GPU comparison

A16 vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

AmperevsBlackwellUpdated 34 days ago

The RTX PRO 6000 wins for the most common use case of LLM inference because its 503.8 TFLOPS dense FP16 and 96 GB VRAM exceed the A16 specifications by substantial margins derived from the listed values.

A16 listed from $0.06/GPU/hrRTX PRO 6000 listed from $0.69/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX PRO 6000 at $0.69/hr on RunPod

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  • Most providers in stock: RTX PRO 6000 (6)

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Specifications Compared

SpecA16RTX PRO 6000
TDP250W600W
VRAM16 GB96 GB
CUDA Cores1,28024,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)Not published1,007.6 TFLOPS
Memory TypeGDDR6GDDR7
ArchitectureAmpereBlackwell
FP16 (dense)17.9 TFLOPS503.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)35.9 TOPS1,007.6 TOPS
InterconnectPCIe 4.0PCIe 5.0
Tensor Cores40752
FP32 Performance4.5 TFLOPS126 TFLOPS
Memory Bandwidth200 GB/s1,792 GB/s
FP4 (with sparsity)Not published4,030.4 TFLOPS
FP8 (with sparsity)Not published2,015.2 TFLOPS
FP16 (with sparsity)35.9 TFLOPS1,007.6 TFLOPS
INT8 (with sparsity)71.8 TOPS2,015.2 TOPS

Performance Analysis

The FP16 dense figure of 503.8 TFLOPS on the RTX PRO 6000 exceeds the 17.9 TFLOPS dense FP16 on the A16 by a factor derived directly from these values. FP32 performance reaches 126 TFLOPS on the RTX PRO 6000 compared with 4.5 TFLOPS on the A16. Memory bandwidth at 1792 GB/s on the RTX PRO 6000 versus 200 GB/s on the A16 supports larger batch processing in memory bound operations. FP16 with sparsity measures 1007.6 TFLOPS on the RTX PRO 6000 against 35.9 TFLOPS on the A16. INT8 dense performance lists 1007.6 TOPS on the RTX PRO 6000 and 35.9 TOPS on the A16. These ratios indicate the RTX PRO 6000 handles greater computational loads in training and inference scenarios that rely on dense FP16 or dense FP32 operations.

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.

A16

A16 is not offered on-demand by any provider we track right now. See the A16 rental page for last-seen listed prices and a price alert.

RTX PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Vast.aiCzechia, CZ1$1.57—Deploy
QuantaCloudus-east-42$2.17$4.33Deploy
Massed Computeus-east-11$2.19—Deploy
VERDAFIN-HEL2$2.40$4.79Deploy

6 providers in stock, 19 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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When to Choose the A16

The A16 suits deployments where TDP remains at 250W and FP16 dense performance of 17.9 TFLOPS meets requirements without excess power draw. Scenarios with limited interconnect demands under PCIe 4.0 and VRAM needs at 16 GB GDDR6 favor the A16 for contained workloads.

When to Choose the RTX PRO 6000

The RTX PRO 6000 suits scenarios requiring 96 GB GDDR7 VRAM and 1792 GB/s memory bandwidth to accommodate large models. FP16 dense performance at 503.8 TFLOPS and FP32 at 126 TFLOPS enable handling of intensive inference or training tasks under PCIe 5.0 interconnect.

Use Cases

LLM Training
RTX PRO 6000

The RTX PRO 6000 supplies 503.8 TFLOPS dense FP16 and 96 GB VRAM for larger training batches.

LLM Inference
RTX PRO 6000

The RTX PRO 6000 delivers 503.8 TFLOPS dense FP16 and 1792 GB/s bandwidth to sustain high throughput inference.

Fine-tuning
RTX PRO 6000

The RTX PRO 6000 provides 1007.6 TOPS dense INT8 and 96 GB VRAM to manage fine tuning parameter updates.

Stable Diffusion
RTX PRO 6000

Scientific Computing
RTX PRO 6000

The RTX PRO 6000 supplies 126 TFLOPS FP32 and 1792 GB/s memory bandwidth for compute intensive simulations.

Frequently Asked Questions

What is the FP16 dense performance difference between the A16 and RTX PRO 6000?▾

The A16 lists 17.9 TFLOPS dense FP16 while the RTX PRO 6000 lists 503.8 TFLOPS dense FP16.

What TDP values apply to the A16 and RTX PRO 6000?▾

The A16 operates at 250W TDP and the RTX PRO 6000 operates at 600W TDP.

Which GPU supports higher memory bandwidth?▾

The RTX PRO 6000 supports 1792 GB/s memory bandwidth compared with 200 GB/s on the A16.

How do the FP32 figures compare?▾

The A16 provides 4.5 TFLOPS FP32 and the RTX PRO 6000 provides 126 TFLOPS FP32.

Which is cheaper to rent, the A16 or the RTX PRO 6000?▾

Cloud rental prices for both the A16 and RTX PRO 6000 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 A16 have compared to the RTX PRO 6000?▾

The A16 has 16 GB of GDDR6 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find A16 and RTX PRO 6000 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 A16 and the RTX PRO 6000?▾

The A16 uses the Ampere architecture (2021) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 28.1x the dense FP16 throughput (503.8 vs 17.9 TFLOPS, both without sparsity) and 9.0x the memory bandwidth of the A16.

Rent these GPUs

Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A16 and the RTX PRO 6000. 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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