GPU comparison

RTX 2060 vs RTX 6000 Ada

Specifications and current cloud pricing, side by side.

TuringvsAda LovelaceUpdated 32 days ago

The RTX 6000 Ada wins for the most common use case of LLM inference and training because its 48 GB VRAM, 960 GB per second bandwidth, and dense FP16 rating of 364 TFLOPS exceed the corresponding specifications of the RTX 2060 by wide margins.

RTX 6000 Ada listed from $0.78/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 6000 Ada at $0.78/hr on QuantaCloud

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  • Most providers in stock: RTX 6000 Ada (5)

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Specifications Compared

SpecRTX 2060RTX 6000 Ada
TDP160W300W
VRAM6-12 GB48 GB
CUDA Cores1,92018,176
FP8 (dense)Not published728.5 TFLOPS
Memory TypeGDDR6GDDR6
ArchitectureTuringAda Lovelace
FP16 (dense)Not published364 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published728.5 TOPS
InterconnectPCIe 3.0PCIe 4.0
Tensor Cores240568
FP32 Performance6.5 TFLOPS91.1 TFLOPS
Memory Bandwidth336 GB/s960 GB/s
FP8 (with sparsity)Not published1,457 TFLOPS
FP16 (with sparsity)Not published728 TFLOPS
INT8 (with sparsity)Not published1,457 TOPS

Performance Analysis

The FP32 rating of 6.5 TFLOPS on the RTX 2060 stands in contrast to the 91.1 TFLOPS FP32 rating on the RTX 6000 Ada. The RTX 6000 Ada further lists dense FP16 performance at 364 TFLOPS and FP16 performance with sparsity at 728 TFLOPS. These FP16 figures allow the RTX 6000 Ada to handle matrix operations in training and inference at rates that exceed the published FP32 capability of the RTX 2060 by large margins. Memory bandwidth of 336 GB per second on the RTX 2060 limits batch sizes compared with the 960 GB per second bandwidth on the RTX 6000 Ada. The higher bandwidth on the RTX 6000 Ada supports larger batches during both training and inference steps that rely on dense FP16 or FP16 with sparsity.

Current On-Demand Offers

Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.

RTX 2060

RTX 2060 is not offered on-demand by any provider we track right now. See the RTX 2060 rental page for last-seen listed prices and a price alert.

RTX 6000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
QuantaCloudus-midwest-18$0.78$6.21Deploy
Massed Computeus-central-22$0.79$1.58Deploy
LeaderGPUThe Netherlands8$0.91$7.29Deploy
RunPodglobal1$0.99—Deploy
VERDAFIN-HEL1$1.33—Deploy

5 providers in stock, 18 offers (cheapest per provider shown). All RTX 6000 Ada offers, price history and alerts

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When to Choose the RTX 2060

The RTX 2060 suits scenarios that require only 6.5 TFLOPS FP32 and operate within a 160 W power envelope. Tasks that fit inside 12 GB VRAM and do not require published FP16 rates benefit from the lower TDP of the RTX 2060. The PCIe 3.0 interconnect remains adequate when data movement stays modest.

When to Choose the RTX 6000 Ada

The RTX 6000 Ada suits workloads that need 48 GB VRAM and dense FP16 at 364 TFLOPS. Training or inference steps that scale with 960 GB per second bandwidth and 91.1 TFLOPS FP32 gain from the Ada Lovelace architecture. The PCIe 4.0 interconnect further aids data transfers in multi GPU setups.

Use Cases

LLM Training
RTX 6000 Ada

The RTX 6000 Ada supplies 48 GB VRAM and dense FP16 at 364 TFLOPS that exceed the 6 to 12 GB VRAM and 6.5 TFLOPS FP32 of the RTX 2060.

LLM Inference
RTX 6000 Ada

The RTX 6000 Ada provides 960 GB per second bandwidth and FP16 with sparsity at 728 TFLOPS that support larger batch sizes than the RTX 2060 specifications allow.

Fine-tuning
RTX 6000 Ada

The RTX 6000 Ada lists 91.1 TFLOPS FP32 and 48 GB VRAM that accommodate fine tuning workloads beyond the 6.5 TFLOPS FP32 and 12 GB limit of the RTX 2060.

Stable Diffusion
RTX 6000 Ada

The RTX 6000 Ada delivers 960 GB per second memory bandwidth and 48 GB VRAM that enable higher resolution generation compared with the RTX 2060.

Scientific Computing
RTX 6000 Ada

The RTX 6000 Ada offers dense FP32 at 91.1 TFLOPS and PCIe 4.0 interconnect that accelerate scientific workloads beyond the 6.5 TFLOPS FP32 and PCIe 3.0 of the RTX 2060.

Frequently Asked Questions

How does FP32 performance compare between these GPUs?▾

The RTX 2060 lists 6.5 TFLOPS FP32 and the RTX 6000 Ada lists 91.1 TFLOPS FP32. The ratio favors the RTX 6000 Ada for compute heavy tasks.

Which GPU has higher memory bandwidth?▾

The RTX 6000 Ada reaches 960 GB per second while the RTX 2060 reaches 336 GB per second. Higher bandwidth supports faster data movement during training and inference.

What are the TDP values for each card?▾

The RTX 2060 lists 160 W TDP and the RTX 6000 Ada lists 300 W TDP. Power draw differs by nearly a factor of two.

Does the RTX 2060 publish FP16 performance?▾

No FP16 figure appears for the RTX 2060. The RTX 6000 Ada publishes dense FP16 at 364 TFLOPS and FP16 with sparsity at 728 TFLOPS.

Which interconnect do these GPUs use?▾

The RTX 2060 uses PCIe 3.0 and the RTX 6000 Ada uses PCIe 4.0. The newer interconnect supports higher transfer rates.

Which is cheaper to rent, the RTX 2060 or the RTX 6000 Ada?▾

Cloud rental prices for both the RTX 2060 and RTX 6000 Ada vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.

How much VRAM does the RTX 2060 have compared to the RTX 6000 Ada?▾

The RTX 2060 has 6 to 12 GB of GDDR6 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.

Can I find RTX 2060 and RTX 6000 Ada GPUs available to rent right now?▾

Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.

What is the main difference between the RTX 2060 and the RTX 6000 Ada?▾

The RTX 2060 uses the Turing architecture (2019) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 2060 has 6-12 GB of GDDR6 at 336 GB/s; the RTX 6000 Ada has 48 GB of GDDR6 at 960 GB/s, so the RTX 6000 Ada has 2.9x the memory bandwidth of the RTX 2060.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 2060 and the RTX 6000 Ada. Dense and sparse throughput are listed separately.
  • Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
  • The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
  • Read how we collect the data, or report an error on this page.

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