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2026AnnouncingDLSS
53D-GuidedNeuralRenderingStructuredDataistheGroundTruthofAI$120BStructuredDataEcosystem-TheGroundTruthofEnterprisesEnterprisestbcroageP
。tforrsC
P
Engine
ccommercicl
css
户lotformCUDFroprietry
Enginess
EnginesSource:Gartner
DBMS,2025Unstructured
Data
is
the
Context
of
AI100’sofZettabytesPerYearofUnstructuredData-GrowingExponentiallySource:IDC
Global
DataSphere,
2025“Working
with
IBM
and
NVIDIA,early
results
show
we
can
refresh
global
operationsdata
in
minutes
atreducedcost—makingacapabilitythatcanbeturned
intotangiblebusinessimpactinareassuchasmanufacturingorwarehousing.
”―ChrisWright,ChiefInformationandDigitalOfficerof
NestléIBM
watsonx.dataNVIDIA
A100IBM
Storage
ScaleData
Engines:Open
Formats:
多parquetDataGovernanceandAccessControlThroughout1,0007505002500NVIDIAcuDFOrder-to-CashDataMartUpdates3min
vs
15min83%CostSavingsCPU
GPU“DeIIAIDataPIatformwithNVIDIAheIpsusbuiIdscaIabIeandrepeatabIedatapipeIines
that
drive
automation—processing
massive
data
voIumes
inminutes
instead
of
hours
and
deIivering
transformative
vaIue
for
our
cIients.”―AbhijitDubey,CEOof
NTT
DATADellAI
Data
PlatformDataOrchestration
EngineData
EnginesNVIDIAcuVS
NVIDIAcuDFHigh
PerformanceScale-OutStorage
NVIDIA
CMX
Data
ProtectionandCyber
ResilienceNVIDIARTX
PRO6000
BlackwellDellAI
Factorywith
NVIDIAEnterpriseDataProcessing
FromHours
to
Minutes10TB
Dataset100806040200CPU
GPU3XFaster“Our
collaboration
with
NVIDIA
and
Cloud
helps
us
innovate
faster
for
more
than
abillion
Snapchatters
worldwide.By
lowering
costs
and
scaling
experiments
across
petabytesof
data,we’re
delivering
AI-powered
experiences
more
quickly
and
efficiently.
”―SaralJain,CIO
ofSnap
GoogleCloudAI
HypercomputerOpenSoftwarePerformance-optimized
Hardware50,00040,00030,00020,00010,0000FlexibleConsumptionA/B
Experimentation
Platform
45kCPUsto
1k
GPUsNVIDIAcuDFNetworkingJupiter
NetworkComputeG2VM
(NVIDIA
L4GPUs)
G4VM
(NVIDIA
RTX
PRO
6000)StorageGCS
RapidGCS
LustreApacheSparkJobsApacheSpark
Engine76%CostSavingsGoogleKubernetes
EngineControl
plane,APIs,Scheduling
and
monitoringDataprocManagedApacheSpark
and
HadoopCPU
GPUAIOptimizedInfrastructureAIDataScience
andAnalyticsJAXOpenSoftware,FrameworksXLAvLLMPlatformsLiquid
CoolingStorageNetworkingGoogleDistributedCloudVertexAIGoogleKubernetesEngineCloudRun
GoogleCompute
EngineBigQuery
Dataproc
Dataflow
BigtableSystemBuildersandOEMsNVIDIAAIPlatformAmazonBraketAmazonEKSAWSNitro
EnclavesAWSBatchAmazonEMRAmazonBedrockAmazonSageMakerAIAmazonEC2AmazonEFAAWSParallelClusterSystemBuildersandOEMsNVIDIAAIPlatformMicrosoftFoundryWindows365MicrosoftFabricAzureContainer
AppsAzureKubernetesServiceFoundryLocalMicrosoft365
CopilotMicrosoftBingSystemBuildersandOEMsNVIDIAAIPlatformOCISuperclustersOracleAIDatabaseOracleAutonomousAILakehouseOracle
AIDataPlatformOCIAIAcceleratorPacksOCIGenerativeAIOCIDataScienceOCIOKESystemBuildersandOEMsNVIDIAAIPlatformW&BModelsW&BTrainingW&BInferenceW&BWeaveCoreWeaveInferenceCoreWeaveSlurm
onKubernetesCoreWeaveKubernetesServiceCoreWeaveComputeCoreWeaveStorageCoreWeaveMissionControlSystemBuildersandOEMsNVIDIAAIPlatformAIP
LogicModelCatalogWorkshopAI
FDERubix
Ontology
Pipeline
Builder
Fusion
Agent
Studio
Model
StudioDellNVIDIAAIPlatformDL
FrameworksAgentFrameworks/ProtocolsFrontierModelBuildersModeltoProductionInferenceFrameworks
--
.-
---
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-
i-
s-
AI
for
Auto
AI
for
Customer
Support
AI
for
Engineering
AI
for
Healthcare
AI
for
Robotics
AI
for
Search
AI
for
Software
Development
AI
NativesNVIDIAAIPlatformInferenceInflectionArrives10,000X
ChatGPT
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SLMU儿TIP
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50
100
150
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M0.4
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TPS/MW40010010X50$150B$100BAnnual
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M0.4
M0.2
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MoE2Trillion
400K$45200InteractivityTPS/UserMediumKimi
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M1.6
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DriveCompanyResults1.8
M1.6
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1002004006008001,000+InteractivityTPS/UserHighGPT
MoE2Trillion128KPremiumGPT
MoE2Trillion400KUltraGPT
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M1.6
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M1.2
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RevenueOpportunity$300B$150B$30B$300B$250B$200B$150B$100B$50B$0BPremiumGPT
MoE2Trillion400K$45MediumKimi
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