasted) Inflexible Resource UsageJuice LabsDynamic PoolingUser A50%User B50%User A and B share resources evenly (50/50) Max EfficiencyTraditional ClusterTotal Time: 2hGPU NodeJob AGPUIdleJob BGPUIdleJob B must wait for Job A to finish completely.With JuiceTotal Time: 1hCPU Node 1Job A CPU Node 2Job BRemote GPUJob AJob B 2x ThroughputHPC & SLURM ReadySupercharge Your ClusterDecouple your workloads from physical hardware. With Juice, standard CPU nodes in your SLURM cluster can access GPU power on-demand over the network.Data Stays PutIT admins don't need to worry about data availability on GPU nodes. Juice makes the data accessible to the remote GPU directly from where it lives on the CPU node.Maximize CPU ROIUtilize your existing CPU fleet for GPU-accelerated workloads. Run more jobs by freeing up GPU nodes from CPU-bound tasks.Seamless SchedulingIntegrate with SLURM to request Juice resources as simply as local hardware. No complex job modifications needed.Any OS • Any ArchitectureCross-Platform FreedomBreak free from hardware and OS lock-in. Juice acts as a universal translation layer, allowing your applications to access the best available compute, regardless of the underlying platform.Cross-OS CompatibilityRun Windows-exclusive engineering software on cost-effective Linux cloud GPUs.Windows ClientCATIA, Siemens NXJUICELinux ServerNVIDIA A10G/A100Cross-Architecture BridgeConnect ARM-based edge devices to powerful x86 data center GPUs.ARMARM ClientAndroid, RoboticsJUICEx86x86 HostData Center GPUFor HyperscalersMulti-Cloud ArbitrageEscape hyperscaler GPU shortages and pricing. Keep your data and control plane in AWS/GCP while instantly bursting to cost-effective neoclouds for compute.Data Gravity SolvedStream data to the GPU host for in-transit processing only. Avoid governance risks by eliminating data-at-rest requirements in the remote cloud.Instant AvailabilityAccess H100s and A100s on CoreWeave, Nebius, or Lambda when AWS capacity is zero.Zero RefactoringNo Terraform, no Kubernetes federation. Just point your local Juice client to a remote agent IP.AWSGCPAzureYour Data & Control Plane JUICEEncrypted TunnelCoreWeaveNebiusLambdaCheap GPUs (H100/A100)Desktop Client AvailablePower Your Creative AppsThe Juice Desktop App brings remote GPU power to your favorite creative and engineering tools. Enable Juice for demanding applications like CATIA, Blender, and Unreal Engine with a single click.Automatic GPU discovery and connectionProfile management for different workflowsReal-time latency and performance monitoringSecure authentication integrationView Desktop Docs Get Started In Seconds1Download & InstallDownload the Juice Client binaries for your operating system from our portal. Download Client2AuthenticateLog in securely with your organization credentials to access the GPU pool.$juice login3Run ApplicationsExecute your application with the 'juice run' prefix to attach a remote GPU.$juice run Local MachineApplicationAPI Calls (TCP/IP)Remote GPUExecutionBandwidth:8.4 GbpsLatency:1.2 msEncryption:TLS 1.3Trusted by Industry LeadersIndustry LeadersTrusted by innovators across AI, Engineering, and Cloud Computing."We see immediate benefit… not only in terms of GPU utilization, but in terms of how we build out resources and design from the storage layer to the GPU layer."DDr. Chris SimmonsCSO, Cambridge Computer"We see a great opportunity to partner on achieving our longer-term objectives related to end-user computing and the paradigm shift of AI… We are impressed by the technological advancements [Juice] has achieved in the computing space."JJarrett SimersonCTO & SVP, Dell Client Solutions"We believe Juice Labs will unlock the potential of Private AI on a global scale"RRVPEquinix"Juice is a complete game changer for us. Being able to connect to remote GPU natively and share resources across workloads allows for massive savings and innovative new deployments."TThomasDevOps Engineer, UbisoftChoose Your PlanGet started for free or unlock the full power of remote GPU computing.Juice Free$0 /MonthRun up to 10 hours of total GPU time per monthPool up to 3 GPU agentsUse any Nvidia GPU up to 40GB of VRAMGET STARTEDMost PopularJuice Pro$30 /MonthRun for unlimited GPU time per monthPool up to 3 GPU agentsUse any Nvidia GPU up to 40GB of VRAMGET STARTEDJuice EnterpriseLet's TalkRun for unlimited GPU time per monthPool unlimited GPU agentsUse any Nvidia GPU of any sizeCONTACT SALESReady to Accelerate?Join thousands of engineers using Juice Labs to power their next breakthrough.Contact SalesTry Juice --- Back to HomeJuice InsightsEngineering deep dives, case studies, and thoughts on the future of distributed computing.ArchitectureJuice: Giving Network Service Providers the EdgeHow does Juice help NSPs beat cloud giants on GPU-as-a-Service at the AI Edge? Discover the architecture that enables distributed compute.Feb 20257 min readGraphicsNew Technology for Remote GraphicsWhy traditional VDI struggles with modern workloads and how network-native GPU access changes the paradigm for heavy graphics applications.Jan 20258 min readVisionWardenclyffe TowerWhat does a 100 year old wireless power grid concept have to do with the future of AI and spatial computing? Turns out... quite a lot.Dec 20245 min readSustainabilityArtificial Intelligence (AI) & SustainabilityUncover the role of Juice in creating a sustainable AI ecosystem by boosting GPU utilization and reducing energy wastage.Dec 20245 min readPerformanceJuice Performance: A100 Bare MetalBenchmarks for models like BERT, ResNet, YOLO, and LLaMa showcasing near-native performance over standard networks.Nov 20244 min readInfrastructureComposable Cloud GPU InfrastructureHow Juice’s network attached GPU virtualization and composable infrastructure for cloud GPU infrastructure stacks create efficient management.Oct 20245 min readComparisonJuice vs. BitfusionJuice empowers former Bitfusion customers with whole GPU over IP coverage, paving the way for next generation workflows.Sep 20244 min readDeep DiveJust how do Juice virtual GPUs beat latency?Just how do you teach old hardware new tricks? A deep dive into our latency-busting technology.Aug 20246 min readTechnologyVirtual GPU Latency - Part 1“How is the latency?” - An honest look at the challenges and solutions in remote GPU computing.Aug 20244 min read --- NVIDIA GTC San Jose — March 16–19, 2026Meet Juice Labs at NVIDIA GTCGPU-over-IP Software for the AI GridConnect with usLet's find time to talk at GTC, or beyond.NameEmailNotesLet's TalkGPU Infrastructure for the AI GridFast to MarketStand up GPU servers and go. No extra systems, tooling, or infrastructure overhead required.Use Existing POPsAdd GPUs to your current infrastructure. Dedicate space and power to the highest-value asset.Max UtilizationFractional GPU sharing drives high utilization and stronger ROI on every card deployed.Data SovereigntyCustomer data is never at rest on provider systems. Keep data gravity and compliance in your hands.