Float16

Cookie Notice: We use cookies to improve your experience. Read our Privacy Policy Deny Accept Float16 Full-Stack GPU Management One platform to deploy, manage, and scale your entire GPU infrastructure. From ready-to-use AI services to bare-metal GPU instances. UserAaaSPaaSIaaSGPUAaaSAI-as-a-ServiceAccess ready-to-use AI models instantly. No coding or infrastructure knowledge required.Access viaWeb Dashboard or REST APIYou provideJust your requestsExamplesChat with LLMsGenerate imagesCall API endpointsRequest DemoExplore PlatformSupported ByNVIDIAInception ProgramTTyphoonSCB10X Dedicated Resources. Zero Interference.Each GPU is isolated and dedicated to your workload. No noisy neighbors, no resource contention.Float16 GPU Management Platform8x GPU WorkloadsGPU 1Serverless GPUFor ML EngineersScale to zero, 1-sec cold startGPU 2Serverless GPUFor ML EngineersScale to zero, 1-sec cold startGPU 3Serverless GPUFor ML EngineersScale to zero, 1-sec cold startGPU 4Jupyter NotebookFor ResearchersTeaching & POC readyGPU 5Remote AccessFor Data ScientistsFull control via secure shell accessGPU 6Remote AccessFor Data ScientistsFull control via secure shell accessGPU 7LLM EndpointFor DevelopersReady-to-use API, no config neededGPU 8LLM EndpointFor DevelopersReady-to-use API, no config neededRequest DemoExplore Platform From Fixed Slots to Flexible CreditsStop wasting GPU time with rigid schedules. Float16 gives teams credit-based quotas they can use whenever needed.The ProblemInflexible AllocationStatic time-based quotas cannot adapt to changing workload demands. You reserve fixed hours regardless of actual needs.Resource WastageReserved time slots leave GPUs underutilized. Fixed quotas cannot adapt to varying workload intensities.Float16 SolutionGranular Workload ControlDynamically allocate resources based on workload type — training, inference, batch processing — each with its own optimized configuration.Full Resource UtilizationAchieve optimal hardware efficiency with dynamic scheduling that keeps your GPUs working at full capacity.See the DifferenceFixed time slots vs flexible credit-based quotasFixed Time SlotsEach team locked to specific hours67%Team A: 8AM-2PMTeam B: 2PM-8PMTeam C: 8PM-8AMIDLEIDLEIDLEIDLEIDLEIDLEIDLEIDLE8AM2PM8PM8AM8 hours wasted — GPU sits idle within reserved slotsCredit-Based QuotaTeams use hours flexibly when needed100%Team A6hTeam B6hTeam C12hActual usage — teams use GPU on-demand:8AM2PM8PM8AMNo wasted time — GPU fully utilized, quotas used flexiblyGet Started FreeTalk to Sales From Complex Setup to One-Click DeployStop wrestling with AI infrastructure. Float16 eliminates the complexity so developers can focus on building.Traditional AaaS SetupComplex, time-consuming, error-proneconfig.yamlmodel:name: GPT-OSS-120Bbatch_size: 32max_tokens: 4096infrastructure:replicas: 3gpu_memory: "80GB"...networking:ssl: trueload_balancer: "nginx"...ConfigDockerK8sNetworkMonitorCLI2+ weeksaverage setup timeFloat16 One-Click DeploySimple, fast, production-readyFloat16 DashboardSelect ModelGPT-OSS-120BGPU Memory80GBDeploy NowYour API is Liveapi.float16.cloud/v1/GPT-OSS-120B5 minutesfrom start to production80%TCO Reduction5 minvs 2+ weeks setupZeroDevOps RequiredStart Free TrialRequest Demo Get Started TodayReady to Simplify Your GPU Management?Join hundreds of teams using Float16 to deploy AI workloads faster. No infrastructure hassle, just results.Setup in 5 minutes90%+ GPU UtilizationRequest DemoExplore Platform1-sec Cold StartEnterprise SecurityScale to Zero24/7 Support --- Cookie Notice: We use cookies to improve your experience. Read our Privacy Policy Deny Accept Float16 Full-Stack GPU Management One platform to deploy, manage, and scale your entire GPU infrastructure. From ready-to-use AI services to bare-metal GPU instances. UserAaaSPaaSIaaSGPUAaaSAI-as-a-ServiceAccess ready-to-use AI models instantly. No coding or infrastructure knowledge required.Access viaWeb Dashboard or REST APIYou provideJust your requestsExamplesChat with LLMsGenerate imagesCall API endpointsRequest DemoExplore PlatformSupported ByNVIDIAInception ProgramTTyphoonSCB10X Dedicated Resources. Zero Interference.Each GPU is isolated and dedicated to your workload. No noisy neighbors, no resource contention.Float16 GPU Management Platform8x GPU WorkloadsGPU 1Serverless GPUFor ML EngineersScale to zero, 1-sec cold startGPU 2Serverless GPUFor ML EngineersScale to zero, 1-sec cold startGPU 3Serverless GPUFor ML EngineersScale to zero, 1-sec cold startGPU 4Jupyter NotebookFor ResearchersTeaching & POC readyGPU 5Remote AccessFor Data ScientistsFull control via secure shell accessGPU 6Remote AccessFor Data ScientistsFull control via secure shell accessGPU 7LLM EndpointFor DevelopersReady-to-use API, no config neededGPU 8LLM EndpointFor DevelopersReady-to-use API, no config neededRequest DemoExplore Platform From Fixed Slots to Flexible CreditsStop wasting GPU time with rigid schedules. Float16 gives teams credit-based quotas they can use whenever needed.The ProblemInflexible AllocationStatic time-based quotas cannot adapt to changing workload demands. You reserve fixed hours regardless of actual needs.Resource WastageReserved time slots leave GPUs underutilized. Fixed quotas cannot adapt to varying workload intensities.Float16 SolutionGranular Workload ControlDynamically allocate resources based on workload type — training, inference, batch processing — each with its own optimized configuration.Full Resource UtilizationAchieve optimal hardware efficiency with dynamic scheduling that keeps your GPUs working at full capacity.See the DifferenceFixed time slots vs flexible credit-based quotasFixed Time SlotsEach team locked to specific hours67%Team A: 8AM-2PMTeam B: 2PM-8PMTeam C: 8PM-8AMIDLEIDLEIDLEIDLEIDLEIDLEIDLEIDLE8AM2PM8PM8AM8 hours wasted — GPU sits idle within reserved slotsCredit-Based QuotaTeams use hours flexibly when needed100%Team A6hTeam B6hTeam C12hActual usage — teams use GPU on-demand:8AM2PM8PM8AMNo wasted time — GPU fully utilized, quotas used flexiblyGet Started FreeTalk to Sales From Complex Setup to One-Click DeployStop wrestling with AI infrastructure. Float16 eliminates the complexity so developers can focus on building.Traditional AaaS SetupComplex, time-consuming, error-proneconfig.yamlmodel:name: GPT-OSS-120Bbatch_size: 32max_tokens: 4096infrastructure:replicas: 3gpu_memory: "80GB"...networking:ssl: trueload_balancer: "nginx"...ConfigDockerK8sNetworkMonitorCLI2+ weeksaverage setup timeFloat16 One-Click DeploySimple, fast, production-readyFloat16 DashboardSelect ModelGPT-OSS-120BGPU Memory80GBDeploy NowYour API is Liveapi.float16.cloud/v1/GPT-OSS-120B5 minutesfrom start to production80%TCO Reduction5 minvs 2+ weeks setupZeroDevOps RequiredStart Free TrialRequest Demo Get Started TodayReady to Simplify Your GPU Management?Join hundreds of teams using Float16 to deploy AI workloads faster. No infrastructure hassle, just results.Setup in 5 minutes90%+ GPU UtilizationRequest DemoExplore Platform1-sec Cold StartEnterprise SecurityScale to Zero24/7 Support --- Cookie Notice: We use cookies to improve your experience. Read our Privacy Policy Deny Accept On-Premise & Private CloudGPU Management PlatformDeploy in 5 minutes. 90%+ GPU Utilization.Zero DevOps overhead.Built for teams who need complete ownership and control over their GPU infrastructure. Deploy on-premise or in your private cloud — your data stays with you.Request DemoExplore Platform~95%GPU Utilization<30sTo SSH Access7xGPU EfficiencyNVIDIA MIGRun up to 7 isolated models on a single GPU7x EfficiencyServerless GPULike Slurm, but with instant provisioning<30s SetupCredit-based QuotaFlexible credits replace rigid time slotsPay-per-useRBAC PermissionsFine-grained team and role-based access controlSelf-serveOn-Premise & Private CloudYour data stays with youEnterprise security Self-Host GPUs Without DevOps OverheadDifferent teams, different needs — one platform. Everything you need to manage GPUs at scale.7x EfficiencyNVIDIA MIGRun up to 7 isolated models on a single GPU with hardware-level isolation and dedicated resources.7 instances per GPUHardware isolationDedicated memory<30s ProvisioningServerless GPULike Slurm, but instant. Submit jobs and get GPUs in seconds with automatic scaling.Instant provisioningAuto-scalingQueue management~95% UtilizationSpot VMMaximize GPU utilization with preemptible instances that yield gracefully when needed.Graceful preemptionCost savingsHigh availabilityPay-per-useCredit-based QuotaReplace rigid time slots with flexible credits. Use what you need, when you need it.Flexible billingNo time slotsTeam budgetsFull Root AccessSSH & Jupyter AccessVM-like environment with full root access, Docker support, and built-in Jupyter notebooks.Full root accessDocker supportVSCode integration6+ TemplatesResearch TemplatesPre-configured environments for genomics, medical imaging, and protein folding research.ParabricksClara & MONAIAlphaFoldSelf-serve AccessRBAC PermissionsFine-grained permissions for VM, API, billing, deployment, monitoring, and admin access.Role-based controlTeam isolationAudit logging24/7 VisibilityGPU HeatmapReal-time visualization of GPU utilization across your entire fleet with 24-hour history.Real-time view24h historyFleet overview Platform TiersChoose the right tier for your GPU management needs. All tiers include on-premise and private cloud deployment.StarterFor teams up to 5 GPUsFree foreverMost PopularScaleFor teams up to 50 GPUsHyperscaleUnlimited GPUsEnterpriseComputeVM (GPU Passthrough)NVIDIA MIGSpot VMDeploymentOne Click Deploy (Dedicated Endpoint)Float16 BlueprintManagementTime-based quotaRBACYesYesYesBilling systemGPU Usage MonitoringSupportSupport TicketRequest DemoRequest DemoRequest DemoLooking for more advanced features?We offer additional enterprise capabilities including vGPU, serverless GPU, hybrid cloud deployment, and more. Contact us to learn about our full feature set.Contact Us for Full Feature List How Float16 ComparesChoose the right GPU infrastructure solution for your organization.RecommendedFloat16Serverless GPU, AI PaaS, Hybrid CloudSlurmTraditional HPC job schedulerKubernetesContainer orchestrationTraditional VMLegacy virtualizationBaremetalDirect hardware accessMulti-TenancyQuota ManagementWorkload TypeVM, Serverless, APIBatch / HPCContainersVMsAnyCloud StrategyHybrid CloudSingle CloudHybrid CloudSingle CloudSingle CloudDocker SupportFull DockerNo DockerNo DinDFull DockerFull DockerRequest Demo80%TCO Reduction5xFaster Deployment90%+GPU UtilizationBest for: Multi-tenant teams needing quota managementFloat16 combines the flexibility of serverless with enterprise-grade quota control.Learn More Choose Your DeploymentDeploy on your infrastructure for full control, or explore the platform on Float16 Cloud.RecommendedYour InfrastructureOn-Premise & Private CloudDeploy the GPU Management Platform on your own infrastructure for complete control and data sovereignty.Full control over your hardware1000+ GPUsData stays in your environment100% PrivacyCustom security policiesSOC2 ReadyCompliance with your requirementsHIPAA ReadyDedicated support & SLA24/7 SupportCustom integrationsFull APIRequest DemoFloat16 CloudExplore the PlatformTry the GPU Management Platform on our cloud to experience the features and capabilities.Instant access5 min setupNo setup requiredZero DevOpsExplore all featuresFull AccessGet the mood and feelFree TrialDeveloper-friendlyREST APIPay as you goNo Lock-inExplore Platform One Platform, Five PersonasDifferent teams, different needs — one unified platform that adapts to every role.7xGPU EfficiencySoftware DevelopersDeploy LLMs on your own GPU clusters without the DevOps nightmare.MIG for running up to 7 models per GPU4-in-1 deployment with RAG templatesProtected endpoints with bot preventionReal-time streaming analytics<30sTo SSH AccessData ScientistsVM-like GPU access with SSH, VSCode, and Docker — no YAML required.SSH and VSCode with full root accessCredit-based quota instead of time slotsDocker build and run supportServerless GPU queue for batch jobs~95%UtilizationML Engineers / MLOpsIsolated GPU workspaces for your team with fine-grained permissions.Team GPU sharing with isolated workspacesSpot VM with graceful preemptionRBAC for VM, API, billing, and deploySelf-serve team access management6+TemplatesResearchersWeb-based GPU access with pre-configured research templates — no CLI needed.Full GUI dashboard with Jupyter built-inParabricks, Clara, AlphaFold, MONAI templatesCredit-based billing for flexible usageH100 GPUs for high-performance research24/7VisibilityDevOps / InfrastructureOne platform for data scientists who want VMs and developers who want APIs.Multi-tenant isolation and RBACUnified dashboard with GPU heatmapUsage analytics and audit loggingFlexible quota system per team Common Use CasesSee how teams are using the GPU Management Platform to streamline their GPU operations.Up to 7 models/GPULLM DeploymentDeploy LLMs with MIG for up to 7 models per GPU, 4-in-1 deployment patterns, and RAG templates.135x faster genomicsResearch ComputingPre-configured templates for Genomics (Parabricks), Medical Imaging (Clara, MONAI), and Protein Folding (AlphaFold).50+ concurrent teamsTeam CollaborationIsolated workspaces with RBAC permissions for VM, API, billing, deploy, and admin access.<30s provisioningBatch ProcessingServerless GPU queue like Slurm with instant provisioning and credit-based billing.99.9% uptimeAPI ServicesProtected endpoints with bot prevention, rate limiting, and real-time streaming analytics.~95% utilizationGPU OptimizationMaximize utilization with Spot VM, MIG partitioning, and 24/7 GPU heatmap monitoring. On-Premise & Private CloudReady to Deploy on Your Infrastructure?Transform GPU chaos into unified control. Get a personalized demo and see how Float16 can streamline your GPU management.Setup in 5 minutes90%+ GPU UtilizationRequest DemoExplore PlatformOn-Premise ReadyEnterprise SecurityData Sovereignty24/7 Support Frequently Asked QuestionsEverything you need to know about the GPU Management Platform.What is Float16 GPU Management Platform?How does NVIDIA MIG support work?What is Serverless GPU and how is it different from traditional VM allocation?How does the credit-based quota system work?What deployment options are available?What access methods are supported?Who can benefit from this platform?How long does it take to set up? --- Cookie Notice: We use cookies to improve your experience. Read our Privacy Policy Deny Accept For DevOps & Infrastructure TeamsYour Data Scientists Want VMs.Your Developers Want APIs.We've Got Both.One platform that gives every team the GPU experience they're comfortable with.Start Free TrialRequest Demo90%+GPU Utilization5 minSetup TimeSelf-serveTeam AccessDifferent Teams, Different NeedsData scientists often prefer hands-on GPU access — SSH, Jupyter notebooks, and the flexibility to experiment freely with credit-based billing.Developers, especially those familiar with services like OpenAI or Pinecone, often prefer managed endpoints they can integrate directly into their applications.Supporting both shouldn't require running two separate platforms or becoming a GPU infrastructure specialist.One Platform. Two Experiences.Float16 GPU Management Platform8x GPU WorkloadsFor Data ScientistsVM-like access, credit-based billingGPU 1MIG7 InstancesClick to learn moreGPU 2Jupyter NotebookTeaching & POC readyGPU 3Remote AccessFull control via SSHGPU 4Remote AccessFull control via SSHFamiliar cloud-like experienceFor DevelopersOpenAI-compatible API endpointsGPU 5MIG7 InstancesClick to learn moreGPU 6LLM EndpointOpenAI-compatible APIGPU 7LLM EndpointOpenAI-compatible APIGPU 8LLM EndpointReady-to-use, no configFamiliar API-first experienceInfrastructure ManagementBuilt for Infrastructure TeamsEnterprise-grade infrastructure management without the complexity. Everything you need to manage GPU resources across your organization.Multi-Tenant IsolationComplete resource isolation between teams. Each workspace is fully separated with dedicated compute and storage.Role-Based Access ControlFine-grained permissions for teams and projects. Control who can access, deploy, and manage GPU resources.Flexible Quota SystemCredit-based quotas instead of fixed time slots. Teams use GPU when needed, no wasted allocations.Team Workspace ManagementSelf-serve workspace provisioning. Teams get up and running without waiting for IT tickets.Role-Based Access Control All Write ReadOrganization StructureAI ResearchNLP TeamLLM TrainingVision TeamImage GenEngineeringPlatformAPI ServicesUser Permissions by ResourceUserVMAPIBillingDeployMonitorAdminAlice ChenTeam LeadBob SmithML EngineerCarol LeeResearcherDavid KimContractorEmma WilsonDevOps Contractor| Full Write ReadComplete Visibility & ControlMonitor, track, and manage all GPU resources from a single dashboard.Unified DashboardSingle pane of glass for all GPU resources across teams.Real-Time MonitoringLive GPU utilization, memory, and performance metrics.Usage AnalyticsTrack consumption by team, project, and user.Audit LoggingComplete audit trail for compliance and governance.GPU Fleet Utilization - Last 24 Hours Low Med High PeakGPU 165%GPU 262%GPU 387%GPU 454%GPU 586%GPU 665%GPU 768%GPU 872%00:0006:0012:0018:0024:00Give Every Team the GPU Experience They PreferSee how one platform can serve your data scientists and developers — with simplified management for you.Get StartedTalk to Our Team